aTyr Pharma, Inc. Aktienkurs
Ist aTyr Pharma, Inc. eine Topscorer-Aktie nach der Dividenden-, High-Growth-Investing- oder Levermann-Strategie?
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📘 Marktkapitalisierung
📈 Was ist das?
Die Marktkapitalisierung zeigt, wie viel ein Unternehmen laut Börse aktuell wert ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie hilft Unternehmen in Größenklassen (Large, Mid, Small Cap) einzuordnen und gibt Hinweise auf Marktmacht und Stabilität.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Große Unternehmen gelten als stabiler, zahlen oft Dividenden, wachsen aber langsamer.
- Kleine Firmen können stärker wachsen, sind aber schwankungsanfälliger.
- Die Marktkapitalisierung ist ein guter Indikator für Unternehmensgröße, aber kein Maß für Unter- oder Überbewertung.
📘 Enterprise Value (Unternehmenswert)
📈 Was ist das?
Der Enterprise Value (EV) zeigt, was ein Unternehmen tatsächlich kostet, wenn man es komplett übernehmen würde – inklusive Schulden und abzüglich Cash.
🧮 Wie wird es berechnet?
(= Marktkapitalisierung + Nettoverschuldung)
🏛️ Wofür ist es wichtig?
Der EV ist eine realistischere Bewertungsbasis als die Marktkapitalisierung, da er die Kapitalstruktur berücksichtigt. Er ist Grundlage für Kennzahlen wie EV/FCF oder EV/Sales.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Der Enterprise Value zeigt, was ein Unternehmen tatsächlich wert ist – unabhängig davon, wie es finanziert ist.
- Er ist besonders wichtig für professionelle Investoren, da er eine objektivere Grundlage für Bewertungsvergleiche bietet als die Marktkapitalisierung allein.
- Ein Unternehmen mit hoher Verschuldung erscheint im EV teurer, eines mit viel Cash günstiger – auch wenn sie an der Börse gleich viel wert sind.
📘 Nettoverschuldung
📈 Was ist das?
Die Nettoverschuldung zeigt, wie viele Schulden nach Abzug des verfügbaren Cashs tatsächlich verbleiben.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie zeigt, wie stark ein Unternehmen von Fremdkapital abhängig ist – und wie gut es in der Lage ist, seine Schulden kurzfristig zu bedienen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine niedrige oder negative Nettoverschuldung bedeutet hohe finanzielle Stabilität.
- Unternehmen mit viel Cash und geringer Verschuldung sind besser gerüstet für Krisen.
- Eine hohe Nettoverschuldung erhöht das Risiko – besonders bei steigenden Zinsen oder konjunkturellen Schwächen.
📘 Cash
📈 Was ist das?
Der Cashbestand zeigt, wie viele liquide Mittel einem Unternehmen sofort zur Verfügung stehen.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Er gibt Auskunft über die finanzielle Flexibilität: Ein hoher Cashbestand ermöglicht Investitionen, Rückkäufe oder Krisenresistenz.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Cashbestand zeigt finanzielle Stärke und Handlungsspielraum.
- Cash kann für Investitionen, Schuldentilgung oder Aktienrückkäufe genutzt werden.
- Allerdings: Zu viel ungenutztes Kapital kann auch auf mangelnde Investitionsideen hinweisen.
📘 Anzahl ausstehender Aktien
📈 Was ist das?
Die Anzahl ausstehender Aktien gibt an, wie viele Aktien eines Unternehmens aktuell im Umlauf sind und von Investoren gehalten werden.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie ist die Grundlage für viele Kennzahlen wie Gewinn je Aktie (EPS), Marktkapitalisierung oder KGV.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Je weniger Aktien im Umlauf sind, desto höher fällt z. B. der Gewinn je Aktie aus – wichtig für Bewertung und Dividendenrendite.
- Aktienrückkäufe verringern die Anzahl ausstehender Aktien – und steigern den Wert je Aktie.
- Kapitalerhöhungen haben den gegenteiligen Effekt: mehr Aktien → Verwässerung der bestehenden Anteile.
📘 Kurs-Gewinn-Verhältnis (KGV)
📈 Was ist das?
Das KGV zeigt, wie oft der Gewinn pro Aktie im aktuellen Aktienkurs enthalten ist – also wie „teuer“ eine Aktie im Verhältnis zum Gewinn ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Das KGV gehört zu den bekanntesten Bewertungskennzahlen. Es hilft Anlegern einzuschätzen, ob eine Aktie im Vergleich zu ihrem Gewinn eher günstig oder teuer erscheint.
🎯 Was bedeutet das für Anleger?
- Ein niedriges KGV kann auf eine günstige Bewertung hindeuten – oder auf Probleme im Geschäftsmodell.
- Ein hohes KGV kann Wachstumserwartungen widerspiegeln – oder eine überbewertete Aktie.
📘 Kurs-Umsatz-Verhältnis (KUV)
📈 Was ist das?
Das KUV zeigt, wie viel Anleger für 1 € Umsatz eines Unternehmens zahlen – unabhängig vom Gewinn.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Das KUV ist besonders bei wachstumsstarken oder noch nicht profitablen Unternehmen hilfreich. Es zeigt, wie hoch der Umsatz an der Börse bewertet wird.
🎯 Was bedeutet das für Anleger?
- Ein niedriges KUV kann auf Unterbewertung hindeuten – oder auf schwache Margen.
- Ein hohes KUV kann hohe Erwartungen widerspiegeln – oder übermäßigen Optimismus.
- Besonders sinnvoll bei Wachstumsunternehmen, bei denen der Gewinn oder Free Cashflow (noch) keine Aussagekraft hat.
📘 Unternehmenswert zu Umsatz (EV/Sales)
📈 Was ist das?
EV/Sales zeigt, wie viel Anleger für 1 € Umsatz eines Unternehmens zahlen, wenn man auch Schulden und Cash berücksichtigt – es ist eine kapitalstrukturbereinigte Version des KUV.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Diese Kennzahl eignet sich besonders für den Vergleich von Unternehmen mit unterschiedlicher Verschuldung – sie zeigt, wie teuer ein Unternehmen tatsächlich im Verhältnis zum Umsatz ist.
🎯 Was bedeutet das für Anleger?
- EV/Sales ist neutral gegenüber der Kapitalstruktur und eignet sich gut für Unternehmensvergleiche.
- Ein niedriges Verhältnis kann auf eine günstig bewertete Aktie hindeuten – ein hohes Verhältnis auf hohe Erwartungen oder Überbewertung.
- Besonders nützlich bei wachstumsstarken, noch nicht profitablen Firmen.
📘 Unternehmenswert zu Free Cashflow (EV/FCF)
📈 Was ist das?
EV/FCF zeigt, wie viele Jahre es dauern würde, bis ein Unternehmen seinen Unternehmenswert durch freien Cashflow „zurückverdient”.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Diese Kennzahl hilft, Unternehmen auf Basis ihrer tatsächlichen Cash-Erträge zu bewerten – unabhängig von Bilanzierungsregeln oder buchhalterischem Gewinn.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein niedriges EV/FCF deutet auf eine günstige Bewertung bei starker Cashgenerierung hin.
- Ein hohes EV/FCF kann entweder auf Optimismus oder auf temporär schwachen Cashflow hindeuten.
- Besonders hilfreich bei reifen, profitablen Unternehmen mit stabilen Cashflows.
📘 Kurs-Buchwert-Verhältnis (KBV)
📈 Was ist das?
Das KBV zeigt, wie hoch der Marktwert eines Unternehmens im Verhältnis zu seinem bilanziellen Eigenkapital ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Das KBV ist besonders bei Substanzwerten (z. B. Banken, Industrie) relevant. Es hilft Anlegern zu erkennen, ob ein Unternehmen unter oder über seinem buchhalterischen Vermögen bewertet ist.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein KBV unter 1 kann auf Unterbewertung oder schwache Rentabilität hindeuten.
- Ein KBV über 1 zeigt, dass der Markt dem Unternehmen Mehrwert über den Buchwert hinaus zuschreibt (z. B. Marken, Patente, Wachstum).
- Das KBV eignet sich besonders gut für Unternehmen mit stabilen, materiellen Vermögenswerten.
📘 Eigenkapitalquote
📈 Was ist das?
Die Eigenkapitalquote zeigt, wie hoch der Anteil des Eigenkapitals an der Bilanzsumme eines Unternehmens ist – also wie stark es sich aus eigenen Mitteln finanziert.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Eine hohe Eigenkapitalquote steht für finanzielle Stabilität, Krisenfestigkeit und gute Bonität. Sie ist besonders relevant bei der Beurteilung der Verschuldung.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe Eigenkapitalquote signalisiert finanzielle Stabilität – besonders in Krisenzeiten.
- Ein niedriger Wert kann auf ein höheres Risiko oder eine aggressive Verschuldung hinweisen.
- Wichtig: Die Eigenkapitalquote sollte immer gemeinsam mit der Eigenkapitalrendite betrachtet werden. Nur so lässt sich beurteilen, ob ein Unternehmen nicht nur solide, sondern auch effizient wirtschaftet.
📘 Eigenkapitalrendite (ROE)
📈 Was ist das?
Die Eigenkapitalrendite zeigt, wie effizient ein Unternehmen mit dem Kapital seiner Aktionäre arbeitet – also wie viel Gewinn es pro Euro Eigenkapital erwirtschaftet.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die Eigenkapitalrendite ist eine zentrale Rentabilitätskennzahl. Sie hilft Anlegern zu erkennen, ob das Unternehmen eine attraktive Verzinsung auf das eingesetzte Eigenkapital erwirtschaftet.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe Eigenkapitalrendite spricht für ein starkes, effizientes Geschäftsmodell.
- Besonders interessant ist sie bei kapitalintensiven Firmen oder solchen mit hoher Eigenkapitalquote.
- Wichtig: Ein sehr hoher ROE kann auch auf hohe Schulden hinweisen – daher sollte sie immer im Kontext mit der Eigenkapitalquote betrachtet werden.
📘 Return on Capital Employed (ROCE)
📈 Was ist das?
ROCE misst die Gesamtrentabilität eines Unternehmens – also wie effizient es das eingesetzte Kapital (Eigen- und Fremdkapital) zur Gewinnerzielung nutzt.
🧮 Wie wird es berechnet?
Das eingesetzte Kapital ist das gesamte betriebsnotwendige Kapital, unabhängig von der Finanzierungsquelle.
🏛️ Wofür ist es wichtig?
ROCE eignet sich besonders gut für den Vergleich unterschiedlich finanzierter Unternehmen. Es zeigt, wie effektiv ein Unternehmen Kapital investiert – unabhängig von der Kapitalstruktur.
🎯 Was bedeutet das für Anleger?
- Ein hoher ROCE zeigt, dass ein Unternehmen sein Kapital effizient einsetzt – unabhängig davon, ob es durch Eigen- oder Fremdkapital finanziert ist.
- Je höher der ROCE im Vergleich zu ähnlichen Unternehmen, desto mehr Wert schafft das Unternehmen mit seinem investierten Kapital.
- Besonders wichtig ist der ROCE bei Firmen mit hohen Investitionen – z. B. in Industrie, Energie oder Infrastruktur.
📘 Return on Invested Capital (ROIC)
📈 Was ist das?
ROIC zeigt, wie effizient ein Unternehmen das Kapital investiert, das langfristig im operativen Geschäft gebunden ist – unabhängig davon, ob es aus Eigen- oder Fremdkapital stammt.
🧮 Wie wird es berechnet?
- NOPAT = „Net Operating Profit After Taxes“
- Investiertes Kapital = operatives Vermögen abzüglich nicht-verzinster Schulden
🏛️ Wofür ist es wichtig?
ROIC ist eine der präzisesten Kennzahlen zur Bewertung der Kapitalrendite – besonders im Vergleich zur Eigenkapitalrendite, weil es Verzerrungen durch Schulden vermeidet. Er zeigt, ob ein Unternehmen Mehrwert für alle Kapitalgeber schafft.
🎯 Was bedeutet das für Anleger?
- Ein hoher ROIC zeigt, wie gut ein Unternehmen mit dem tatsächlich investierten (betriebsnotwendigen) Kapital wirtschaftet.
- Im Unterschied zu ROCE wird nur Kapital betrachtet, das wirklich zur Finanzierung operativer Aktivitäten dient – und verzinst werden muss.
- Besonders hilfreich, um die Kapitalrendite von Unternehmen mit viel „überschüssigem“ Kapital oder zinsfreien Verbindlichkeiten realistisch zu vergleichen.
📘 Verschuldungsgrad (Leverage Ratio)
📈 Was ist das?
Der Verschuldungsgrad zeigt, wie stark ein Unternehmen durch verzinsliche Schulden (z. B. Kredite und Anleihen) im Verhältnis zum Eigenkapital finanziert ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die Kennzahl hilft, das finanzielle Risiko und die Abhängigkeit von Fremdkapital zu beurteilen. Ein hoher Verschuldungsgrad kann die Eigenkapitalrendite steigern – birgt aber auch erhöhte Risiken bei Zinsanstiegen oder Liquiditätsengpässen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein niedriger Verschuldungsgrad steht für finanzielle Stabilität und Unabhängigkeit.
