Prognostic risk integration for survival modeling (PRISM) in newly diagnosed acute myeloid leukemia treated with venetoclax:  a multinational retrospective cohort study

Abstract Background: The 4-gene molecular prognostic risk score (mPRS) improves overall survival (OS) prediction in patients (pts) with newly diagnosed AML (ND-AML) treated with hypomethylating agents (HMA) and venetoclax (VEN). Yet given the broad clinical and molecular heterogeneity of AML, risk stratification remains suboptimal. We consolidated a large international cohort of ND-AML pts treated with lower-intensity regimens including HMA or low-dose cytarabine (LDAC) plus VEN to improve OS prognostication. Methods: We analyzed 2,273 ND-AML adult pts who received frontline VEN with HMA (n=2,222) or LDAC (n=51) at an academic medical center in the US, UK, France, Germany, or Italy who had complete clinical, cytogenetic, and molecular data. An initial set of 1,974 patients were split into a training (TC, N=1,339) and internal validation (VC, N=635) cohorts, stratifying on key clinical variables (de novo vs. secondary AML, TP53 and IDH2 mutations, hematopoietic cell transplantation [HCT], death). An additional N=299 patients, acquired later, were utilized as an external validation set. OS was measured from therapy start, estimated with Kaplan-Meier curves, and compared across risk groups using the log-rank test. HCT was considered a time-dependent covariate. OS discrimination was estimated by Harrell's C-index (C). Clinical and genomic features (with a frequency ≥ 4% required for nominal features) were included in model development. Cox L1-penalized regression of OS applied to 1,000 bootstrap samples from the TC was used to identify stable features (selected with a consistent direction in ≥75% of bootstrap iterations). These features were entered into a robust Cox model. Non-significant genes “ResMut” were grouped according to their directional effect on OS to create “ResMut-fav” denoting the presence of ≥1 mutation in a favorable set of residual genes. The final robust Cox model beta coefficients were added to calculate patient-specific risk PRISM scores. Quartiles of PRISM scores defined four clinical PRISM risk groups: low (L), moderate (M), high (H), and very-high (VH). Results: In the TC, median pt age was 74 years; 61% were male. 41% had secondary AML (sAML), arising from an antecedent hematologic disorder (sAML-AHD) in 33% (11% with treated AHD) and from prior therapy in 8%. The mPRS distribution was 56% higher-, 22% intermediate-, and 22% lower-benefit. HCT rate was 12%. The final PRISM model included age, sex, sAML-AHD, ELN 2022 complex karyotype and other adverse-risk cytogenetic abnormalities, and adverse mutations in KRAS, PTPN11, FLT3-ITD, JAK2, ASXL1, and TP53. Favorable features included diploid karyotype, mutations in RUNX1 or IDH2, and ResMut-fav (comprising CEBPA, BCOR, IDH1, SF3B1). For TC pts, at median follow-up of 20.8 months (mo), median OS (mOS) was 12.2 mo (95% CI: 10.9–13.6). Higher PRISM scores were associated with worse OS (1-unit increase HR: 2.50; 95% CI: 2.21–2.82; C: 0.654). Median OS by PRISM risk group L/M/H/VH was 29.6, 17.6, 11.3, and 5.6 mo (C: 0.641; p<0.001). PRISM risk groups improved OS discrimination vs. mPRS (C: 0.641 vs. 0.583, p<0.001), with similar benefit after adjusting for HCT (C: 0.650 vs. 0.594, p<0.001). There were no significant differences in considered variables between the TC and VC. In the VC, median follow-up was 24.4 mo and mOS 13.0 mo (95% CI: 11.5–14.8). The PRISM score was significantly associated with OS (1-unit increase HR: 2.28; 95% CI: 1.91–2.71; C: 0.653). Median OS by PRISM group L/M/H/VH was 24.4, 15.0, 11.7, and 5.8 mo, similar to rates observed in the TC. PRISM risk groups outperformed mPRS (C: 0.648 vs. 0.613, p=0.002), including after adjusting for HCT (C: 0.659 vs. 0.629, p=0.018). The external validation cohort was marginally older (median age 75 years) with fewer HCT recipients (8%) compared to the initial TC/VC. Higher PRISM scores remained highly associated with OS (1-unit increase HR: 2.49, 95% CI: 1.92-3.24; C: 0.661). Median OS by PRISM group L/M/H/VH was 28.8, 13.9, 12.5, and 6.3 mo. PRISM risk groups had better OS discrimination than mPRS (C: 0.648 vs. 0.584, p=0.010), including after adjusting for HCT (C:0.662 vs. 0.607, p=0.004). Conclusions: Integration of prognostically relevant clinical and genomic features into the PRISM score and subsequent PRISM risk groups enables improved discrimination of survival following lower-intensity HMA/LDAC+VEN therapy in patients with ND-AML compared to current risk classification frameworks.

