关键词: bioinformatics genomics lung tumours

Mesh : Humans Mitophagy / genetics Endoplasmic Reticulum Stress / genetics Prognosis Adenocarcinoma of Lung / genetics pathology metabolism Lung Neoplasms / genetics pathology metabolism Voltage-Dependent Anion Channel 1 / genetics metabolism Gene Expression Regulation, Neoplastic Biomarkers, Tumor / genetics metabolism Gene Expression Profiling Transcriptome

来  源:   DOI:10.1049/syb2.12092   PDF(Pubmed)

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。作者旨在开发这些基因在肺腺癌(LUAD)中的预后预测模型。从包括基因表达综合(GEO)和癌症基因组图谱(TCGA)的公共数据库收集相关基因表达和临床信息。最终在LUAD数据集中选择了总共265个差异表达的基因(71个上调和194个下调)。其中,15个候选ERS和线粒体自噬基因(ATG12,CSNK2A1,MAP1LC3A,MAP1LC3B,MFN2,PGAM5,PINK1,RPS27A,SQSTM1、SRC、UBA52UBB,UBC,根据与ERS和线粒体自噬基因杂交后的表达分析,ULK1和VDAC1)可能对LUAD至关重要。预测模型证明了有效预测5-,3-,GEO和TCGA数据库中LUAD患者的1年预后。此外,高VDAC1表达与LUAD患者总生存率低相关(p<0.001),提示它可能是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,和VDAC1可能作为LUAD预后的有希望的生物标志物。
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