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基于 PANoptosis 相关基因与肿瘤异质性的关联预测多种癌症的预后和免疫治疗反应。

Predicting Prognosis and Immunotherapy Response in Multiple Cancers Based on the Association of PANoptosis-Related Genes with Tumor Heterogeneity.

机构信息

Department of Immunology, School of Medicine, Nantong University, 19 Qixiu Road, Nantong 226001, China.

Basic Medical Research Center, School of Medicine, Nantong University, Nantong 226019, China.

出版信息

Genes (Basel). 2023 Oct 25;14(11):1994. doi: 10.3390/genes14111994.

Abstract

PANoptosis is a newly recognized inflammatory pathway for programmed cell death (PCD). It participates in regulating the internal environment, homeostasis, and disease process in various complex ways and plays a crucial role in tumor development, but its mechanism of action is still unclear. In this study, we comprehensively analyzed the expression of 14 PANoptosis-related genes (PANRGs) in 28 types of tumors. Most PANRGs are upregulated in tumors, including Z-DNA binding protein 1 (), nucleotide-binding oligomerization domain (NOD)-like receptor pyrin domain-containing 3 (), caspase () 1, , , , , , , and . PANRGs are highly expressed in GBM, LGG, and PAAD, while their levels in ACC are much lower than those in normal tissues. We found that both the CNV and SNV gene sets in BLCA are closely related to survival performance. Subsequently, we conducted clustering and LASSO analysis on each tumor and found that the inhibitory and the stimulating immune checkpoints positively correlate with , , , , and . The immune infiltration results indicated that KIRC is associated with most infiltrating immune cells. According to the six tumor dryness indicators, PANRGs in LGG show the strongest tumor dryness but have a negative correlation with RNAss. In KIRC, LIHC, and TGCT, most PANRGs play an important role in tumor heterogeneity. Additionally, we analyzed the linear relationship between PANRGs and miRNA and found that correlates to many miRNAs in most cancers. Finally, we predicted the possible drugs for targeted therapy of the cancers. These data greatly enhance our understanding of the components of cancer and may lead to the discovery of new biomarkers for predicting immunotherapy response and improving the prognosis of cancer patients.

摘要

细胞程序性死亡(PCD)的一种新发现的炎症途径是全凋亡。它通过多种复杂方式参与调节内环境、动态平衡和疾病进程,并在肿瘤发展中发挥关键作用,但作用机制尚不清楚。在本研究中,我们综合分析了 28 种肿瘤中 14 种全凋亡相关基因(PANRGs)的表达情况。大多数 PANRGs 在肿瘤中上调,包括 Z 型 DNA 结合蛋白 1()、核苷酸结合寡聚化结构域(NOD)样受体含吡咯烷结构域蛋白 3()、半胱氨酸蛋白酶()1、、、、、、和。PANRGs 在 GBM、LGG 和 PAAD 中高表达,而在 ACC 中的表达水平远低于正常组织。我们发现 BLCA 中的 CNV 和 SNV 基因集均与生存性能密切相关。随后,我们对每种肿瘤进行聚类和 LASSO 分析,发现抑制性和刺激性免疫检查点与、、、和呈正相关。免疫浸润结果表明 KIRC 与大多数浸润免疫细胞相关。根据六个肿瘤干性指标,LGG 中的 PANRGs 表现出最强的肿瘤干性,但与 RNAss 呈负相关。在 KIRC、LIHC 和 TGCT 中,大多数 PANRGs 在肿瘤异质性中发挥重要作用。此外,我们分析了 PANRGs 与 miRNA 之间的线性关系,发现 与大多数癌症中的许多 miRNA 相关。最后,我们预测了癌症靶向治疗的可能药物。这些数据极大地增强了我们对癌症成分的理解,可能导致发现新的生物标志物来预测免疫治疗反应,并改善癌症患者的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f89/10671595/28b5c751516c/genes-14-01994-g001.jpg

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