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Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-453
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Acute Myeloid Leukemia Research
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article
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article

Prognostic risk integration for survival modeling (PRISM) in newly diagnosed acute myeloid leukemia treated with venetoclax:  a multinational retrospective cohort study

Richard Dillon, Gaspar Aspas Requena, William Blum, Elie Traer et al.
1 citations
Blood
Acute Myeloid Leukemia Research
1.77
article

Prognostic risk integration for survival modeling (PRISM) in newly diagnosed acute myeloid leukemia treated with venetoclax:  a multinational retrospective cohort study

Richard Dillon, Gaspar Aspas Requena, William Blum, Elie Traer, Ellen Madarang, Maël Heiblig, W Stock, Emmanuelle Tavernier, Rachel C. Cook, Shivani Handa, Seongseok Yun, Justin M. Watts, Jenny O’Nions, Elsa Bernard, Giovanni Marconi, Urbain Tauveron-Jalenques, Daniel A. Pollyea, Ronan Swords, Tara L. Lin, Gary J. Schiller, Joshua F. Zeidner, Rafael Madero‐Marroquin, Amine Belhabri, Jennifer N. Saultz, Nicola Long, Jad Othman, Andy Kaempf, Maria R. Baer, Michael Heuser, Sanam Loghavi, Joseph Cannova, Ashley O. Yocum, Federica Monaco, Eytan M. Stein, Rebecca L. Olin, John Laurie, Rabia Shahswar, Anand Patel, Fatima Tuz Zahra, Ying Huang, Dimitrios Drekolias, Martin Carré, Curtis A. Lachowiez, Irene Zacheo, Emily Curran, Yazan F. Madanat, Rina Li Welkie, Faisal Basheer
article en
1 citations

