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肺腺癌中不同 EGFR 突变下受影响的疾病相关细胞蛋白网络存在差异。

Disease-related cellular protein networks differentially affected under different EGFR mutations in lung adenocarcinoma.

机构信息

Department of Translational Medicine Informatics, St. Marianna University School of Medicine, Kawasaki, Kanagawa, 216-8511, Japan.

Department of Chest Surgery, St. Marianna University School of Medicine, Kawasaki, Kanagawa, 216-8511, Japan.

出版信息

Sci Rep. 2020 Jul 2;10(1):10881. doi: 10.1038/s41598-020-67894-7.

Abstract

It is unclear how epidermal growth factor receptor EGFR major driver mutations (L858R or Ex19del) affect downstream molecular networks and pathways. This study aimed to provide information on the influences of these mutations. The study assessed 36 protein expression profiles of lung adenocarcinoma (Ex19del, nine; L858R, nine; no Ex19del/L858R, 18). Weighted gene co-expression network analysis together with analysis of variance-based screening identified 13 co-expressed modules and their eigen proteins. Pathway enrichment analysis for the Ex19del mutation demonstrated involvement of SUMOylation, epithelial and mesenchymal transition, ERK/mitogen-activated protein kinase signalling via phosphorylation and Hippo signalling. Additionally, analysis for the L858R mutation identified various pathways related to cancer cell survival and death. With regard to the Ex19del mutation, ROCK, RPS6KA1, ARF1, IL2RA and several ErbB pathways were upregulated, whereas AURK and GSKIP were downregulated. With regard to the L858R mutation, RB1, TSC22D3 and DOCK1 were downregulated, whereas various networks, including VEGFA, were moderately upregulated. In all mutation types, CD80/CD86 (B7), MHC, CIITA and IFGN were activated, whereas CD37 and SAFB were inhibited. Costimulatory immune-checkpoint pathways by B7/CD28 were mainly activated, whereas those by PD-1/PD-L1 were inhibited. Our findings may help identify potential therapeutic targets and develop therapeutic strategies to improve patient outcomes.

摘要

表皮生长因子受体 EGFR 主要驱动突变(L858R 或 Ex19del)如何影响下游分子网络和途径尚不清楚。本研究旨在提供有关这些突变影响的信息。该研究评估了 36 例肺腺癌(Ex19del,9 例;L858R,9 例;无 Ex19del/L858R,18 例)的蛋白表达谱。加权基因共表达网络分析和基于方差分析的筛选鉴定了 13 个共表达模块及其特征蛋白。Ex19del 突变的通路富集分析显示,SUMO 化、上皮间质转化、ERK/丝裂原活化蛋白激酶信号转导磷酸化和 Hippo 信号通路参与其中。此外,对 L858R 突变的分析确定了与癌细胞存活和死亡相关的多种途径。关于 Ex19del 突变,ROCK、RPS6KA1、ARF1、IL2RA 和几个 ErbB 途径上调,而 AURK 和 GSKIP 下调。关于 L858R 突变,RB1、TSC22D3 和 DOCK1 下调,而包括 VEGFA 在内的多种网络中度上调。在所有突变类型中,CD80/CD86(B7)、MHC、CIITA 和 IFGN 被激活,而 CD37 和 SAFB 被抑制。B7/CD28 的共刺激免疫检查点途径主要被激活,而 PD-1/PD-L1 的途径被抑制。我们的发现可能有助于确定潜在的治疗靶点,并制定治疗策略,以改善患者的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a11f/7331587/67d8866fb8d2/41598_2020_67894_Fig1_HTML.jpg

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