Esophageal cancer lymph node metastasis –associated gene signature optimizes overall survival prediction of esophageal cancer

In summary, the messenger RNA –based risk score model that we developed successfully predicts the survival of esophageal cancer. It is independent of clinical information and performs better than other clinical information for prognosis. AUC, area under the curve; CI, confidence interval. AbstractEsophageal cancer (EC) is characteristic of early regional lymph node metastasis (LNM) and most patients with metastasis have a poor prognosis. However, the current diagnostic techniques do not enable precise differentiation of EC LNM, prognostic stratification, and individual survival estimation. To identify potential molecular biomarkers for EC patients with LNM, we explored differently expressed genes in The Cancer Genome Atlas database between 77 non ‐LNM cases and 88 LNM cases by limma package R. Then, according to univariate and multivariate Cox regression analyses, we constructed an 8‐messenger RNA (mRNA) prognostic signature model, which could predict the outcome in a more exact way. The area under the curve of the risk score is signific antly higher than other clinical information, indicating that the 8‐mRNA–based risk score is a good indicator for prognosis. Then, combined with other individual risk factors, such as age, sex, T stage, M stage, etc, we could precisely calculate the individual 1‐, 3‐, and 5‐year survival r ates. The Gene Set Enrichment Analysis, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes analysis indicate that the risk model is...
Source: Journal of Cellular Biochemistry - Category: Biochemistry Authors: Tags: RESEARCH ARTICLE Source Type: research