Predicting <i>BRCA</i> mutation and stratifying targeted therapy response using multimodal learning: a multicenter study-Reference-Cited by-同舟云学术

Predicting BRCA mutation and stratifying targeted therapy response using multimodal learning: a multicenter study

Published:2024-09-11 Issue:1 Volume:56 Page:
ISSN:0785-3890
Container-title:Annals of Medicine
language:en
Short-container-title:Annals of Medicine

Author:

Li Yi¹²,Xiong Xiaomin¹²,Liu Xiaohua³,Xu Mengke²,Yang Boping⁴,Li Xiaoju⁵,Li Yu⁵,Lin Bo²,Xu Bo¹²^ORCID

Affiliation:

1. School of Medicine, Chongqing University, Chongqing, China

2. Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer, Chongqing University Cancer Hospital, Chongqing, China

3. Bioengineering College of Chongqing University, Chongqing, China

4. Department of General Gynecology, Women and Children’s Hospital of Chongqing Medical University, Chongqing Health Center for Women and Children, Chongqing, China

5. Department of Pathology, Chongqing University Cancer Hospital and School of Medicine, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

Chongqing Natural Science Foundation

Chongqing University Research Fund

Chongqing Technology Innovation and Application Development Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07853890.2024.2399759

Reference50 articles.

1. Identification of the breast cancer susceptibility gene BRCA2

2. A Strong Candidate for the Breast and Ovarian Cancer Susceptibility Gene BRCA1

3. Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers

4. BRCA1 and BRCA2: different roles in a common pathway of genome protection

5. The Average Cumulative Risks of Breast and Ovarian Cancer for Carriers of Mutations in BRCA1 and BRCA2 Attending Genetic Counseling Units in Spain