Research Paper Volume 14, Issue 15 pp 6227—6254
CBXs-related prognostic gene signature correlates with immune microenvironment in gastric cancer
- 1 School of Pharmacy, Minzu University of China, Beijing, P.R. China
- 2 Key Laboratory of Ethnomedicine (Minzu University of China), Ministry of Education, Beijing, P.R. China
Received: May 6, 2022 Accepted: July 12, 2022 Published: August 14, 2022
https://doi.org/10.18632/aging.204214How to Cite
Copyright: © 2022 Zhang 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.
Abstract
Background: Chromobox (CBX) proteins are important Polycomb family proteins in the development of gastric cancer. Nonetheless, the relationship between CBXs and gastric cancer microenvironment remains unclear.
Methods: Multiple databases were used for the analysis of CBXs expression and clinical value in gastric cancer patients. A Cox regression analysis was used to evaluate the prognostic importance of CBXs. Thereafter, regression analysis of LASSO Cox was used to construct the prognostic model. Spearman's correlation between risk score and immune infiltration was analyzed using the McP-counter algorithm. A predicted nomogram was developed to predict the overall survival of gastric cancer patients after 1, 2, and 3 years.
Results: In contrast with normal tissues, mRNA and protein expression levels of CBX2/3 were significantly high in gastric cancer tissues, whereas those of CBX6/7 were low. CBXs significantly correlated with immune subtypes and molecular subtypes. A prognostic gene model based on five CBX genes (CBX1, CBX2, CBX3, CBX7, and CBX8) predicted the overall survival of gastric cancer patients. A significant correlation was noted between the risk score of the CBXs-related prognostic gene model and immune-cell infiltration. Low risk patients could achieve a better response to immune checkpoint inhibitors. A predictive nomogram constructed using the above five CBX genes revealed that overall survival rates over 1, 2, and 3 years could be reasonably predicted. Therefore, the roles of CBXs were associated with chromatin modifications and histone methylation, etc.
Conclusion: In summary, we identified a prognostic CBXs model comprising five genes (CBX1, CBX2, CBX3, CBX7, and CBX8) for gastric cancer patients through bioinformatics analysis.
Abbreviations
CBXs: Chromobox proteins; CIN: Chromosomal instability; EBV: Epstein–Barr virus-positive; GS: Genomically stable; HM-SNV: Hypermutated-single-nucleotide variant predominant; HM-indel: hypermutated-insertion deletion mutation; TILs: tumor-infiltrating lymphocytes.