Naseema GangatAzeem ElbeihNour GhosounKristen McCulloughFnu ApernaIsla McKerrow JohnsonMaymona AbdelmagidAref Al‐KaliHassan B. AlkhateebKebede H. BegnaMichelle A. ElliottAbhishek A. MangaonkarAasiya MatinAntoine N. SalibaMehrdad HefaziMark R. LitzowWilliam J. HoganMithun Vinod ShahMrinal M. PatnaikAnimesh PardananiTalha BadarHemant S. MurthyJames M. ForanJeanne PalmerLisa SproatNandita KheraCecilia Y. Arana YiSamuel J. YatesAbigail SneiderEmily DworkinAnand PatelAlexandre BazinetJayastu SenapatiÁlex BatallerCourtney D. DiNardoTapan M. KadiaAyalew Tefferi
ABSTRACT Patients with newly diagnosed acute myeloid leukemia (ND‐AML) derive variable survival benefit from venetoclax + hypomethylating agent (Ven‐HMA) therapy. The primary objective in the current study was to develop genetic risk models that are predictive of survival and are applicable at the time of diagnosis and after establishing treatment response. Among 400 ND‐AML patients treated with Ven‐HMA at the Mayo Clinic, 247 (62%) achieved complete remission with (CR) or without (CRi) count recovery. Multivariable analysis–derived hazard ratios (HR), including 1.8 for European LeukemiaNet (ELN) adverse karyotype, 4.7 for KMT2Ar , 1.7 for TP53 MUT , 2.6 for KRAS MUT , and 2.1 for IDH2 WT were applied to develop an HR‐weighted risk model: low, intermediate, and high; respective median survival censored for allogeneic stem cell transplant (ASCT) (3‐year survival) were “not reached” (67%), 19.1 (33%), and 7.1 months (0%). In patients achieving CR/CRi, adverse karyotype, KMT2Ar , KRAS MUT , IDH2 WT predicted inferior survival, allowing for a complementary response‐stratified risk model. The model was externally validated and was shown to be superior to the ELN 2024 risk model (AIC 179 vs. 195 and AUC 0.77 vs. 0.69). Survival was inferior with failure to achieve CR/CRi or not receiving ASCT; 3‐year survival for high‐risk with or without ASCT was 42% versus 0% ( p < 0.01); intermediate 72% versus 43% ( p = 0.06); and low‐risk 88% versus 78% ( p = 0.53). The Mayo genetic risk models offer pre‐treatment and response‐based prognostic tools for ND‐AML treated with Ven‐HMA. The current study underscores the prognostically indispensable role of achieving CR/CRi and ASCT.
Naseema GangatAzeem ElbeihNour GhosounKristen McCulloughIsla McKerrow JohnsonMaymona AbdelmagidAref Al‐KaliHassan B. AlkhateebKebede BegnaMichelle A. ElliottAbhishek A. MangaonkarAasiya MatinAntoine N. SalibaMehrdad HefaziMark R. LitzowWilliam J. HoganMithun Vinod ShahMrinal M. PatnaikAnimesh PardananiTalha BadarHemant S. MurthyJames M. ForanJeanne PalmerLisa SproatNandita KheraCecilia Y. Arana YiAyalew Tefferi
Ziyu FengXiaohui HuWeiyang LiTing XuYang XuShengli XueHuiying QiuXiaowen TangYue HanSuning ChenAining SunDepei WuYing Wang
Georgio MedawarSerena TharakanDahniel SastowVincent LokSu Bin HahnPreston PerezAbigail DemersDavid M. SwobodaDouglas TremblayAlexander Coltoff
Azeem ElbeihNour GhosounKristen McCulloughIsla McKerrow JohnsonMaymona AbdelmagidAref Al‐KaliHassan B. AlkhateebKebede BegnaMichelle A. ElliottAbhishek A. MangaonkarAasiya MatinAntoine N. SalibaMehrdad HefaziMark R. LitzowWilliam J. HoganMithun Vinod ShahMrinal M. PatnaikAnimesh PardananiTalha BadarHemant S. MurthyJames M. ForanJeanne PalmerLisa SproatNandita KheraCecilia Y. Arana YiAyalew TefferiNaseema Gangat
Georgio MedawarKevin GrafJean-Sebastien AnomaQi GuoAmy HockmanScott McCraneyJulian WeißChenyu LinDahniel SastowDouglas TremblayJonathan AlexánderPraneeth BaratamAlexander Coltoff