Prognostic Significance of Monocytic-like Phenotype in AML Patients Treated with Venetoclax and Azacytidine

Context: The combination of hypomethylating agents (HMA) and venetoclax (Ven) is the standard care for unfit AML patients (pts). Döhner et al. proposed a 4-gene (N/KRAS, FLT3-ITD, TP53) molecular prognostic risk signature (mPRS) pts outperforming ELN22 in categorizing Ven-HMA treated pts into 3 prognostic groups (Döhner et al. ASH 2022). Conflicting data have raised the possibility that monocytic differentiation of AML blasts may induce resistance to Ven-HMA (Pei et al. Cancer Discov. 2020; Waclawiczek et al. Cancer Discov. 2023). Moreover, whether monocytic differentiation influences outcomes independently of gene mutations remains unaddressed. Objective: To explore the prognostic impact of monocytic differentiation accounting for mPRS in a single-center cohort of AML pts treated with Ven-Azacytidine (Aza). Methods & Results: We included 86 newly diagnosed AML pts sequentially accrued to our registry (NCT05326919) who underwent morphologic, cytogenetic, genomic, and multiparameter flow cytometry (MFC)-based phenotypic assessments, and who received Ven-Aza as frontline therapy between Jan 2017 and Jan 2024. Median age was 73 IQR [69, 77] years and 26 (30%) had a morphological diagnosis of monocytic AML (FAB 4/5). Most pts (75, 87%) were classified as ELN 2022 adverse risk, while mPRS classified 36 (42%), 24 (28%) and 26 (30%) pts as higher, intermediate and lower benefit respectively. Monocytic blasts (mono-blasts) were defined as SSClow-int/CD45low/+ blasts expressing ≥2 monocytic markers among CD4, CD36 and CD64. Additional markers (CD11b, CD14) were available in 42 (49%) and used in a confirmatory subanalysis. Expectedly, the proportion of mono-blasts among CD45+ cells (referred as mono-blasts/CD45+) was higher in FAB M4/5 AMLs than in non-M4/5 AMLs (17% IQR [11-28] vs 3% IQR [1-8], p<0.001). We analyzed the correlations between mono-blasts/CD45+ as a continuous variable and baseline demographic, clinical and genetic variables. Higher white blood cell count (WBC, p=0.001), presence of TET2 (p=0.003), N/KRAS (p=0.026), and ASXL1 mutations (p=0.035) significantly correlated with increasing proportion of mono-blasts, while this fraction was similar across ELN22 (p=0.27) or mPRS (p=0.19) categories. Higher mono-blasts/CD45+ significantly and negatively influenced the odds of achieving complete remission (CR) in both univariable (OR 0.99 95%CI [0.98-1.00], p=0.013) and multivariable models (OR 0.83 95%CI [0.72-0.93], p=0.006) accounting for Log10(WBC) (OR 0.21 95%CI [0.05-0.70], p=0.019), age (p=0.2), and mPRS classifier (p=0.05). Substituting mPRS for ELN2022 led to similar results, while FAB M4/5 status did not influence response (p=0.3). With a median follow-up of 60.0 months, median overall survival (OS) in the cohort was 20.2 IQR [9.1-68.1] months. As a continuous variable, a higher proportion of mono-blasts/CD45+ adversely impacted OS in univariable (HR 1.03 95%CI [1.01-1.05], p=0.005) and in multivariable (HR 1.02 95%CI [1.01-1.04], p=0.02) analysis encompassing age (p=0.04), Log10(WBC) (p=0.07) and mPRS (p=0.12). Maximally selected rank statistics identified 10% as the optimal cutoff to dichotomize mono-blasts/CD45+ in our cohort, with 34 (40%) mono-blastshigh and 52 (60%) mono-blastslow pts. There were no significant differences in ELN 2022 or mPRS genetic risk between these groups. Twelve (20%) of 60 non-FAB-M4/5 pts were reclassified as mono-blastshigh. Mono-blastshigh pts displayed lower rates of CR (4/28 vs 19/43, p=0.01). The mono-blastshigh status was associated with poorer OS (median 10.3 IQR [8.2-37.4] vs. 27.6 IQR [13.0-NR] months, p=0.007), and remained an independent predictor (HR 2.1, 95%CI [1.2-3.55], p=0.045) from WBC (p=0.060) and mPRS (p=0.11) in multivariate analysis. Conclusion: In a single-center cohort of AML pts treated with frontline Ven-Aza, the presence ≥10% of mono-blasts in CD45+ cells by MFC predicted poorer CR rate and OS independently of genetics. MFC outperformed FAB classification to identify this independent prognostic contribution of monocytic differentiation. Our findings require independent validation but may guide the identification of high-risk pts and instruct the design of trials investigating alternative frontline strategies.

