Department of Interventional Therapy, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Front Immunol. 2022 Jun 20;13:882216. doi: 10.3389/fimmu.2022.882216. eCollection 2022.
Necroptosis, a form of programmed cell death, is increasingly being investigated for its controversial role in tumorigenesis and progression. Necroptosis suppresses tumor formation and tumor development by killing tumor cells; however, the necrotic cells also promote tumor formation and tumor development the immunosuppressive effect of necroptosis and inflammatory response caused by cytokine release. Thus, the exact mechanism of necroptosis in pan-cancer remains unknown.
The data of 11,057 cancer samples were downloaded from the TCGA database, along with clinical information, tumor mutation burden, and microsatellite instability information of the corresponding patients. We used the TCGA data in a pan-cancer analysis to identify differences in mRNA level as well as single nucleotide variants, copy number variants, methylation profiles, and genomic signatures of miRNA-mRNA interactions. Two drug datasets (from GDSC, CTRP) were used to evaluate drug sensitivity and resistance against necroptosis genes.
Necroptosis genes were aberrantly expressed in various cancers. The frequency of necroptosis gene mutations was highest in lung squamous cell carcinoma. Furthermore, the correlation between necroptosis gene expression in the tumor microenvironment and immune cell infiltration varied for different cancers. High necroptosis gene expression was found to correlate with NK, Tfh, Th1, CD8_T, and DC cells. These can therefore be used as biomarkers to predict prognosis. By matching gene targets with drugs, we identified potential candidate drugs.
Our study showed the genomic alterations and clinical features of necroptosis genes in 33 cancers. This may help clarify the link between necroptosis and tumorigenesis. Our findings may also provide new approaches for the clinical treatment of cancer.
细胞程序性坏死(Necroptosis)作为一种细胞死亡方式,其在肿瘤发生和进展中的作用存在争议,目前正受到越来越多的关注。细胞程序性坏死通过杀死肿瘤细胞来抑制肿瘤的形成和发展;然而,坏死细胞也促进肿瘤的形成和发展,其机制与细胞程序性坏死的免疫抑制作用和细胞因子释放引起的炎症反应有关。因此,细胞程序性坏死在泛癌中的确切机制尚不清楚。
从 TCGA 数据库中下载了 11057 个癌症样本的数据,以及相应患者的临床信息、肿瘤突变负担和微卫星不稳定性信息。我们使用 TCGA 数据进行泛癌分析,以确定 mRNA 水平以及单核苷酸变异、拷贝数变异、甲基化谱和 miRNA-mRNA 相互作用的基因组特征的差异。使用两个药物数据集(来自 GDSC 和 CTRP)来评估针对细胞程序性坏死基因的药物敏感性和耐药性。
细胞程序性坏死基因在各种癌症中存在异常表达。在肺鳞癌中,细胞程序性坏死基因的突变频率最高。此外,肿瘤微环境中细胞程序性坏死基因表达与免疫细胞浸润的相关性因癌症类型而异。高细胞程序性坏死基因表达与 NK、Tfh、Th1、CD8_T 和 DC 细胞相关。因此,这些可以作为预测预后的生物标志物。通过将基因靶标与药物匹配,我们确定了潜在的候选药物。
本研究显示了 33 种癌症中细胞程序性坏死基因的基因组改变和临床特征。这可能有助于阐明细胞程序性坏死与肿瘤发生之间的联系。我们的研究结果也可能为癌症的临床治疗提供新的方法。