Collagen Gene Signature Predicts Survival and Guides Prognosis in Bladder Cancer

Strategic Insights -

Researchers from Sun Yat-Sen University have conducted a study to examine the expression of collagen genes in bladder cancer and develop a nomogram to predict overall survival for patients diagnosed with the disease. The study aimed to investigate the correlation between collagen genes and overall survival in bladder cancer patients using the Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database. The research resulted in the development of a favorable prognostic model using collagen genes, which can serve as potential biomarkers for forecasting the prognosis of bladder cancer.

Key Takeaways:

  • The study investigated the expression of collagen genes in bladder cancer and found that certain collagen genes, including P3H4, C1QTNF6, COLGALT1, COL4A1, COL14A1, RGCC, PPARG, SCX, and age, were significantly associated with lymph node-positive bladder cancer patients.
  • The researchers developed a nomogram incorporating the mentioned collagen genes and age, which showed favorable predictive capability in terms of area under the receiver operator characteristic curve, calibration curve, and decision curve analysis.
  • The study elucidated the correlation between collagen genes and tumor mutation burden and immune characteristics, which can provide valuable insights for future research.
  • The nomogram can be used to predict the overall survival of bladder cancer patients and guide prognosis.
  • The study provides new evidence on the importance of collagen in the tumor microenvironment and its potential role as a biomarker for bladder cancer prognosis.

Statistics:

  • The study employed a total of 566 samples from the TCGA database and the GEO database, with 401 samples used for training and 165 samples used for validation.
  • The researchers used Cox regression analysis to investigate the correlation between collagen genes assay and overall survival.
  • The nomogram showed favorable predictive capability in terms of area under the receiver operator characteristic curve, with an AUC value of 0.83.
  • The calibration curve and decision curve analysis also showed favorable performance of the nomogram.
  • The study found that 5 collagen genes, including C1QTNF6, COL4A1, COL14A1, RGCC, and P3H4, were significantly associated with lymph node-positive bladder cancer patients.

Sources:

  • Discover Oncology, 2025;16(1):1479.
  • Journal Article: Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer.
  • Publisher: Springer, One New York Plaza, Suite 4600, New York, NY, United States.