Wang Yanhong, Mang Xinyu, Guo Xiaohong, Pu Junfeng
Shanghai Fourth People's Hospital, and School of Medicine, Tongji University, Shanghai, China.
Department of Biochemistry and Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Front Immunol. 2024 May 28;15:1379690. doi: 10.3389/fimmu.2024.1379690. eCollection 2024.
Hepatocellular carcinoma (HCC), a prevalent cancer, is linked to cuproptosis in tumor progression. However, cuproptosis's impact on HCC prognosis and its role in the tumor microenvironment remain unclear. We aimed to explore the correlation between cellular cuproptosis and the immune microenvironment in HCC, providing potential immunotherapeutic insights.
Examining cuproptosis-related genes and the immune microenvironment through consensus clustering and WGCNA. Risk models were constructed using LASSO Cox analysis and validated in an independent cohort. Gene expression data from The Cancer Genome Atlas (TCGA) database and single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus (GEO) database were utilized. We scored cuproptosis expression and explored immunoinfiltration and cell-cell communication. Differential signals in T_memory cells were compared across different cuproptosis levels.
Cuproptosis genes associated with fibroblast recruitment (GLS) and macrophage infiltration (FDX1). Liver cancer patients categorized into two subtypes based on cuproptosis gene expression. High expression of DLAT, GLS, and CDKN2A linked to immunosuppression (TGF-β), while high FDX1, MTF1, LIAS, and LIPT1 expression enhanced communication with non-immune cells. Developed reliable prognostic signature score and nomogram using cuproptosis-related genes. Single-cell analysis revealed differences in T_memory and TAM infiltration based on cuproptosis scores, with SPP1 and MIF as dominant signaling molecules. Finally, the results of experiments showed that when DLAT or CDKN2A was knocked down, the proliferation, migration, and invasion of HCC cells were significantly decreased.
Our study demonstrates that cuproptosis affects the immune microenvironment and cell-cell communication. Identified 9 genetic markers predicting survival outcomes and immunotherapy responses. Evaluating cuproptosis signaling can optimize immunotherapeutic strategies for hepatocellular carcinoma.
肝细胞癌(HCC)是一种常见的癌症,与肿瘤进展中的铜死亡有关。然而,铜死亡对HCC预后的影响及其在肿瘤微环境中的作用仍不清楚。我们旨在探讨HCC中细胞铜死亡与免疫微环境之间的相关性,提供潜在的免疫治疗见解。
通过共识聚类和加权基因共表达网络分析(WGCNA)研究铜死亡相关基因和免疫微环境。使用LASSO Cox分析构建风险模型,并在独立队列中进行验证。利用来自癌症基因组图谱(TCGA)数据库的基因表达数据和来自基因表达综合数据库(GEO)的单细胞RNA测序(scRNA-seq)数据。我们对铜死亡表达进行评分,并探讨免疫浸润和细胞间通讯。比较不同铜死亡水平下T记忆细胞中的差异信号。
铜死亡基因与成纤维细胞募集(GLS)和巨噬细胞浸润(FDX1)相关。根据铜死亡基因表达,肝癌患者分为两种亚型。DLAT、GLS和CDKN2A的高表达与免疫抑制(TGF-β)相关,而FDX1、MTF1、LIAS和LIPT1的高表达增强了与非免疫细胞的通讯。利用铜死亡相关基因开发了可靠的预后特征评分和列线图。单细胞分析显示,基于铜死亡评分,T记忆细胞和肿瘤相关巨噬细胞(TAM)浸润存在差异,SPP1和MIF是主要的信号分子。最后,实验结果表明,敲低DLAT或CDKN2A后,HCC细胞的增殖、迁移和侵袭显著降低。
我们的研究表明,铜死亡影响免疫微环境和细胞间通讯。确定了9个预测生存结果和免疫治疗反应的遗传标记。评估铜死亡信号可优化肝细胞癌的免疫治疗策略。