ArticleScience China. Life sciences2024
The genomic and immunogenomic landscape of mechanics pathway informs clinical prognosis and response to mechanotherapy.
Article in Science China. Life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Multi-omics technologies: Novel tools and methods for assessing nerve injury and regeneration.Neural regeneration research · 2026Article
- Hemodynamics in heart: the critical role of hemodynamics in myocardial tissue development and regenerative remodeling.International journal of cardiology. Heart & vasculature · 2026Review
- PRR11 as a newly identified oncogenic driver in retinoblastoma.Science China. Life sciences · 2026Article
- Loss of biomechanical features reveals smooth muscle disruption and disease progression in prostate cancer.Cancer cell international · 2026Article
- Preliminary construction and validation of a prognostic prediction model for cervical cancer based on tumor mechanics-related genes.Frontiers in oncology · 2026Article
- Piezo1 in neuropathic pain: a putative mechanotransduction hub and underlying mechanisms.Frontiers in molecular neuroscience · 2026Review
- Advances in Multi-Omics Research on Biomarkers of Intrahepatic Cholangiocarcinoma.Current issues in molecular biology · 2025Review
- Identification the Tumor Mechanics-Related Biomarkers in Gastric Cancer Patients Based on Bioinformatics and Machine Learning.International journal of general medicine · 2025Article
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Authors and funding
14 authors.
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Abstract
Mechanics shape cell and tissue plasticity and maintain their homeostasis. In cancers, mechanical signals regulate cancer hallmarks via mechanotransduction pathways, such as proliferation, metastasis and metabolic reprogramming. However, comprehensive characterization of mechanotransduction pathway genes and their clinical relevance across different cancer types remains untouched. Herein, we systematically portrayed the alterations of mechanotransduction pathway genes across 31 cancer types using The Cancer Genome Atlas (TCGA) databases. All the cancer types could be categorized into 6 subtypes based upon the transcriptional pattern of mechanics pathway genes. Each subtype has its own unique molecular expression pattern, mutation landscapes, immune infiltrates, and patient clinical outcome. We further found that the responses of two subtypes of cancers, one with the optimal outcome and the other with the worst prognosis, to a classical mechanotherapeutic agent (Fasudil, RhoA/ROCK inhibitor) were totally different, indicating that our cancer stratification system based upon mechanotransduction pathway genes could inform clinical responses of patients to mechanotherapeutic agents. Collectively, our study provides a novel pan-cancer landscape of the mechanotransduction pathways and underscores its potential clinical significance in the prediction of clinical prognosis and therapeutic responses to mechanotherapy among cancer patients.
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