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Enregistrement W3214290048 · doi:10.1182/blood-2021-151605

A Phase I/II Study of Sapacitabine and Venetoclax in Relapsed/Refractory Acute Myeloid Leukemia

2021· article· en· W3214290048 sur OpenAlexaboutno aff
Sai Prasad Desikan, Hagop M. Kantarjian, Courtney D. DiNardo, Gautam Borthakur, Naval Daver, Naveen Pemmaraju, Yesid Alvarado, Jan A. Burger, Debra Bull Linderman, Sherry Pierce, Farhad Ravandi, Guillermo Garcia‐Manero, Tapan M. Kadia

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxVenMedicineDecitabineInternal medicineGastroenterologyRegimenConcomitantCytarabineOncologyMyeloid leukemiaMucositisLeukemiaChemotherapyChemistryChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Sapacitabine is a novel, orally bioavailable, cytosine nucleoside analogue with a unique mechanism that generates single-stranded DNA breaks which are converted into double-stranded DNA breaks resulting in cell death. Previous studies of sapacitabine alone and alternating with decitabine (DAC) have demonstrated activity in acute myeloid leukemia (AML). Preclinical studies have suggested synergy with the combination of sapacitabine and a BCL-2 inhibitor. We conducted a study investigating the combination of sapacitabine and venetoclax (VEN) as an entirely oral regimen for patients with relapsed/refractory (R/R) AML. Methods: This is a phase I/II study for patients ≥ 18 years with R/R AML or MDS with blasts ≥10% investigating the safety and efficacy of escalating doses of sapacitabine combined with VEN. Eligibility included ECOG performance status ≤ 2 and adequate organ function. Two cohorts were investigated: Cohort 1 studied sapacitabine given PO BID on D1-5; Cohort 2 studied sapacitabine given PO BID on D1-3 and D8-10 of each cycle, which was defined as 4 weeks. Sapacitabine was escalated from a starting dose of 250mg. VEN was given to a target dose of 400mg PO on D1-14 of each cycle. VEN ramp-up was utilized, starting at 100mg on D1, 200mg on D2, and 400mg on days 3 through 14. Adjustments to the VEN dose were made based on concomitant CYP3A inhibitors. Results: Between 03/2020 and 03/2021, 13 pts were enrolled in the study. Baseline characteristics are shown in table 1. The median age was 70 years (range, 30-82) and 8 pts (62%) were aged ≥ 70 years. One pt (7%%) had favorable risk, 3 (23%) had intermediate risk, and 9 (70%) had adverse risk karyotype; 5 pts (38%) had a complex karyotype. The most common mutations detected by next-generation sequencing were: TET2 (46%), ASXL1 (30%), NRAS (30%), and WT1 (23%%). One patient (8%) had a TP53 mutation. This was a heavily pretreated population, having received a median of 2 prior therapies (1 - 9), including 6 patients (46%) having received prior intensive chemotherapy and 4 patients (30%) with prior allogeneic SCT. Six patients (46%) had received prior VEN-based therapy. Among 13 evaluable patients, there was 1 (8%) complete response with incomplete platelet recovery (CRp). Patients received a median of 1 cycle (1-9) on protocol. Five patients (38%) were able to remain on protocol without a protocol defined response, but with clinical benefit and good tolerability, for ≥2 cycles. With a median follow up of 14.61 months (1-16), the median overall survival (OS) was 3.8 months with a 60-day survival rate of 76% (Figure 1). There was no significant difference in OS between the two dosing schedules. The median OS among patients that had and had not received prior VEN was 3.32 months and 4.5 months, respectively (P=0.25). The patient that achieved a CRi had secondary AML with 7q deletion, an ASXL1 mutation, and only single-agent DAC as prior therapy. The oral chemotherapy combination was well tolerated, with 4- and 8-week mortality of 8% and 15%, respectively. The most common grade 3/4 non-hematologic adverse events regardless of attribution were: febrile neutropenia (31%), cellulitis (23%) pneumonia (15%), hypophosphatemia (8%), hypokalemia (8%). Two patients (15%) had grade 5 sepsis on study in the setting of active AML. Conclusion: In a heavily pretreated population of patients with R/R AML, the combination of sapacitabine and VEN was well tolerated and feasible to be administered as a completely oral, outpatient regimen. Most patients had multiple prior cycles of nucleoside analogue containing regimens and the only notable responder had only prior DAC. Further study of this well-tolerated combination in less heavily pretreated patients may be considered. Figure 1 Figure 1. Disclosures Kantarjian: Jazz: Research Funding; Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Aptitude Health: Honoraria; NOVA Research: Honoraria; Ascentage: Research Funding; Ipsen Pharmaceuticals: Honoraria; Astra Zeneca: Honoraria; Astellas Health: Honoraria; BMS: Research Funding; Daiichi-Sankyo: Research Funding; KAHR Medical Ltd: Honoraria; Immunogen: