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Olin, Rebecca L.

https://orcid.org/0000-0002-5060-0384

Mayo Clinic

Smilow Cancer Hospital

Citations 33

NCCN Guidelines® Insights: Acute Myeloid Leukemia, Version 3.2026
Patel, Anand , Patel, Anand , Pollyea, Daniel Aaron , Altman, Jessica K. , Assi, Rita, Bachiashvili, Kimo, Bhatt, Vijaya Raj , Fathi, Amir T. , Fedorov, Kateryna, Foran, James M. , Gojo, Ivana , Goldberg, Aaron, Hall, Aric C. , Jonas, Brian A., Levine, Matthew R., Mangan, James, Mannis, Gabriel N. , Marcucci, Guido , Mims, Alice S , Moriarty, Kelsey, Ali, Moaath Mustafa, Neff, Jadee , Nejati, Reza , Olin, Rebecca L. , Patel, Anand, Percival, Mary‐Elizabeth M. , Perl, Alexander E. , Pettit, Kristen, Rao, Dinesh S. , Ravandi‐Kashani, Farhad, Schwabkey, Zaker, Shallis, Rory, Stahl, Maximilian, Stone, Richard M. , Thota, Swapna, Uy, Geoffrey L., Walker, Alison, Wang, Eunice, Awotiwon, Ajibola, Roth, Sydney L., Stehman, Katie

Journal of the National Comprehensive Cancer Network | June 15, 2026 | Volume: 24 | Issue: 6 | Pages: 222-229

10.6004/jnccn.2026.0028 Get It

Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy characterized by the clonal expansion of myeloid blasts in the peripheral blood, bone marrow, and/or other tissues. It is the most common form of acute leukemia among adults and accounts for the largest number of annual deaths from leukemias in the United States. 1 The NCCN Guidelines Panel for AML convenes annually to update recommendations for the diagnosis and treatment of AML in adults. These recommendations are based on a review of recently published clinical trials that have led to significant improvements in treatment or have yielded new information regarding biologic factors that may have prognostic importance. These NCCN Guidelines Insights summarize the panel’s most recent recommendations regarding the monitoring and management of measurable (minimal) residual disease.
CHARM is prognostic of geriatric morbidity and toxicity after allogeneic transplant for older adults: BMT CTN 1704 study
Artz, Andrew , Logan, Brent R., Saber, Wael , Geller, Nancy L. , Bellach, Anna , Kou, Jianqun, Wood, William A. , McCarty, John M. , Knight, Thomas G. , Runaas, Lyndsey, Johnston, Laura, Nakamura, Ryotaro , Mishra, Asmita , Uberti, Joseph P., Morris, Lawrence E. , Nadiminti, Kalyan , Olin, Rebecca L. , Sobecks, Ronald , Wall, Sarah , Mattila, Deborah, Protz, Bailey, Horowitz, Mary M. , Artz, Andrew S , Nakamura, Ryotaro , Saultz, Jennifer N , Imus, Philip H , Hogan, William J , Nadiminti, Kalyan V , Bhatt, Vijaya Raj , Devine, Steven , Sorror, Mohamed , Knight, Thomas G , Wood, William A , Walston, Jeremy D , Dahi, Parastoo B , McCurdy, Shannon , Hogan, William J. , Bhatt, Vijaya Raj , Maakaron, Joseph E. , Devine, Steven M. , Sorror, Mohamed L.