- Ein hoher Wert kann auf erhöhte Risiken hinweisen – insbesondere bei schwankenden Zinsen oder konjunkturellen Schwächen.
- Wichtig: Immer im Kontext zur Branche und Kapitalintensität bewerten.
📘 Umsatz
📈 Was ist das?
Der Umsatz zeigt, wie viel ein Unternehmen insgesamt mit seinen Produkten und Dienstleistungen verdient – also den Bruttoerlös vor Abzug von Kosten.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Der Umsatz ist eine der zentralen Kennzahlen zur Einschätzung der Unternehmensgröße, Marktstellung und Wachstumskraft.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein wachsender Umsatz zeigt eine steigende Nachfrage und kann ein guter Frühindikator für Gewinnsteigerungen sein.
- Vergleiche von aktuellem und erwartetem Umsatz geben Hinweise auf das Marktumfeld und Analystenerwartungen.
- Wichtig: Starker Umsatz allein genügt nicht – auch Margen und Profitabilität zählen.
📘 EBITDA
📈 Was ist das?
EBITDA steht für „Earnings Before Interest, Taxes, Depreciation and Amortization“ – also Gewinn vor Zinsen, Steuern und Abschreibungen. Es zeigt das operative Ergebnis eines Unternehmens, bereinigt um bilanztechnische und finanzierungsbedingte Effekte.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
EBITDA ist eine verbreitete Kennzahl zur Beurteilung der operativen Leistungsfähigkeit – insbesondere bei kapitalintensiven Unternehmen oder im internationalen Vergleich.
🎯 Was bedeutet das für Anleger?
- Ein hohes oder wachsendes EBITDA spricht für starke operative Erträge – unabhängig von Bilanzierung oder Steuerlast.
- EBITDA ist besonders nützlich, um Unternehmen branchenübergreifend zu vergleichen.
- Wichtig: EBITDA ist keine offizielle Gewinnkennzahl – Abschreibungen und Finanzierungskosten werden ausgeklammert.
📘 EBIT
📈 Was ist das?
EBIT steht für „Earnings Before Interest and Taxes“ – also Gewinn vor Zinsen und Steuern. Es zeigt das operative Ergebnis eines Unternehmens nach Abschreibungen, aber vor Finanzierungs- und Steueraufwand.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
EBIT ist eine zentrale Kennzahl zur Beurteilung der Profitabilität aus dem Kerngeschäft – unabhängig von Kapitalstruktur oder Steuersystem.
🎯 Was bedeutet das für Anleger?
- Ein hohes EBIT deutet auf ein profitables Kerngeschäft hin – vor Zinslasten oder steuerlichen Effekten.
- Es erlaubt objektivere Vergleiche zwischen Unternehmen mit unterschiedlicher Finanzierung.
- Im Vergleich mit EBITDA zeigt EBIT bereits den Einfluss von Abschreibungen auf das operative Ergebnis.
📘 Nettogewinn
📈 Was ist das?
Der Nettogewinn ist der verbleibende Jahresüberschuss (oder -fehlbetrag) eines Unternehmens – nach Abzug aller Kosten, Steuern, Zinsen und Abschreibungen
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Der Nettogewinn ist die zentrale Erfolgskennzahl – er zeigt, wie profitabel ein Unternehmen nach allen Kosten tatsächlich arbeitet.
🎯 Was bedeutet das für Anleger?
- Ein steigender Nettogewinn zeigt, dass das Unternehmen effizient wirtschaftet – trotz aller Kosten.
- Die Entwicklung des Gewinns beeinflusst z. B. direkt das KGV und weitere Kennzahlen.
- Im Zeitverlauf lässt sich ablesen, wie stabil und profitabel ein Geschäftsmodell wirklich ist.
📘 Free Cashflow (FCF)
📈 Was ist das?
Der Free Cashflow gibt Aufschluss über die echte finanzielle Stärke eines Unternehmens – unabhängig von Bilanzierungsregeln. Er zeigt, wie viel Spielraum für Dividenden, Aktienrückkäufe oder Schuldenabbau besteht.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
FCF reflects a company’s real financial strength – regardless of accounting profits. It shows how much flexibility a company has for dividends, share buybacks, or debt reduction.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Free Cashflow bedeutet, dass ein Unternehmen echte Finanzkraft besitzt – unabhängig vom bilanzierten Gewinn.
- Er ist oft die solideste Grundlage für nachhaltige Dividenden und Aktienrückkäufe.
- Sinkender FCF kann ein Warnsignal sein – auch wenn der Gewinn stabil aussieht.
📘 Umsatzwachstum
📈 Was ist das?
Das Umsatzwachstum zeigt, wie stark sich die Erlöse eines Unternehmens im Vergleich zum Vorjahr verändert haben – tatsächlich (TTM) und auf Prognosebasis (erwartet).
🧮 Wie wird es berechnet?
Erwartet = (Umsatz erwartet ÷ Umsatz Vorjahr − 1) × 100
Erwartetes Wachstum basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Ein wachsender Umsatz ist ein zentrales Signal für steigende Nachfrage, Geschäftsausweitung und Marktanteilsgewinne – besonders bei Wachstumsunternehmen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Wachstum ist der Motor langfristiger Wertsteigerung – besonders bei Technologie- und Wachstumsaktien.
- Wichtig ist nicht nur das aktuelle Wachstum, sondern auch dessen Nachhaltigkeit.
- Prognosen zeigen, ob Analysten weiteres Potenzial erwarten – oder eine Verlangsamung.
📘 EBITDA-Wachstum
📈 Was ist das?
Das EBITDA-Wachstum zeigt, wie stark das operative Ergebnis eines Unternehmens vor Zinsen, Steuern und Abschreibungen im Vergleich zum Vorjahr gestiegen oder gesunken ist.
🧮 Wie wird es berechnet?
Erwartet = (erwartetes EBITDA ÷ EBITDA Vorjahr − 1) × 100
Erwartetes Wachstum basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Ein steigendes EBITDA ist ein Zeichen für verbesserte operative Ertragskraft – unabhängig von Finanzierungsstruktur oder Abschreibungen.
🎯 Was bedeutet das für Anleger?
- Starkes EBITDA-Wachstum signalisiert operative Effizienz und Skalierung – besonders relevant in Wachstumsphasen.
- EBITDA-Wachstum ist ein Frühindikator für Margen- und Gewinnentwicklung – sollte aber stets im Zusammenhang mit Umsatz und EBIT betrachtet werden.
📘 EBIT Wachstum
📈 Was ist das?
Das EBIT-Wachstum zeigt, wie stark das operative Ergebnis eines Unternehmens (nach Abschreibungen, aber vor Zinsen und Steuern) im Vergleich zum Vorjahr gewachsen ist.
🧮 Wie wird es berechnet?
Erwartet = (erwartetes EBIT ÷ EBIT Vorjahr − 1) × 100
Erwartetes Wachstum basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Das EBIT-Wachstum ist ein direkter Indikator für die wirtschaftliche Entwicklung des operativen Geschäfts – unter Berücksichtigung der Kapitalintensität (Abschreibungen).
🎯 Was bedeutet das für Anleger?
- Steigendes EBIT signalisiert wachsende operative Rentabilität – auch unter Berücksichtigung von Abschreibungen.
- Das EBIT-Wachstum ist ein wichtiges Maß zur Beurteilung von Geschäftsmodellen mit hohen Investitionskosten.
- Im Zusammenspiel mit Umsatz- und EBITDA-Wachstum ergibt sich ein umfassendes Bild zur operativen Entwicklung.
📘 Nettogewinn-Wachstum
📈 Was ist das?
Das Nettogewinn-Wachstum zeigt, wie stark der Jahresüberschuss eines Unternehmens gegenüber dem Vorjahr gestiegen oder gesunken ist – sowohl tatsächlich (TTM) als auch auf Basis von Prognosen (erwartet).
🧮 Wie wird es berechnet?
Erwartet = (erwarteter Nettogewinn ÷ Nettogewinn Vorjahr − 1) × 100
Der erwartete Wert basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Der Gewinn ist die entscheidende Ergebnisgröße für ein Unternehmen. Ein wachsender Nettogewinn deutet auf steigende Effizienz, stabile Kostenkontrolle und nachhaltige Ertragskraft hin.
🎯 Was bedeutet das für Anleger?
- Wachsender Nettogewinn stärkt die Bewertung, Dividendenfähigkeit und Kursfantasie.
- Stagnierender oder rückläufiger Gewinn trotz Umsatzwachstum kann auf Margendruck hinweisen.
📘 Free Cashflow-Wachstum
📈 Was ist das?
Das Free-Cashflow-Wachstum zeigt, wie sich der freie Mittelzufluss eines Unternehmens im Vergleich zum Vorjahr verändert hat – also der Betrag, der nach allen operativen Ausgaben und Investitionen übrig bleibt.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Free Cashflow ist der echte, verfügbare Geldzufluss. Wachstum in diesem Bereich ist ein Zeichen für finanzielle Stärke und steigende Flexibilität bei Dividenden, Rückkäufen oder Investitionen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Sinkender Free Cashflow kann auf steigende Investitionen, höhere Kosten oder stagnierende operative Erträge hindeuten.
- Besonders bei Dividendenwerten ist das FCF-Wachstum wichtig – denn Dividenden werden letztlich aus dem verfügbaren Cash gezahlt.
- Ein negativer Trend sollte genauer analysiert werden – er ist nicht zwangsläufig schlecht, aber potenziell ein Warnsignal.
📘 Bruttomarge
📈 Was ist das?
Die Bruttomarge zeigt, wie viel vom Umsatz nach Abzug der direkten Herstellungskosten (Material, Produktion) als Bruttogewinn übrig bleibt – also der „Rohgewinn“ eines Unternehmens.
🧮 Wie wird es berechnet?
Auch: Bruttomarge = Bruttogewinn ÷ Umsatz × 100
🏛️ Wofür ist es wichtig?
Die Bruttomarge gibt Aufschluss über die Profitabilität eines Produkts oder Geschäftsmodells vor Fixkosten, Steuern und Zinsen. Sie zeigt, wie effizient ein Unternehmen produzieren oder einkaufen kann.
🎯 Was bedeutet das für Anleger?
- Eine hohe Bruttomarge deutet auf starke Preissetzungsmacht und effiziente Herstellung hin.
- Sinkende Bruttomargen können auf Kostensteigerungen oder Preisdruck hindeuten.
- Besonders im Vergleich zu Wettbewerbern liefert die Bruttomarge wertvolle Einblicke in die Geschäftsqualität.
📘 EBITDA-Marge
📈 Was ist das?
Die EBITDA-Marge zeigt, wie viel vom Umsatz als operativer Gewinn vor Zinsen, Steuern und Abschreibungen (EBITDA) übrig bleibt. Sie misst die operative Effizienz – ohne Verzerrungen durch Finanzierung oder Buchwerte.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die EBITDA-Marge hilft zu verstehen, wie viel operativer Gewinn ein Unternehmen aus jedem Euro Umsatz erzielt – unabhängig von Kapitalstruktur oder steuerlichem Umfeld.
🎯 Was bedeutet das für Anleger?
- Eine hohe EBITDA-Marge zeigt starke operative Ertragskraft – unabhängig von Bilanzierungseffekten.
- Die Marge ermöglicht gute Vergleiche zwischen Unternehmen und Branchen.
- Ein stabiler oder wachsender Wert kann auf effiziente Kostenkontrolle und Skalierbarkeit hindeuten.
📘 EBIT-Marge
📈 Was ist das?
Die EBIT-Marge zeigt, wie viel Prozent des Umsatzes als operativer Gewinn nach Abschreibungen, aber vor Zinsen und Steuern übrig bleiben.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die EBIT-Marge misst die operative Ertragskraft eines Unternehmens unter Berücksichtigung der Kapitalintensität (z. B. Maschinen, Anlagen). Sie eignet sich gut zum Vergleich von Geschäftsmodellen mit unterschiedlich hohen Abschreibungen.
🎯 Was bedeutet das für Anleger?
- Eine hohe EBIT-Marge zeigt, dass ein Unternehmen auch nach Abschreibungen effizient arbeitet.
- Sie ist besonders relevant in kapitalintensiven Branchen.
- Langfristig stabile oder steigende Margen sind ein Zeichen wirtschaftlicher Stärke und Preissetzungsmacht.
📘 Nettomarge
📈 Was ist das?
Die Nettomarge zeigt, wie viel vom Umsatz am Ende als „Reingewinn“ übrig bleibt – also nach Abzug aller Kosten, Zinsen, Steuern und Abschreibungen.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die Nettomarge gibt an, wie effizient ein Unternehmen über alle Stufen hinweg wirtschaftet. Sie zeigt, wie viel Gewinn tatsächlich je Euro Umsatz übrig bleibt.
