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Updated: Jan 21, 2026

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
Published on: February 16, 2024
A novel assessing system for predicting the prognosis of gastric cancer
Siheng Lin1, Rui Zhou1, Dongqiang Zeng1
1Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
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.
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