Blood Advances | November 21, 2025 | Volume: 10 | Issue: 5 | Pages: 1657-1669

10.1182/bloodadvances.2025018340 Get It

Abstract Despite concerns about the toxicity of allogeneic hematopoietic cell transplantation (alloHCT) in older patients, prospective data characterizing prevalence or risk stratification for geriatric morbidity such as disability or frailty are limited. We prospectively assessed the prognostic impact of the novel composite health assessment risk model (CHARM), a score established to predict 1-year nonrelapse mortality (NRM), among 1105 patients aged ≥60 years enrolled on the Bone Marrow Transplant Clinical Trials Network Study 1704. Secondary end points were assessed post-alloHCT at day 100 (D100), D180, and D365 in multivariable models adjusted with predetermined clinical variables. Among alloHCT survivors, the prevalence of disability by instrumental activities of daily living (IADL), frailty by the Physical Frailty Phenotype, and physical function impairment by Patient Reported Measurement Information System (PROMIS) was highest at D100 and lower on D180 and D365. Higher CHARM scores were independently associated with greater disability (coefficient, −0.64; 95% confidence interval [CI], −0.85 to −0.43; P< .001), increased frailty (coefficient, 0.19; CI, 0.081-0.31; P< .001), worse PROMIS physical function, greater PROMIS depression, increased serious organ toxicity by D100, more cognitive decline at D100, and higher mortality after acute graft-versus-host disease (GVHD) but not significantly associated with PROMIS anxiety or acute GVHD. Higher CHARM scores predicted worse disability-free survival (odds ratio [OR], 2.03; CI, 1.66-2.48; P< .001) and lower frailty-free survival (OR, 2.00; CI, 1.61-2.49). In summary, CHARM is an independent prognostic scoring system not only for NRM but also for geriatric morbidity and functional limitation–free survival through 1 year after alloHCT. Pre-alloHCT CHARM is a novel tool to aid shared decision-making for older patients. This trial was registered at www.clinicaltrials.gov as #NCT03992352.
Peri-transplant supportive and palliative care and/or comorbidity management for older, medically infirm, and/or frail recipients of allogeneic hematopoietic cell transplantation (Allo-HCT): Phase II and interim phase III trial analyses.
Fausto, James , Givens, Matthew , Schoenherr, Laura A., Jayani-Kosarzycki, Reena, Webb, Jason A. , Martins-Welch, Diana , Rabow, Michael W. , Ferrer, Jeanette, Cook, Rachel J. , Carrum, George, Olin, Rebecca L. , Johnston, Laura, Yeow, Mei-Ean , Sobecks, Ronald , Uberti, Joseph P., Loggers, Elizabeth T , Givens, Matthew, Jayani, Reena , Juckett, Mark , Alkhateeb, Hassan B. , Sorror, Mohamed L.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 12011-12011

10.1200/jco.2025.43.16_suppl.12011 Get It

12011 Background: Patients (pts) with high HCT-Comorbidity Index scores (HCT-CI of ≥3), older age (≥65 years), and/or who are frail per gait speed (<0.8 meters/second) have increased morbidity and mortality after allo-HCT compared to younger and healthier counterparts. We report the phase II analysis (PIIA) and interim phase III primary outcome analysis (PIIIA) of a seamless phase II/III prospective, randomized clinical trial conducted at 11 transplant centers to test new approaches to improve quality of life (QOL) in this population. Methods: Phase II compared specialist-administered supportive and palliative care (SPC), patient-administered management of comorbidities (MC, e.g. physical exercise, stress reduction, etc), both (SPC+MC), and usual care (UC) for change in Functional Assessment of Cancer Therapy – Bone Marrow Transplantation (FACT-BMT) QOL scores from baseline to day 90 (D90). Pts deceased prior to D90 were assigned FACT-BMT score=0. The winning phase II arm moved forward versus UC in phase III. Results: PIIA was done after enrolling 35 pts to each of the 4 study arms. Calculating the difference between FACT-BMT scores on D90 minus baseline, excluding missing data, indicated that only SPC resulted in a small improvement in QOL compared to either MC or SPC+MC (Table); hence SPC was the winning phase II arm. The PIIIA was conducted after enrolling 158 SPC pts and 153 UC pts. The SPC and UC arms were well balanced with median age (both 68 years), HCT-CI ≥3 (49% vs 55%), frailty per gait speed (13% vs 12%), female sex (41% vs 34%), non-white race (9.5% vs 11.5%), and Hispanic or unreported ethnicity (7.7% vs 5.7%), respectively. After median follow-up of 362 days, 45 pts had died in each arm. The mean QOL difference between D90 and baseline was 2.83 for SPC and 4.27 for UC (difference of differences, -1.44, 95% CI of difference, -5.03 to 2.14, p=0.43). Fitting a generalized linear model that included baseline, D30, and D90 values and testing the null hypothesis that the slope of scores differs between SPC and UC resulted in p=0.85. Using the Kaplan Meier method, no difference in survival was observed across arms (HR 1.13 [0.75-1.73]). Conclusions: Specialist-administered palliative care showed no meaningful improvement in QOL, nor a survival advantage, compared to usual care in frail, older and comorbid allo-HCT recipients, resulting in the cessation of this Phase II/III trial. Analysis of the whole patient population for primary and secondary outcomes is in progress. Clinical trial information: NCT03870750 . Change in FACT-BMT (D90 value minus baseline value) comparing the 4 arms of phase II. Group Mean difference (sd) Median difference (range) SPC (n=28) -2.93 (28.52) 0.25 (-102 to 38.22) CM (n=18) -18.37 (33.80) -9.50 (-98.33 to 11) SPC+CM (n=27) -15.76 (32.69) -7.67 (-90 to 32)
Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704
Sorror, Mohamed L. , Saber, Wael , Logan, Brent R. , Geller, Nancy L. , Bellach, Anna , Kou, Jianqun, McCarty, John M. , Knight, Thomas G. , Runaas, Lyndsey, Johnston, Laura, Nakamura, Ryotaro , Jarrett, Lori, Mishra, Asmita , Uberti, Joseph P., Morris, Lawrence E. , Nadiminti, Kalyan , Olin, Rebecca L. , Sobecks, Ronald , Wall, Sarah , Mattila, Deborah, Protz, Bailey, Horowitz, Mary M. , Geller, Nancy , Knight, Thomas G , Nakamura, Ryotaro , Dahi, Parastoo B , Saultz, Jennifer N , Imus, Philip H , Hogan, William J , Bhatt, Vijaya Raj , Artz, Andrew S , Sorror, Mohamed , Wood, William A. , Walston, Jeremy D , Jarrett, Lori, McCurdy, Shannon , Hogan, William J. , Bhatt, Vijaya Raj , Maakaron, Joseph E. , Devine, Steven M. , Artz, Andrew