🎯 Was bedeutet das für Anleger?
- Eine hohe Nettomarge zeigt, dass ein Unternehmen nicht nur operativ stark ist, sondern auch seine Finanzierung und Steuerbelastung im Griff hat.
- Vergleiche mit Wettbewerbern geben Einblicke in die wirtschaftliche Qualität.
- Sinkende Nettomargen trotz Umsatzwachstum können ein Warnsignal sein – etwa für steigende Kosten oder sinkende Effizienz.
📘 Free Cashflow Marge
📈 Was ist das?
Die Free-Cashflow-Marge zeigt, wie viel vom Umsatz nach Abzug aller operativen Ausgaben und Investitionen tatsächlich als freier Mittelzufluss übrig bleibt.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Diese Marge misst die echte Liquidität, die ein Unternehmen erwirtschaftet – unabhängig von Bilanzierungsregeln oder Abschreibungen. Sie ist besonders relevant für Dividenden, Rückkäufe und Investitionen.
🎯 Was bedeutet das für Anleger?
- Eine hohe Free-Cashflow-Marge zeigt, dass ein Unternehmen nachhaltig liquide Mittel erwirtschaftet.
- Sie ist ein starkes Signal für finanzielle Stabilität und Ausschüttungspotenzial.
- Wichtig ist der langfristige Trend – sinkende Werte können auf steigende Investitionen oder rückläufige operative Effizienz hindeuten.
📘 Ergebnis je Aktie (EPS)
📈 Was ist das?
Das Ergebnis je Aktie (EPS) zeigt, wie viel Gewinn auf eine einzelne Aktie entfällt – und ist eine der wichtigsten Kennzahlen zur Bewertung von Unternehmen.
🧮 Wie wird es berechnet?
Die verwässerte Aktienanzahl berücksichtigt auch potenzielle neue Aktien, etwa durch Optionen, Wandelanleihen oder andere Umtauschrechte.
🏛️ Wofür ist es wichtig?
EPS bildet die Basis für viele Bewertungskennzahlen wie KGV, PEG oder Payout Ratio. Es macht den Gewinn für Aktionäre vergleichbar – unabhängig von der Unternehmensgröße.
🎯 Was bedeutet das für Anleger?
- EPS hilft, die Profitabilität pro Aktie zu erfassen – und ist besonders wichtig im Zeitvergleich oder im Vergleich mit Analystenschätzungen.
- Steigendes EPS kann ein Zeichen für stabiles Wachstum oder Aktienrückkäufe sein.
- Wichtig: Verwende verwässertes EPS für realistische Bewertungen – besonders bei stark aktienbasierten Vergütungssystemen.
📘 Free Cashflow je Aktie (FCF je Aktie)
📈 Was ist das?
Der Free Cashflow je Aktie zeigt, wie viel freier Mittelzufluss einem Unternehmen pro Aktie zur Verfügung steht – nach Investitionen, aber vor Dividenden oder Schuldentilgung.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Der FCF je Aktie zeigt, wie viel liquide Mittel pro Aktie tatsächlich im Unternehmen verbleiben – wichtig für Dividenden, Aktienrückkäufe oder Schuldentilgung. Im Gegensatz zum Gewinn ist er schwerer manipulierbar und daher besonders aussagekräftig.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Free Cashflow je Aktie ist ein Zeichen für hohe finanzielle Flexibilität.
- Er zeigt, wie viel Kapital ein Unternehmen effektiv einsetzen oder ausschütten kann.
- Besonders relevant für dividendenstarke Unternehmen oder solche mit starker Kapitalrendite.
📘 Short Interest
📈 Was ist das?
Short Interest zeigt, wie viele Aktien eines Unternehmens aktuell leerverkauft wurden – also von Investoren geliehen und verkauft, in der Erwartung fallender Kurse.
🧮 Wie wird es berechnet?
Der Wert zeigt den Anteil der Aktien, der aktuell auf fallende Kurse spekuliert wird.
🏛️ Wofür ist es wichtig?
Short Interest dient als Stimmungsindikator: Ein hoher Wert deutet auf Skepsis oder negative Erwartungen gegenüber dem Unternehmen hin – kann aber auch zu einem „Short Squeeze“ führen, wenn der Kurs plötzlich steigt.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein niedriger Short Interest deutet auf Vertrauen in das Unternehmen hin.
- Ein hoher Wert kann ein Warnsignal sein – oder eine Chance, wenn sich die Stimmung dreht.
- Besonders spannend in volatilen Märkten oder vor wichtigen Quartalszahlen.
📘 Employees
📈 Was ist das?
Die Mitarbeiteranzahl zeigt, wie viele Personen ein Unternehmen weltweit beschäftigt – ein Indikator für Größe, Struktur und Geschäftsmodell.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie hilft bei der Einschätzung von Skaleneffekten, Effizienz und Personalkosten. Zusammen mit Umsatz und Gewinn lassen sich Kennzahlen wie Produktivität je Mitarbeiter ableiten.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Viele Mitarbeiter bedeuten große operative Komplexität – aber auch hohes Umsatzpotenzial.
- Produktivität je Mitarbeiter ist ein wichtiger Indikator für Effizienz.
- Besonders spannend bei stark wachsenden Tech- oder Industrieunternehmen.
📘 Umsatz je Mitarbeiter
📈 Was ist das?
Der Umsatz je Mitarbeiter zeigt, wie viel Erlös ein Unternehmen durchschnittlich pro Beschäftigtem erwirtschaftet – eine Kennzahl für Effizienz und Produktivität.
🧮 Wie wird es berechnet?
Die Mitarbeiterzahl stammt in der Regel aus dem letzten verfügbaren Jahresbericht.
🏛️ Wofür ist es wichtig?
Diese Kennzahl hilft, Geschäftsmodelle zu vergleichen – insbesondere zwischen arbeitsintensiven und technologiegetriebenen Unternehmen. Ein hoher Wert deutet auf Automatisierung, Effizienz oder hohen Wertschöpfungsanteil hin.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Umsatz je Mitarbeiter spricht für ein skalierbares und margenstarkes Geschäftsmodell.
- Ein niedriger Wert kann auf arbeitsintensive Prozesse oder geringere Wertschöpfung hinweisen.
- Besonders hilfreich beim Vergleich von Tech- vs. Industrieunternehmen.
aTyr Pharma, Inc. Aktie Analyse
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aTyr Pharma, Inc. — Special Call - aTyr Pharma, Inc.
1. Management Discussion
Good afternoon, ladies and gentlemen, and welcome to the aTyr Pharma conference call. [Operator Instructions] As a reminder, this conference is being recorded for replay purposes.
It is now my pleasure to hand the conference call over to Ashlee Dunston, aTyr's Senior Director of Investor Relations and Public Affairs. Ms. Dunston, you may begin.
Thank you, and good afternoon, everyone. Thank you for joining us today to discuss a regulatory and clinical update for our efzofitimod in pulmonary sarcoidosis program.
Before we begin, I would like to remind everyone that except for statements of historical facts, the statements made by management and aTyr guests and responses to questions on this conference call are forward-looking statements under the safe harbor provision of the Private Securities Litigation Reform Act of 1995. These statements involve risks and uncertainties that can cause actual results to differ materially from those in such forward-looking statements.
Please see the forward-looking statement disclaimer in the company's press release issued this afternoon as well as the risk factors in the company's SEC filings and included in our most recent annual report on Form 10-K and quarterly reports on Form 10-Q. Undue reliance should not be placed on forward-looking statements, which speak only as of the date they are made as facts and circumstances underlying these forward-looking statements may change. Except as required by law, aTyr Pharma disclaims any obligation to update these forward-looking statements to reflect future information, events or circumstances.
We are joined today by Dr. Sanjay Shukla, our President and CEO; and Jill Broadfoot, our CFO. On the call, Sanjay will provide an overview of our recent FDA meeting and outline the path forward for efzofitimod in pulmonary sarcoidosis, and then we will update the -- we will open the call up to any questions, which can be addressed by Sanjay or Jill.
I will now turn the call over to Sanjay.
Thank you, Ashlee. Good afternoon, everyone, and thank you for joining us. Earlier today, we issued a press release summarizing the outcome of our recent Type C meeting with the U.S. Food and Drug Administration or FDA. The purpose of this meeting was to review the results of the recently completed Phase III EFZO-FIT study and determine the path forward for efzofitimod in pulmonary sarcoidosis.
We held a meeting in mid-April and received the official meeting minutes last week. Based on feedback from the FDA, we are planning to conduct a new Phase III study to further evaluate the potential of efzofitimod in pulmonary sarcoidosis. We plan to submit a protocol for the study next month. While EFZO-FIT missed its primary endpoint of steroid reduction, we saw durable benefit for efzofitimod on multiple clinically meaningful prespecified quality of life measures, including the King's Sarcoidosis Questionnaire or KSQ-Lung score, the KSQ General Health Score and the fatigue assessment score, among others.
Therefore, we saw guidance from the FDA regarding the best way to proceed with the program as there remains an urgent need for a safe and effective treatment option for this underserved population. Heading into the meeting, we engaged an expert team of regulatory consultants, including a former FDA Division Director, the preeminent biostatistician with extensive FDA advisory experience, leading pulmonologists and patient-reported outcome specialists. And this team advised us on our strategy and helped us craft the package for the FDA, ultimately producing the best and most appropriate path forward for efzofitimod.
The Type C meeting focused on several key topics, first being endpoints, including forced vital capacity or FVC and the KSQ-Lung. Clinical rationale supporting FVC as an endpoint in the target patient population for a new study. A proposed update to our dosing regimen. A discussion focusing on continued safety monitoring in light of the proposed update to the dosing, and the overall benefit/risk profile for efzofitimod.
Regarding endpoints, the FDA indicated that FVC and KSQ-Lung are clinically meaningful endpoints in pulmonary sarcoidosis. And we will focus on these 2 endpoints in our next study to assess function and feel in pulmonary sarcoidosis. The FDA indicated FVC to be a direct measure of function, and we note that prior studies have used FVC as an endpoint in this indication and other approved ILD therapies. The FDA also indicated KSQ-Lung to be a direct measure of how patients feel as it is the main patient-reported outcome that is used to assess quality of life in sarcoidosis.
While the KSQ-Lung has been validated academically, we've been working closely with the FDA division of clinical outcome assessment to validate it for regulatory purposes in a clinical trial setting. We've done this work using our data from EFZO-FIT and a third-party content validity study as support. The FDA acknowledged our efforts and suggested additional recommendations, including the inclusion of some specific separate symptom measures, notably cough severity and wheezing based on further content validation. Therefore, our conclusion is that currently, FVC is the more appropriate primary endpoint for the next study.
When we think about using FVC as a primary endpoint, we must take into consideration that FVC is highly variable in the broad sarcoidosis population due to the heterogeneous lung phenotypes that patients present with. So we have to focus on the relevant phenotype when studying FVC as an endpoint. This approach provides us a way to generate a more homogeneous population to study. The main lung phenotypes for sarcoidosis are described by the type of lung impairment that occurs, whether it's restrictive, obstructive or diffusion limited.
The phenotypes also indicate the appropriate pulmonary function test to assess the lung impairment and the relative relevant endpoint to evaluate. So when you look at FVC, it is the most relevant endpoint for patients with restrictive lung disease. These patients are typically defined in the literature as having an FVC percent predicted between 50 and 80, along with an FEV1/FVC ratio of greater than equal to 0.7.
And this restrictive phenotype is one of the more common forms of lung impairment in sarcoidosis patients. EFZO-FIT enrolled patients with all lung phenotypes, including 44 restrictive patients. When looking more closely at what happened with FVC in those patients, you'll understand our rationale for targeting this patient population in our next study. You may recall that in EFZO-FIT, FVC was largely maintained across treatment groups, which was in line with what we expected in a steroid reduction study. However, these findings were for all lung phenotypes.
Here, we group patients from EFZO-FIT by lung phenotype. These groups include those with restrictive disease, defined as I mentioned earlier, and those with nonrestrictive disease, meaning all other phenotypes. First, you see that the nonrestrictive patients started at a much higher baseline FVC compared to restrictive. And then when you look at the FVC difference, you see a clinically meaningful difference of 124 milliliters emerge in the change from baseline in FVC between restricted patients treated with 5 milligrams per kilogram of EFZO-FIT versus placebo.
This demonstrates that patients with impaired lung function clearly benefited from efzofitimod despite being aggressively tapered from steroids. Our EFZO-FIT data in this functionally impaired population provides the strong clinical rationale needed to prioritize FVC as the primary endpoint in the next study. We believe we've identified the specific patient population that responds robustly to efzofitimod, allowing us to model our next study with precision and confidence.
Let's go over the remaining key outcomes from the Type C meeting. We're also optimizing our dosing to enhance efficacy. In EFZO-FIT, we saw no evidence of any clinically meaningful toxicity in the patients. And our modeling shows that moving to a 3-week dosing interval will not only increase drug exposure, but also provides a wide safety margin, providing patients with the best possible therapeutic benefit.
