Evidence map›Paper›PMID 42999584›Full record

ArticleTranslational andrology and urology2026

Comprehensive multi-omics analysis identifies molecular subtypes and AMH-dependent mechanisms driving DTX resistance in prostate cancer.

Liang Huang, Shusuan Jiang, Gongqian Zeng, Jun Gao, Hong Shan, Ke Huang

Abstract read
In one paragraph

Article in Translational andrology and urology, 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Liang HuangDepartment of Urology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China.
Shusuan JiangDepartment of Urology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China.
Gongqian ZengDepartment of Urology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China.
Jun GaoDepartment of Urology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China.
Hong ShanDepartment of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.
Ke HuangDepartment of Colorectal and Anorectal Surgery, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou Central Hospital, Zhuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer (PCa) remains one of the most prevalent malignancies and a leading cause of cancer-related mortality among men worldwide. Despite advancements in treatment, therapeutic resistance, particularly to docetaxel (DTX), significantly limits clinical efficacy and worsens patient outcomes. Methods: Transcriptomic profiles and matched clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were integrated for analysis. Differentially expressed genes linked to DTX resistance were screened to classify PCa patients into molecular subtypes. Bulk transcriptome-based drug sensitivity estimation and immune pathway enrichment analysis were performed to compare subtype-specific features. Single-cell transcriptomic data were further applied to resolve epithelial cell heterogeneity and interrogate the biological function of Results: Two discrete molecular subtypes (C1 and C2) were established based on DTX resistance-related gene signatures. The C1 subtype displayed an aggressive phenotype with shorter progression-free survival (PFS), unique mutational landscapes, and activated immunosuppressive pathways. Subtypes also showed divergent sensitivity to multiple anticancer agents. Single-cell results demonstrated that Conclusions: Collectively, these findings highlight the cellular and molecular heterogeneity associated with DTX resistance in PCa and provide new insights into the molecular characteristics of DTX resistance. These results may facilitate the identification of candidate biomarkers and potential therapeutic targets, although further experimental and clinical validation is required.

Indexed as

AMHdocetaxel resistance (DTX resistance)molecular subtypesProstate cancer (PCa)tumor microenvironment

Identifiers

PMID42999584
PMCPMC13743362

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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.