Blood Advances | March 18, 2025 | Volume: 9 | Issue: 13 | Pages: 3268-3280

10.1182/bloodadvances.2025015793 Get It

Abstract Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults with hematologic malignancies. Concerns on nonrelapse mortality (NRM) in older adults limit allo-HCT utilization. We executed a prospective, observational study BMT-CTN 1704 (Blood and Marrow Transplant Clinical Trials Network) enrolling allo-HCT recipients aged ≥60 years from 49 centers in the United States. We analyzed associations between 13 measurements of older adult health and NRM within 1 year to construct a comprehensive health assessment risk model (primary-CHARM) using multivariate Fine-Gray model and grouped penalized variable selection. Two machine learning (ML) models (Cox and pseudo-value boosting) were also explored. Models’ performances were compared using area under the curve (AUC), with bootstrap and cross-validation sampling to correct for optimism, decision curve analysis (DCA), calibration, and Brier scores. Among 1105 patients with median age of 67 (range, 60-82) years who received allo-HCT, NRM was 14.4% and overall survival (OS) 71.7% at 1 year. Factors statistically selected for inclusion in primary-CHARM were higher comorbidity burden, lower albumin, higher C-reactive protein, older age, higher weight-loss percentage, lower patient-reported performance score, and cognitive impairment. Primary-CHARM scores were independently associated with higher NRM (hazard ratio [HR], 2.72; P &lt; .0001) and worse OS (HR, 2.09; P &lt; .0001). Bootstrap bias–corrected AUC for primary-CHARM was 0.591. Comparing primary-CHARM with HCT-comorbidity index and 2 ML-CHARM models, calibration, Brier score, and DCA analysis favored primary-CHARM. Primary-CHARM, with mostly simple and readily available parameters, risk stratifies older adults for allo-HCT. Adopting primary-CHARM in practice may promote broader use of HCT by quantifying risk and enhance the design of strategies to improve outcomes. This trial was registered at www.ClinicalTrials.gov as #NCT03992352.
Outcomes and Survival in Newly Diagnosed, Older, Acute Myeloid Leukemia Patients from the Beat AML Master Trial in the Venetoclax/Azacitidine Age
Borate, Uma , Huang, Ying , Swords, Ronan , Stein, Eytan M. , Patel, Prapti A. , Collins, Robert H. , Baer, Maria R. , Blum, William , Arellano, Martha , Odenike, Olatoyosi , Redner, Robert L. , Kovacsovics, Tibor , Deininger, Michael W. , Olin, Rebecca L. , Foran, James M. , Schiller, Gary J. , Curran, Emily , Koenig, Kristin L , Heerema, Nyla A. , Martycz, Molly , Stefanos, Mona , Marcus, Sonja, Rosenberg, Leonard, Burd, Amy , Yocum, Ashley O. , Byrd, John C. , Byrd, John C. , Byrd, John C , Welkie, Rina Li , Traer, Elie , Lin, Tara L. , Madanat, Yazan F. , Duong, Vu H. , Stock, Wendy , Zeidner, Joshua F. , Smith, Catherine C. , Chen, Timothy Frank , Druker, Brian J , Levine, Ross L. , Mims, Alice S

