Evidence map›Paper›PMID 40388565›Full record

ArticleMolecular oncology2025

Comprehensive omics-based classification system in adult patients with B-cell acute lymphoblastic leukemia.

Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang and 2 more

Abstract read
In one paragraph

Article in Molecular oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Age-Driven Genetic and Epigenetic Heterogeneity in B-ALL.International journal of molecular sciences · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yang SongState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID 0000-0002-2306-4184
Ting LiuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID 0009-0009-5738-2322
Qishan HaoState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Qiuyun FangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Xiaoyuan GongState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Yan LiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Zheng TianState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Hui WeiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Min WangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Jianxiang WangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID 0000-0001-9437-9151
Tao ChengState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID 0000-0002-5925-2769
Yingchang MiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID 0000-0002-5060-5070

Funding

China Foundation For Youth Entrepreneurship and Employment-Incaier Public Welfare Fund and CAMS Innovation Fund for Medical Sciences 2024-I2M-ZD-010National Key Research and Development Program of China 2019YFC0840605National Natural Science Foundation of China 82270190National Natural Science Foundation of China 82300267Tianjin Municipal Science and Technology Commission Grant 24ZXZSSS00250
6 · The paper itself

Abstract

B-cell acute lymphoblastic leukemia (B-ALL) is a highly heterogeneous disease with a challenging prognosis, particularly in adult patients. We enrolled 88 adult B-ALL patients with transcriptomic and mutation profiles for classification system identification, and a comprehensive system for B-ALL patients (COMBAT) was developed. COMBAT stratified patients into three cohorts: (1) COMBAT1, characterized by high stem/myeloid antigen expression, low immune infiltration, high infiltration of endothelial cells, and hypo-CIMP (CpG island methylator phenotype); (2) COMBAT2, defined as an inflamed subtype with immune exhaustion, moderate myeloid antigen expression, and hypo-CIMP; and (3) COMBAT3, marked by proliferative profiles with MYC pathway activation and hypomethylation at enhancer regions in patients characterized by CIMP. The molecular features of the three COMBATs were verified in two external cohorts, the GSE34861 (N = 194) and GSE66005 (N = 109) datasets. In univariate analysis, only COMBAT classification presented significance for OS, and patients of COMBAT3 presented significantly superior survival than COMBAT1/2 in Ph-negative ALL. Ph-negative ALL patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) in the COMBAT3 group showed better overall survival (OS) than those in the COMBAT1-2 groups (estimated 3-year OS: 100% vs. 65.6%, P = 0.034), suggesting a prognostic benefit of this subtype. In summary, the COMBAT system redefines the characteristics of adult B-ALL subtypes and guides the selection of allo-HSCT for Ph-negative patients.

Indexed as

GenomicsPrecursor B-Cell Lymphoblastic Leukemia-LymphomaAdolescentAdultAgedDNA MethylationFemaleGene Expression ProfilingHumansMaleMiddle AgedMutationPrognosisYoung AdultB‐cell acute lymphocytic leukemiahematopoietic stem cell transplantationmolecular classificationmulti‐omicstumor immune environment

Identifiers

PMID40388565
PMCPMC12688170

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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.