Sun Xuhui, Jia Wenlong, Liang Huifang, Cheng Henghui
Department of Pathology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Hepatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Front Immunol. 2025 May 19;16:1481366. doi: 10.3389/fimmu.2025.1481366. eCollection 2025.
Immunotherapy has emerged as a pivotal therapeutic modality for a multitude of malignancies, notably hepatocellular carcinoma (HCC). This research endeavors to construct a prognostic signature based on immune-related genes between different HCC molecular subtypes, offer guidance for immunotherapy application, and promote its clinical practical application through immunohistochemistry.
Distinguishing HCC subtypes through Gene set variation analysis and Consensus clustering analysis using the Kyoto Encyclopedia of Genes and Genome (KEGG) pathway. In the TCGA-LIHC cohort, univariate, Lasso, and multivariate Cox regression analyses were applied to construct a novel immune relevant prognostic signature. The Subtype-specific and Immune-Related Prognostic Signatures (SIR-PS) were validated in three prognostic cohorts, one immunotherapy cohort, different HCC cell lines and tissue chips. Further possible mechanism on immunotherapy was explored by miRNA-mRNA interactions and signaling pathway.
This prognostic model, which was based on four critical immune-related genes, , , and , was demonstrated excellent performance in both prognosis and immune response prediction of HCC. Clinical pathological signature, tumor microenvironment and mutation analysis also proved the effective prediction of this model. Spatial transcriptome analysis shows that STC2 and BIRC5 are mainly enriched in liver cancer cells and their mRNA and protein expression levels were greater in higher malignant HCC cell lines than in the lower ones. Further validation on HCC tissue chips of this model also showed good correlation with cancer prognosis. The risk score of each patient demonstrated that the SIR-PS exhibited excellent 1 and 3-year survival prediction performance.
Our analysis demonstrates that the SIR-PS model serves as a robust prognostic and predictive tool for both the survival outcomes and the response to immunotherapy in hepatocellular carcinoma patients, which may shed light on promoting the individualized immunotherapy against hepatocellular carcinoma.
免疫疗法已成为多种恶性肿瘤(尤其是肝细胞癌,HCC)的关键治疗方式。本研究旨在基于不同HCC分子亚型之间的免疫相关基因构建一个预后特征,为免疫疗法的应用提供指导,并通过免疫组化促进其临床实际应用。
利用基因集变异分析和基于京都基因与基因组百科全书(KEGG)通路的共识聚类分析来区分HCC亚型。在TCGA-LIHC队列中,应用单变量、套索和多变量Cox回归分析构建一个新的免疫相关预后特征。在三个预后队列、一个免疫治疗队列、不同的HCC细胞系和组织芯片中验证亚型特异性和免疫相关预后特征(SIR-PS)。通过miRNA-mRNA相互作用和信号通路探索免疫疗法的进一步可能机制。
这个基于四个关键免疫相关基因,即 、 、 和 的预后模型,在HCC的预后和免疫反应预测方面均表现出优异性能。临床病理特征、肿瘤微环境和突变分析也证明了该模型的有效预测能力。空间转录组分析表明,STC2和BIRC5主要富集于肝癌细胞,其mRNA和蛋白质表达水平在高恶性HCC细胞系中高于低恶性细胞系。该模型在HCC组织芯片上的进一步验证也显示出与癌症预后的良好相关性。每位患者的风险评分表明,SIR-PS在1年和3年生存预测性能方面表现出色。
我们的分析表明,SIR-PS模型是肝细胞癌患者生存结果和免疫治疗反应的强大预后和预测工具,这可能有助于推动针对肝细胞癌的个体化免疫治疗。