In light of this new proposed dosing regimen, the FDA suggested incorporating some additional risk mitigation strategies in the protocol. One such item was continuing to include safety surveillance for the potential development of anti-synthetase syndrome. Efzofitimod is derived from a splice variant of tRNA synthetase HARS and patients can develop antibodies to the full-length fragment.
This is something we've always monitored in our studies, and we did not see any development of anti-synthetase syndrome in EFZO-FIT. We'll be closely monitoring and prospectively monitoring for anti-synthetase syndrome in the next study, along with having a data monitoring committee in place similar to the EFZO-FIT study. We believe the benefit risk profile for efzofitimod is strong and with an optimized dosing regimen combined with a target population prime for response, we're moving forward with an excellent development plan.
Now let's talk about what the next study would look like. Our go-forward plan is to build on 3 pillars of strength: switching the endpoint to FVC, focusing on the responsive restrictive patient population and optimizing to a 3-week dosing interval. This design, in our view, is engineered for success. The trial itself is expected to be a global randomized, double-blind, placebo-controlled 1-year study. It will consist of 2 parallel cohorts randomized equally to either 5 milligrams of kilogram per efzofitimod or placebo dosed IV once every 3 weeks for a total of 17 doses.
We intend to roll up to approximately 372 patients, and these will be patients with moderate to severe progressive sarcoidosis with restrictive lung disease who are receiving a stable dose of daily oral corticosteroids of 5 milligrams or less and/or a stable dose of background immunosuppressant. All background treatment will remain stable throughout the study. The primary endpoint will be change from baseline in FVC at week 48, and the key secondary endpoint will be changed from baseline in the KSQ-Lung score also at week 48.
Some of the additional key inclusion and exclusion criteria include parameters to ensure these patients are symptomatic with restrictive lung disease, however, not fibrotic. So patients must have a documented history of pulmonary sarcoidosis for at least 6 months, a dyspnea scale score of greater than equal to 2, KSQ-Lung score of less than or equal to 60. FVC, as I mentioned, between 50% and 80%, while also having an FEV1 to FVC ratio of at least 0.7. And as I already mentioned, these patients will be on a stable dose of background treatment.
Restrictive patients have impaired lung function whose symptoms may not be adequately managed by steroids or other immunosuppressant, yet the extent of fibrosis isn't at the stage where they would need or benefit from antifibrotics. Therefore, some of the key exclusion criteria include HRCT fibrosis score of greater than 20% and treatment within 4 months with biologic immunomodulators or antifibrotics, among others. We believe by implementing the criteria around the restrictive lung phenotype, we've created a homogeneous patient population to study, looking specifically at that FVC primary endpoint.
Let's take a minute to look at the market opportunity for the patient population that we're now targeting in this new study. A recent claims analysis suggests there are nearly 160,000 confirmed diagnosed patients with pulmonary sarcoidosis in the U.S. Approximately 90,000 patients have moderate to severe disease characterized by impaired lung function. The current epidemiology for lung phenotype suggests that there are around 38,000 patients with restrictive disease without advanced fibrosis.
If you also consider approximately 24,000 patients with mixed disease, this is diffusion -- mixed diffusion limited disease without advanced fibrosis. This is a group that we believe also can benefit from efzofitimod. We're looking at an initial target population anywhere between 38,000 to 62,000 patients in the U.S. alone. These patients may still be impaired despite the use of first-line treatments. We believe this target population represents a multibillion-dollar opportunity for efzofitimod in pulmonary sarcoidosis.
Finally, we'll discuss our next steps and operational readiness for the study. We're ready to execute. With the protocol expected to be filed next month, we anticipate a rapid start to enrollment by leveraging our existing global network of over 85 centers. We have long-term drug supply on hand and are moving forward in a capital-efficient manner to bring this potential life-changing therapy to patients. We're currently exploring various avenues to finance this Phase III effort.
Most importantly, we're still the most advanced therapy in the development for this disease. We believe we have an active drug that can significantly improve the lives of pulmonary sarcoidosis patients where they had no new treatments in more than 70 years. And with strong support from the community, including pulmonologists, patients, their caregivers, advocacy organizations, around the world, we're ready and ready to move this therapy forward.
So thank you for your interest. At this time, along with Jill, we're available to take any of your questions.
[Operator Instructions] And our first question today comes from the line of Derek Archila from Wells Fargo.
2. Question Answer
Just a couple from us, Sanjay. So I guess, first, like how long do you anticipate enrollment given the more narrowed focus to restricted patients? That's our first question.
So we enrolled the last trial, if you remember, Derek, it took about 20, 21 months to enroll that trial. We are going after a larger end here to ensure that we've got the statistical power in the next trial to firmly hit on this endpoint. And it is a smaller restricted population. But we believe we can enroll this trial in about 2 years. We haven't guided specifically. That's the ballpark we're thinking about right now. We're looking to firm up those time lines with our CRO partners.
Remember, 5 years ago, the world didn't have a lot of experience with efzofitimod. Many of these centers that we're going to, we're going to be able to turn the key faster with regards to site activation and getting all that -- all the contract work, we could probably cut 3 to 6 months in that regard. And I also think there's more interest in efzofitimod than ever before in the sarc community because it's the first and only therapy that's ever improved quality of life and has done so with regard to cough, shortness of breath, fatigue, muscle ache, all the things they've ever wanted out of a therapy.
So with the interest, with the fact that we already executed successfully a Phase III trial with some of the time lines that will shave off by starting fast with these centers, we think that the target early is to try to get this trial enrolled around 2 years. But as we fine-tune some of those numbers, we'll come back to update everyone.
Understood. And then just a follow-up here. So I guess you kind of changed the dosing schedule and you talked about kind of exposure. Was there patients that were not getting enough drug in EFZO-FIT and that's kind of why you're like what data did you see to get more confident or at least to make the move to Q3W dosing versus the monthly?
So looking a little bit more specifically at some of the clinical pharmacology and EFZO-FIT obviously provided us a lot more PK and clinpharm data that we could more robustly model off of. And it was the discussion within the team from a clinpharm perspective that, look, we might be able to enhance some of the exposure here, in particular, to look at C trough levels.
So by going to Q3, we're going to get more exposure on board, while at the same time, not really pumping up [ Cmax ] here, which would run into some of the nice safety margin that we've already established. So it's an effective strategy for us to get more drug on board. We already like the effects we've seen with FVC in the restrictive phenotype. It's just a function of looking at some of the modeling. And then we had a really nice discussion with the FDA with their clinpharm group. And we think this is a nice win for us to get more firepower out of the drug and patients getting more benefit without conversely having safety risk in our opinion.
Understood. And last one from us. Just an update on efzo's SSc-ILD trial that's ongoing and when we could get updated data there?
Yes. So we previously have guided that we're looking to finish enrollment in the first half of this year. We're still on track for that. And then that is a trial that would read out approximately, I'd say, 7 months after we get that last patient. So stay tuned for us to finish up enrollment there, and then we'd be looking to get that SSc data out, as I said, probably about 7 months after that last patient enters the trial.
Your next question today comes from the line of Yasmeen Rahimi from Piper Sandler.
Thanks team for all the updates and getting the study design all figured out and coming back. Just a couple of questions. One is, do you need to show a statistical separation in the KSQ score given it's a key secondary as well? Or is the study deemed fileable based on FVC? That's question number one.
And then question number two is how large is this restrictive population versus the broad population that you had in EFZO-FIT? Like what is the market opportunity and market size? And do they represent phenotypically different that you could talk about?
And then maybe the third question is just thinking about the cash and how to fund the Phase III and what the capital needs would be?
Sure. So I'll break those questions up. Going back to the first point around the relative size of the trial, we were aiming for the primary endpoint to size it to make sure that we're powered to hit stat sig on FVC. So it's -- KSQ is going to be a key secondary here, but the trial is really powered and sized for improvement in FVC.
Now as it turns out, we're relatively in the same ballpark with 372 patients to also be more than adequately powered for FVC as well. But I want to highlight here, it's not a co-primary. It's a clear secondary here that would be part of the hierarchy. The goal here is to hit on FVC. And we feel like based on what we've seen with other approved therapies, that's going to be very much down the fairway when you think about approving therapies for interstitial lung disease.
Your next question was really around market size. So comparatively speaking, the restrictive phenotype represents a smaller subset of the broader, say, steroid-dependent population. Now EFZO-FIT is doing, I think, some -- it's really causing a bit of a shock wave throughout the sarc world in the sense that we proved that had never been proven before that you can treat these patients on significantly less steroids.
So what you're seeing now is, I think, a larger group of patients in the frontline get steroids and methotrexate. That being said, therapies don't really touch or help these restrictive patients. So now looking at the restricted patients, you might be aiming to, as I said, at a minimum, somewhere around that 35,000 to 40,000 range. We may have some upside here if you look at patients who have mixed disease. But these are patients with, I would say, a greater unmet need. These are patients that are morbidly sick. Steroids and methotrexate don't do anything for them. So these are sicker patients who, as you can see, responded quite well to efzofitimod. Based on preliminary pricing work, we know that some of our pricing estimates now need to be revised upwards because we're talking about a sicker population.
So again, I feel very confident that this is, again, a multibillion-dollar opportunity. Now you're looking just at a tighter population, but a population that you probably get more penetration because these patients have more of a desire, more of a need to get a second-line agent with the potential efficacy profile of efzofitimod.
Your last point, as I said, we're evaluating right now how we think about funding this next opportunity. We want to be capital efficient here. So right now, that's TBD as we start to work through what's the best pathway to, as I said, build upon this successful and positive FDA meeting.
Your next question today comes from the line of Joe Pantginis from H.C. Wainwright.
Glad you had some productive feedback. A couple of questions, if you don't mind, Sanjay. So with regard to the regulatory path going forward to potential filing, this is a single Phase III. Any conversations whether EFZO-FIT could be part of a filing? Or do you think you would need an additional Phase III?
Well, I mean, in my mind, Joe, good question there. I mean, I can't necessarily get into the specific heads of the FDA. Maybe you can better than I can. But I think we've run a Phase III and garnered some real outstanding data with regards to quality of life. This one would, of course, be much more focused on function. So in my mind, those are 2 Phase IIIs with a lot of also safety data.
This is why that benefit risk discussion is important. So in our mind, we view this as a registrational trial. But again, that will be something that upon readout, let's see what -- where the FDA's head is at. You've seen obviously a lot of things publicly around a single and well adequately controlled trial. That's what we're aiming for here. Much of the leadership there is shifting. And I think all of the groups there are I would say, learning what the sort of new remit is for the FDA. But the way we consider this trial is we have a signal here, a large signal in this restricted population.
Most of our KOLs firmly look at that and say, that's quite impressive. That would be something that clearly, they would then, look to use a therapy if we were to hit on that in the next study. And that's how we're approaching this in this one single study.
Got it. And then about the study itself, maybe endpoint-wise and inclusion criteria wise. So inclusion criteria, can you discuss maybe the background of -- or variability -- the variability of background therapies on these patients? Number one.
And then number two, can you give some early thoughts on benchmarking the improvement you would want to see in FVC?
Sure. So much less variability now that we're going into a more homogeneous population. FVC, if you remember in our last trial, we enrolled many of the patients on with normal FVC. So it's a really wide range of FVC or for that matter, even FEV1. We're taking all comers.
Moving now into a restrictive phenotype, you're going to have a tighter standard deviation with FVC. It's going to reduce statistical noise in the next trial. And with the signal that we've seen greater than 120-milliliter difference, approved therapies for ILD, typically, you need -- if you look recently, 50, 60 milliliters is what's getting approved. So we would, of course, maybe not need to aim as high as 120 and also not as low as 60. This is what we're fine-tuning right now with our power assumptions.
But again, with less variability -- and with a rather large signal, we could perhaps go somewhere in the middle and have a very well-powered trial with an [ NM372 ]. The idea here is to hit stat sig. What I'd like to be powering for is to hit stat sig with multiple zeros after the decimal point so that there's really no question with regards to the utility of efzofitimod. That's the goal, and I'll fine-tune some of those sample size assumptions really here in the coming weeks.
Your next question today comes from the line of Brian Abrahams from RBC Capital Markets.
This is Nevin on for Brian. I was just curious if you could break down the subgroup analysis a little bit more. So wondering what the split of those who were on the 5 mg dose versus placebo was in the restrictive cohort? And then I was also wondering if maybe the KSQ questionnaire was...
Environment. This is where FVC to see -- you could see improvement. So the fact that more or less we were flat in the last trial in this restrictive population is really surprising and also very promising to really look at that large difference closely.
And just a quick follow-up for the planned Phase III, is there any plan to look at an interim to enable kind of an earlier look?
Not at this time. We want to make sure that we really power this well and not really -- I mean, a futility here probably is not appropriate. But really, at this time, I think any kind of interim futility analysis is not currently planned.
