Evidence map›Paper›PMID 38877472›Full record

ArticleBMC cancer2024

Identification of the cytoplasmic DNA-Sensing cGAS-STING pathway-mediated gene signatures and molecular subtypes in prostate cancer.

Jie Yang, Zihan Xu, Weitao Zheng, Yifan Li, Qiang Wei, Lu Yang

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Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jie Yang *Department of Urology, West China Hospital of Sichuan University, Sichuan Province, Chengdu, China.
Zihan Xu *China Agricultural University, Beijing, 100083, China.
Weitao Zheng *Department of Urology, West China Hospital of Sichuan University, Sichuan Province, Chengdu, China.
Yifan LiDepartment of Urology, West China Hospital of Sichuan University, Sichuan Province, Chengdu, China.
Qiang WeiDepartment of Urology, West China Hospital of Sichuan University, Sichuan Province, Chengdu, China. wq933@hotmail.com.
Lu YangDepartment of Urology, West China Hospital of Sichuan University, Sichuan Province, Chengdu, China. wycleflue@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering the age relevance of prostate cancer (PCa) and the involvement of the cGAS-STING pathway in aging and cancer, we aim to classify PCa into distinct molecular subtypes and identify key genes from the novel perspective of the cGAS-STING pathway. It is of significance to guide personalized intervention of cancer-targeting therapy based on genetic evidence.

methodsThe 430 patients with PCa from the TCGA database were included. We integrated 29 key genes involved in cGAS-STING pathway and analyzed differentially expressed genes and biochemical recurrence (BCR)-free survival-related genes. The assessments of tumor stemness and heterogeneity and tumor microenvironment (TME) were conducted to reveal potential mechanisms.

resultsPCa patients were classified into two distinct subtypes using AURKB, TREX1, and STAT6, and subtype 1 had a worse prognosis than subtype 2 (HR: 21.19, p < 0.001). The findings were validated in the MSKCC2010 cohort. Among subtype 1 and subtype 2, the top ten mutation genes were MUC5B, DNAH9, SLC5A10, ZNF462, USP31, SIPA1L3, PLEC, HRAS, MYOM1, and ITGB6. Gene set variation analysis revealed a high enrichment of the E2F target in subtype 1, and gene set enrichment analysis showed significant enrichment of base excision repair, cell cycle, and DNA replication in subtype 1. TME evaluation indicated that subtype 1 had a significantly higher level of T cells follicular helper and a lower level of plasma cells than subtype 2.

conclusionsThe molecular subtypes mediated by the cGAS-STING pathway and the genetic risk score may aid in identifying potentially high-risk PCa patients who may benefit from pharmacologic therapies targeting the cGAS-STING pathway.

Indexed as

Membrane ProteinsNucleotidyltransferasesProstatic NeoplasmsSignal TransductionAgedBiomarkers, TumorCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMutationPrognosisSTING ProteinTranscriptomeTumor MicroenvironmentBiomarkers, TumorcGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseMembrane ProteinsNucleotidyltransferasesSTING1 protein, humanSTING ProteinBiochemical recurrencecGAS-STING pathwayGene signatureMolecular subtypeProstate cancer

Identifiers

PMID38877472
PMCPMC11179326

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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.