In:
Epigenomics, Future Medicine Ltd, Vol. 11, No. 11 ( 2019-08), p. 1251-1266
Abstract:
Aim: To develop novel diagnostic tools that can predict the prognosis of gastric cancer. Material & methods: Using RNA expression data from The Cancer Genome Atlas and Gene Expression Omnibus, we established protein-coding RNAs-noncoding RNAs-tumor microenvironment type (PNM) scores, which contain signatures of tumor protein coding genes (P), tumor noncoding genes (N) and immune/stroma cells in tumor microenvironment (M) to predict the prognosis of gastric cancer. Results & conclusion: Based on PNM scores, gastric cancer patients were divided into three subgroups and Kaplan–Meier survival curves revealed significant differences among the subgroups (p 〈 0.001). Our study showed that the PNM scores could be used as a robust predicting tool for the prognosis of gastric cancer.
Type of Medium:
Online Resource
ISSN:
1750-1911
,
1750-192X
DOI:
10.2217/epi-2019-0151
Language:
English
Publisher:
Future Medicine Ltd
Publication Date:
2019
SSG:
12
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