And your next question comes from the line of Boris Peaker from JonesTrading.
I don't know if I may have missed it because I lost sound here for a few seconds. But what specific signal -- FVC signal assumption are you making for the pivotal study? I know you showed 124 ml in the subgroup of patients with restrictive disease, but now you're also going to be going to slightly higher dosing than before. So I'm just curious, you're assuming that the FVC is going to remain at about 120 ml. You think it might go a little bit higher? Or are you assuming a little bit lower for a margin of safety? How are you thinking about that?
Yes, I would likely set the bar slightly lower. I think we can actually improve on that in the sense that we are going to be able to get more exposure from the drug, but I'd rather be conservative in some of our statistical assumptions.
So I would anticipate that we wouldn't aim so high to be at 120. Remember, drugs have been approved more or less in that 50, 60 milliliter delta. I also want to make sure that this is viewed as statistically important. So I think I would anticipate it might end up being somewhere in the, say, 80-milliliter range. That's to be finalized here with our statistical assumptions. And that would be a large signal, clinically meaningful signal. So we want to be clinically meaningful, but we also want to make sure that we give ourselves some statistical padding so that we can hit the p-value in the next trial.
Great. And just one more question. I mean the trial includes enhanced monitoring for anti-synthetase syndrome. I'm just curious, was this a specific FDA mandate or proactive move by you guys? Or how did that come up?
Yes. So this has always been part of our program because our efzofitimod is built on a fragment of histidyl tRNA synthetase. So there's always been a potential theoretical risk of developing anti-synthetase syndrome, but we have not seen any production of antibodies going back to our animal work, but even in any of our early phase trials or this trial.
So this is something that from a theoretical risk standpoint, we will have to monitor. We agreed with the FDA that we'll continue to monitor it. We did not see any Jo-1 antibody production in the last trial. So this is just simply a continuation of the safety surveillance that we'll conduct in the next trial.
Your next question comes from the line of Dev Prasad from Lucid Capital Markets.
Congrats on the update. I have a couple of questions. One is, how do you expect the placebo patient to perform on FVC in this more restrictive population when you look at the data in EFZO-FIT?
And second is, given you will be increasing the dosage to Q3W and that might result in higher cumulative drug exposure, did FDA request any specific safety monitoring?
Yes. So to your second point, Dev, some of the specifics were just really, of course, a little bit more around the anti-synthetase syndrome that I mentioned. So we may -- obviously, with Q3, we may get a little bit more frequent with some of those assays that we have for Jo-1. This is outlined and to be expected with what I said before.
What was your -- your first question was about -- remind me again.
Sorry. So my first question was, how do you expect placebo...
Yes. So in the context of a steroid reduction trial, we expected to see 2% to 5% decline, and that's exactly what happened with the placebo population. In the next trial where steroids are kept stable with the immunosuppressants, we might expect the placebo to behave flat to slightly decreased. If you look at historically the infliximab trial or some of the golimumab trials that were run previously where steroids were fixed, they saw flat to slightly decreased placebo.
So that's going to be part of our modeling. We have much better natural history to model off of with the placebo population. And coupled with what we saw in EFZO-FIT, this is how we want to organize the next trial to hit that say on FVC.
Your next question today comes from the line of Liang Cheng from Jefferies.
This is Liang Cheng on for Roger Song. I have 2 questions. One is -- so now you've limited the population to the restricted disease. How does that -- how would you expect that to your enrollment pace? And second is during your discussion with FDA, does the FDA mention anything about FVC as clinical significance?
Yes. FVC is clearly seen as the most significant functional measure, in particular, that's why we needed to have a rationale for the restricted population. Now a restricted population with regards to enrollment, in my mind, is going to be, in many ways, more motivated to participate in the trial. These patients, as I said, are trembling down with their lung impairment and steroids and methotrexate aren't cutting it.
The #1 reason for screen failure in the last trial was actually the steroid dose criteria. So we will not have that in this next trial. We know the whole population around the world following the EFZO-FIT data is now tapering patients off steroids as we speak. One of the experts said to me as soon as she left Amsterdam in our presentation, she went back to her clinic in the U.S. and started to cut everyone's steroid in half the next day. So what we know in the next trial is not having a steroid threshold criteria of 7.5 to 25. This is going to make it easier for us to enroll Restricted patients also, in my view and the experts view, motivated to participate because they have really morbid disease.
These are sick patients and efzofitimod, of course, showed the ability to help these sick patients and also feel much better. These patients are unfortunately resigned to getting a lot of off-label therapy, infliximab, leflunomide, azathioprine, all of those drugs also come with toxicity. So we believe that there's a large opportunity here to address an unmet motivated population that frankly needs a much, much better second-line agent.
We will now take our final question for today. And the final question comes from the line of Julian Harrison from BTIG.
Thank you for providing this comprehensive update. First, I'm wondering if you could talk about how the addressable market for efzofitimod could potentially be expanded to mixed phenotype patients along with the fusion-limited patients? Would that likely involve an additional trial? And then sorry if I missed it, I was also wondering if you plan to pursue a special protocol assessment with the FDA for your upcoming trial in restricted patients. Could that be useful in some respects or likely not worthwhile?
Yes. So I think a [ SPA ] is, Julian, typically used in more, I would say, classic regulatory scenarios where you may have more validated endpoints. I mean, in many ways, we were trying to treat this Type C meeting to also get a lot of feedback on a potential next protocol. So we did get an assessment, if you will, on what a protocol would look like.
And that's why we're coming out with this update beyond just saying the program is a green light to move forward, here's how it would move forward exactly. So I think that's generally the way we think about -- we approach this Type C meeting.
Did I answer both of your -- I'm sorry. I'm tailing off here at the end with the questions.
Yes, no worries at all. My first question was with respect to the upside opportunity...
With the upside. Yes. I mean -- so we have key opinion leaders now that would like us to potentially expand the protocol into those groups. The issue you get there is you create more variability, and I really want to make sure the drug is successful in a tight population.
Now to that point, would you be restricted from a label point of view? Our regulatory experts do not think so. These are natural groups that we feel as though efzofitimod, and we have data that we could support moving into these other adjacencies, if you will, to restrictive patients. But I think the important thing here is for the next trial to really hit on the primary endpoint with FVC, I want to keep the population as tight as possible.
You potentially look at after approval scenarios where in Phase IV, you look, for example, in these sorts of populations. But for me, right now, I want to be able to focus in on a less variable, more homogeneous population. That's the restricted population. I think theoretically, there's going to be a lot of use and utility in some of those other groups. I don't, at this point, see the potential to be restricted from a label perspective. But if we were, that would be something that you'd move into those phenotypes. Very rarely do you see these ILDs slice and dice when it comes to phenotypes. If you look at the, for example, the IPF and the ILD drugs that have been approved, they only went after more or less restricted patients, but they have broad labels. So we're following that playbook.
This concludes the question-and-answer session. I will now hand the call to Sanjay for closing remarks.
Great. Thanks, everybody. Lots of great questions, interest out there. We're excited with this productive meeting and also some of the outputs that have come out of it and being able to really hone in on the next step protocol. So I appreciate everyone's interest. We will be in touch. Thank you again. Thank you, everyone.
Thank you. This concludes today's conference call. Thank you for participating. You may now disconnect.
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aTyr Pharma, Inc. — Special Call - aTyr Pharma, Inc.
aTyr Pharma, Inc. — Special Call - aTyr Pharma, Inc.
1. Management Discussion
Good morning, ladies and gentlemen, and welcome to aTyr Pharma conference call to review the top line results for the Phase III EFZO-FIT study of efzofitimod in pulmonary sarcoidosis. [Operator Instructions] As a reminder, this conference is being recorded for replay purposes.
It is now my pleasure to hand the conference call over to Ashlee Dunston, aTyr's Senior Director of Investor Relations and Public Affairs. Ms. Dunston, you may begin.
Thank you, and good morning, everyone. Thank you for joining us today to discuss the top line results from our Phase III EFZO-FIT study of efzofitimod in pulmonary sarcoidosis.
Before we begin, I would like to remind everyone that except for statements of historical facts, the statements made by management and aTyr [indiscernible] are in response to questions on this conference call are forward-looking statements under the safe harbor provision of the Private Securities Litigation Reform Act of 1995.
These statements involve risks and uncertainties that can cause actual results to differ materially from those in such forward-looking statements. Please see the forward-looking statement disclaimer in the company's press release issued this morning as well as the risk factors in the company's SEC filings and included in our most recent annual report on Form 10-K and quarterly reports on Form 10-Q.
Undue reliance should not be placed on forward-looking statements, which speak as only of the date they are made, as facts and circumstances underlying these forward-looking statements may change. Except as required by law, aTyr Pharma disclaims any obligation to update these forward-looking statements to reflect future information, events or circumstances.
We are joined today by Dr. Sanjay Shukla, our President and CEO; Jill Broadfoot, our CFO; and Dr. Robert Bachman, Emeritus Professor of Medicine at the University of Cincinnati. On the call, Sanjay will provide an overview of the results of the study. Dr. Bachman will provide some additional commentary around the results before we open up the call for any questions, which can be addressed by Sanjay, Jill or Dr. Bachman.
I will now turn the call over to Sanjay.
Thank you, Ashlee. Good morning, everyone, and thank you for joining us for our conference call. We're here today to discuss the top line results from our Phase III EFZO-FIT study of our lead therapeutic candidate, efzofitimod, in patients with pulmonary sarcoidosis, a major form of interstitial lung disease.
Earlier this morning, we issued a press release summarizing the top line results for this trial. We reported that treatment with 5 milligrams per kilogram of efzofitimod positively impacts quality of life and maintains lung function while reducing or withdrawing steroids.
The study, however, did not meet the primary endpoint of change from baseline in mean daily oral corticosteroid or OCS dose at week 48. Some additional key findings include 52.6% of patients treated with 5 milligrams per kilogram of efzofitimod, achieved complete steroid withdrawal at week 48 versus 40.2% on placebo.
A clinical improvement in the King's Sarcoidosis Questionnaire or KSQ lung score changed from baseline at week 48 was observed for 5 milligrams per kilogram of efzofitimod compared to placebo. And a greater proportion of patients achieved both complete steroid withdrawal at week 48, with KSQ lung score improvement in the 5 milligram per kilogram efzofitimod arm compared to placebo.
The lung function as measured by Forced Vital Capacity or FVC at week 48 was maintained. And finally, efzofitimod was well tolerated at both the 3 and 5 milligram per kilogram doses with a safety profile consistent with that what we've observed in all trials conducted to date. This study demonstrates that patients with chronic symptomatic sarcoidosis can be managed with substantially lower steroid doses than previously thought without the fear of worsening disease.
In spite of a higher-than-anticipated placebo response, we found that treatment with efzofitimod was associated with a greater amount of steroid reduction, including steroid withdrawal, a clinical improvement and the quality of life for these patients and the maintenance of lung function. This is the first Phase III trial and largest ever interventional study conducted in pulmonary sarcoidosis and the data generated from this study is likely to inform treatment practices for all sarcoidosis patients moving forward.
Based on these consistent findings, which we believe indicate drug activity for efzofitimod across multiple clinically relevant efficacy endpoints, we plan to engage with the FDA to determine the path forward for efzofitimod in pulmonary sarcoidosis.
As a reminder, EFZO-FIT was a global Phase III 52-week randomized, double-blind, placebo-controlled, multicenter study in 268 patients with pulmonary sarcoidosis. It consisted of 3 parallel cohorts, randomized equally to either 3 or 5 milligrams per kilogram of efzofitimod or placebo, dosed intravenously once a month for a total of 12 doses. The primary endpoint of the study was steroid reduction at week 48. Additionally, clinical and efficacy assessments included the KSQ lung score or FVC, complete steroid withdrawal all at week 48.
In terms of the trial design, the study included a protocol guided steroid taper in the first 12 weeks of the study, followed by continued taper or rescue until week 48. Steroid taper and titration were guided by the Patient Global Assessment, or PGA, which was administered every 2 weeks. If there was any clinical worsening the principal investigator of PI was required, to rescue based on this PGA. And if there was improvement, the PI was required to taper.
Before we present the results, it's important to note that key demographic and baseline characteristics were generally balanced across all treatment groups for demographics, including age, sex, weight race and for disease characteristics including FVC, duration of disease and dyspnea. We'll start with the primary endpoint of steroid reduction.
When we looked at baseline steroid use, treatment groups were mostly balanced with a mean daily steroid dose of 10.51 to about 10.7 across treatment groups. The primary endpoint was calculated as the change from baseline in mean daily steroid dose at week 48. With the week 48 point calculated as an average between weeks 44 to 48.
For 5 milligram per kilogram of efzofitimod, we saw patients reduce from a baseline of 10.7 milligrams of steroids down to 2.79 milligrams for 3 milligrams per kilogram of efzofitimod, there was a reduction from a baseline of about 10.5 down to 3.5. And placebo reduced from a baseline of 10.7 down to about 3.5%.
