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Hu Y, Liu J, Yu J, Yang F, Zhang M, Liu Y, Ma S, Zhou X, Wang J, Han Y. Identification and validation a costimulatory molecule gene signature to predict the prognosis and immunotherapy response for hepatocellular carcinoma. Cancer Cell Int 2022; 22:97. [PMID: 35193632 PMCID: PMC8864933 DOI: 10.1186/s12935-022-02514-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 02/05/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. Costimulatory molecules have been proven to be the foundation of immunotherapy. However, the potential roles of costimulatory molecule genes (CMGs) in HCC remain unclear. Our study is aimed to develop a costimulatory molecule-related gene signature that could evaluate the prognosis of HCC patients. METHODS Based on The Cancer Gene Atlas (TCGA) database, univariate Cox regression analysis was applied in CMGs to identify prognosis-related CMGs. Consensus clustering analysis was performed to stratify HCC patients into different subtypes and compared them in OS. Subsequently, the LASSO Cox regression analysis was performed to construct the CMGs-related prognostic signature and Kaplan-Meier survival curves as well as ROC curve were used to validate the predictive capability. Then we explored the correlations of the risk signature with tumor-infiltrating immune cells, tumor mutation burden (TMB) and response to immunotherapy. The expression levels of prognosis-related CMGs were validated based on qRT-PCR and Human Protein Atlas (HPA) databases. RESULTS All HCC patients were classified into two clusters based on 11 CMGs with prognosis values and cluster 2 correlated with a poorer prognosis. Next, a prognostic signature of six CMGs was constructed, which was an independent risk factor for HCC patients. Patients with low-risk score were associated with better prognosis. The correlation analysis showed that the risk signature could predict the infiltration of immune cells and immune status of the immune microenvironment in HCC. The qRT-PCR and immunohistochemical results indicated six CMGs with differential expression in HCC tissues and normal tissues. CONCLUSION In conclusion, our CMGs-related risk signature could be used as a prediction tool in survival assessment and immunotherapy for HCC patients.
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Affiliation(s)
- Yinan Hu
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Jingyi Liu
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Jiahao Yu
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Fangfang Yang
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Miao Zhang
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Yansheng Liu
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Shuoyi Ma
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Xia Zhou
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Jingbo Wang
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Ying Han
- Institute of Digestive Diseases, Xijing Hospital, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
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