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 4324-4324

10.1182/blood-2024-211178 Get It

Background: The BeatAML Master Trial (BAMT) began in 2016 with a goal of determining the feasibility of a precision-medicine approach in treating acute myeloid leukemia (AML) in older adults ≥ 60 years of age where outcomes are poor. At the time, standard of care (SOC) for older patients with AML was intensive 7+3 chemotherapy (cytarabine + daunorubicin) if fit and hypomethylating agents (HMA: azacitidine or decitabine) if unfit. Besides confirming the feasibility, the early results (2019) from the Master Trial suggested that patients who received therapy on one of the sub-studies had a lower early death rate and superior overall survival compared to patients receiving off-protocol SOC, which was primarily single-agent HMA at the time. Since then, the 2019 approval of venetoclax (ven) + azacitidine for older unfit AML patients has been transformative and emerged as the SOC. Using data from the BAMT from 2016-2024, we suggest that knowing the comprehensive genomic profile of AML at the time of diagnosis is still beneficial in determining therapy that would lead to the optimal outcome and that development of targeted therapies and combination regimens with ven/HMA is still needed. Methods: This is a retrospective analysis of 1096 patients who consented and enrolled on the BAMT (NCT03013998) from Nov 2016 through Jun 2024. Patients ≥ 60 years with newly diagnosed AML were included. Patients underwent therapy on a BeatAML sub-study based on their genetics (N=433) or treatment off-protocol (N=663). We divided the patients according to what therapy they received: (1) Non-Intensive (Off-Protocol, N=121), (2) Ven/HMA (Off-Protocol, N=234), (3) Non-Intensive (Sub-Study, N=407), (4) Intensive (Sub-Study, N=26), and (5) Intensive (Off-Protocol, N=155). 94 patients received no treatment and 59 were unknown. Non-intensive therapies included primarily targeted agents or non-ven combinations. We analyzed baseline characteristics and demographics, overall survival (OS), and the impact of allogenic stem cell transplant (SCT). OS, using Kaplan-Meier method, was measured from the start of therapy to all-cause death, censoring patients at last follow-up. Results: Characteristics and demographics were similar between Groups 1, 2 and 3. Group 4 and 5 were treated with intensive chemotherapy and their characteristics are reflective of younger/fit patients appropriate for the intensive regimen. Groups 4 and 5 also had the longest median OS (mOS) of 40.2 months (95% CI: 13.9-not reached (NR)) and 42.3 months (95% CI: 25.1-NR) respectively. Group 3, which included patients treated with a non-intensive, targeted therapy on a sub-study, had an mOS of 14.0 months (95% CI: 12.3-16.7), which was similar to Group 2, treated with Ven/HMA, that had an mOS of 13.2 months (95% CI: 10.9-16.3). Lastly, patients in Group 1, who were treated primarily with HMA monotherapy, did poorly in comparison, with an mOS of 6.0 months (95% CI: 3.3-10.1). Additionally, we looked at the cumulative incidence rate (CIR) of SCT. The CIR in 12 months of Group 1 was 9.8% (95% CI: 6.9-13.4), Group 2: 5.4% (95% CI: 2.2-10.7), Group 3 and 4 combined: 35.0% (95% CI: 628.1-42.1), and Group 5: 13.1% (95% CI: 6.9-13.4). In a multi-variable analysis, after adjusting for typical favorable risk factors like NPM1 mutations and core binding factor, SCT was highly significant (p&lt;0.0001) in improving OS with a hazard ratio of 0.23 (95% CI: 0.16-0.32), and Group 3 performed similarly to Group 2 (p=0.20). Conclusions: First, our results suggest that it is clinically relevant to correctly identify whether an intensive chemotherapy, targeted-therapy, or ven/HMA regimen is best suited for older AML patients, for which a precision-medicine trial is ideal for. Secondly, in this group of patients, our results show that patients treated with a non-intensive targeted therapy (Group 3) has a similar mOS to those treated with ven/HMA (Group 2). Especially after controlling for patient characteristics, patients in Group 2 performed similar to those in Group 3 (p=0.20). Patients in Group 3 were treated on Beat AML sub-studies which included targeted therapy alone or with non-venetoclax combinations, which is a strong rationale for continued development of targeted agents to optimize toxicity and quality of life with similar survival. Lastly, this data also supports the need to improve the ven/HMA SOC by developing combination regimens with targeted agents to further improve outcomes.
IDH2 Mutation Is Associated with Favorable Outcome Among Older Adults with Newly Diagnosed Acute Myeloid Leukemia Treated with Lower-Intensity Therapy
Huang, Ying , Swords, Ronan , Stein, Eytan M. , Patel, Prapti A. , Collins, Robert H. , Baer, Maria R. , Blum, William , Arellano, Martha , Odenike, Olatoyosi , Redner, Robert L. , Kovacsovics, Tibor , Deininger, Michael W. , Olin, Rebecca L. , Foran, James M. , Schiller, Gary J. , Curran, Emily , Koenig, Kristin L , Heerema, Nyla A. , Chen, Timothy , Martycz, Molly , Stefanos, Mona , Marcus, Sonja, Rosenberg, Leonard, Burd, Amy , Yocum, Ashley O. , Borate, Uma , Byrd, John C. , Byrd, John C , Hoff, Fieke W. , Welkie, Rina Li , Traer, Elie , Lin, Tara L. , Duong, Vu H. , Stock, Wendy , Zeidner, Joshua F. , Smith, Catherine C. , Druker, Brian J , Levine, Ross L. , Mims, Alice S , Madanat, Yazan F.

