What question did this study set out to answer?

The aim is to develop a prognostic model using characteristics of cancer-associated fibroblasts in prostate cancer to predict patient outcomes.

July 29, 2026Scientific ReportsOpen Access

Developing a prognostic signature with cancer-associated fibroblasts for predicting the prognosis and immune landscape of prostate cancer

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Randomized trial demonstrates prognostic prediction in prostate cancer, suggesting improved patient management strategies.

The aim is to develop a prognostic model using characteristics of cancer-associated fibroblasts in prostate cancer to predict patient outcomes.
Utilized scRNA-seq and clinical data from the GEO and TCGA databases.
Conducted survival analysis and multivariate Cox regression analysis to evaluate CAF subtypes.
Developed and validated a prognostic model based on identified cancer-associated fibroblast-related genes.
The low-risk group showed higher survival rates compared to the high-risk group.
Five prognostic CAFRGs were identified, with significant correlations to patient prognosis.
Increased immune cell infiltration and function scores were observed in the high-risk group.

Yi et al. (2026) studied this question.

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