External validation of a genitourinary cancer-specific prognostic scoring system to predict survival for patients with bone metastasis (modified B-FOM scoring model): Comparison with other scoring models in terms of accuracy.

• Material Type: 博士論文
• Title: External validation of a genitourinary cancer-specific prognostic scoring system to predict survival for patients with bone metastasis (modified B-FOM scoring model): Comparison with other scoring models in terms of accuracy.
• Author/Editor: Owari, Takuya; Miyake, Makito; Nakai, Yasushi; Tanaka, Nobumichi; Itami, Yoshitaka; Hirao, Shuya; Momose, Hitoshi; Nakagawa, Yoshinori; Iida, Kouta; Maesaka, Fumisato; Shimizu, Takuto; Iemura, Yusuke; Matsumoto, Yoshihiro; Kuwada, Masaomi; Otani, Takeshi; Otsuka, Kenji; Okajima, Eijiro; Hosokawa, Yukinari; Okamura, Ryosuke; Fujimoto, Kiyohide
• Author Heading: Owari, Takuya; Miyake, Makito; Nakai, Yasushi; Tanaka, Nobumichi; Itami, Yoshitaka; Hirao, Shuya; Momose, Hitoshi; Nakagawa, Yoshinori; Iida, Kouta; Maesaka, Fumisato; Shimizu, Takuto; Iemura, Yusuke; Matsumoto, Yoshihiro; Kuwada, Masaomi; Otani, Takeshi; Otsuka, Kenji; Okajima, Eijiro; Hosokawa, Yukinari; Okamura, Ryosuke; Fujimoto, Kiyohide
• Publication, Distribution, etc.: Elsevier
• Publication Date: 2021-02
• Publication Date (W3CDTF): 2021-02
• Alternative Title: 骨転移を有する泌尿器科がんに特化した予後予測スコアリングモデル(B-FOM model)の外部検証および他のスコアリングモデルとの予後予測精度の比較
• Periodical title: Journal of bone oncology
• No. or year of volume/issue: 26
• Volume: 26
• Pages: Article No.100344-
• ISSN (Periodical Title): ISSN : 2212-1366
• Degree grantor/type: 奈良県立医科大学
• Date Granted: 2022-03-15
• Dissertation Number: 甲第835号
• Degree Type: 博士（医学）
• Text Language Code: eng
• Subject Heading: Bone metastasis; Genitourinary cancer; Risk scoring model; Predicting survival
• Target Audience: 一般
• Note (General): type:Thesis; Objective: We previously developed genitourinary (GU) cancer-specific scoring system for prediction of survival in patients with bone metastasis (the Bone-Fujimoto-Owari-Miyake [B-FOM] scoring model) based on five prognostic factors: the type of primary tumor (prostate cancer (PCa) vs renal cell carcinoma (RCC) and PCa vs urothelial carcinoma (UC)), poor performance status (PS), visceral metastasis, high Glasgow-prognostic score (GPS), elevated neutrophil-to-lymphocyte ratio (NLR). The aim of this study was to externally validate and further improve the performance of the B-FOM score. Methods: The external validation cohort comprised 309 patients with GU cancer with bone metastasis from multiple institutions. Clinical factors were analyzed using Kaplan-Meier method and COX regression hazard model. Performance of a modified B-FOM score was compared to that of other scoring models by the Kaplan-Meier method and the area under the curve (AUC) of receiver operating characteristic curves. Results: The median follow-up period of development and validation cohort were 25 and 17 months, respectively. Kaplan-Meier curve demonstrated that the type of primary tumor (RCC and UC vs PCa), poor PS, presence of visceral metastasis, high GPS, elevated NLR were significantly associated with shorter cancer-specific survival. Risk groups were successfully stratified by the modified B-FOM score classification. Moreover, the AUC of the modified B-FOM scoring model for predicting mortality at 6, 12, and 24 months were 0.895, 0.856, and 0.815, respectively, which were the highest among evaluated models. Conclusions: The B-FOM scoring model is a simple and accurate prediction tool. By using this scoring model at the time of the diagnosis of bone metastasis in patients with GU cancers, an individualized optimal treatment strategy can be selected.; 博士（医学）・甲第835号・令和4年3月15日; © 2020 The Authors. Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license(https://creativecommons.org/licenses/by-nc-nd/4.0/).; identifier:Journal of bone oncology Vol.26 Article No.100344 (2021 Feb); identifier:22121366; identifier:http://ginmu.naramed-u.ac.jp/dspace/handle/10564/4018; identifier:Journal of bone oncology, 26: Article No.100344
• Source: fulltext; http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4018/1/01%e7%94%b2835%e6%9c%ac%e6%96%87%e3%81%ae%e8%a6%81%e6%97%a8.pdf; http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4018/2/02%e7%94%b2835%e5%af%a9%e6%9f%bb%e8%a6%81%e6%97%a8.pdf; http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4018/3/03%e7%94%b2835%e6%9c%ac%e6%96%87.pdf; http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4018/4/04%e7%94%b2835Suppl..pdf
• Access Restrictions: インターネット公開
• Related Material (DOI): 10.1016/j.jbo.2020.100344
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 奈良県立医科大学 : 奈良県立医科大学機関リポジトリ GINMU