If you look at the amount of steroids reduced from baseline as an overall percentage, patients were able to reduce their steroid dose at the end of the study by 73.6% for 5 milligrams per kilogram of efzofitimod compared to approximately 68% for 3 milligrams per kilogram of efzo and finally, 63% for placebo.
In our modeling, we assumed that patients on efzofitimod would taper from baseline to an average daily prednisone dose between 1 to 4 milligrams, with placebo expected to taper to between 4 to 7. So the drug performed accordingly to what we projected. However, we did not achieve statistical significance as the placebo tapering outperformed even our most aggressive modeling. Another important assessment of steroid reduction in the study was patients that achieved complete steroid withdrawal at week 48.
We saw 52.6% of patients in the 5 milligram per kilogram efzofitimod treatment group, tapered to 0 milligrams of steroids at week 48 and 51% of patients in the 3-milligram per kilogram efzo arm also ended the study steroid free. We believe that this is very good performance by the drug.
However, we did not anticipate the 40.2% of patients on placebo, but also in the study steroid-free. We modeled for 30% of placebo patients to taper to 0 which was well above the 10% that most experts that they would expect to see in this 12-month study, while forcing patients down to 0 milligrams on their prednisone.
So 40% of the placebo patients tapering off steroids majorly impacted both the ability to hit stat sig on the primary end point of steroid reduction change from baseline and also the steroid-free response. We believe the high placebo response was driven by several factors, but most notably the implementation of our rigorous protocol we're administering the Patient Global Assessment every 2 weeks to guide steroid titration. While this has now been proven highly effective at managing steroid doses in sarcoidosis patients.
Now let's turn to findings to the KSQ lung score, which is the main patient-reported outcome or PRO we used in the study as it is viewed as the most sensitive quality of life assessment for sarcoidosis patients. The KSQ lung measures disease-related symptoms such as cough and shortness of breath, this score is a leading indicator as to how patients felt while undergoing treatment.
Patients completed these symptom assessments at baseline monthly during the study and at the end of the study at week 48. We're very pleased with the findings for the PRO in this study. And there are a few ways that we looked at the KSQ lung score, which were all prespecified.
First, we compared the change from baseline at week 48 across treatment groups. Patients on 5 milligrams per kilogram efzofitimod had a clinical improvement of 10.36 points and those on the 3 milligram efzofitimod had an improvement of 7.33 points, compared to placebo, which improved by 6.19 points.
Next, as a KSQ lung as a disease-specific measure of pulmonary sarcoidosis symptoms, we wanted to evaluate if complete with steroid withdrawal i.e., removing all prednisone would impact the KSQ lungs score. So we use a responder analysis to assess patients that were steroid-free at week 48 and improved 8 points or more on the KSQ lung.
So I'll point out here that while the KSQ lung has been validated academically, it's currently undergoing validation for regulatory purposes. And preliminarily, we've established during this validation that the threshold for meaningful clinical change in the KSQ lung score is 8 points. And this is consistent with the consensus among sarcoidosis experts that an 8-point improvement in the KSQ lung is a very meaningful change.
So in this responder analysis, we saw that a greater proportion of patients were both steroid-free and achieved KSQ lung score of 8 or greater, which is improvement with 29.5% in the 5-milligram per kilogram of efzo arm compared to 14.4% in placebo patients. This means that you have about 2.5x better odds of being steroid-free and have improved quality of life if you take 5 milligrams per kilogram of efzofitimod.
I'll note that we also saw an improved result in the analysis -- responder analysis for the 3-milligram per kilogram efzofitimod treatment group with nearly 28% of patients responding. These improvements in steroid withdrawal and KSQ lung over placebo observed in both doses of efzofitimod, give us confidence that the drug is providing meaningful benefit to patients.
We believe these are very important findings as steroids are known to have side effects that can greatly impact patient's quality of life as much or even more so than the disease itself, and quality of life compared to current treatment options is of high priority to patients with sarcoidosis. So this combination we are observing with efzofitimod is a very important and outstanding finding from this study.
Now let's take a look at FVC, which is one of the main lung function assessments used in the study. FVC is highly variable in sarcoidosis. And there's limited natural history data to provide a predictable rate of decline. We were looking to assess the change from baseline to week 48 for the absolute percent predicted FVC. And for context, remember, steroids are used in these patients to help control inflammation and stabilize lung function. By decreasing steroid use, it's expected that FVC would potentially decline. And by rescuing patients with steroids, it's expected that FVC would actually improve.
FVC percent predicted was largely maintained across all treatment groups with a decrease of 1.8% for the 5-milligram arm, 2.7% for the 3-milligram efzo arm and 2.1% for placebo. Though we see a slight decline.
We see it across all treatment groups, and this decrease is well within the normal range of variability. And these results for FVC are in line with what we expected considering the steroid taper and rescue protocol. And the stability of lung function while removing steroids in this patient population is a notable finding.
Finally, let's review the safety findings, which are a key part of efzofitimod's value proposition, considering that current treatment options for pulmonary sarcoidosis typically have serious side effects and toxicity. Overall, monthly dosing of efzofitimod was determined to be well tolerated at both the 3 and 5-milligram per kilogram doses. And the safety profile was consistent with all trials conducted to date.
Adverse events or AEs were mostly mild or moderate in severity, generally assessed as unrelated to the study drug. And serious adverse events or SAEs were very limited and balanced between treatment groups. The proportion of patients with treatment-related SAEs and events leading to discontinuation and the proportion of patients who develop antidrug antibodies was small and also balanced between treatment groups. These findings are consistent with previous studies and reinforce efzofitimod's favorable safety profile, making it a desirable option for patients.
Before I summarize the key findings from the study today, I wanted to take a minute to thank the patients, investigators, patient advocacy organizations, our partner, Kyorin Pharmaceutical, our team at aTyr, who all contributed to this landmark study. We're incredibly grateful for your participation and the data generated is a major contribution to sarcoidosis research and sarcoidosis care.
Although we didn't meet the primary endpoint of the study, we do see drug activity and clinical benefit for efzofitimod. This is evidenced by the benefit observed in substantial steroid reduction, meaningful clinical improvements for KSQ lung and preservation of lung function.
Additionally, this study reinforces efzofitimod's favorable safety and tolerability profile, suggesting that efzofitimod has the potential to be a safe and effective treatment option compared to current standard of care for patients. Particularly for those that require chronic therapy.
We believe the totality of this data warrants engagement with the FDA to determine the path forward for efzofitimod and pulmonary sarcoidosis as there are -- there are and remains an urgent need for a safe and effective treatment to address the unmet needs of this underserved patient population. We plan to review the full results of the study to obtain additional insights, and we're scheduled to present at the upcoming European Respiratory Society Congress in Amsterdam at the end of the month.
I'd now like to turn the call over to Dr. Robert Bachman, Emeritus Professor of Medicine at the University of Cincinnati and Chair of the trial steering committee for the EFZO-FIT study.
Dr. Bachman will provide some of his thoughts around the data and key takeaways for the study.
Thank you, Sanjay. I'm happy to provide some of my thoughts around the study results, and there are a few key takeaways from my perspective that I would like to highlight. First, I believe that efzofitimod has drug activity in sarcoidosis. The best evidence for that is the steroid reduction seen beyond the reduction seen with placebo, which comes to a significant benefits such as improvement in quality of life as measured by the KSQ lung.
I'm particularly enthusiastic about the improvement of the KSQ lung in patients that received efzofitimod and we're able to get completely off of steroids. Quality of life is so important to sarcoidosis patients and steroids typically have a negative impact on quality of life. I know my patients would be thrilled to take a drug to get them off of prednisone and make them feel better.
Second, I'm quite surprised by the high placebo response with regards to steroid withdrawal. I have treated over 2,500 sarcoidosis patients in my time and been involved with many of its past sarcoidosis trials. I would have expected less than 10% of placebo patients would have been able to become steroid free. I would have also expected more relapses when the steroids were withdrawn.
Because this was not seen, it confirms that we have become increasingly aware of, patients that we treat have been receiving excess prednisone. However, the amount of excess observed in this trial is historically notable. I think it reflects the rigor of the trial and a shift in clinical practice.
I also view the high placebo response is likely a function of the study design and the protocol, which, in my opinion, was excellent. Like many clinical trials, it was more rigorous in clinical practice as we typically do not assess the patients every 2 weeks as they did in this trial.
However, the ability to get more patients off of prednisone on using this rigorous protocol will be useful as we develop future clinical guidelines for the treatment of sarcoidosis. Third, I'll remind you that drug is safer than what is currently used. Most commonly used drugs for sarcoidosis are prednisone, methotrexate and REMICADE. All of these have significantly more toxicity than efzofitimod had in this study.
If available, this drug would be a very helpful treatment option in my clinical practice. So in many ways, considering the clinical benefit observed in this trial as well as robust safety profile compared to current standard of care. I think that there's a strong rationale to seek approval for efzofitimod. And finally, I would like to say how remarkable it is that aTyr was able to conduct and complete this large global randomized controlled trial that had a rigorous steroid withdrawal protocol.
This is something that we really haven't been done before in sarcoidosis to this extent. And so far, even just the top line results have given us significant new information that will advance the field. Overall, a great job on this study and look forward to seeing more of the data when it's available. Thank you.
Thank you, Dr. Bachman. Now at this time, myself, along with Dr. Bachman; and Jill, we're available to take your questions.
[Operator Instructions] Our first question comes from the line of Derek Archila with Wells Fargo.
2. Question Answer
First one just for Sanjay. I guess based on your conversations with the agency, I guess, how much flexibility do you think they're willing to extend here just in pulmonary sarcoidosis, not a lot of good treatment options. And can you just confirm for us that all the endpoints that you presented today are prespecified?
Yes, Derek, thanks for that question. And that last point is really important. These were prespecified. These are not post hoc. We haven't even started really the post-hoc look at the data. The fact that they are prespecified is really another level here why I think we're really prepared to engage the FDA.
The FDA has been great to work with thus far with this program. frequent interactions as we talk about our trial, talk about the design, look to validate King's Sarcoidosis, so we're encouraged by all those interactions. You point out that there is really no really good available therapies, no approved therapies in sarcoidosis. So I do think that they are going to be a collaborative partner, and we're looking forward to engaging them. These results on their own really merit a really good discussion with regards to what our next steps here for this program.
Great. And then just a follow-up. I guess any specific measures that you can call out within the KSQ lung kind of questionnaire that were really driving the improvements on the score?
Another thing that we're also looking more specifically in the KSQ lung is an amalgam of cough and shortness of breadth endpoints, teasing out exactly which of those six questions. For example, the drug was most sensitive on that is something that we will look at more closely. But the overall KSQ improvement, I think, is outstanding.
I also think that the responder analysis where we look at KSQ of greater than 8, better than we would expect to see that kind of response in the steroid-free patients. That's a much more rigorous, even higher bar composite, and we show the greatest amount of statistical difference in that analysis. So both really, really positive findings with regards To the PRO.
Great. And then last one for me, just in terms of getting a Type C meeting on the books with the FDA, is this something that you suspect you can complete and get minutes by before the end of this year or early '26. How are you thinking about the timing there?
We're going to move to engage the FDA as quickly as possible, but I also want to make sure that our briefing book we have a really good look at all of our data. The totality of the data, as I pointed out, gives us a high degree of conviction for efzofitimod.
But I want to make sure that we have the best bridging both possible I want to take some time, look at some things from a post-hoc perspective and then look to engage the FDA shortly after that.
Our next question comes from the line of Yasmeen Rahimi with Piper Sandler.
Yes, thank you so much for the presentation and obviously, the strong data with the fat part of the primary endpoint being missed due to high placebo. Thank you Sanjay, for clarifying that these were prespecified analyses and trying to kind of following up on Derek's question is as you're engaging with the agency, what are some of the important analyses that you hope to complete before you engage that you like to present to the FDA. So if you could just maybe talk about the work that's going to start imminently this post this top line data that you like to complete before you meet them.
And then the second question is for our KOL, I know you're not the FDA, but given this product profile and drug activity with quality of life improvements, what would you say -- why wouldn't this warrant the to say this is sufficient for a filing package?
And what would that probability be? I know this is your opinion, but given the depth of this data and the high unmet need, if you could just -- maybe help us understand what the probability of FDA allowing the company go forward and this could be an improved drug would be really helpful for us.
Yes, yes. I'll answer quickly the first part before turning it over to Dr. Bachman. We have a large and, I would say, a healthy number of prespecified tables here that are going to give us a really good ability to have good discussions with the FDA. Many times, sponsors, I think, come to the FDA with a lot of post hoc analyses. That's a lot softer in my opinion, and probably not the right way to go. We prespecified a number of these endpoints. So that's going to really help us.
There are some other things that we were finalizing here, other quality of life, fatigue assessment score, for example, things of that nature will help to present more of that at European Respiratory Society, also cracking open some of the biomarkers, that's going to take some time.
