Response Predictors of S-1, Cisplatin, and Docetaxel Combination Chemotherapy for Metastatic Gastric Cancer : Microarray Analysis of Whole Human Genes

• Material Type: 博士論文
• Title: Response Predictors of S-1, Cisplatin, and Docetaxel Combination Chemotherapy for Metastatic Gastric Cancer : Microarray Analysis of Whole Human Genes
• Author/Editor: Kitamura, Shinji; Tanahashi, Toshihito; Aoyagi, Eriko; Nakagawa, Tadahiko; Okamoto, Koichi; Kimura, Tetsuo; Miyamoto, Hiroshi; Mitsui, Yasuhiro; Rokutan, Kazuhito; Muguruma, Naoki; Takayama, Tetsuji
• Author Heading: Kitamura, Shinji; Tanahashi, Toshihito; Aoyagi, Eriko; Nakagawa, Tadahiko; Okamoto, Koichi; Kimura, Tetsuo; Miyamoto, Hiroshi; Mitsui, Yasuhiro; Rokutan, Kazuhito; Muguruma, Naoki; Takayama, Tetsuji
• Publication, Distribution, etc.: Karger
• Publication Date: 2017-05-17
• Publication Date (W3CDTF): 2017-05-17
• Alternative Title: マイクロアレイを用いた切除不能進行胃癌におけるS-1，シスプラチン，ドセタキセル3剤併用化学療法の治療効果予測因子についての検討; Response Predictors of DCS Therapy in Gastric Cancer
• Periodical title: Oncology
• No. or year of volume/issue: 93 2
• Volume: 93
• Issue: 2
• Pages: 127-135
• ISSN (Periodical Title): ISSN : 0030-2414; ISSN : 1423-0232
• Degree grantor/type: 徳島大学
• Date Granted: 2017-11-30
• Dissertation Number: 乙第2097号
• Degree Type: 博士（医学）
• Text Language Code: eng
• Subject Heading: Gastric cancer; Microarray; Chemotherapy; 胃癌; 化学療法; 効果予測因子; マイクロアレイ; 遺伝子
• Target Audience: 一般
• Note (General): Objectives: The aim of this study was to identify biomarkers for predicting the efficacy of docetaxel, cisplatin, and S-1 (DCS) therapy for advanced gastric cancer using microarrays of biopsy specimens before chemotherapy. Methods: Nineteen samples were taken from 19 patients with unresectable metastatic gastric cancer who received DCS as a first-line therapy. Laser capture microdissection was performed, and total cellular RNA was extracted from each microdissected sample. Whole-gene expression was analyzed by microarray, and the difference in mRNA expression observed with the microarrays was confirmed by quantitative real-time PCR. Immunohistochemical staining was performed using clinical tissue sections obtained by endoscopic biopsy. Results: Eleven patients were identified as early responders and 8 patients as nonresponders to DCS therapy. Twenty-nine genes showed significant differences in relative expression ratios between tumor and normal tissues. A classifier set of 29 genes had high accuracy (94.7%) for distinguishing gene expression between 11 early responders and 8 nonresponders. Decreasing the size of the classifier set to 4 genes (PDGFB, PCGF3, CISH, and ANXA5) increased the accuracy to 100%. Expression levels by real-time PCR for validation were well correlated with those 4 genes in microarrays. Conclusion: The genes identified may serve as efficient biomarkers for personalized cancer-targeted therapy.
• Format (IMT): application/pdf
• Access Restrictions: インターネット公開
• Rights (production): © 2017 S. Karger AG, Basel
• Related Material (DOI): 10.1159/000464329
• 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): 徳島大学 : 徳島大学機関リポジトリ

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https://repo.lib.tokushima-u.ac.jp/files/public/11/111015/20190823163926697487/o2097_abstract_review.pdf fulltext

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