Evidence map›Paper›PMID 41874654›Full record

ArticleCancer immunology, immunotherapy : CII2026

Heterogeneity and prognostic significance of mast cell subsets in the tumor microenvironment of prostate cancer.

Ruizhe Fang, Shuyang Zhao, Minggui Si, Yinshi Zhang, Ruicong Xu, Jingjia Li

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 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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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ruizhe Fang *Department of Urology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Shuyang Zhao *College of Pharmacy, Harbin Medical University, Harbin, 150081, China.
Minggui SiDepartment of Urology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Yinshi ZhangDepartment of Urology, Jilin Hospital of Beijing Anzhen Affiliated Hospital of Capital Medical University, Changchun, 130022, China.
Ruicong XuDepartment of Urology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Jingjia LiDepartment of Urology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. 8558940@qq.com.

Funding

Excellent youth project of the Fourth Affiliated Hospital of Harbin Medical University HYDSYYXQN2023004
6 · The paper itself

Abstract

backgroundProstate cancer (PC) is one of the malignant tumors with high incidence and mortality worldwide in men. Immune cells in the tumor microenvironment (TME), particularly mast cells, play important roles in tumor progression and prognosis. However, the dual roles of mast cells in PC have not been fully elucidated.

methodsIn this study, single-cell RNA sequencing (scRNA-seq), bulk RNA sequencing, and bioinformatics analyses were performed to investigate the heterogeneity of mast cell subsets in the TME of PC and their association with prognosis. Single-cell data from 39 PC tumor samples were analyzed, and prognostic prediction was validated using datasets including HMU, TCGA, and MSKCC cohorts. Non-negative matrix factorization was applied to cluster mast cell subsets, followed by analyses of subset-specific gene markers, transcription factor activity, and biological pathways. Survival analysis and ROC curve evaluation were conducted to assess prognostic value.

resultsMast cells in the TME of PC were classified into two distinct subsets, each characterized by unique gene markers and functional pathways. Mast cell1 was highly associated with pro-tumorigenic pathways, whereas mast cell2 predominantly exhibited antitumor immune regulatory properties. High expression of mast cell1 signatures was correlated with poorer survival outcomes, while high expression of mast cell2 signatures was associated with better survival. Key marker genes such as BIRC3 and FOS were identified as potential prognostic factors, high BIRC3 expression was significantly associated with unfavorable prognosis, whereas high FOS expression correlated with favorable prognosis.

conclusionThis study revealed functional heterogeneity of mast cell subsets in the TME of PC and their distinct roles in tumor progression. The identification of subset-specific marker genes provides novel molecular targets for clinical diagnosis, prognostic prediction, and personalized therapy in PC.

Indexed as

Mast CellsProstatic NeoplasmsTumor MicroenvironmentBiomarkers, TumorGene Expression Regulation, NeoplasticHumansMalePrognosisBiomarkers, TumorMarker genesMast cellsPrognosisProstate cancerTumor microenvironment

Identifiers

PMID41874654
PMCPMC13013976

What Socratic holds

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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 Socratic graph.