Research Funding; AbbVie: Honoraria, Research Funding; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria. DiNardo: Novartis: Honoraria; Forma: Honoraria, Research Funding; Foghorn: Honoraria, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria; Agios/Servier: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Research Funding; ImmuneOnc: Honoraria, Research Funding; AbbVie: Consultancy, Research Funding; Notable Labs: Current holder of stock options in a privately-held company, Membership on an entity's Board of Directors or advisory committees; Celgene, a Bristol Myers Squibb company: Honoraria, Research Funding. Borthakur: GSK: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Protagonist: Consultancy; Takeda: Membership on an entity's Board of Directors or advisory committees; University of Texas MD Anderson Cancer Center: Current Employment; ArgenX: Membership on an entity's Board of Directors or advisory committees; Astex: Research Funding; Ryvu: Research Funding. Daver: ImmunoGen: Consultancy, Research Funding; Trovagene: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding; Astellas: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; FATE Therapeutics: Research Funding; Gilead Sciences, Inc.: Consultancy, Research Funding; Trillium: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Glycomimetics: Research Funding; Novimmune: Research Funding; Hanmi: Research Funding; Sevier: Consultancy, Research Funding; Novartis: Consultancy; Jazz Pharmaceuticals: Consultancy, Other: Data Monitoring Committee member; Dava Oncology (Arog): Consultancy; Celgene: Consultancy; Syndax: Consultancy; Shattuck Labs: Consultancy; Agios: Consultancy; Kite Pharmaceuticals: Consultancy; SOBI: Consultancy; STAR Therapeutics: Consultancy; Karyopharm: Research Funding; Newave: Research Funding. Pemmaraju: Dan's House of Hope: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Consultancy; ASH Communications Committee: Membership on an entity's Board of Directors or advisory committees; Sager Strong Foundation: Other; Daiichi Sankyo, Inc.: Other, Research Funding; HemOnc Times/Oncology Times: Membership on an entity's Board of Directors or advisory committees; DAVA Oncology: Consultancy; Aptitude Health: Consultancy; Springer Science + Business Media: Other; Roche Diagnostics: Consultancy; Novartis Pharmaceuticals: Consultancy, Other: Research Support, Research Funding; LFB Biotechnologies: Consultancy; ASCO Leukemia Advisory Panel: Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy; MustangBio: Consultancy, Other; Cellectis S.A. ADR: Other, Research Funding; Samus: Other, Research Funding; Plexxicon: Other, Research Funding; Affymetrix: Consultancy, Research Funding; Stemline Therapeutics, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; CareDx, Inc.: Consultancy; Abbvie Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Protagonist Therapeutics, Inc.: Consultancy; Clearview Healthcare Partners: Consultancy; Blueprint Medicines: Consultancy; Bristol-Myers Squibb Co.: Consultancy; ImmunoGen, Inc: Consultancy; Pacylex Pharmaceuticals: Consultancy. Alvarado: Sun Pharma: Consultancy, Research Funding; Daiichi-Sankyo: Research Funding; Astex Pharmaceuticals: Research Funding; CytomX Therapeutics: Consultancy; BerGenBio: Research Funding; FibroGen: Research Funding; Jazz Pharmaceuticals: Research Funding; MEI Pharma: Research Funding. Burger: AstraZeneca: Consultancy; Beigene: Research Funding, Speakers Bureau; Pharmacyclics LLC: Consultancy, Other: Travel/Accommodations/Expenses, Research Funding, Speakers Bureau; Novartis: Other: Travel/Accommodations/Expenses, Speakers Bureau; Gilead: Consultancy, Other: Travel/Accommodations/Expenses, Research Funding, Speakers Bureau; TG Therapeutics: Other: Travel/Accommodations/Expenses, Research Funding, Speakers Bureau; Janssen: Consultancy, Other: Travel/Accommodations/Expenses, Speakers Bureau. Ravandi: Syros Pharmaceuticals: Consultancy, Honoraria, Research Funding; Jazz: Honoraria, Research Funding; Astex: Honoraria, Research Funding; Taiho: Honoraria, Research Funding; Agios: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; AstraZeneca: Honoraria; Novartis: Honoraria; Xencor: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Prelude: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Research Funding. Kadia: AstraZeneca: Other; Ascentage: Other; Jazz: Consultancy; BMS: Other: Grant/research support; AbbVie: Consultancy, Other: Grant/research support; Aglos: Consultancy; Amgen: Other: Grant/research support; Cure: Speakers Bureau; Dalichi Sankyo: Consultancy; Genfleet: Other; Cellonkos: Other; Sanofi-

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,308
Écart entre enseignants0,288 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai non randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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