作者: Yiqiang Zhao , Aaron J. Schetter , Geoffrey B. Yang , Giang Nguyen , Ewy A. Mathé
DOI: 10.1002/IJC.27954
关键词:
摘要: MicroRNAs (miRNAs) and inflammatory genes have a role in the initiation development of esophageal squamous cell carcinoma (ESCC). In our study, we examined potential using miRNA gene expression patterns as prognostic classifiers for ESCC. Five miRNAs 25 inflammatory-related were measured by quantitative reverse transcriptase PCR tumor tissues adjacent noncancerous from 178 Chinese patients with The levels miR-21 (p = 0.027), miR-181b 0.002) miR-146b 0.021) tissue 0.003) associated overall survival patients. These data combined to generate risk score that was significantly worse prognosis 0.0001), suggesting these may be useful To construct an classifier, divided population into training (n 124) test cohorts 54). CRY61, CTGF IL-18 VEGF modestly cohort |Z-score| > 1.5 subsequently used Cox regression-based (IRS). IRS both 0.005). Furthermore, regression models combining performed better than either alone < 0.001 likelihood ratio test). Therefore, patterns, or combination, ESCC help guide therapeutic decisions.