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 4325-4325

10.1182/blood-2024-202596 Get It

Background: Mutations of isocitrate dehydrogenase (IDH) are recurrent in acute myeloid leukemia (AML) and the prevalence increases with age. The prognostic impact of IDH1 and IDH2 mutations remains controversial. IDH inhibitors are small molecules that bind within the IDH enzymatic active site, blocking aberrant 2-hydroxyglutarate production and inducing myeloid differentiation. While they can lead to differentiation syndrome, they generally have a more favorable side-effect profile, making them an attractive option for older patients. We aimed to describe the prevalence and prognostic impact of IDH mutations in newly diagnosed (ND) AML patients ≥ 60 years in a large cohort of patients treated on a Leukemia and Lymphoma Society-sponsored trial. Methods: We performed a retrospective observational analysis including patients ≥ 60 years with ND AML who were enrolled on the Beat AML clinical trial (NCT03013998) before May 10, 2023. Patients were treated with a variety of treatment regimens. Cytogenetic analysis and next-generation sequencing (FoundationOne®Heme) were obtained. Mutations were considered present at any detectable VAF. Cox proportional hazard models were used to describe the relative risk of each variable on death over time from the date of trial inclusion. Results: A total of 1023 patients with ND AML were identified. Patients had a median age of 72 (range 60-92) years and the majority were non-Hispanic White (83.2%), and male (57.6%). Ninety-nine (9.7%) patients were IDH1MUT, 193 (18.9%) patients were IDH2MUT including 10 (1.0%) patients with a co-occurring IDH1 and IDH2 gene mutations. Both IDH1MUT and IDH2MUT were associated with 2022 ELN favorable-risk (26.3% and 22.3% for IDH1 and IDH2 respectively, vs 15.5% overall (P&lt;0.001)). IDH1MUT significantly co-occurred with DNMT3AMUT (42.4%), NPM1MUT (44.4%) and less frequently with TP53MUT (10.1%) (P&lt;0.001 for all). IDH2MUT was associated with DNMT3AMUT (35.8%), NPM1MUT (31.1%), SRSF2MUT (38.3%), and less frequently with TET2MUT (6.7%) and TP53MUT (9.3%) (P&lt;0.001 for all). Normal karyotype was higher in IDH1MUT (P&lt;0.001) and IDH2MUT (P&lt;0.001), whereas complex karyotype (P&lt;0.001 for both) and core-binding factor AML (P=0.047, P=0.015) were lower in IDH1MUT and IDH2MUT. To evaluate the impact of IDH mutations in patients ≥ 60 years, we focused on patients evaluable for outcome treated with lower-intensity therapy (LIT) (N=674), and intensive chemotherapy (IC) (N=178), separately. Among the LIT treated patients, 96 patients received treatment with an IDH inhibitor, and 237 patients received a hypomethylating agent (HMA) plus venetoclax. For patients treated with LIT, the hazard ratios (HRs) of death over time were 0.58 [95% CI 0.47-0.72; P&lt;0.002], 0.81 [95% CI 0.59-1.13; P=0.214] and 0.56 [95% CI 0.44-0.72; P&lt;0.001] for IDHMUT, IDH1MUT, IDH2MUT respectively. Among patients receiving IC, the HRs were 1.05 [95% CI 0.68-1.69; P=0.777], 0.70 [95% CI 0.31-1.61; P=0.406] and 1.27 [95% CI 0.77-2.1; P=0.352] for IDHMUT, IDH1MUT, and IDH2MUT respectively. The HR of death for IDH1MUT patients treated with LIT with the addition of an IDH1 inhibitor (N=24) was significantly lower (HR 0.47 [95% CI 0.24-0.92; P=0.027] vs IDH1MUT patients treated without an IDH1 inhibitor, while an IDH2 inhibitor did not change survivial outcomes in patients with IDH2MUT (N=71). Discussion: To our knowledge this is the largest retrospective study characterizing the prevalence of IDH mutations in patients ≥ 60 years with AML. We demonstrated that IDH mutations were detected in ~27% of older patients with AML. Although there could have been selection bias as the Beat AML study had separate IDHMUT study arms, these findings are concordant with other studies showing an increase in frequency of IDH mutations with age. IDH2MUT was associated with a lower HR of death among patients treated with LIT, which was not seen in patients receiving IC. The high prevalence of IDH mutations suggests that IDH inhibitors used as single agents or in combination with lower-intensity therapies are an important class of drugs for this older patient population as they are generally well tolerated, that need further investigation.
The Composite Health Risk Assessment Model (CHARM) Predicts Risks of Toxicities, Functional and Cognitive Decline Among Survivors of Allogeneic Hematopoietic Cell Transplantation (allo-HCT): A Prospective BMT-CTN Study 1704
Saber, Wael , Logan, Brent R., Geller, Nancy L. , Bellach, Anna , Kou, Jianqun, McCarty, John M. , Runaas, Lyndsey, Johnston, Laura, Nakamura, Ryotaro , Mishra, Asmita , Uberti, Joseph P., Morris, Lawrence E. , Nadiminti, Kalyan , Olin, Rebecca L. , Sobecks, Ronald , Wall, Sarah , Mattila, Deborah, Protz, Bailey, Horowitz, M., Sorror, Mohamed L. , Wood, William A. , Knight, Thomas G. , Walston, Jeremy D , Dahi, Parastoo B , Saultz, Jennifer N , McCurdy, Shannon , Imus, Philip H , Hogan, William J. , Bhatt, Vijaya Raj , Maakaron, Joseph E. , Devine, Steven M. , Horowitz, Mary M. , Artz, Andrew