Authors

Institutions

Publication Details

Journal
Blood
Published
2024-11-05
DOI
https://doi.org/10.1182/blood-2024-203353
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic Significance of Monocytic-like Phenotype in AML Patients Treated with Venetoclax and Azacytidine

Raphaël Itzykson, Reinaldo Dal Bello, Clémentine Chauvel, Emmanuelle Clappier et al.
4 links
Blood
Multiple Myeloma Research and Treatments
article

Prognostic Significance of Monocytic-like Phenotype in AML Patients Treated with Venetoclax and Azacytidine

Raphaël Itzykson, Reinaldo Dal Bello, Clémentine Chauvel, Emmanuelle Clappier, Matthieu Duchmann, Marie Sébert, Loréa Aguinaga, Arij Cheffai, Lin‐Pierre Zhao, Lauren Barette, Pierre Fenaux, Pierre Lemaire, Lionel Adès, Stéphanie Mathis, Typhaine Dumas-Rivero
article en

Abstract

Context: The combination of hypomethylating agents (HMA) and venetoclax (Ven) is the standard care for unfit AML patients (pts). Döhner et al. proposed a 4-gene (N/KRAS, FLT3-ITD, TP53) molecular prognostic risk signature (mPRS) pts outperforming ELN22 in categorizing Ven-HMA treated pts into 3 prognostic groups (Döhner et al. ASH 2022). Conflicting data have raised the possibility that monocytic differentiation of AML blasts may induce resistance to Ven-HMA (Pei et al. Cancer Discov. 2020; Waclawiczek et al. Cancer Discov. 2023). Moreover, whether monocytic differentiation influences outcomes independently of gene mutations remains unaddressed. Objective: To explore the prognostic impact of monocytic differentiation accounting for mPRS in a single-center cohort of AML pts treated with Ven-Azacytidine (Aza). Methods & Results: We included 86 newly diagnosed AML pts sequentially accrued to our registry (NCT05326919) who underwent morphologic, cytogenetic, genomic, and multiparameter flow cytometry (MFC)-based phenotypic assessments, and who received Ven-Aza as frontline therapy between Jan 2017 and Jan 2024. Median age was 73 IQR [69, 77] years and 26 (30%) had a morphological diagnosis of monocytic AML (FAB 4/5). Most pts (75, 87%) were classified as ELN 2022 adverse risk, while mPRS classified 36 (42%), 24 (28%) and 26 (30%) pts as higher, intermediate and lower benefit respectively. Monocytic blasts (mono-blasts) were defined as SSClow-int/CD45low/+ blasts expressing ≥2 monocytic markers among CD4, CD36 and CD64. Additional markers (CD11b, CD14) were available in 42 (49%) and used in a confirmatory subanalysis. Expectedly, the proportion of mono-blasts among CD45+ cells (referred as mono-blasts/CD45+) was higher in FAB M4/5 AMLs than in non-M4/5 AMLs (17% IQR [11-28] vs 3% IQR [1-8], p<0.001). We analyzed the correlations between mono-blasts/CD45+ as a continuous variable and baseline demographic, clinical and genetic variables. Higher white blood cell count (WBC, p=0.001), presence of TET2 (p=0.003), N/KRAS (p=0.026), and ASXL1 mutations (p=0.035) significantly correlated with increasing proportion of mono-blasts, while this fraction was similar across ELN22 (p=0.27) or mPRS (p=0.19) categories. Higher mono-blasts/CD45+ significantly and negatively influenced the odds of achieving complete remission (CR) in both univariable (OR 0.99 95%CI [0.98-1.00], p=0.013) and multivariable models (OR 0.83 95%CI [0.72-0.93], p=0.006) accounting for Log10(WBC) (OR 0.21 95%CI [0.05-0.70], p=0.019), age (p=0.2), and mPRS classifier (p=0.05). Substituting mPRS for ELN2022 led to similar results, while FAB M4/5 status did not influence response (p=0.3). With a median follow-up of 60.0 months, median overall survival (OS) in the cohort was 20.2 IQR [9.1-68.1] months. As a continuous variable, a higher proportion of mono-blasts/CD45+ adversely impacted OS in univariable (HR 1.03 95%CI [1.01-1.05], p=0.005) and in multivariable (HR 1.02 95%CI [1.01-1.04], p=0.02) analysis encompassing age (p=0.04), Log10(WBC) (p=0.07) and mPRS (p=0.12). Maximally selected rank statistics identified 10% as the optimal cutoff to dichotomize mono-blasts/CD45+ in our cohort, with 34 (40%) mono-blastshigh and 52 (60%) mono-blastslow pts. There were no significant differences in ELN 2022 or mPRS genetic risk between these groups. Twelve (20%) of 60 non-FAB-M4/5 pts were reclassified as mono-blastshigh. Mono-blastshigh pts displayed lower rates of CR (4/28 vs 19/43, p=0.01). The mono-blastshigh status was associated with poorer OS (median 10.3 IQR [8.2-37.4] vs. 27.6 IQR [13.0-NR] months, p=0.007), and remained an independent predictor (HR 2.1, 95%CI [1.2-3.55], p=0.045) from WBC (p=0.060) and mPRS (p=0.11) in multivariate analysis. Conclusion: In a single-center cohort of AML pts treated with frontline Ven-Aza, the presence ≥10% of mono-blasts in CD45+ cells by MFC predicted poorer CR rate and OS independently of genetics. MFC outperformed FAB classification to identify this independent prognostic contribution of monocytic differentiation. Our findings require independent validation but may guide the identification of high-risk pts and instruct the design of trials investigating alternative frontline strategies.

BloodVol. 144(Supplement 1)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR), Assistance Publique – Hôpitaux de Paris (FR), Hôpital Saint-Louis (FR), Institut de recherche Saint-Louis (FR)
Good health and well-being
Openalex Percentile: Top 63%
Multiple Myeloma Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.