Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

High expression of COL6A1 predicts poor prognosis and response to immunotherapy in bladder cancer

6 Dec 2022

Abstract excerpt

Extracellular matrix (ECM), as an important framework for tumor microenvironment, plays important roles in many critical processes, including tumor growth, invasion, immune suppression, and drug resistance. However, few biomarkers of ECM-related genes (ERGs) have been developed for prognosis prediction and clinical treatment of bladder cancer (BC) patients. Bioinformatics analysis and LC-MS/MS analysis were used...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bladder and Urothelial Cancer Treatments
Share to Cancer Immunotherapy and Biomarkers
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36474424
DOI: 10.1080/15384101.2022.2154551

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

High expression of COL6A1 predicts poor prognosis and response to immunotherapy in bladder cancerPMID 36474424Read ↗

Extracellular matrix-related genes play an important role in the progression of NMIBC to MIBC: a bioinformatics analysis studySemantic proximity Read ↗

Collagen type VI‑α1 and 2 repress the proliferation, migration and invasion of bladder cancer cellsSemantic proximity Read ↗

Identification of a tumor microenvironment-related seven-gene signature for predicting prognosis in bladder cancerSemantic proximity Read ↗

Identification of prognostic biomarkers associated with stromal cell infiltration in muscle-invasive bladder cancer by bioinformatics analyses.Semantic proximity Read ↗

Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinical analysis validationSemantic proximity Read ↗

The Role of COL5A2 in Patients With Muscle-Invasive Bladder Cancer: A Bioinformatics Analysis of Public Datasets Involving 787 Subjects and 29 Cell LinesSemantic proximity Read ↗

Development and validation of cancer-associated fibroblasts-related gene landscape in prognosis and immune microenvironment of bladder cancerSemantic proximity Read ↗

Prediction of Prognosis and Recurrence of Bladder Cancer by ECM-Related GenesSemantic proximity Read ↗

Molecular Landscape of Bladder Cancer: Key Genes, Transcription Factors, and Drug InteractionsSemantic proximity Read ↗

Collagen stiffness promoted non-muscle-invasive bladder cancer progression to muscle-invasive bladder cancerSemantic proximity Read ↗

Key molecules in bladder cancer affect patient prognosis and immunotherapy efficacy: further exploration for CNTN1 and EMP1Semantic proximity Read ↗

Machine learning prediction models based on hub genes related to immune phenotypes in muscle-invasive bladder cancer treated with immune checkpoint blockadeSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.