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ID 111015
Title Alternative
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
Author
Tanahashi, Toshihito Tokushima University
Aoyagi, Eriko Tokushima University
Keywords
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
Content Type
Thesis or Dissertation
Description
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.
Journal Title
Oncology
ISSN
00302414
14230232
NCID
AA00764146
AA12784865
Publisher
Karger
Volume
93
Issue
2
Start Page
127
End Page
135
Published Date
2017-05-17
Remark
内容要旨・審査要旨・論文本文の公開
本論文は,著者Shinji Kitamuraの学位論文として提出され,学位審査・授与の対象となっている。
Rights
© 2017 S. Karger AG, Basel
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
ETD
MEXT report number
乙第2097号
Diploma Number
乙医第1751号
Granted Date
2017-11-30
Degree Name
Doctor of Medical Science
Grantor
Tokushima University
departments
Medical Sciences
University Hospital