A 16‐mRNA signature optimizes recurrence‐free survival prediction of Stages II and III gastric cancer

High‐throughput messenger RNA (mRNA) analysis has become a powerful tool for exploring tumor recurrence or metastasis mechanisms. Here, we constructed a signature to predict the recurrence risk of Stages II and III gastric cancer (GC) patients. A least absolute shrinkage and selection operator metho...

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Veröffentlicht in:	Journal of cellular physiology 2020-07, Vol.235 (7-8), p.5777-5786
Hauptverfasser:	Peng, Ke, Chen, Erbao, Li, Wei, Cheng, Xi, Yu, Yiyi, Cui, Yuehong, Li, Qian, Wang, Yan, Xu, Xiaojing, Tang, Cheng, Gan, Lu, Yu, Shan, Liu, Tianshu
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Biomarkers, Tumor - genetics Cancer Confidence intervals Datasets Disease-Free Survival Drug resistance Female Gastric cancer Gene expression Gene Expression Regulation, Neoplastic - genetics Genomes Humans Kaplan-Meier Estimate LASSO Male Metastases Metastasis Middle Aged Neoplasm Proteins Neoplasm Recurrence, Local - genetics Neoplasm Recurrence, Local - pathology Neoplasm Staging Nomograms Prognosis Regression analysis Regression models relapse‐free survival Risk analysis Risk factors RNA, Messenger - genetics signature Statistical analysis Stomach Neoplasms - genetics Stomach Neoplasms - pathology Survival Training Transcriptome Tumors
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