Evidence map›Paper›PMID 42239881›Full record

ArticleFrontiers in oncology2026

Discovery and validation of a robust 11-gene prognostic signature via integrative multi-omics profiling in VD-CAG-treated non-M3 AML.

Jirui Tang, Kun Yang, Ying Zhang, Yuqian Tang, Yankun Yang, Qin Li, Xuemei Wang, Yuping Gong

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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jirui TangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Kun YangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Ying ZhangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yuqian TangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yankun YangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Qin LiDepartment of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xuemei WangDepartment of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yuping GongDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: While the venetoclax-based VD-CAG regimen has shown promising efficacy in acute myeloid leukemia (AML), its underlying molecular response mechanisms remain poorly understood, and robust prognostic biomarkers for non-M3 AML treated with this regimen are lacking. This study aimed to elucidate the molecular alterations associated with VD-CAG treatment response, and to identify and validate robust prognostic biomarkers to improve risk stratification for non-M3 AML patients. Methods: This study enrolled 15 non-M3 AML patients receiving VD-CAG induction therapy, and conducted integrative multi-omics profiling of their bone marrow samples: RNA sequencing was performed on 10 pairs of pre- and post-treatment samples, while data-independent acquisition (DIA) proteomics was applied to another 5 paired samples. Weighted gene co-expression network analysis (WGCNA) was used to identify gene modules correlated with composite complete remission. A prognostic signature was further derived using Least Absolute Shrinkage and Selection Operator (LASSO) regression, with the TCGA-LAML cohort as the discovery set and the independent Beat AML cohort as the external validation set. Results: Transcriptomic analysis revealed that differentially expressed genes after VD-CAG treatment were mainly enriched in MAPK signaling and cell adhesion pathways. WGCNA identified five gene modules significantly correlated with treatment remission. We finally constructed a robust 11-gene prognostic signature ( Conclusions: This study reveals the molecular alterations associated with VD-CAG treatment in non-M3 AML, and provides a validated 11-gene prognostic signature. These findings enhance our understanding of the response mechanisms of the VD-CAG regimen, and offer a tool to improve prognostic stratification and clinical decision-making for non-M3 AML patients.

Indexed as

acute myeloid leukemiaoverall survivalprognostic signaturetherapeutic responseVD-CAG

Identifiers

PMID42239881
PMCPMC13225962

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.