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开发和验证一种新型基于铜死亡和免疫相关的胰腺导管腺癌预后遗传特征。

Development and Verification of a novel cuproptosis- and immune-associated based prognostic genetic signature for pancreatic ductal adenocarcinoma.

机构信息

Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.

Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.

出版信息

Clin Res Hepatol Gastroenterol. 2023 Mar;47(3):102089. doi: 10.1016/j.clinre.2023.102089. Epub 2023 Jan 24.

Abstract

OBJECTIVE

Pancreatic ductal adenocarcinoma (PDAC) is a malignancy with a dismal prognosis. Cuproptosis, a novel mechanism mediated by protein lipoylation, results in acute proteotoxic stress and ultimately cell death. However, the clinical impacts of cuproptosis-associated genes and their relationship with immune status in PDAC have not been documented. In this study, we aimed at constructing a cuproptosis- and immune-associated prognostic signature to stratify and predict the prognosis for PDAC patients.

METHODS

The gene expression profiles of 176 PDAC patients from The Cancer Genome Atlas and 167 normal pancreas tissues from the Genotype-Tissue Expression Project were analyzed for differentially expressed genes (DEGs) between PDAC and normal tissues. Pearson correlation analyses were performed to screen out cuproptosis- and immune-associated DEGs. The risk signature of DEGs was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis, which was validated in the Gene Expression Omnibus (GEO) cohort (n = 114). The immune characteristics in the two risk groups were evaluated using single-sample gene set enrichment analysis and ESTIMATE algorithms.

RESULTS

A total of 91 cuproptosis- and immune-associated DEGs were screened out, and eight prognostic-related genes were identified using LASSO Cox regression. The prognostic-related genes were then used to construct a risk scoring model, which stratified patients into low- and high-risk groups and were further verified in the external GEO database. The patients in the high-risk group had significantly shorter overall survival than those in the low-risk group. A nomogram based on the risk signature was then constructed. Immune infiltration evaluation suggested that immune status was more activated in the low-risk group. The mutation spectrum also differed between high- and low-risk groups.

CONCLUSIONS

Our cuproptosis- and immune-associated genetic risk signature could be a prognostic biomarker for PDAC. Cuproptosis might be a promising therapeutic target for PDAC.

摘要

目的

胰腺导管腺癌(PDAC)是一种预后极差的恶性肿瘤。铜死亡是一种新的由蛋白质脂酰化介导的机制,导致急性蛋白毒性应激,最终导致细胞死亡。然而,铜死亡相关基因在 PDAC 中的临床影响及其与免疫状态的关系尚未得到证实。在这项研究中,我们旨在构建一个铜死亡和免疫相关的预后特征,以对 PDAC 患者进行分层和预测预后。

方法

分析来自癌症基因组图谱的 176 例 PDAC 患者和来自基因型-组织表达计划的 167 例正常胰腺组织的基因表达谱,以筛选 PDAC 与正常组织之间的差异表达基因(DEGs)。进行 Pearson 相关分析以筛选铜死亡和免疫相关的 DEGs。使用最小绝对收缩和选择算子(LASSO)Cox 回归分析构建 DEG 的风险签名,在基因表达综合数据库(GEO)队列(n=114)中进行验证。使用单样本基因集富集分析和 ESTIMATE 算法评估两个风险组中的免疫特征。

结果

筛选出 91 个铜死亡和免疫相关的 DEG,并使用 LASSO Cox 回归鉴定出 8 个预后相关基因。然后,使用这些预后相关基因构建风险评分模型,将患者分为低风险和高风险组,并在外部 GEO 数据库中进一步验证。高风险组的患者总生存期明显短于低风险组。然后基于风险评分构建了一个列线图。免疫浸润评估表明,低风险组的免疫状态更为活跃。高风险组和低风险组之间的突变谱也存在差异。

结论

我们的铜死亡和免疫相关的遗传风险特征可以作为 PDAC 的预后生物标志物。铜死亡可能是 PDAC 有前途的治疗靶点。

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