Evidence map›Paper›PMID 40670727›Full record

ArticleAnnals of hematology2025

Prognostic significance of angiogenesis-associated molecules and Immunologic characteristic in elderly patients with acute myeloid leukemia.

Can Chen, Yongfen Huang, Lingling Wang, Linlin Zhang, Jinbo Lu, Yuexin Cheng, Yuqing Miao

Abstract read
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Can ChenYancheng Clinical College, Xuzhou Medical University, Yancheng, 224006, China.
Yongfen HuangDepartment of Hematology, Yancheng No.1 People's Hospital, No. 166, Yulong West Road, Tinghu District, Yancheng, 224006, China.
Lingling WangDepartment of Hematology, Yancheng No.1 People's Hospital, No. 166, Yulong West Road, Tinghu District, Yancheng, 224006, China.
Linlin ZhangDepartment of Hematology, Yancheng No.1 People's Hospital, No. 166, Yulong West Road, Tinghu District, Yancheng, 224006, China.
Jinbo LuDepartment of Hematology, Yancheng No.1 People's Hospital, No. 166, Yulong West Road, Tinghu District, Yancheng, 224006, China.
Yuexin ChengDepartment of Hematology, Yancheng No.1 People's Hospital, No. 166, Yulong West Road, Tinghu District, Yancheng, 224006, China.
Yuqing MiaoDepartment of Hematology, Yancheng No.1 People's Hospital, No. 166, Yulong West Road, Tinghu District, Yancheng, 224006, China. miaomiaomyq@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeovascularization mechanisms are hyperactivated in tumors, leading to vascular dysfunction and contributing to tumor metastasis and growth. This study aims to comprehensively analyze angiogenesis-associated genes in relation to the prognosis of elderly patients with acute myeloid leukemia (AML).

methodsLeukemia gene expression data were obtained from the GSE37642 (training set) and TCGA_LAML (validation set) datasets. Angiogenesis-associated genes were identified using the GeneCards database. Univariate Cox regression and LASSO analyses were employed to identify angiogenesis-associated genes linked to AML prognosis. A prognostic signature was constructed based on the selected genes, and its biological functions were analyzed. Finally, we predicted AML drug sensitivity and evaluated differences in drug activity based on the prognostic signature.

resultsFive angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2. Kaplan-Meier analyses confirmed their prognostic value. A prognostic signature based on these genes demonstrated commendable efficacy in predicting patient outcomes. This signature was found to be an independent risk factor for AML and revealed distinct immune profiles. Furthermore, the signature was implicated in the tumor immune microenvironment, with high-risk patients exhibiting elevated levels of immune cell infiltration. Drug sensitivity analysis revealed negative correlations between FOXP1 and Daporinad, ABT737, and BI.2536, while SIRT2 showed positive correlations with ABT737, BI.2536, and ULK1_4989.

conclusionWe have constructed an angiogenesis-related gene prognostic signature that enriches the prognostic assessment system for AML and provides novel therapeutic directions for this disease.

Indexed as

Gene Expression Regulation, LeukemicLeukemia, Myeloid, AcuteNeovascularization, PathologicAgedAged, 80 and overAngiogenesisBiomarkers, TumorFemaleHumansMalePrognosisTumor MicroenvironmentBiomarkers, TumorAngiogenesis-related genesElderly patients with acute myeloid leukemiaPrognosisTumor microenvironment

Identifiers

PMID40670727
PMCPMC12334451

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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.