Medical School, Jinan University, Guangzhou, Guangdong Province, China.
Burn Plastic & Trauma Surgery Department, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Province, China.
Dis Markers. 2021 Dec 3;2021:9919842. doi: 10.1155/2021/9919842. eCollection 2021.
Sarcoma is a rare and an extremely aggressive form of cancer that originates from mesenchymal cells. Pyroptosis exerts a dual effect on tumours by inhibiting tumour cell proliferation while creating a microenvironment suitable for tumour cell development and proliferation. However, the significance of pyroptosis-related gene (PRG) expression in sarcoma has not yet been evaluated. Here, we conduct a retrospective analysis to examine PRG expression in 256 sarcoma samples from The Cancer Genome Atlas database. We identified the PRGs that had a significant correlation with overall patient survival in sarcoma by performing a univariate Cox regression analysis. Subsequently, we conducted a LASSO regression analysis and created a risk model for a six-PRG signature. As indicated from the Kaplan-Meier analysis, this signature revealed a significant difference between high- and low-risk sarcoma patients. A receiver operating characteristic curve analysis confirmed that this signature could predict overall patient survival in sarcoma patients with high sensitivity and specificity. Gene ontology annotation and Kyoto Encyclopaedia of Genes and Genomes pathway enrichment analyses revealed that five independent PRGs were closely associated with increased immune activity. Moreover, we also deciphered that increased number of immune cells infiltrated the tumour microenvironment in sarcoma. In brief, the PRG signature can effectively act as novel prognostic biomarker for sarcoma patients and is associated with the tumour immune microenvironment.
肉瘤是一种罕见且极具侵袭性的癌症,起源于间充质细胞。细胞焦亡通过抑制肿瘤细胞增殖并创造有利于肿瘤细胞发育和增殖的微环境,对肿瘤产生双重影响。然而,细胞焦亡相关基因(PRG)在肉瘤中的表达意义尚未得到评估。在这里,我们对癌症基因组图谱数据库中的 256 个肉瘤样本进行了回顾性分析,以检测 PRG 的表达。通过单因素 Cox 回归分析,我们鉴定出了与肉瘤患者总生存显著相关的 PRGs。随后,我们进行了 LASSO 回归分析,并建立了一个由六个 PRG 组成的风险模型。Kaplan-Meier 分析表明,该标志物在高低危肉瘤患者之间存在显著差异。受试者工作特征曲线分析证实,该标志物对肉瘤患者的总生存具有较高的敏感性和特异性。基因本体注释和京都基因与基因组百科全书通路富集分析表明,五个独立的 PRGs 与免疫活性增加密切相关。此外,我们还揭示了在肉瘤中,更多的免疫细胞浸润肿瘤微环境。总之,PRG 标志物可作为预测肉瘤患者预后的新型生物标志物,并与肿瘤免疫微环境相关。