Rapid Screening Using Pathomorphologic Interpretation to Detect BRAFV600E Mutation and Microsatellite Instability in Colorectal Cancer.

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Abstract

Rapid decision-making is essential in precision medicine for initiating molecular targeted therapy for patients with cancer. This study aimed to extract pathomorphologic features that enable the accurate prediction of genetic abnormalities in cancer from hematoxylin and eosin images using deep learning (DL).

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Journal

Journal ID (iso-abbrev): Clin Cancer Res

Title: Clinical cancer research : an official journal of the American Association for Cancer Research

Publisher: American Association for Cancer Research (AACR)

ISSN (Electronic): 1557-3265

ISSN (Print): 1078-0432

Publication date (Electronic): Jun 13 2022

Volume: 28

Issue: 12

Affiliations

[1 ] Division of Pathology, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Kashiwa, Japan.

[2 ] Department of Molecular Pathology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.

[3 ] Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center, Hospital East, Kashiwa, Japan.

[4 ] Genomedia Inc., Tokyo, Japan.

[5 ] PAPPARE Corp., Tokyo, Japan.

[6 ] Cloud Ace, Inc., Tokyo, Japan.

[7 ] Department of Gastroenterology, Hepatobiliary and Pancreatic Medical Oncology Division, Kanagawa Cancer Center, Yokohama, Japan.

[8 ] Department of Cancer Center, Hokkaido University Hospital, Sapporo, Japan.

[9 ] Department of Clinical Oncology, Aichi Cancer Center Hospital, Aichi, Japan.

[10 ] Department of Gastroenterology, Saitama Cancer Center, Saitama, Japan.

[11 ] Department of Gastrointestinal and Medical Oncology, National Hospital Organization, Kyushu Cancer Center, Fukuoka, Japan.

Article

Publisher Item ID: 699286

DOI: 10.1158/1078-0432.CCR-21-4391

PubMed ID: 35363302

SO-VID: 4afe29b9-789a-44c2-973f-74e59bd2ecfd

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