期刊
CANCER CELL INTERNATIONAL
卷 22, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s12935-022-02734-4
关键词
Hepatocellular carcinoma; Nomogram model; Prognostic gene signature; Immune cell infiltrates; Tumor microenvironment; Immune checkpoints
类别
资金
- National Natural Sciences Foundation of China [81970523]
- Natural Sciences Foundation of Hunan province, China [2020JJ4877, 2020JJ5886, 2020JJ4906, 2019JJ40494]
- Natural Sciences Foundation of Shandong province, China [ZR2021MH033]
This study constructed a novel prognostic nomogram model for predicting the survival probability of individual hepatocellular carcinoma (HCC) patients and determined an immune-related prognostic gene signature. These findings may have important implications for future HCC treatment.
Background Hepatocellular carcinoma (HCC) is one of the most malignant solid tumors worldwide. Recent evidence shows that the stimulator of interferon genes (STING) pathway is essential for anti-tumor immunity via inducing the production of downstream inflammatory cytokines. However, its impact on the prognosis and tumor microenvironment of HCC was still limited known. Methods We obtained gene expression profiles of HCC from GEO, TCGA, and ICGC databases, and immune-related genes (IRGs) from the ImmPort database. Multivariate Cox regression was performed to identify independent prognostic factors. Nomogram was established to predict survival probability for individual patients. Kaplan-Meier curve was used to evaluate the survival difference. Afterward, ESTIMATE, TISCH, and TIMER databases were combined to assess the immune cell infiltration. Furthermore, the qPCR, western blotting, and immunohistochemistry were done to evaluate gene expression, and in vitro cell models were built to determine cell migratory ability. Results We found that gene markers of NLRC3, STING1, TBK1, TRIM21, and XRCC6 within STING pathway were independent prognostic factors in HCC patients. Underlying the finding, a predictive nomogram was constructed in TCGA-training cohort and further validated in TCGA-all and ICGC datasets, showing credible performance. Experimentally, up-regulated TBK1 promotes the ability of HCC cell migration. Next, the survival-related immune-related co-expressed gene signatures (IRCGS) (VAV1, RHOA, and ZC3HAV1) were determined in HCC cohorts and their expression was verified in human HCC cells and clinical samples. Furthermore, survival-related IRCGS was associated with the infiltration of various immune cell subtypes in HCC, the transcriptional expression of prominent immune checkpoints, and immunotherapeutic response. Conclusion Collectively, we constructed a novel prognostic nomogram model for predicting the survival probability of individual HCC patients. Moreover, an immune-related prognostic gene signature was determined. Both might function as potential therapeutic targets for HCC treatment in the future.
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