Xu Ying, Wang Zheng, Li Fufeng
Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, 200120 Shanghai, China; Laboratory of TCM Four Processing, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, 200120 Shanghai, China; Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Transl Oncol. 2021 Jan;14(1):100957. doi: 10.1016/j.tranon.2020.100957. Epub 2020 Nov 24.
Hepatocellular carcinoma (HCC) is one of the most common cancers all over the world. Several studies have explored if immune-related genes and tumor immune microenvironment could play roles in HCC prognoses. This study is aimed at developing a prognostic signature of HCC based on immune-related genes or tumor immune microenvironment to predict survival and response to immune checkpoint inhibitors (ICIs). We constructed a prognostic signature using bioinformatics method and validated its predictive capability. The mechanisms of the signature prediction were explored with The Cancer Immunome Atlas (TCIA) and mutation analysis. We also explored the association between the signature and immunophenoscore (IPS), which is the marker of ICIs response. A 6 immune-related-gene (6-IRG) signature was developed. It was revealed in a multivariate analysis that the 6-IRG signature was an independent prognostic factor of overall survival and progression-free interval among HCC patients. In the high-risk group of 6-IRG signature score, macrophage M0 cells and regulatory T cells, which are observed associated with poor overall survival in our study, were higher. The low-risk group had a higher IPS, which meant a better response to ICIs. Taken together, we constructed a reliable 6-IRG signature for prediction of survival and response to ICIs. The signature needs further testing for clinical application.
肝细胞癌(HCC)是全球最常见的癌症之一。多项研究探讨了免疫相关基因和肿瘤免疫微环境是否在HCC预后中发挥作用。本研究旨在基于免疫相关基因或肿瘤免疫微环境开发一种HCC预后特征,以预测生存期和对免疫检查点抑制剂(ICI)的反应。我们使用生物信息学方法构建了一种预后特征,并验证了其预测能力。通过癌症免疫图谱(TCIA)和突变分析探索了该特征预测的机制。我们还探讨了该特征与免疫表型评分(IPS)之间的关联,IPS是ICI反应的标志物。开发了一种6个免疫相关基因(6-IRG)的特征。多变量分析显示,6-IRG特征是HCC患者总生存期和无进展生存期的独立预后因素。在6-IRG特征评分的高危组中,巨噬细胞M0细胞和调节性T细胞较高,在我们的研究中观察到它们与较差的总生存期相关。低危组的IPS较高,这意味着对ICI的反应更好。综上所述,我们构建了一种可靠的6-IRG特征,用于预测生存期和对ICI的反应。该特征需要进一步进行临床应用测试。