Clinical actionability of triaging DNA mismatch repair deficient colorectal cancer from biopsy samples using deep learning.

Journal: EBioMedicine
PMID:

Abstract

BACKGROUND: We aimed to develop a deep learning (DL) model to predict DNA mismatch repair (MMR) status in colorectal cancers (CRC) based on hematoxylin and eosin-stained whole-slide images (WSIs) and assess its clinical applicability.

Authors

  • Wu Jiang
    Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou, P.R. China.
  • Wei-Jian Mei
    Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, PR China; Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
  • Shuo-Yu Xu
    Bio-totem Pte Ltd, Foshan, PR China; Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
  • Yi-Hong Ling
    Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, PR China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
  • Wei-Rong Li
    Department of General Surgery, Guangzhou First People's Hospital, Guangzhou, PR China.
  • Jin-Bo Kuang
    Bio-totem Pte Ltd, Foshan, PR China.
  • Hao-Sen Li
    Bio-totem Pte Ltd, Foshan, PR China.
  • Hui Hui
    Department of Emergency, The First Medical Center to Chinese People's Liberation Army General Hospital, Beijing, China.
  • Ji-Bin Li
    Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Mu-Yan Cai
    Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, PR China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
  • Zhi-Zhong Pan
    Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou, P.R. China.
  • Hui-Zhong Zhang
    Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, PR China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, PR China. Electronic address: zhanghuizh@sysucc.org.cn.
  • Li Li
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
  • Pei-Rong Ding
    Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, PR China; Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, PR China. Electronic address: dingpr@sysucc.org.cn.