Optimization of prediction methods for risk assessment of pathogenic germline variants in the Japanese population

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 clinicop...

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Veröffentlicht in:	Cancer science 2021-08, Vol.112 (8), p.3338-3348
Hauptverfasser:	Senda, Noriko, Kawaguchi‐Sakita, Nobuko, Kawashima, Masahiro, Inagaki‐Kawata, Yukiko, Yoshida, Kenichi, Takada, Masahiro, Kataoka, Masako, Torii, Masae, Nishimura, Tomomi, Kawaguchi, Kosuke, Suzuki, Eiji, Kataoka, Yuki, Matsumoto, Yoshiaki, Yoshibayashi, Hiroshi, Yamagami, Kazuhiko, Tsuyuki, Shigeru, Takahara, Sachiko, Yamauchi, Akira, Shinkura, Nobuhiko, Kato, Hironori, Moriguchi, Yoshio, Okamura, Ryuji, Kan, Norimichi, Suwa, Hirofumi, Sakata, Shingo, Mashima, Susumu, Yotsumoto, Fumiaki, Tachibana, Tsuyoshi, Tanaka, Mitsuru, Togashi, Kaori, Haga, Hironori, Yamada, Takahiro, Kosugi, Shinji, Inamoto, Takashi, Sugimoto, Masahiro, Ogawa, Seishi, Toi, Masakazu
Format:	Artikel
Sprache:	eng
Schlagworte:	Body mass index BRCA BRCA1 protein BRCA2 protein Breast cancer Family medical history Genetic factors Hormone replacement therapy Original Ovarian cancer pathogenic germline variant Predictions Risk assessment risk factor Risk factors Risk groups Sensitivity analysis Tyrer‐Cuzick model
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