Bioinformatic Analysis of GOLGB1 as a Potential Predictive Biomarkers in Colonic Neoplasms
Vol. 28 (2026): 2026 2nd International Conference on Agricultural Sciences, Economics, Biomedical and Environmental Sciences (SEMBE 2026)
Received: 2026-07-18
Accepted: 2026-07-18
Published: 2026-07-18
Abstract
This study investigated the expression, prognostic value, biological functions, and potential biomarker utility of the Golgi protein GOLGB1 in colon cancer. GEPIA2 was used to analyze GOLGB1 expression differences between colon cancer and normal tissues, as well as its association with clinical stages. Survival analysis assessed its prognostic value. Significantly co-expressed genes were screened via cBioPortal, followed by GO/KEGG enrichment analysis using WebGestalt. A PPI network and hub genes were identified using STRING and Cytoscape. TIMER2.0 evaluated correlations of GOLGB1 expression with immune cell infiltration and immune checkpoint molecules. No significant difference in GOLGB1 expression was observed between colon cancer and normal tissues (P>0.05); however, expression varied significantly across clinical stages (F=3.45, P=0.017), with highest heterogeneity in stage IV. High GOLGB1 expression was significantly associated with shorter overall survival (HR=1.7, 95% CI: 1.08--2.68, P=0.021). Co-expressed genes were enriched in pathways related to epigenetic regulation, RNA splicing, mitochondrial function, and energy derivation. PPI network analysis identified 10 hub genes (e.g., MRPL11, MRPL4), all negatively correlated with GOLGB1. GOLGB1 expression positively correlated with infiltration of B cells, CD8+ T cells, and others (all P<0.05), and with immune checkpoint molecules including CTLA4, TIGIT, and PD-L1, but negatively correlated with OX40. In conclusion, high GOLGB1 expression is a significant adverse prognostic factor and a potential prognostic biomarker in colon cancer. The associated gene signatures and immune checkpoint features support its value in prognosis assessment and tumor microenvironment research.
Keywords
References
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Published in2026-07-18 14:42:50
DOI https://doi.org/10.70088/sh5hgt15
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- Vol. 28 (2026): 2026 2nd International Conference on Agricultural Sciences, Economics, Biomedical and Environmental Sciences (SEMBE 2026)
- 2026-07-18
- ISSN: (Print) 3078-770X/ (Online) 3078-7718
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