Construction of a Prognostic Model Based on Cuproptosis-Related lncRNA Signatures in Pancreatic Cancer.

IF 2.7 4区医学 Q2 Medicine Canadian Journal of Gastroenterology and Hepatology Pub Date : 2022-11-11 eCollection Date: 2022-01-01 DOI:10.1155/2022/4661929

Wenkai Jiang, Yan Du, Wenlong Zhang, Wence Zhou

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引用次数: 6

Abstract

Aim: The aim of this study is to identify cuproptosis-related lncRNAs and construct a prognostic model for pancreatic cancer patients for clinical use.

Methods: The expression profile of lncRNAs was downloaded from The Cancer Genome Atlas database, and cuproptosis-related lncRNAs were identified. The prognostic cuproptosis-related lncRNAs were obtained and used to establish and validate a prognostic risk score model in pancreatic cancer.

Results: In total, 181 cuproptosis-related lncRNAs were obtained. The prognostic risk score model was constructed based on five lncRNAs (AC025257.1, TRAM2-AS1, AC091057.1, LINC01963, and MALAT1). Patients were assigned to two groups according to the median risk score. Kaplan-Meier survival curves showed that the difference in the prognosis between the high- and low-risk groups was statistically significant. Multivariate Cox analysis showed that our risk score was an independent risk factor for pancreatic cancer patients. Receiver operator characteristic curves revealed that the cuproptosis-related lncRNA model can effectively predict the prognosis of pancreatic cancer. The principal component analysis showed a difference between the high- and low-risk groups intuitively. Functional enrichment analysis showed that different genes were involved in cancer-related pathways in patients in the high- and low-risk groups.

Conclusion: The risk model based on five prognostic cuproptosis-related lncRNAs can well predict the prognosis of pancreatic cancer patients. Cuproptosis-related lncRNAs could be potential biomarkers for pancreatic cancer diagnosis and treatment.

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基于胰腺癌杯突相关 lncRNA 标志构建预后模型

目的：本研究旨在鉴定杯突相关lncRNA，并构建胰腺癌患者的预后模型，供临床使用：方法：从癌症基因组图谱数据库中下载lncRNAs的表达谱，并鉴定杯突相关的lncRNAs。方法：从癌症基因组图谱数据库中下载lncRNAs表达谱，鉴定杯突相关lncRNAs，获得预后杯突相关lncRNAs，用于建立和验证胰腺癌预后风险评分模型：结果：共获得181个杯突症相关lncRNA。结果：共获得181个杯突症相关lncRNA，并根据5个lncRNA（ACE025257.1、TRAM2-AS1、AC091057.1、LINC01963和MALAT1）构建了预后风险评分模型。根据中位风险评分将患者分为两组。卡普兰-梅耶生存曲线显示，高危组和低危组的预后差异具有统计学意义。多变量 Cox 分析显示，我们的风险评分是胰腺癌患者的一个独立风险因素。接收者操作特征曲线显示，杯突相关lncRNA模型能有效预测胰腺癌的预后。主成分分析直观地显示了高风险组和低风险组之间的差异。功能富集分析表明，高危组和低危组患者的不同基因参与了癌症相关通路：基于五个预后杯突相关lncRNA的风险模型可以很好地预测胰腺癌患者的预后。杯突相关lncRNA可能成为胰腺癌诊断和治疗的潜在生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Canadian Journal of Gastroenterology and Hepatology GASTROENTEROLOGY & HEPATOLOGY-

CiteScore

4.80

自引率

0.00%

发文量

审稿时长

37 weeks

期刊介绍： Canadian Journal of Gastroenterology and Hepatology is a peer-reviewed, open access journal that publishes original research articles, review articles, and clinical studies in all areas of gastroenterology and liver disease - medicine and surgery. The Canadian Journal of Gastroenterology and Hepatology is sponsored by the Canadian Association of Gastroenterology and the Canadian Association for the Study of the Liver.