September 10, 2025Discover OncologyOpen Access

Identification and verification of exosome-related gene signature to predict the cancer status and prognosis of prostate cancer

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Discussion

This analysis identifies exosome-related differential genes associated with prostate cancer, suggesting their potential as non-invasive biomarkers.

Three exosome-related genes were significantly associated with prognosis, enhancing early detection of prostate cancer.
A total of 117 exosome-related differential genes were identified from RNA expression data in prostate cancer patients.
Weighted correlation network analysis provided insights into gene relationships and immunological infiltration in prostate cancer.
AQP2 and ZNF114 showed strong predictive value for prostate cancer status and prognosis based on patient data.

Wang et al. (2025) studied this question.

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This analysis identifies exosome-related differential genes associated with prostate cancer, suggesting their potential as non-invasive biomarkers.