Evidence map›Paper›PMID 41559633›Full record

ArticleCancer cell international2026

Loss of biomechanical features reveals smooth muscle disruption and disease progression in prostate cancer.

Yu Luo, Chengcheng Wei, Zixiong Jiang, Zhangcheng Liu, Jingke He, Liangdong Song, Wenjun Zhou, Kun Han, Yunfan Li, Jindong Zhang and 4 more

Abstract read
In one paragraph

Article in Cancer cell international, 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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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Yu LuoDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Chengcheng WeiDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Zixiong JiangInternational Medical College, Chongqing Medical University, Chongqing, China.
Zhangcheng LiuDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jingke HeDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Liangdong SongDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Wenjun ZhouDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Kun HanDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yunfan LiDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jindong ZhangDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xiaoqi DengDepartment of Nephrology, Zigong Fourth People's Hospital, Zigong, 643000, Sichuan Province, China. dengxiaoqi999@163.com.
Jue WangDepartment of Urology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan Province, China. 441574157@qq.com.
Shuai SuDepartment of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, 400037, China. sushuai930809@163.com.
Delin WangDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. delinwang@aliyun.com.

Funding

Doctoral Program of the First Affiliated Hospital of Chongqing Medical University CYYY- BSYJSKYCXXM202421Key Project of Chongqing Technology Innovation and Application Development Special Project CSTB2023TIAD-KPX0053Youth Medical Research and Innovation Project of Sichuan Medical Association Q21011
6 · The paper itself

Abstract

backgroundBiomechanical features show notable heterogeneity in tumor risk stratification, yet their role in prostate cancer (PCa) progression remains unclear. This study aimed to elucidate the role and underlying mechanism of biomechanical features in PCa progression.

methodsWe integrated transcriptomic data from 1693 PCa patients across ten public cohorts and single-cell RNA sequencing (scRNA-seq) data from 19 PCa samples to define biomechanical subtypes. RT-qPCR was used to assess the impact of mechanical stimulation on malignant phenotypes. Biomechanical regulatory genes (BMRGs) were identified using consensus clustering and Weighted Gene Co-expression Network Analysis (WGCNA). A prognostic index (MRPX) was developed using machine learning. Immune infiltration and drug sensitivity analyses were conducted to assess the clinical utility of MRPX in guiding precision therapy. A co-culture model was employed to assess the impact of COL5A1-positive fibroblasts on the metastatic potential of PCa cells.

resultsLoss of biomechanical features was associated with smooth muscle disruption and PCa progression. In vitro mechanical stimulation suppressed EMT-related gene expression in PC-3 cells. WGCNA identified 137 hub BMRGs, from which MRPX was constructed. MRPX demonstrated strong generalizability in predicting PCa progression and effectively stratified patient responses to both immunotherapy and chemotherapy. Elevated MRPX was associated with smooth muscle disruption, which linked MRPX to extracapsular extension (ECE) and enhanced metastatic potential. Mechanistically, COL5A1 was closely linked to PCa progression, and CellChat analysis indicated that COL5A1⁺ fibroblasts contribute to shaping an aggressive tumor microenvironment. Co-culture experiments confirmed a marked upregulation of COL5A1 in cancer-associated fibroblasts (CAFs). Furthermore, silencing of COL5A1 significantly attenuated the ability of CAFs to promote the metastatic potential of PC-3 cells.

conclusionsThis study establishes MRPX as a robust biomarker for prognostic stratification and therapeutic guidance in PCa, offering new insights into biomechanical regulation of tumor progression and providing a potential avenue for precision oncology.

Indexed as

Biomechanical featureMachine learningMulti-omicsProstate cancerRisk stratification

Identifiers

PMID41559633
PMCPMC12903524

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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.