Evidence map›Paper›PMID 39347941›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2025

Construction of M2 macrophage-related gene signature for predicting prognosis and revealing different immunotherapy response in bladder cancer patients.

Zhouting Tuo, Mingzhu Gao, Chao Jiang, Duobing Zhang, Xin Chen, Zhiwei Jiang, Jinyou Wang

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 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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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhouting Tuo *Department of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Mingzhu Gao *Department of Oncology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Chao Jiang *Department of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Duobing ZhangDepartment of Urology, Suzhou Hospital of Anhui Medical University, Suzhou, 234000, China.
Xin ChenDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Zhiwei JiangDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. jiangzhiwei172@gmail.com.ORCID http://orcid.org/0009-0008-7399-1577
Jinyou WangDepartment of Urology, Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. jinyouwang@126.com.ORCID http://orcid.org/0000-0001-7545-4240

Funding

Suzhou Science and Technology Key Project SZSKJJZC027the Research fund of Anhui Institute of Translational Medicine 2021zhyx-C59
6 · The paper itself

Abstract

backgroundBladder cancer development is closely associated with the dynamic interaction and communication between M2 macrophages and tumor cells. However, specific biomarkers for targeting M2 macrophages in immunotherapy remain limited and require further investigation.

methodsIn this study, we identified key co-expressed genes in M2 macrophages and developed gene signatures to predict prognosis and immunotherapy response in patients. Public database provided the bioinformatics data used in the analysis. We created and verified an M2 macrophage-related gene signature in these datasets using Lasso-Cox analysis.

resultsThe predictive value and immunological functions of our risk model were examined in bladder cancer patients, and 158 genes were found to be significantly positively correlated with M2 macrophages. Moreover, we identified two molecular subgroups of bladder cancer with markedly different immunological profiles and clinical prognoses. The five key risk genes identified in this model were validated, including CALU, ECM1, LRP1, CYTL1, and CCDC102B, demonstrating the model can accurately predict prognosis and identify unique responses to immunotherapy in patients with bladder cancer.

conclusionsIn summary, we constructed and validated a five-gene signature related to M2 macrophages, which shows strong potential for forecasting bladder cancer prognosis and immunotherapy response.

Indexed as

ImmunotherapyMacrophagesTranscriptomeUrinary Bladder NeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingHumansMalePrognosisBiomarkers, TumorBladder cancerGene signatureImmunotherapy responseM2 macrophage

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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.