Integrating multi-cohort machine learning and clinical sample validation to explore peripheral blood mRNA diagnostic biomarkers for prostate cancer

Background The global incidence of prostate cancer (PCa) has been rising annually, and early diagnosis and treatment remain pivotal for improving therapeutic outcomes and patient prognosis. Concurrently, advancements in liquid biopsy technology have facilitated disease diagnosis and monitoring, with...

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Veröffentlicht in:	Cancer cell international Jg. 25; H. 1; S. 158 - 11
Hauptverfasser:	Zhong, Xingyu, Yang, Yuxuan, He, Haodong, Xiong, Yifan, Zhong, Mingliang, Wang, Shaogang, Xia, Qidong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 22.04.2025 Springer Nature B.V BMC
Schlagworte:	Algorithms Antigens Biomarker Biomarkers Biomedical and Life Sciences Biomedicine Biopsy Cancer Research Cell Biology Cell-free RNA Circulating Biomarkers for Early Cancer Detection and Treatment Datasets Diagnosis Disease DNA methylation Epithelial cells Feature selection Gene expression Hyperplasia KCNQ5 protein Learning algorithms Liquid biopsy Machine learning Medical prognosis Medical screening MicroRNAs mRNA Patients Peripheral blood Plasma Potassium channels (voltage-gated) Precision diagnostic Prediction models Prostate cancer Prostate-specific antigen Urine United States > US China Liquid biopsy Biomarker Cell-free RNA Prostate cancer Precision diagnostic
ISSN:	1475-2867, 1475-2867
Online-Zugang:	Volltext
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