So those are the other types of assessments that we want to make sure we really have a good look at before we approach the FDA. Regarding your question directly to Dr. Bachman, and I'll turn it over to you, Bob, now to discuss your opinion on this drug and the FDA.
Yes. Thanks for the question. I think that nobody knows what the FDA is thinking about things in general. And certainly, this is a problematic area for the FDA. I've been with them for a couple of different drugs besides this one.
You've got to remember that the only drugs approved for sarcoidosis are 1950s, prednisone being the prominent one there. So at this point, we're moving away from in clinical practice and in clinical trial design for horsepower capacity because, frankly, there isn't that much difference even with the best of drug in totally treatment-naive patients, which is not what we see in clinical practice.
So we're looking at quality of life and how to best measure it and getting rid of the prednisone in patients who are on it. So the clinical trials that are out there that have been recently completed, they are ongoing, are all designed to look at getting people off of prednisone and to improving like this study or at least keeping the quality of life stable. We have just generated a couple of different consensus statements among sarcoidosis leaders.
And we're hoping that, that's going to convince the FDA that a drug like this or other drugs that are able to show you can get people off prednisone and keep their own quality of life better, should be approved but that's still the FDA's call.
And if I may ask one question from Jill. Jill, if you could just maybe remind us what the cash runway is and now with the sort of timing of engaging with the FDA, getting the minutes back would be helpful.
Yes. Thank you, Yas. The last time we provided a corporate update, we had a total of $113 million in cash. So I feel confident that we're sitting in a very good position, but we will be updating that when we report -- updating our guidance, I should say, when we report our Q3 corporate update.
Our next question comes from the line of Faisal Khurshid with Leerink Partners.
Maybe one for both Sanjay and for Dr. Bachman. Could you just speak to your hypothesis on how the placebo outperformed this way? Like were these not the right patients? And I guess like I thought these patients are like supposed to be steroid-dependent like how is 40% able to come off of prednisone?
Sure. Thanks, Faisal for the question. As I mentioned, our view is this is largely driven by that -- by the protocol, the rigor of the protocol, the ability to manage these patients to be able to effectively every 2 weeks, which is a bit of an artificial construct.
This has reaped tremendous dividends for all patients in this study. When we look at the relative disease characteristics, these patients are sick. They are steroid-dependent and at least in this 1-year trial, this is the data that we produced.
Again, it outperformed any of our models, even my most aggressive model. Prior to the trial starting, if I could have told you that efzofitimod knocks your steroids down more than 75%, 50% more than that are getting off steroids, and we're greatly improving your quality of life. That's exactly the patient profile, the TPP would want in a label. So we're digging in more into the reasons.
There could be some things we're looking at, at background immunosuppressants. I do not think this confounds the signal and changes anything. But there's a notion that background immunosuppressants may have helped the placebo population, but that's yet to be determined. I really want to dig into that a little bit more.
But as you pointed out, these are steroid-dependent patients that were enrolled in our trial. And we've shown a remarkable ability through the combination of our protocol and using efzo to get a significant number of patients off.
Bob, I'll turn it to you, you can talk a little bit more about that placebo response.
Yes. I think this is important to realize that there's a shift. I mean since 2000, there's been 9 clinical trials that have been published, that looked at steroid tapering and looking at how much they can get off. And when I did the -- with Janssen, the infliximab trial, or REMICADE trial in 2006, we had -- we didn't steroid taper in that trial, but we had a lot of people on prednisone and very few on immunosuppresses other than prednisone. And they were on a lot more prednisone.
So what's happened over the last 20 years as people have been going down on prednisone. Even though the investigators were reluctant to think that would happen, it did indeed happen, they were able to get off easily. And on top of that, they were now using more immunosuppressants like methotrexate. So in this study, more than half the patients were on methotrexate. So I think that, that's part of the reason why placebo patients did better.
I can't overemphasize the importance of asking the patients every 2 weeks how they're doing and tracking therapy. We simply didn't do that in our clinical practice, certainly, 10, 15 years ago, we would have patients come in every 3 months and only reduce the prednisone then. We start moving that up in the first 6 months to having them come in every 6 weeks.
Buy nobody was really making the decision over 2 weeks until we're just recently. And this trial, I think, is going to push people to start having things like phone apps and stuff like that, to ask patients, how are they doing and thinking about going down the dose over 2 weeks.
Got it. That's helpful. And then one follow-up on quality of life. Sanjay, can you talk to us about how you think investors should think about the quality of life outcomes on an absolute versus placebo adjusted basis?
And then for Dr. Bachman as well, I think you had published a paper actually said MCID for KSQ lung is 4 points. So I'm curious how you interpret the results. And then for Sanjay as well, do you have a responder analysis for percent of patients able to achieve that 4-point reduction for drug versus placebo.
Right. So let me just point out from the MCID you pointed out that's from some work from Dr. Bearing at King's College while academically validated, I think we are getting more sophisticated. And what we're learning is when you look at group changes, this is really wonky with the PRO, but about 2, 2.1 points looks like is what you'd want to see among group changes. But individual patient responder, it has to be much higher. And what we're learning is it should be closer to 8.
So when you think about the group changes that we observed in this trial, yes, we saw a more than 4 points as leaning in the old MCID among the groups. That's great. But it looks like the threshold between groups the MCID is probably going to suss out at about 2, 2.1. Bob can talk a little bit more about that, that's work that's ongoing.
The 8-point is what you want to see if it's true response. So the FDA likes to have a responder threshold. We've been working with them hand in hand. And this also matches what more or less the consensus of the world experts, the [ WASAU ] statement which I'm not sure is out yet, Bob. So think about it two ways that from a group perspective, the drug is really moving things in a significant fashion. And then from a responder threshold, which has to be higher, yes, no, we're also successful with that KSQ 8 threshold.
Bob, do you have additional comments?
Yes. I think it's important that you correctly point out the KSQ MCID was a paper that I gave with Dr. Bearing who developed the KSQ and 4 points was the minimal important difference. However in clinical practice, we don't use King's. But when we look at trial results, people realize that there's enough variability that 4 point was maybe a little too low.
And we just recently published the Delphi where we looked at 100 stakeholders, 30 experts and came up at 8 points and 12 points would be better cutoffs if we're going to really say this is truly an important effect rather than just seeing in the variability of the patients responding. So that's why I think in the [ WASU ] statement that's working its way through, we just presented the results of our -- of this task force that looked at as a recommendation is to look at 8 points not as 4 points. It's a minimal important difference in clinical care.
Got it. And Sanjay, just to clarify, you're saying the responder analysis was successful.
Using the cutoff of 8 and also the steroid free. Yes, that is, I think, one of our most strongest and outstanding findings. And that I think that's really what patients and providers want. They want to be able to get off steroids and they want to make sure that their quality of life is significantly improved. We've demonstrated that through this composite. And I think Dr. Bachman will probably also agree that, that finding is exactly what we'd want to see. Bob, I don't know...
I think that at the lower bar would be getting them off prednisone just keeping their quality of life stable. And as a bonus here, you're showing that people are actually improving the quality of life over 30%, almost 30% of the time or over 30%.
Our next question comes from the line of Joe Pantginis with H.C. Wainwright.
So two questions first. I don't want to harp on this, but regard to the placebo effect. So the every 2 weeks concept. So is that just talking to the variability of how patients feel? I know that's somewhat rhetorical. And do you feel that going forward that might be able to change patient guidelines and how you're looking at the frequency of steroid papers?
Yes, Joe. Certainly, this is a construct that's in the protocol. And look, we've proven that if you can assay these patients, if you can talk to them every 2 weeks and assess them you can do a much better job. Is that reflective of clinical practice and how things will move going forward. It will be tough or Dr. Bachman can answer some of that. But I do think that this is a smoldering disease by having frequent touch points like that, perhaps you can really have your finger on the pulse with prednisone.
We're also taking a snapshot of about a year. So certainly looking at things in a longer trial, you may see some of that smoldering light of fire. But again, that 40% was much higher than we had modeled for. If the modeling had hit even our prior 30% dose, 30% placebo response we'd be fine right now with regards to the primary.
I think moving forward with regard to treatment guidelines, I do think personally that this is the highest degree of evidence produced in a long time, and it's going to have to be incorporated in the treatment guidelines. So Dr. Bachman, you can answer more questions around what you think this data will do to treatment guidelines.
Yes, I've been actually treating patients with sarcoid for more than 40 years, and I developed a treatment guidelines from 1999, and it shared the recent ones that we published in 2023. And what happened is that we used to tell patients come back in 3 months and then we'll talk about changing your dose of prednisone because we used to think it was a relatively slow process when you went down on prednisone. This study and others have shown that we can make that decision faster.
And so things like the PULSE trial, which led this one came out before this one, it is clear that we can make the decision every 2 weeks, maybe even sooner than that, but I think 2 weeks is a reasonable amount of time. And I think -- so I think this is really going to drive the way we practice rather than necessarily trying to reflect with current -- what practice was 10 years ago.
I appreciate that. And then my next question, and obviously, Sanjay, this can change 100 times between now and your FDA meeting. But if you were in front of the FDA today, what would be your potential wish list of what you might want to accomplish with regard to next steps or study design and changes you would make?
Well, I mean, I think the first point of view is to take this data, which I think is the best data set produced in a long time for sarcoidosis with no therapies available. and have a discussion around how do we seek approval here, whether that's immediate or stepwise, that's what we have to determine. That's what we have to really strategize around.
But the fact is we have a lot of good data here gives us a lot of conviction around the drug. Yes, the primary did not hit. So we have to own up to that and address that. But what are the reasons behind that? And as Dr. Bachman has pointed out, this 2-week protocol assessment it is not right now part of clinical care and practice. It may need to be incorporated in that direction.
I'll remind everyone, too, that this is a drug that could be administered once a month through a 1-hour IV infusion thus far, tracking to really good safety and tolerability. I view it as a maintenance therapy that could fit really well into current standard of care. So all things that right now, we have to sit down with the agency and see what they think about the short-term ability here for us to get efzo over the finish line.
But it is going to require a really engaged conversation where we need to look at the totality of the data we produced and put it up against what's available out there right now in particular, from a safety perspective. Dr. Bachman can comment a little bit around his experiences with drugs like infliximab and from a safety perspective, how our drug stacks up.
Bob, I don't know if you want to say something there about that.
Yes. I mean, really, influximab REMICADE is the drug that we first described in 2000 in the last 10 years, it has been the best drug for patients that are steroid-refractory who aren't getting better with just methotrex. So that represents a significant proportion of patients with sarcoidosis chronic disease. And that is a much more toxic drug. You're probably aware of it in things like rheumatoid arthritis and Crohn's disease.
And this drug infliximab is better than HUMIRA, some of the other anti-TNF drugs. So having a drug that has a much better safety profile like this one is good. And then the infliximab trial didn't look that better -- much better than this one. In fact, it didn't improve quality of life in the infliximab trial that we did here -- like we did here.
Our next question comes from the line of Prakhar Agrawal with Cantor Fitzgerald.
Maybe a couple on pulmonary sarcoidosis. How did the ability to taper even beyond the 12-week tapering protocol impact the results in the placebo performance? And second question is, have you been able to tease out efficacy by patients who were on a higher quartile of baseline steroid across placebo and treatment compared to the average of 10.5 milligram? And I had a quick follow-up.
Yes. For that second point, Prakhar, we did look -- we've looked at 10 and above and below 10 as that was a prespecified stratification. We're not seeing differences there in the conclusions. The drug does not work any better or any less regardless of those cutoffs.
Now looking more specifically into smaller 2.5-milligram or quartile elements. This is something we are going to unpack and look a little bit more closely at. To the other question you had was, if I understood it correctly, your view was the ability to taper. I think that's what you're getting at. The placebo patients maybe need to take a little longer than 12 weeks. Was that what you were getting at?
Yes. Yes.
Yes. So another thing we're really looking at closely is the ability to taper. What we're observing is our protocol has been able to rigorously get folks down, the rate and speed in which placebo compared to our drug is something that we're really looking closely at. And also then looking at ability to maintain 0 for, say, a 6-month duration.
We're seeing differences emerge there that efzofitimod does a better job. So we'll look at things like steroid-free days, ability to taper time to clinical worsening these are also things that we're looking at very, very closely here. So stay tuned, yes.
And can you talk about the timing of the SSc-ILD readout now and read-throughs to that indication from these data sets?
No timing just yet. I think we'll come back to that probably later this year. As I've said previously, once we have better line of sight to complete enrollment in that trial, we'll have an idea on when it reads out. That's a 6-month trial. So stay tuned once we look to finish enrollment in that trial, the SOC data will be approximately 6 or 7 months after that.
Our next question comes from the line of Roger Song with Jefferies.
The first one I have is the variability in the kinetics since you're already taking to a lot of additional detail on the time course. Just curious, one is how the standard deviation look like? Is that higher than your modeling? The other thing is that any time point you see the strategical difference between the efzo and the placebo during the course of the 1 year? And then I have a follow-up.
Right. So your first point, I think, is more about -- you said about the drug kinetics.
