Research Paper Volume 13, Issue 21 pp 24349—24359

A five-lncRNA model predicting overall survival in gastric cancer compared with normal tissues

Congbo Cai1, *, , Lei Yang1, *, , Xieyan Zhuang2, , Yi He3, , Kena Zhou3, ,

  • 1 Emergency Department of Yinzhou No. 2 Hospital, Ningbo 315000, Zhejiang, China
  • 2 Gynecology Department of Mingzhou Hospital, Ningbo 315000, Zhejiang, China
  • 3 Gastroenterology Department of Ningbo No. 9 Hospital, Ningbo 315000, Zhejiang, China
* Equal contribution

Received: June 11, 2021       Accepted: October 25, 2021       Published: November 9, 2021
How to Cite

Copyright: © 2021 Cai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Aims: In cancer research, normal tissues adjacent to the tumor are usually defined as controls to compare with tumor samples, in order to screen out cancer-related genes. Although there is no obvious difference in pathology between normal tissues adjacent to the tumor and healthy tissues, there are significant changes at the molecular level. We aim to explore more potential tumor biomarkers using healthy tissues as controls rather than normal tissues adjacent to the tumor.

Methods: Here we combine the Genotype-Tissue Expression project and The Cancer Genome Atlas for differential gene analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were applied in order to predict the biological effects of related lncRNAs.

Results: We established a 5-lncRNA prognosis model with an AUC value of 0.815. Pathway analysis indicated that 5-lncRNA mainly affected tissue carcinogenesis through PI3K-AKT signaling pathway, Focal adhesion, MAPK signaling pathway.

Conclusion: The 5-lncRNA prognostic model we set up is more conducive to assess the overall survival time of gastric cancer patients.


NAT: Normal tissues Adjacent to the Tumor; GTEx: Genotype-Tissue Expression project; TCGA: The Cancer Genome Atlas; GO: Gene Ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes; OS: Overall Survival; lncRNA: Long non-coding RNA; AIC: Akaike Information Criterion.