Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis

Abstract Prostate cancer (PCa) diagnosis remains challenging due to overlapping clinical features with benign prostatic hyperplasia (BPH) and limitations of existing diagnostic tools like PSA tests, which yield high false-positive rates. This study investigates the potential of microRNA (miRNA) biom...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Shweta Singh, Abhay Kumar Pathak, Sukhad Kural, Lalit Kumar, Madan Gopal Bhardwaj, Mahima Yadav, Sameer Trivedi, Parimal Das, Manjari Gupta, Garima Jain
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Subjects:
Liquid biopsy
Random forest
Prostate cancer
miRNAs
Biomarker
Cancer diagnostics
Online Access:https://doi.org/10.1038/s41598-025-99754-7

Internet

https://doi.org/10.1038/s41598-025-99754-7

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