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Deep Learning for Detecting BRCA Mutations in High-Grade Ovarian Cancer Based on an Innovative Tumor Segmentation Method From Whole Slide Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc - 1 Nov 2023

Bourgade Raphaël, Rabilloud Noémie, Perennec Tanguy, Pécot Thierry, Garrec Céline, Guédon Alexis F, Delnatte Capucine, Bézieau Stéphane, Lespagnol Alexandra, de Tayrac Marie, Henno Sébastien, Sagan Christine, Toquet Claire, Mosnier Jean-François, Kammerer-Jacquet Solène-Florence, Loussouarn Delphine

Abstract excerpt

BRCA1 and BRCA2 genes play a crucial role in repairing DNA double-strand breaks through homologous recombination. Their mutations represent a significant proportion of homologous recombination deficiency and are a reliable effective predictor of sensitivity of high-grade ovarian cancer (HGOC) to poly(ADP-ribose) polymerase inhibitors. However, their testing by next-generation sequencing is costly and...

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BRCA1 Protein
BRCA2 Protein
Carcinoma, Ovarian Epithelial
Deep Learning

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Ovarian Neoplasms

Poly(ADP-ribose) Polymerase Inhibitors

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PMID: 37580018
DOI: 10.1016/j.modpat.2023.100304

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