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 685-685

10.1182/blood-2024-194414 Get It

Introduction: The BMT CTN 1704 study developed and validated the CHARM that stratified risk for non-relapse mortality and overall mortality among older adults, performing better than the HCT-CI alone (Artz A et al, Blood. 2023;142:109) and equally to two machine learning models. CHARM assigns a total score for 7 health variables: increasing age, higher HCT-CI scores, lower albumin, higher C-reactive protein, higher percent of weight loss over the preceding year, lower patient-reported performance status scores, and lower cognitive score per Montreal cognitive assessment (MoCA). A CHARM calculator is available at:https://cibmtr.org/CIBMTR/OffNav/DevSandbox/CHARM-Risk-NRM-Calculator No multi-institutional prospective data exist on functional trajectories and morbidity after HCT in older patients. We now report on the association of CHARM to trajectories of secondary morbidity outcomes among allo-HCT survivors of this large, prospective study. Patients and Methods: Allo-HCT candidates, aged ≥60 years (yrs), were enrolled (n=1226) from 49 centers in the US between 2019 - 2021. The primary analysis includes 1105 patients proceeding to allo-HCT on study and secondary endpoints were assessed at day (D) 100, 180 and 365 except MoCA and organ toxicity were restricted to D100 and frailty had inadequate data for D100. A sequential multiple imputation strategy was implemented to impute endpoints for survivors at each time point with missing data. Analyses on multiply imputed datasets were conducted and the results combined using Rubin's rule. Associations between CHARM scores and secondary outcomes were analyzed using a multivariable Cox, Fine-Gray, Generalized Estimating Equations, and logistic regression model for survival, competing risks, continuous, and binary outcomes, respectively, with latter two focused on surviving patients. Models were adjusted for other variables including conditioning intensity, graft-versus-host disease (GVHD) prophylaxis regimen, disease-risk index, donor-recipient gender match, ethnicity, baseline value of the dependent variable, and visit timepoints. Results: Higher CHARM scores were associated with development of serious organ toxicities by D100 (OR: 2.05, [1.52-2.78], p&lt;0.0001) and ≥2 worsening score on the MoCA (odds ratio (OR) 1.55 [1.16-2.1], p=0.003). Among survivors at all timepoints, higher CHARM scores were associated with greater disability by instrumental activities of daily living (IADL) (Slope -0.640 [-0.433-0.846], p&lt;0.001) and worsening Patient-Reported Outcomes Measurement Reporting System (PROMIS) physical function (Slope -0.981 [-0.057 - -1.904], p=0.037), depression (Slope 0.763 [0.042-1.484], p=0.038) and in a lesser magnitude anxiety (Slope 0.659, p=0.076). Among survivors at D180 and D365, higher CHARM scores were associated with worse frailty (Slope 0.193 [0.081-0.305], p&lt;0.001). CHARM scores were not associated with development of acute GVHD grades 2-4 or 3-4 but were associated with post-GVHD increased mortality (HR: 1.61, [1.25-2.08], p=0.0002). Higher CHARM scores are associated with a lower incidence of chronic GVHD (HR: 0.83, p=0.026), likely due to the effect of CHARM on the competing risk of death leaving fewer patients at risk for chronic GVHD. Conclusions: The novel primary CHARM, originally developed to predict risks of NRM, also predicts worse frailty, disability, cognitive decline, and serious organ toxicities; outcomes that are critically important to older recipients of allo-HCT. CHARM therefore informs risks of transplant morbidity, separate from risks of developing acute GVHD. Results further support adopting CHARM in practice to counsel patients, expedite HCT referrals for lower risk CHARM, and design trials for high CHARM score patients.
Demographics, Characteristics, Survival and Outcomes in Older, Untreated, Acute Myeloid Leukemia Patients with NPM1 Mutations or KMT2A rearrangements from the Beat AML Master Clinical Trial
Borate, Uma , Huang, Ying , Swords, Ronan , Stein, Eytan M. , Patel, Prapti A. , Collins, Robert H. , Baer, Maria R. , Blum, William , Arellano, Martha , Odenike, Olatoyosi , Redner, Robert L. , Kovacsovics, Tibor , Deininger, Michael W. , Olin, Rebecca L. , Foran, James M. , Schiller, Gary J. , Curran, Emily , Koenig, Kristin L , Heerema, Nyla A. , Martycz, Molly , Stefanos, Mona , Marcus, Sonja, Rosenberg, Leonard, Burd, Amy , Yocum, Ashley O. , Byrd, John C. , Byrd, John C. , Byrd, John C , Welkie, Rina Li , Traer, Elie , Lin, Tara L. , Madanat, Yazan F. , Duong, Vu H. , Stock, Wendy , Zeidner, Joshua F. , Smith, Catherine C. , Chen, Timothy Frank , Druker, Brian J , Levine, Ross L. , Mims, Alice S

