| ○種別 (必須): | □ | 学術論文 (審査論文)
| [継承] |
| ○言語 (必須): | □ | 英語
| [継承] |
| ○招待 (推奨): |
| ○審査 (推奨): |
| ○カテゴリ (推奨): |
| ○共著種別 (推奨): |
| ○学究種別 (推奨): |
| ○組織 (推奨): |
| ○著者 (必須): | 1. | (英) Shigemizu Daichi (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 2. | (英) Iwase Takuji (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 3. | (英) Yoshimoto Masataka (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 4. | (英) Suzuki Yasuyo (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 5. | (英) Miya Fuyuki (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 6. | (英) Boroevich Keith A (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 7. | 片桐 豊雅
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 8. | (英) Zembutsu Hitoshi (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| 9. | (英) Tsunoda Tatsuhiko (日) (読)
| ○役割 (任意): |
| ○貢献度 (任意): |
| ○学籍番号 (推奨): |
| [継承] |
| ○題名 (必須): | □ | (英) The prediction models for postoperative overall survival and disease-free survival in patients with breast cancer. (日)
| [継承] |
| ○副題 (任意): |
| ○要約 (任意): | □ | (英) The goal of this study is to establish a method for predicting overall survival (OS) and disease-free survival (DFS) in breast cancer patients after surgical operation. The gene expression profiles of cancer tissues from the patients, who underwent complete surgical resection of breast cancer and were subsequently monitored for postoperative survival, were analyzed using cDNA microarrays. We detected seven and three probes/genes associated with the postoperative OS and DFS, respectively, from our discovery cohort data. By incorporating these genes associated with the postoperative survival into MammaPrint genes, often used to predict prognosis of patients with early-stage breast cancer, we constructed postoperative OS and DFS prediction models from the discovery cohort data using a Cox proportional hazard model. The predictive ability of the models was evaluated in another independent cohort using Kaplan-Meier (KM) curves and the area under the receiver operating characteristic curve (AUC). The KM curves showed a statistically significant difference between the predicted high- and low-risk groups in both OS (log-rank trend test P = 0.0033) and DFS (log-rank trend test P = 0.00030). The models also achieved high AUC scores of 0.71 in OS and of 0.60 in DFS. Furthermore, our models had improved KM curves when compared to the models using MammaPrint genes (OS: P = 0.0058, DFS: P = 0.00054). Similar results were observed when our model was tested in publicly available datasets. These observations indicate that there is still room for improvement in the current methods of predicting postoperative OS and DFS in breast cancer. (日)
| [継承] |
| ○キーワード (推奨): |
| ○発行所 (推奨): |
| ○誌名 (必須): | □ | Cancer Medicine (American Cancer Society/Union for International Cancer Control/[日本癌学会])
(eISSN: 2045-7634)
| ○ISSN (任意): | □ | 2045-7634
ISSN: 2045-7634
(eISSN: 2045-7634) Title: Cancer medicineTitle(ISO): Cancer MedPublisher: John Wiley and Sons Inc (NLM Catalog)
(Scopus)
(CrossRef)
(Scopus information is found. [need login]) | [継承] |
| [継承] |
| ○巻 (必須): | □ | 6
| [継承] |
| ○号 (必須): | □ | 7
| [継承] |
| ○頁 (必須): | □ | 1627 1638
| [継承] |
| ○都市 (任意): |
| ○年月日 (必須): | □ | 西暦 2017年 5月 24日 (平成 29年 5月 24日)
| [継承] |
| ○URL (任意): |
| ○DOI (任意): | □ | 10.1002/cam4.1092 (→Scopusで検索)
| [継承] |
| ○PMID (任意): | □ | 28544536 (→Scopusで検索)
| [継承] |
| ○CRID (任意): |
| ○Scopus (任意): |
| ○researchmap (任意): |
| ○評価値 (任意): |
| ○被引用数 (任意): |
| ○指導教員 (推奨): |
| ○備考 (任意): | 1. | (英) PublicationType: Journal Article (日)
| [継承] |