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肝细胞癌中非凋亡性程序性细胞死亡的相互作用揭示了预后及治疗优化。

Crosstalk of non-apoptotic RCD panel in hepatocellular carcinoma reveals the prognostic and therapeutic optimization.

作者信息

Li Shuo, Xu Yaqi, Hu Xin, Chen Hao, Xi Xiaodan, Long Fei, Rong Yuan, Wang Jun, Yuan Chunhui, Liang Chen, Wang Fubing

机构信息

Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.

Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.

出版信息

iScience. 2024 May 6;27(6):109901. doi: 10.1016/j.isci.2024.109901. eCollection 2024 Jun 21.

Abstract

Non-apoptotic regulated cell death (RCD) of tumor cells profoundly affects tumor progression and plays critical roles in determining response to immune checkpoint inhibitors (ICIs). Prognosis-distinctive HCC subtypes were identified by consensus cluster analysis based on the expressions of 507 non-apoptotic RCD genes obtained from databases and literature. Meanwhile, a set of bioinformatic tools was integrated to analyze the differences of the tumor immune microenvironment infiltration, genetic mutation, copy number variation, and epigenetics alternations within two subtypes. Finally, a non-apoptotic RCDRS signature was constructed and its reliability was evaluated in HCC patients' tissues. The high-RCDRS HCC subgroup showed a significantly lower overall survival and less sensitivity to ICIs compared to low-RCDRS subgroup, but higher sensitivity to cisplatin, paclitaxel, and sorafenib. Overall, we established an RCDRS panel consisting of four non-apoptotic RCD genes, which might be a promising predictor for evaluating HCC prognosis, guiding therapeutic decision-making, and ultimately improving patient outcomes.

摘要

肿瘤细胞的非凋亡性调节性细胞死亡(RCD)深刻影响肿瘤进展,并在决定对免疫检查点抑制剂(ICI)的反应中起关键作用。基于从数据库和文献中获得的507个非凋亡性RCD基因的表达,通过共识聚类分析鉴定了具有不同预后的肝癌亚型。同时,整合了一套生物信息学工具,以分析两种亚型内肿瘤免疫微环境浸润、基因突变、拷贝数变异和表观遗传学改变的差异。最后,构建了非凋亡性RCDRS特征,并在肝癌患者组织中评估了其可靠性。与低RCDRS亚组相比,高RCDRS肝癌亚组的总生存期显著更低,对ICI的敏感性更低,但对顺铂、紫杉醇和索拉非尼的敏感性更高。总体而言,我们建立了一个由四个非凋亡性RCD基因组成的RCDRS面板,这可能是评估肝癌预后、指导治疗决策并最终改善患者结局的有前景的预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c84/11126946/11adc9bcf8f5/fx1.jpg

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