Background: Hepatocellular carcinoma (HCC) is one of the most common malignant
tumors of the digestive tract in the world. Therefore, it is important to carry out studies on the
molecular mechanisms of early diagnosis and treatment of HCC to reduce mortality.
Methods: Bioinformatic analysis was performed to explore the significant role of GCSF on the
occurrence and development of neoplasm. Differently expressed genes (DEGs) were screened, and
the significant hub genes related to GCSF were identified by the multiple algorithms of Cytoscape.
Functional annotation for DEGs, pathological stage, and overall survival analysis were
implemented. In addition, the verification for the role of GCSF on HCC was made via the clinical
samples. A total of 70 participates diagnosed as HCC were recruited from November 2014 to
November 2019. The immunohistochemistry assay, qRT-PCR, receiver operating characteristic
(ROC) curves, and overall survival analysis were carried out.
Results: GCSF was related to the tumor size, and the expression of GCSF was up-regulated in
hepatocellular carcinoma tissues. The enrichment results of GO and KEGG analysis were mainly
enriched in “Inflammatory response”, “Protein binding”, “Metabolic pathways”, and
“Proteasome”. The tumor diameter (P < 0.001), and survival time (P < 0.001) were significantly
associated with the expression of GCSF via the verification of clinical data. The univariate and
multivariate Cox proportional regression analysis manifested that high expression of GCSF in
patients with HCC was related to poor OS.
Conclusion: The expression level of GCSF is significantly associated with the prognostic survival
of HCC, and it is expected to become a new prognostic marker of HCC, providing a novel idea for
future basic research as well as targeted therapy.