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Prognostic value of a 25-gene assay in patients with gastric cancer after curative resection

This study aimed to develop and validate a practical, reliable assay for prognosis and chemotherapy benefit prediction compared with conventional staging in Gastric cancer (GC). Twenty-three candidate genes with significant correlation between quantitative hybridization and microarray results plus 2...

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Published in:Scientific reports 2017-08, Vol.7 (1), p.7515-11, Article 7515
Main Authors: Wang, Xiaohong, Liu, Yiqiang, Niu, Zhaojian, Fu, Runjia, Jia, Yongning, Zhang, Li, Shao, Duanfang, Du, Hong, Hu, Ying, Xing, Xiaofang, Cheng, Xiaojing, Li, Lin, Guo, Ting, Li, Ziyu, Ji, Qunsheng, Zhang, Lianhai, Ji, Jiafu
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Language:English
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Summary:This study aimed to develop and validate a practical, reliable assay for prognosis and chemotherapy benefit prediction compared with conventional staging in Gastric cancer (GC). Twenty-three candidate genes with significant correlation between quantitative hybridization and microarray results plus 2 reference genes were selected to form a 25-gene prognostic classifier, which can classify patients into 3 distinct groups of different risk of mortality obtained by analyzing microarray data from 78 frozen tumor specimens. The 25-gene assay was associated with overall survival in both training ( P  = 0.017) and testing cohort ( P  = 0.005) (462 formalin-fixed paraffin-embedded samples). The risk prediction in stages I + II is significantly better than that in stages III. Analysis demonstrated that this 25-gene signature is an independent prognostic predictor and show higher prognostic accuracy than conventional TNM staging in early stage patients. Moreover, only high-risk patients in stage I + II were found benefit from adjuvant chemotherapy ( P  = 0.043), while low-risk patients in stage III were not found benefit from adjuvant chemotherapy. In conclusion, our results suggest that this 25-gene assay can reliably identify patients with different risk for mortality after surgery, especially for stage I + II patients, and might be able to predict patients who benefit from chemotherapy.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-017-07604-y