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 1564-1564

10.1182/blood-2024-211261 Get It

Background: Chromosomal rearrangements involving the KMT2A gene and mutations involving the nucleophosmin (NPM1) gene have been associated with response to menin inhibitors in multiple studies of acute myeloid leukemia (AML) patients characterized by these genetic alterations. Both alterations are more common in younger AML patients and those with NPM1 mutations historically perform better. However, the prevalence and outcomes of older (≥60 years) AML patients with these alterations who are treated with current therapies is less well understood. We present results from the Beat AML Master Trial (BAMT) that analyze the outcomes of this large, but less common subset of patients in an older AML population. Methods: Patients were consented and enrolled on this precision medicine-based Beat AML Master Trial (NCT03013998) from November 2016 to June 2024. Patients were included in this analysis if they harbor either the classic NPM1 mutation or a KMT2A rearrangement (over 10 different gene partners). Additionally, 2 patients with a NUP98 rearrangement were included with the KMT2A cohort as they are known to have similar biology in terms of menin dependence. These patients were treated with the following therapies: a sub-study specific targeted therapy for the dominant clone, venetoclax + hypomethylating agent (Ven/HMA), intensive chemotherapy (IC), alternative non-intensive therapy (NIT), or no therapy. Clinical/genetic characteristics and median overall survival (OS) were analyzed in each group separately. Overall survival (OS) was calculated from master consent and estimated using the Kaplan-Meier method. Results: Of 1096 AML patients enrolled on the BAMT, 246 patients had either an NPM1 (N=207, 18.9%) or KMT2A (N=39, 3.6%) genetic alteration. The baseline characteristics for the NPM1 cohort were median age 72 years (range: 60-92), 50% female, and ECOG performance status: 0-16%, 1-58%, 2-25% and 3-1%. Additional disease characteristics include treatment related AML at 11% and complex karyotype (≥3 abnormalities) at 3%. Median OS for the entire NPM1 cohort was 18.4 months (95% CI: 14.2-24.7). Patients were treated on a sub-study (35%), Ven/HMA (19%), IC (26%), NIT (8%) or no treatment (9%). Between treatment groups, median OS was 21 months (95% CI: 12.8-31.7) for those treated on a sub-study, 22 months (95% CI: 12.6-not reached (NR)) for Ven/HMA, 41.6 months (95% CI: 18.2-NR) for IC, and 6.3 months (95% CI: 1.3-23) for NIT, which was significantly different (p&lt;0.0001). The baseline characteristics for the KMT2A cohort were median age 69 years (range: 60-88), 44% female, and ECOG performance status: 0-19%, 1-45%, 2-35% and 3-0%. Treatment related AML occurred in 23% of patients and complex karyotype in 31%. Median OS for the KMT2A cohort was 6.5 months (95% CI: 3.6-31.6). Patients were treated on a sub-study (38%), Ven/HMA (15%), IC (15%), NIT (15%), or no treatment (5%). Between treatment groups, median OS was 31.6 months (95% CI: 3.2-NR) for sub-study, 5.0 months (95% CI: 3.0-NR) for Ven/HMA, 12.7 months (95% CI: 4.9-NR) for IC, and 2.9 months (95% CI: 1.5-NR) for NIT, which was also significantly different (p&lt;0.0001). Conclusions: In this cohort of older AML patients who possess NPM1 or KMT2A mutations, initial demographics and clinical characteristics upon presentation are as expected. Within each cohort and depending on the type of therapy received, there were interesting differences in survival. Median OS was the highest for