Clinical Medical College, Southwest Medical University, Luzhou 646000, China.
Department of General Surgery (Hepatobiliary Surgery), The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.
Cells. 2022 Oct 31;11(21):3436. doi: 10.3390/cells11213436.
In terms of mortality and survival, pancreatic cancer is one of the worst malignancies. Known as a unique type of programmed cell death, cuprotosis contributes to tumor cell growth, angiogenesis, and metastasis. Cuprotosis programmed-cell-death-related lncRNAs (CRLs) have been linked to PAAD, although their functions in the tumor microenvironment and prognosis are not well understood. This study included data from the TCGA-PAAD cohort. Random sampling of PAAD data was conducted, splitting the data into two groups for use as a training set and test set (7:3). We searched for differentially expressed genes that were substantially linked to prognosis using univariate Cox and Lasso regression analysis. Through the use of multivariate Cox proportional risk regression, a risk-rating system for prognosis was developed. Correlations between the CRL signature and clinicopathological characteristics, tumor microenvironment, immunotherapy response, and chemotherapy sensitivity were further evaluated. Lastly, qRT-PCR was used to compare CRL expression in healthy tissues to that in tumors. Some CRLs are thought to have strong correlations with PAAD outcomes. These CRLs include AC005332.6, LINC02041, LINC00857, and AL117382.1. The CRL-based signature construction exhibited outstanding predictive performance and offers a fresh approach to evaluating pre-immune effectiveness, paving the way for future studies in precision immuno-oncology.
在死亡率和存活率方面,胰腺癌是最恶性的癌症之一。细胞铜死亡(Cuprotosis)被认为是一种独特的程序性细胞死亡方式,它促进肿瘤细胞的生长、血管生成和转移。Cuprotosis 程序性细胞死亡相关长非编码 RNA(CRLs)与胰腺癌(PAAD)有关,尽管它们在肿瘤微环境和预后中的功能尚未得到很好的理解。本研究纳入了 TCGA-PAAD 队列的数据。对 PAAD 数据进行随机抽样,将数据分为两组,分别作为训练集和测试集(7:3)。我们使用单变量 Cox 和 Lasso 回归分析寻找与预后密切相关的差异表达基因。通过使用多变量 Cox 比例风险回归,建立了预后风险评分系统。进一步评估了 CRL 特征与临床病理特征、肿瘤微环境、免疫治疗反应和化疗敏感性之间的相关性。最后,通过 qRT-PCR 比较了健康组织和肿瘤组织中 CRL 的表达。一些 CRL 被认为与 PAAD 结果有很强的相关性。这些 CRL 包括 AC005332.6、LINC02041、LINC00857 和 AL117382.1。基于 CRL 的特征构建表现出出色的预测性能,为评估免疫前的有效性提供了一种新方法,为精准免疫肿瘤学的未来研究铺平了道路。