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血清外泌体 m6A 去甲基化酶 FTO 通过上调 FLRT3、PTGIS 和 SIRPα 的表达促进非小细胞肺癌对吉非替尼的耐药性。

Serum exosomal m6A demethylase FTO promotes gefitinib resistance in non-small cell lung cancer by up-regulating FLRT3, PTGIS and SIRPα expression.

机构信息

Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, 130041, China.

Orthopedic Research Center, The Second Hospital of Jilin University, Changchun, Jilin, 130041, China.

出版信息

Pulm Pharmacol Ther. 2023 Oct;82:102227. doi: 10.1016/j.pupt.2023.102227. Epub 2023 Jun 16.

Abstract

This study investigates the molecular mechanism of FTO m6A demethylase in non-small cell lung cancer (NSCLC) and gefitinib resistance using GEO and TCGA databases. Differentially expressed genes (DEGs) were screened from RNA-seq data sets of serum exosomes of gefitinib-resistant NSCLC patients in the GEO database and the NSCLC data set in the GEPIA2 database. From this analysis, FTO m6A demethylase was found to be significantly upregulated in the serum exosomes of gefitinib-resistant NSCLC patients. To identify downstream genes affected by FTO m6A demethylase, weighted correlation network analysis and differential expression analysis were performed, resulting in the identification of three key downstream genes (FLRT3, PTGIS, and SIRPA). Using these genes, the authors constructed a prognostic risk assessment model. Patients with high-risk scores exhibited a significantly worse prognosis. The model could predict the prognosis of NSCLC with high accuracy measured by AUC values of 0.588, 0.608, and 0.603 at 1, 3, and 5 years respectively. Furthermore, m6A sites were found in FLRT3, PTGIS, and SIRPA genes, and FTO was significantly positively correlated with the expression of these downstream genes. Overall, FTO m6A demethylase promotes gefitinib resistance in NSCLC patients by upregulating downstream FLRT3, PTGIS, and SIRPA expression, with these three downstream genes serving as strong prognostic indicators.

摘要

本研究利用 GEO 和 TCGA 数据库,探讨 FTO m6A 去甲基酶在非小细胞肺癌(NSCLC)和吉非替尼耐药中的分子机制。从 GEO 数据库中吉非替尼耐药 NSCLC 患者血清外泌体的 RNA-seq 数据集和 GEPIA2 数据库中的 NSCLC 数据集筛选差异表达基因(DEGs)。通过分析发现,FTO m6A 去甲基酶在吉非替尼耐药 NSCLC 患者的血清外泌体中显著上调。为了鉴定受 FTO m6A 去甲基酶影响的下游基因,进行了加权相关网络分析和差异表达分析,鉴定出三个关键的下游基因(FLRT3、PTGIS 和 SIRPA)。利用这些基因,作者构建了一个预后风险评估模型。高风险评分的患者预后明显较差。该模型通过 AUC 值在 1、3 和 5 年时分别为 0.588、0.608 和 0.603,可准确预测 NSCLC 的预后。此外,在 FLRT3、PTGIS 和 SIRPA 基因中发现了 m6A 位点,FTO 与这些下游基因的表达呈显著正相关。总之,FTO m6A 去甲基酶通过上调下游 FLRT3、PTGIS 和 SIRPA 的表达,促进 NSCLC 患者对吉非替尼的耐药性,这三个下游基因是强有力的预后指标。

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