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基于二硫键死亡基因相关lncRNA预测胰腺癌的预后及免疫特征

To Predict the Prognosis and Immunological Characteristics of Pancreatic Cancer Based on Disulfide-Death Gene Death-Related lncRNA.

作者信息

Liao Zhihong, Dai Tianxing, Yuan Feng, Li Kai, Wang Guoying

机构信息

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China.

出版信息

Biomedicines. 2025 Apr 9;13(4):924. doi: 10.3390/biomedicines13040924.

Abstract

Disulfide-dependent cell death, known as disulfide death, plays a pivotal regulatory role in the onset and progression of various cancers including pancreatic cancer. Despite its significance, little attention has been given to the study of disulfide death-related long non-coding RNAs (lncRNAs) in pancreatic cancer development and progression. This study utilized data from the Cancer Genome Atlas Project (TCGA) to analyze the transcriptome of pancreatic cancer. Co-expression analysis of genes associated with disulfide death was performed and six lncRNAs closely linked to disulfide death were identified through univariate and multivariate analysis. These lncRNAs were used to develop clinical prognostic models. The prognostic value of this model was then analyzed and further investigations included pathway enrichment analysis, tumor mutation load analysis, immune cell infiltration analysis, analysis of the tumor microenvironment (TME), and drug sensitivity analysis. The developed prognostic model based on disulfide-associated lncRNAs exhibited significant prognostic value, allowing for reliable predictions of patient outcomes in pancreatic adenocarcinoma (PAAD). The analysis revealed that the six identified lncRNAs serve as independent prognostic factors, significantly correlating with patient survival and recurrence rates. Additionally, findings indicated notable differences in immune cell infiltration and drug sensitivity between high-risk and low-risk patient groups, suggesting potential therapeutic targets for enhancing treatment efficacy. Our findings revealed six disulfide death-associated lncRNAs with independent prognostic value, offering a crucial indicator for predicting the prognosis of pancreatic adenocarcinoma (PAAD) patients. Additionally, the analysis of tumor immune invasion and drug sensitivity provides a novel avenue for controlling tumor invasion and metastasis as well as reducing drug tolerance.

摘要

二硫键依赖性细胞死亡,即二硫键死亡,在包括胰腺癌在内的各种癌症的发生和发展中起着关键的调节作用。尽管其具有重要意义,但在胰腺癌发生和发展过程中,与二硫键死亡相关的长链非编码RNA(lncRNA)的研究却很少受到关注。本研究利用癌症基因组图谱计划(TCGA)的数据来分析胰腺癌的转录组。对与二硫键死亡相关的基因进行了共表达分析,并通过单变量和多变量分析鉴定出六个与二硫键死亡密切相关的lncRNA。这些lncRNA被用于建立临床预后模型。然后分析了该模型的预后价值,进一步的研究包括通路富集分析、肿瘤突变负荷分析、免疫细胞浸润分析、肿瘤微环境(TME)分析和药物敏感性分析。基于二硫键相关lncRNA建立的预后模型具有显著的预后价值,能够可靠地预测胰腺腺癌(PAAD)患者的预后。分析表明,鉴定出的六个lncRNA作为独立的预后因素,与患者的生存率和复发率显著相关。此外,研究结果表明,高危和低危患者组在免疫细胞浸润和药物敏感性方面存在显著差异,这提示了提高治疗效果的潜在治疗靶点。我们的研究结果揭示了六个具有独立预后价值的二硫键死亡相关lncRNA,为预测胰腺腺癌(PAAD)患者的预后提供了一个关键指标。此外,对肿瘤免疫侵袭和药物敏感性的分析为控制肿瘤侵袭和转移以及降低药物耐受性提供了一条新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa85/12024541/3f6f530e72c2/biomedicines-13-00924-g001.jpg

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