the NPM1 cohort that received IC while the KMT2A cohort had the highest median OS when enrolled on a KMT2A targeted sub-study; a finding that supports precision-based medicine for this high-risk KMT2A group characterized by poor outcomes. As menin inhibitor combinations with induction chemotherapy or Ven/HMA move to the frontline setting, we anticipate seeing significant improvement in outcomes for AML patients in both of these genomic subsets. Further multivariable analysis will be performed to validate treatment effect on OS. Our analyses for these two cohorts also provide valuable outcome benchmarks for the design of future precision oncology studies that seek to improve survival in these subsets of older AML patients.
Beat-AML 2024 ELN–refined risk stratification for older adults with newly diagnosed AML given lower-intensity therapy
Hoff, Fieke W. , Blum, William , Huang, Ying , Welkie, Rina Li , Swords, Ronan , Traer, Elie , Stein, Eytan M. , Lin, Tara L. , Patel, Prapti A. , Collins, Robert H. , Baer, Maria R. , Arellano, Martha , Odenike, Olatoyosi , Redner, Robert L. , Kovacsovics, Tibor , Deininger, Michael W. , Olin, Rebecca L. , Foran, James M. , Schiller, Gary J. , Curran, Emily , Koenig, Kristin L , Heerema, Nyla A. , Chen, Timothy L. , Martycz, Molly , Stefanos, Mona , Marcus, Sonja G., Rosenberg, Leonard, Burd, Amy , Yocum, Ashley O. , Borate, Uma , Byrd, John C. , Madanat, Yazan F. , Huang, Ying , Byrd, John C. , Duong, Vu H , Deininger, Michael , Zeidner, Joshua F , Smith, Catherine C , Koenig, Kristin L , Druker, Brian J , Mims, Alice S , Madanat, Yazan , Traer, Elie , Lin, Tara L , Byrd, John C , Archer, Kellie J. , Duong, Vu H. , Stock, Wendy , Zeidner, Joshua F. , Smith, Catherine C. , Marcus, Sonja G., Levine, Ross L.

Blood Advances | August 7, 2024 | Volume: 8 | Issue: 20 | Pages: 5297-5305

10.1182/bloodadvances.2024013685 Get It

Abstract Although the 2022 European LeukemiaNet (ELN) acute myeloid leukemia (AML) risk classification reliably predicts outcomes in younger patients treated with intensive chemotherapy, it is unclear whether it applies to adults ≥60 years treated with lower-intensity treatment (LIT). We aimed to test the prognostic impact of ELN risk in patients with newly diagnosed (ND) AML aged ≥60 years given LIT and to further refine risk stratification for these patients. A total of 595 patients were included: 11% had favorable-, 11% intermediate-, and 78% had adverse-risk AML. ELN risk was prognostic for overall survival (OS) (P &lt; .001) but did not stratify favorable- from intermediate-risk (P = .71). Within adverse-risk AML, the impact of additional molecular abnormalities was further evaluated. Multivariable analysis was performed on a training set (n = 316) and identified IDH2 mutation as an independent favorable prognostic factor, and KRAS, MLL2, and TP53 mutations as unfavorable (P &lt; .05). A “mutation score” was calculated for each combination of these mutations, assigning adverse-risk patients to 2 risk groups: −1 to 0 points (“Beat-AML intermediate”) vs 1+ points (“Beat-AML adverse”). In the final refined risk classification, ELN favorable- and intermediate-risk were combined into a newly defined “Beat-AML favorable-risk” group, in addition to mutation scoring within the ELN adverse-risk group. This approach redefines risk for older patients with ND AML and proposes refined Beat-AML risk groups with improved discrimination for OS (2-year OS, 48% vs 33% vs 11%, respectively; P &lt; .001), providing patients and providers additional information for treatment decision-making.