1. Optimization of prediction methods for risk assessment of pathogenic germline variants in the Japanese population
- Author
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Kaori Togashi, Akira Yamauchi, Hironori Kato, Nobuhiko Shinkura, Kenichi Yoshida, Kosuke Kawaguchi, Takahiro Yamada, Ryuji Okamura, Masahiro Sugimoto, Eiji Suzuki, Hironori Haga, Masae Torii, Hirofumi Suwa, Norimichi Kan, Sachiko Takahara, Yoshiaki Matsumoto, Masahiro Kawashima, Tsuyoshi Tachibana, Masakazu Toi, Yukiko Inagaki-Kawata, Hiroshi Yoshibayashi, Takashi Inamoto, Masako Kataoka, Shingo Sakata, Nobuko Kawaguchi-Sakita, Fumiaki Yotsumoto, Kazuhiko Yamagami, Yuki Kataoka, Mitsuru Tanaka, Shinji Kosugi, Masahiro Takada, Seishi Ogawa, Shigeru Tsuyuki, Tomomi Nishimura, Susumu Mashima, Noriko Senda, and Yoshio Moriguchi
- Subjects
0301 basic medicine ,Oncology ,Genetics, Genomics and Proteomics ,Cancer Research ,BRCA ,0302 clinical medicine ,Japan ,Mutation Rate ,Age of Onset ,Aged, 80 and over ,Ovarian Neoplasms ,BRCA1 Protein ,Genetic Carrier Screening ,pathogenic germline variant ,General Medicine ,Middle Aged ,Pedigree ,risk factor ,030220 oncology & carcinogenesis ,Population Surveillance ,Original Article ,Female ,Risk assessment ,Fanconi Anemia Complementation Group N Protein ,Adult ,medicine.medical_specialty ,PALB2 ,Breast Neoplasms ,Risk Assessment ,03 medical and health sciences ,Tyrer‐Cuzick model ,Breast cancer ,breast cancer ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Risk factor ,Tyrer-Cuzick Model ,Germ-Line Mutation ,Aged ,BRCA2 Protein ,business.industry ,Tyrer-Cuzick model ,Cancer ,Original Articles ,medicine.disease ,Confidence interval ,030104 developmental biology ,business ,Ovarian cancer - Abstract
Predicting pathogenic germline variants (PGVs) in breast cancer patients is important for selecting optimal therapeutics and implementing risk reduction strategies. However, PGV risk factors and the performance of prediction methods in the Japanese population remain unclear. We investigated clinicopathological risk factors using the Tyrer‐Cuzick (TC) breast cancer risk evaluation tool to predict BRCA PGVs in unselected Japanese breast cancer patients (n = 1,995). Eleven breast cancer susceptibility genes were analyzed using target‐capture sequencing in a previous study; the PGV prevalence in BRCA1, BRCA2, and PALB2 was 0.75%, 3.1%, and 0.45%, respectively. Significant associations were found between the presence of BRCA PGVs and early disease onset, number of familial cancer cases (up to third‐degree relatives), triple‐negative breast cancer patients under the age of 60, and ovarian cancer history (all P, Combination of major clinicopathological risk factors and predictive scores could help identify and characterize high‐risk population carrying BRCA1/2 PGVs among Japanese breast cancer patients. Significant associations were found between the presence of PGVs and early disease onset, number of familial cancer cases within third‐degree relatives, triple‐negative breast cancer patients under the age of 60, and ovarian cancer history (all P
- Published
- 2021