Therapeutic and Prognostic Potential of G Protein-Coupled Receptors in Lung Adenocarcinoma: Evidence From Transcriptome Data and In Vitro Experiments

IF 2.3 4区 医学 Q3 RESPIRATORY SYSTEM
Feiyan Yang, Jianye Yang, Guobiao Yang, Ya Zhang
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引用次数: 0

Abstract

Background

G protein-coupled receptors (GPCRs), the largest family of cell-surface molecules involve in various signal transduction, have recently been recognized as important drivers of cancer. However, few studies have reported on the potential of GPCRs as therapeutic targets or biomarkers in lung adenocarcinoma (LUAD).

Methods

The expression profiles and clinical data of LUAD in the GSE30219 and GSE18842 datasets of the Cancer Genome Atlas were analyzed. LUAD-associated module genes were screened utilizing weighted gene co-expression network analysis (WGCNA). Prognostic signature genes were identified by univariate Cox survival analysis, LASSO regression, and multivariate Cox regression analyses. The immune status was evaluated and drug sensitivity was determined, conducting in vitro experiments for validation.

Results

Patients with LUAD exhibited lower GPCR score than the controls, and 38 dysregulated GPCRs were identified by screening with differential analysis and WGCNA module genes. An optimal prognostic signature was identified, including OR51E1, LGR4, ADRB1, ADGRD1, and ADGRE3. The model established based on these five genes harbored moderate predictive performance for the survival of patients with LUAD. The risk score was negatively correlated with the infiltrating levels of multiple immune cells, including M2 macrophages, myeloid dendritic cells, and neutrophils, but positively correlated with fewer immune cells, such as Th1/Th2 CD4 + T cell. ADGRE3 and OR51E1 expression was positively correlated with drug sensitivity, including to cisplatin, ribociclib, and pevonedistat. Silencing OR51E1 inhibited the malignant cytological behaviors of LUAD cells.

Conclusion

GPCRs demonstrated prognostic potential in LUAD, with five genes identified as potential therapeutic targets and prognostic biomarkers for LUAD.

Abstract Image

G蛋白偶联受体在肺腺癌中的治疗和预后潜力:来自转录组数据和体外实验的证据
G蛋白偶联受体(gpcr)是参与各种信号转导的细胞表面分子中最大的家族,最近被认为是癌症的重要驱动因素。然而,很少有研究报道gpcr作为肺腺癌(LUAD)的治疗靶点或生物标志物的潜力。方法分析LUAD在肿瘤基因组图谱GSE30219和GSE18842数据集中的表达谱和临床资料。利用加权基因共表达网络分析(WGCNA)筛选luad相关模块基因。预后标志基因通过单因素Cox生存分析、LASSO回归和多因素Cox回归分析确定。评估免疫状态,测定药物敏感性,进行体外实验验证。结果LUAD患者GPCR评分低于对照组,通过差异分析和WGCNA模块基因筛选鉴定出38个GPCR异常基因。确定了一个最佳预后特征,包括OR51E1、LGR4、ADRB1、ADGRD1和ADGRE3。基于这五个基因建立的模型对LUAD患者的生存具有中等的预测效果。风险评分与M2巨噬细胞、骨髓树突状细胞、中性粒细胞等多种免疫细胞浸润水平呈负相关,与Th1/Th2 CD4 + T细胞等较少免疫细胞浸润水平呈正相关。ADGRE3和OR51E1的表达与药物敏感性呈正相关,包括对顺铂、核素西尼和派维宁的敏感性。沉默OR51E1可抑制LUAD细胞的恶性细胞学行为。结论gpcr在LUAD中具有预后潜力,有5个基因被确定为LUAD的潜在治疗靶点和预后生物标志物。
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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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