Abstract

Abstract Background: The 4-gene molecular prognostic risk score (mPRS) improves overall survival (OS) prediction in patients (pts) with newly diagnosed AML (ND-AML) treated with hypomethylating agents (HMA) and venetoclax (VEN). Yet given the broad clinical and molecular heterogeneity of AML, risk stratification remains suboptimal. We consolidated a large international cohort of ND-AML pts treated with lower-intensity regimens including HMA or low-dose cytarabine (LDAC) plus VEN to improve OS prognostication. Methods: We analyzed 2,273 ND-AML adult pts who received frontline VEN with HMA (n=2,222) or LDAC (n=51) at an academic medical center in the US, UK, France, Germany, or Italy who had complete clinical, cytogenetic, and molecular data. An initial set of 1,974 patients were split into a training (TC, N=1,339) and internal validation (VC, N=635) cohorts, stratifying on key clinical variables (de novo vs. secondary AML, TP53 and IDH2 mutations, hematopoietic cell transplantation [HCT], death). An additional N=299 patients, acquired later, were utilized as an external validation set. OS was measured from therapy start, estimated with Kaplan-Meier curves, and compared across risk groups using the log-rank test. HCT was considered a time-dependent covariate. OS discrimination was estimated by Harrell's C-index (C). Clinical and genomic features (with a frequency ≥ 4% required for nominal features) were included in model development. Cox L1-penalized regression of OS applied to 1,000 bootstrap samples from the TC was used to identify stable features (selected with a consistent direction in ≥75% of bootstrap iterations). These features were entered into a robust Cox model. Non-significant genes “ResMut” were grouped according to their directional effect on OS to create “ResMut-fav” denoting the presence of ≥1 mutation in a favorable set of residual genes. The final robust Cox model beta coefficients were added to calculate patient-specific risk PRISM scores. Quartiles of PRISM scores defined four clinical PRISM risk groups: low (L), moderate (M), high (H), and very-high (VH). Results: In the TC, median pt age was 74 years; 61% were male. 41% had secondary AML (sAML), arising from an antecedent hematologic disorder (sAML-AHD) in 33% (11% with treated AHD) and from prior therapy in 8%. The mPRS distribution was 56% higher-, 22% intermediate-, and 22% lower-benefit. HCT rate was 12%. The final PRISM model included age, sex, sAML-AHD, ELN 2022 complex karyotype and other adverse-risk cytogenetic abnormalities, and adverse mutations in KRAS, PTPN11, FLT3-ITD, JAK2, ASXL1, and TP53. Favorable features included diploid karyotype, mutations in RUNX1 or IDH2, and ResMut-fav (comprising CEBPA, BCOR, IDH1, SF3B1). For TC pts, at median follow-up of 20.8 months (mo), median OS (mOS) was 12.2 mo (95% CI: 10.9–13.6). Higher PRISM scores were associated with worse OS (1-unit increase HR: 2.50; 95% CI: 2.21–2.82; C: 0.654). Median OS by PRISM risk group L/M/H/VH was 29.6, 17.6, 11.3, and 5.6 mo (C: 0.641; p<0.001). PRISM risk groups improved OS discrimination vs. mPRS (C: 0.641 vs. 0.583, p<0.001), with similar benefit after adjusting for HCT (C: 0.650 vs. 0.594, p<0.001). There were no significant differences in considered variables between the TC and VC. In the VC, median follow-up was 24.4 mo and mOS 13.0 mo (95% CI: 11.5–14.8). The PRISM score was significantly associated with OS (1-unit increase HR: 2.28; 95% CI: 1.91–2.71; C: 0.653). Median OS by PRISM group L/M/H/VH was 24.4, 15.0, 11.7, and 5.8 mo, similar to rates observed in the TC. PRISM risk groups outperformed mPRS (C: 0.648 vs. 0.613, p=0.002), including after adjusting for HCT (C: 0.659 vs. 0.629, p=0.018). The external validation cohort was marginally older (median age 75 years) with fewer HCT recipients (8%) compared to the initial TC/VC. Higher PRISM scores remained highly associated with OS (1-unit increase HR: 2.49, 95% CI: 1.92-3.24; C: 0.661). Median OS by PRISM group L/M/H/VH was 28.8, 13.9, 12.5, and 6.3 mo. PRISM risk groups had better OS discrimination than mPRS (C: 0.648 vs. 0.584, p=0.010), including after adjusting for HCT (C:0.662 vs. 0.607, p=0.004). Conclusions: Integration of prognostically relevant clinical and genomic features into the PRISM score and subsequent PRISM risk groups enables improved discrimination of survival following lower-intensity HMA/LDAC+VEN therapy in patients with ND-AML compared to current risk classification frameworks.

BloodVol. 146(Supplement 1)
University of North Carolina at Chapel Hill (US), University of Maryland, Baltimore (US), The University of Sydney (AU), University College London Hospitals NHS Foundation Trust (GB), The University of Texas MD Anderson Cancer Center (US), Emory University (US), University of California, Los Angeles (US), Oregon Health & Science University (US), King's College London (GB), The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (US), Royal North Shore Hospital (AU), Centre Hospitalier Universitaire de Grenoble (FR), Institut Gustave Roussy (FR), Moffitt Cancer Center (US), Medizinische Hochschule Hannover (DE), Kettering University (US), University of Chicago (US), Ospedale "Santa Maria delle Croci" di Ravenna (IT), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT), Centre Léon Bérard (FR), Institute Cancer De La Loire Lucien Neuwirth (FR), Hôpital Lyon Sud (FR), University of Kansas Medical Center (US), Centre Hospitalier Universitaire de Clermont-Ferrand (FR), Ospedale Infermi di Rimini (IT), Agir Pour les Maladies Chroniques (FR), University Hospitals Sussex NHS Foundation Trust (GB), Addenbrooke's Hospital (GB), Sylvester Comprehensive Cancer Center (US), University College London (GB), University of Colorado Anschutz Medical Campus (US), The Ohio State University (US), University of Baltimore (US), University of Cincinnati (US), Université de Nîmes (FR), Martin Luther University Halle-Wittenberg (DE), Aurora University (US), University of San Francisco (US), Friends of Cancer Research (US), The University of Texas Southwestern Medical Center (US), Université Grenoble Alpes (FR), University of Colorado Denver (US)
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Acute Myeloid Leukemia Research
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