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Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers.

Scientific reports - 23 Feb 2022

Farinella Federica, Merone Mario, Bacco Luca, Capirchio Adriano, Ciccozzi Massimo, Caligiore Daniele

Abstract excerpt

Ovarian cancer is one of the most common gynecological malignancies, ranking third after cervical and uterine cancer. High-grade serous ovarian cancer (HGSOC) is one of the most aggressive subtype, and the late onset of its symptoms leads in most cases to an unfavourable prognosis. Current predictive algorithms used to estimate the risk of having Ovarian Cancer fail to provide sufficient sensitivity and...

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Identifiers

PMID: 35197484
DOI: 10.1038/s41598-022-06788-2
PMCID: PMC8866540

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