Yes, drug kinetics and then standard deviation yes.
Right, right. So the PK, we are doing some for sampling, and we are going to be looking more closely at that. So absolutely, looking at the exposure of the patients. That is something that we're going to look very closely. This is a standardized weight base, but could we also tease out some differences in an exposure response this is something, Roger, that will be important for us to look at for sure.
That's not obviously a top line analysis, but the PK characteristics and the ability to potentially see an exposure response is something that we want to have done here as well. I just don't have that right now, but that will be something that will be very important.
Your second question is, I think I think what you're getting at is durability. And when I think about this drug, I can see some data that will probably be presented at ERS in my mind. Quality of life, for example, was just remarkably consistent. efzofitimod immediately started to make patients feel good. And when you look at all the time points our statistical difference observed is not just an anomaly of week 48.
Really across the trial, we're seeing the quality of life for the patients on efzofitimod significantly better regardless of which time point you look at. So that's the data that we hope to present in Amsterdam, follow-on visualizations, looking at point-to-point variability.
I think the drug is demonstrating a very, very durable response and that's certainly a very durable quality of life trend. And Dr. Bachman, you've seen some of that as well. I think you'd concur with me with regard to that assessment?
Yes, I think the fact is that you're seeing a response that looks pretty apparent in the first 12 weeks, but it doesn't go away with time. You don't see a decay in that. And I actually like the fact that all the endpoints are going together it's not an end point that's sitting out there that's going in the opposite direction.
Got it. And then in terms of the KSQL, the endpoint. It is prespecified. Do you have any alignment on the powering and then when you design the trial? And then last question also related to regulatory. Any potential subpopulation you will dig deep into to show the statistical significance even in the primary endpoint?
Yes. So the KSQ is prespecified and all of the analyses that I presented today were prespecified and well powered. So the fact that we showed the statistical differences in overall KSQ and also in the responder, this is a well-powered signal based on the size of our trial and at thresholds that are meaningful.
And as I said, preliminarily validated at this point. We're working on validating in parallel from this trial. So very much in line with the numbers that we want to hit as we validate the KSQ and then from a powering point of view, very robust signals in both of those 2 endpoints. Your second question, Roger, can you just repeat that again?
Yes, sure. So any subpopulation -- meet the primary end point?
Yes. So I think what we're going to be looking really closely at. We've looked at things like duration of disease, say, more than 2 years, less than 2 years, we've looked at -- we'll be looking at subpopulations of different PFT phenotypes.
We've started by looking at mixed and restricted patients compared to not mixed and restrictive. So those subpopulation, that analysis is starting and ongoing. As I said, this is some of the post-hoc work that now we'll dig in to determine if there are some populations where we have a different signal. So that is part of the post-hoc analysis that's emerging.
As I mentioned, background immunosuppressant use with methotrexate. It's something I'm looking really closely at because there's a notion, as I said, that placebo may have benefited from that. This sets us up to also have a real discussion around can efzofitimod also potentially replace methotrexate because methotrexate does not seem to be at least looking at this data to be a drug that has a lot of primary efficacy.
Which I think I suspected -- but these are the elements that we look to unpack as the drug efzofitimod is certainly safer than methotrexate, which comes with its own liver side effects. So these are the things that we're going to be looking really closely at Roger, in the post-hoc data cuts.
Our next question comes from the line of Brian Abrahams with RBC Capital Markets.
Sorry, the results didn't work out as you'd hoped, but I appreciate you hosting this call and providing this really helpful context. Just kind of curious, as we think about framing next steps. Can you characterize your willingness to run another study in this indication? And if you were to -- can you talk about maybe some of the changes you might consider to endpoints might the design include perhaps less rigorous, more real-world check-in protocol versus every 2 weeks. Could you consider dosing higher? Did you see any patterns of AEs that would preclude you from dosing up in the subsequent study? And then I have a follow-up.
Thanks, Brian. Yes. So just to be clear, we're looking in the FDA about the potential for efzofitimod immediately being available for patients. So we'll be looking at any and all opportunities for that in the event that we would be asked to run the trial, whether confirmatory, whatever nature of that trial looks like you point out several things that we need to really dig into.
I don't necessarily think about passing the patients less, loosening that criteria certainly I think would yield greater deltas. But I do like the way the protocol is run. I think what we really want to focus on is the placebo population, are there things with the IE criteria that could be tightened up to squeeze some of that signal. I think that would be something that we would look at really closely.
How do we even further fine-tune the patient population to enhance that delta One could say that just the delta we've established the more than 12% difference, you can model off that. I mean, this is probably the best natural history data ever in sarcoidosis. So now you can model off of this and model and then that you can hit that difference, provided it a meaningful important difference.
But I also -- I look at signals in KSQ that has to play a bigger role I think we've already gone beyond steroid reduction. So now I think we're in a world where our drug and other drugs will -- I think patients will demand steroid withdrawal. With regard to dosing, we don't -- we have a good safety profile.
I think you bring up a good point could the drug be administered more frequently, could we go to every 3 weeks infusion, we'd have to weigh that against how the patients would feel and the centers. All really good points here. if we are asked to do something another trial. But our viewpoint is we want to take this data set and see what can immediately be done for patients who are really in desperate need of better therapy.
Understood. No, that makes a lot of sense. And then maybe just one more question. Did you notice any correlations between the improvements on KSQ lung with steroid reductions or withdrawal. I guess I'm sort of wondering whether the quality of life improvements that you're seeing are driven primarily by greater steroid reductions or perhaps a secondary drug effect, especially considering you mentioned that these were seen like quite early on.
I think it's fair to say that if you remove steroids, you are going to feel better. But I think what really is something that we have focused on is the degree of quality of life improvement is quite substantially different between those placebo patients that remove steroids compared to those that remove steroids on efzofitimod.
And that's apparent when you look at the KSQ differences and especially the responder analysis. So I think it's fair to say that any and all of us, if we took less steroids, we're going to feel better. The question is, are you substantially or statistically better than your placebo counterparts, and we've demonstrated that in this trial.
So I think it's a combination, but I also think that this is why I view it as the protocol effect, the rigor of our protocol reduces steroids, but to really feel better epsofitimobs the thing that is making the patient's quality of life better here with that difference that we observe.
Our next question comes from the line of Yale Jen with Laidlaw & Company.
Just two here. The first one is essentially we already have the Phase III data in retrospectively, as you go back to look at the Phase II readout, do you have any comment and thoughts on that -- then I have a follow-up.
Thanks, Yale. Yes, I mean Phase II obviously had a different design, taking folks down to 5. And obviously, we didn't have the rigor of the every 2 weeks with the PGA. But when you look at that data, look at quality of life, again, a very consistent signal that we observed in that trial. It's safe, similar to that trial. We consistently in that trial showed a dose response.
I think it's at least on my preliminary view, we're seeing something similar in this trial. 5 certainly is always outperforming a placebo in all the assessments we're looking at. So a lot of consistency from that trial. That was a smaller trial. I think that was one of the things that we were heavily criticized. Now we have a signal in 270 -- nearly 270 patients. So consistency in a much larger population that is now really well powered. I think this is why we like some of the results in this trial.
Okay. Great. That's very helpful. And 1 more question here, which is that the endpoint has been adjusted toward an average of 4 weeks versus the, I guess, the last weeks of the study. Do you see that have any impact on the readout?
Well, I think you have to look at -- we have patient diary data for every single day. So the average dose is also best is the way the FDA wanted us to look at it, point estimates, point-to-point variability. I think that could be worrisome if we just take a point estimate. .
But I think the main point here is when you look at month-to-month assessments, as Dr. Bachman pointed out, we have a lot of durability here. The signal is not bouncing around at the visits of quality of life, in particular, immediately patients start to feel better, and they continue to feel substantially better compared to their placebo counterparts all throughout the year, while maintaining 0 steroids, so -- 0 to low steroids.
Our next question comes from the line of Soumit Roy with Jones Trading.
When you look at the curve for between the placebo arm on the 5 milligram, was there any difference between 12 to 24 weeks versus 24 to 48 as this is the longest trial ever in this indication or was that pretty much overlapping the whole time.
I'll be looking, Soumit, at the different cutoffs. We looked at the whole trial. We've also looked at 12 to 48. So stay tuned. I think what you're getting at is, is there -- are there windows? Does the drug start to work better towards the end? Right now, we just look at overall and we're also looking at 12 to 48, I need to look at some other windows.
And this goes back to an earlier question that can the drug seem to allow patients to taper faster and cleaner. That's something that I think is going to be really important. And the other component is, did it take placebo patients longer to get to 0. So this is some of that time to event, the number of steroid-free days. Those are things that I will be looking at and hope to get that to you in the future.
And one last question. Trying to reconcile the quality of life endpoint versus the primary endpoint. Clearly, do you think the drug is clearly disease modifying and if there is any objective biomarker or something that you can use to show that this drug is effective in certain subpopulation as you dig through the data?
Well, I definitely think it's treatment modifying. Disease-modifying gets into looking at other elements, other functional elements, maybe radiographic. That's something we didn't assess in this trial. So I think it's yet to be determined.
But certainly, yes, I mean, we are, in many ways, modifying disease by substantially reducing steroids, still maintaining inflammatory control, not worsening lung function. And I think patients would certainly say that it's modifying their life. And I think that's a significant concern and consideration for these patients. They've been on toxic prednisone for decades.
And I think this is the first drug that, I think, really gives hope. It is going to change, I think, treatment practices and experts are going to look at this data and have to think differently. But I also think that efzofitimod has demonstrated some things quite unique.
Our last question comes from the line of Dev Prasad with Lucid Capital Markets.
I have a couple of questions, one for our KOL and one for Sanjay. For KOL how do you view the relative importance of KSQ versus FVC in pulmonary sarcoidosis patients in terms of capturing meaningful clinical benefit.
And for Sanjay, KSQ case you demonstrated clear benefit in the trial. But how do you think FDA will balance those quality of life gains against FVC benefit?
Dr. Bob and why don't you go first and then I'll finish.
Yes. All right. So yes, I'm a pulmonologist. So we like numbers and we look at FVC. But if you have the patient and we did a few years ago, we published a study of 1,800 sarcoidosis patients. The #1 priority to them as far as treatment was quality of life; and #2 was functionality. Number 8 on the list was the lowest one was pulmonary function tests. They really are less enthusiastic.
And I think -- as I said, if you look at the trials that we've completed, the improvement in force bottle capacity has been minimal. That was the biggest result with infliximab despite the fact that over the next 15 years, we've shown that, that drug is an important part of therapy.
So I think the FVC has been overblown up. The FDA is, I think, recognized that that's probably not the primary endpoint and the recommendations we're making now, you should be looking at quality of life and steroid withdrawal.
Yes, Dr. Bachman, you exactly said what I would say, FVC from a regulatory perspective is falling much lower in its priority we got wind of that years ago when we started after our Phase II data. It's clear that quality of life and steroid replacement reduction. This is the way at least I read the FDA is interested in the KSQ lung is a field endpoint.
They look for things and field function and survives. Right now, I think the drug of the disease is searching for even better functional measures. But in my view, the field end point here that the FDA is focusing on and has guided us to focus on is King's Sarcoidosis Questionnaire. So I do think that this portends well for us, that's where we saw a signal.
Thank you. I would now like to turn the call back over to Sanjay Shukla for closing remarks.
I just want to thank everyone's interest, a lot of great questions today. obviously, not exactly what we wanted, not what the company wanted, not what investors wanted. I do want to just highlight here, though, that for patients, specifically those patients who are listening, those that were in our trial you contributed to something here, landmark, the medical evidence that we're producing here is going to make you feel better.
Practice patterns are going to have to acknowledge this excellent evidentiary data set that we've created. I think it's going to positively benefit your care. Efzofitimod is still in the mix here. As I said, we plan to really fight for you, fight for patients and work closely with the agencies around the world, but I did want to tip my hat to the patients out there and really thank them for their interest and those that participate in our trial you really moved the field forward. So I'll end there, and thanks, everybody, for dialing in.
This concludes today's conference call. Thank you for your participation. You may now disconnect.
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aTyr Pharma, Inc. entwickelt Proteintherapeutika und eine neue Klasse biologischer Arzneimittel. Sie plant den Aufbau einer Pipeline von therapeutischen Produkten auf der Grundlage der physiokrinen Biologie. Das Unternehmen hat einen dominierenden Bestand an geistigem Eigentum aufgebaut, um sowohl die Kerntherapeutika als auch die damit verbundenen Diagnostika zu schützen. Es ist in einem einzigen Buchhaltungssegment tätig. aTyr Pharma wurde am 8. September 2005 von Paul Schimmel, Xiang-Lei Yang und Bruce Beutler gegründet und hat seinen Hauptsitz in San Diego, Kalifornien.
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| Hauptsitz | USA |
| CEO | Dr. Shukla |
| Mitarbeiter | 59 |
| Gegründet | 2005 |
| Webseite | www.atyrpharma.com |


