2022
DOI: 10.1182/blood-2022-169509
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ELN Risk Stratification Is Not Predictive of Outcomes for Treatment-Naïve Patients with Acute Myeloid Leukemia Treated with Venetoclax and Azacitidine

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Cited by 55 publications
(55 citation statements)
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“…66 A sequential-BATTing (bootstrapping and aggregating of thresholds from trees) approach was used to stratify patients receiving VEN-AZA into 3 prognostic risk groups, defined by the presence or absence of TP53 , FLT3 -ITD, and K/NRAS mutations (Table 1). 66,67 Consistent with prior publications, prognosis was worst for patients with mutated TP53 , who were designated as a lower benefit subgroup, with median OS <6 months. 42 Patients who were TP53 wild-type, but FLT3 -ITD or K/NRAS mutated had a median OS of ~1 year and were designated to have intermediate benefit.…”
Section: Prognostic Versus Predictive Biomarkers For Ven Use In Amlmentioning
confidence: 99%
See 1 more Smart Citation
“…66 A sequential-BATTing (bootstrapping and aggregating of thresholds from trees) approach was used to stratify patients receiving VEN-AZA into 3 prognostic risk groups, defined by the presence or absence of TP53 , FLT3 -ITD, and K/NRAS mutations (Table 1). 66,67 Consistent with prior publications, prognosis was worst for patients with mutated TP53 , who were designated as a lower benefit subgroup, with median OS <6 months. 42 Patients who were TP53 wild-type, but FLT3 -ITD or K/NRAS mutated had a median OS of ~1 year and were designated to have intermediate benefit.…”
Section: Prognostic Versus Predictive Biomarkers For Ven Use In Amlmentioning
confidence: 99%
“…A recent analysis of the VIALE-A study found that both the ELN 2017 64 and ELN 2022 65 risk classifications failed to clearly stratify survival for patients receiving VEN-AZA, indicating that the ELN risk model, which was developed in younger patients receiving intensive chemotherapy, was not fit for purpose when applied to older patients with AML receiving VEN-AZA. 66 A sequential-BATTing (bootstrapping and aggregating of thresholds from trees) approach was used to stratify patients receiving VEN-AZA into 3 prognostic risk groups, defined by the presence or absence of TP53 , FLT3 -ITD, and K/NRAS mutations (Table 1). 66,67 Consistent with prior publications, prognosis was worst for patients with mutated TP53 , who were designated as a lower benefit subgroup, with median OS <6 months.…”
Section: Prognostic Versus Predictive Biomarkers For Ven Use In Amlmentioning
confidence: 99%
“…Additionally, combinatorial therapy of venetoclax and LDAC demonstrated a manageable safety profile, producing rapid and durable remissions in older patients 68 . It is noteworthy that traditional risk stratification recommendations, that is, European LeukemiaNet (ELN), that are applicable to conventional chemotherapy do not apply to venetoclax‐based therapy 69 . Mechanistically, selective inhibition of antiapoptotic protein BCL‐2 alone has been shown to promote cytotoxicity in AML cells 70 .…”
Section: Treatment Options For Elderly Aml Patientsmentioning
confidence: 99%
“…The definition of complex karyotype has been updated and patients with multiple polysomies are no longer considered as adverse risk. The ELN 2022 risk classification is useful to guide clinical decision making, but it should be noted that is only intended for patients receiving intensive chemotherapy approaches and is not predictive for outcomes in patients receiving less intensive therapies [10 ▪ ].…”
Section: Text Of Reviewmentioning
confidence: 99%
“…Improved outcome based on the addition of venetoclax to azacitidine has constituted a new standard of care for this patient population. Although the ELN risk stratification is not predictive of outcomes in these patients[10 ▪ ], molecular predictors of response to this regimen have been described, with better outcomes for NPM1 -mut or IDH1/2 -mut patients and worse for FLT3 -ITD or TP53 -mut AML [24,25 ▪ ]. Moreover, MRD evaluation has recently proved to provide useful prognostic information also in this not-intensively-treated population [26 ▪ ].…”
Section: Text Of Reviewmentioning
confidence: 99%