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内质网应激和线粒体自噬的基因特征可预测肺腺癌的预后风险。

Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma.

机构信息

Department of Thoracic Surgery, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.

出版信息

IET Syst Biol. 2024 Jun;18(3):103-117. doi: 10.1049/syb2.12092. Epub 2024 May 30.

Abstract

Genes associated with endoplasmic reticulum stress (ERS) and mitophagy can be conducive to predicting solid tumour prognosis. The authors aimed to develop a prognosis prediction model for these genes in lung adenocarcinoma (LUAD). Relevant gene expression and clinical information were collected from public databases including Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). A total of 265 differentially expressed genes was finally selected (71 up-regulated and 194 downregulated) in the LUAD dataset. Among these, 15 candidate ERS and mitophagy genes (ATG12, CSNK2A1, MAP1LC3A, MAP1LC3B, MFN2, PGAM5, PINK1, RPS27A, SQSTM1, SRC, UBA52, UBB, UBC, ULK1, and VDAC1) might be critical to LUAD based on the expression analysis after crossing with the ERS and mitochondrial autophagy genes. The prediction model demonstrated the ability to effectively predict the 5-, 3-, and 1-year prognoses of LUAD patients in both GEO and TCGA databases. Moreover, high VDAC1 expression was associated with poor overall survival in LUAD (p < 0.001), suggesting it might be a critical gene for LUAD prognosis prediction. Overall, the prognosis model based on ERS and mitophagy genes in LUAD can be useful for evaluating the prognosis of patients with LUAD, and VDAC1 may serve as a promising biomarker for LUAD prognosis.

摘要

与内质网应激 (ERS) 和线粒体自噬相关的基因有助于预测实体瘤的预后。作者旨在为肺腺癌 (LUAD) 建立这些基因的预后预测模型。从包括基因表达综合数据库 (GEO) 和癌症基因组图谱 (TCGA) 在内的公共数据库中收集了相关的基因表达和临床信息。在 LUAD 数据集最终选择了 265 个差异表达基因 (71 个上调和 194 个下调)。其中,根据 ERS 和线粒体自噬基因的表达分析,有 15 个候选 ERS 和线粒体自噬基因 (ATG12、CSNK2A1、MAP1LC3A、MAP1LC3B、MFN2、PGAM5、PINK1、RPS27A、SQSTM1、SRC、UBA52、UBB、UBC、ULK1 和 VDAC1) 可能对 LUAD 至关重要。该预测模型展示了在 GEO 和 TCGA 数据库中有效预测 LUAD 患者 5 年、3 年和 1 年预后的能力。此外,VDAC1 高表达与 LUAD 的总生存期不良相关 (p<0.001),提示其可能是 LUAD 预后预测的关键基因。总的来说,基于 LUAD 中 ERS 和线粒体自噬基因的预后模型可用于评估 LUAD 患者的预后,VDAC1 可能是 LUAD 预后的有前途的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6b1/11179159/313f9f35bf59/SYB2-18-103-g008.jpg

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