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基于生物信息学分析鉴定内分泌肿瘤中 G 蛋白偶联受体的失调表达:潜在的药物靶点?

Identification of Dysregulated Expression of G Protein Coupled Receptors in Endocrine Tumors by Bioinformatics Analysis: Potential Drug Targets?

机构信息

Département d'Endocrinologie-Diabétologie Nutrition, Centre Hospitalier Universitaire (CHU) d'Angers, 49933 Angers, France.

Laboratoire MITOVASC, UMR CNRS 6015, INSERM 1083, Université d'Angers, 49100 Angers, France.

出版信息

Cells. 2022 Feb 17;11(4):703. doi: 10.3390/cells11040703.

Abstract

BACKGROUND

Many studies link G protein-coupled receptors (GPCRs) to cancer. Some endocrine tumors are unresponsive to standard treatment and/or require long-term and poorly tolerated treatment. This study explored, by bioinformatics analysis, the tumoral profiling of the GPCR transcriptome to identify potential targets in these tumors aiming at drug repurposing.

METHODS

We explored the GPCR differentially expressed genes (DEGs) from public datasets (Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas (TCGA)). The GEO datasets were available for two medullary thyroid cancers (MTCs), eighty-seven pheochromocytomas (PHEOs), sixty-one paragangliomas (PGLs), forty-seven pituitary adenomas and one-hundred-fifty adrenocortical cancers (ACCs). The TCGA dataset covered 92 ACCs. We identified GPCRs targeted by approved drugs from pharmacological databases (ChEMBL and DrugBank).

RESULTS

The profiling of dysregulated GPCRs was tumor specific. In MTC, we found 14 GPCR DEGs, including an upregulation of the dopamine receptor () and adenosine receptor (), which were the target of many drugs. In PGL, seven GPCR genes were downregulated, including vasopressin receptor () and PTH receptor (), which were targeted by approved drugs. In ACC, was also downregulated in both the GEO and TCGA datasets and was the target of osteoporosis drugs.

CONCLUSIONS

We highlight specific GPCR signatures across the major endocrine tumors. These data could help to identify new opportunities for drug repurposing.

摘要

背景

许多研究将 G 蛋白偶联受体 (GPCR) 与癌症联系起来。一些内分泌肿瘤对标准治疗无反应,或者需要长期和耐受性差的治疗。本研究通过生物信息学分析探索了 GPCR 转录组的肿瘤特征,以确定这些肿瘤中的潜在靶点,旨在进行药物再利用。

方法

我们从公共数据集(基因表达综合数据库 (GEO) 和癌症基因组图谱 (TCGA))中探索了差异表达的 GPCR 基因 (DEGs)。GEO 数据集可用于两种甲状腺髓样癌 (MTC)、八十七例嗜铬细胞瘤 (PHEO)、六十一例副神经节瘤 (PGL)、四十七个垂体腺瘤和一百五十个肾上腺皮质癌 (ACC)。TCGA 数据集涵盖了 92 个 ACC。我们从药理学数据库 (ChEMBL 和 DrugBank) 中确定了被批准药物靶向的 GPCR。

结果

失调 GPCR 的分析是肿瘤特异性的。在 MTC 中,我们发现了 14 个 GPCR DEGs,包括多巴胺受体 () 和腺苷受体 () 的上调,它们是许多药物的靶点。在 PGL 中,有七个 GPCR 基因下调,包括血管加压素受体 () 和甲状旁腺激素受体 (),它们是被批准药物的靶点。在 ACC 中,GEO 和 TCGA 数据集均下调,是骨质疏松症药物的靶点。

结论

我们强调了主要内分泌肿瘤中特定的 GPCR 特征。这些数据可以帮助确定药物再利用的新机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d69/8870215/4987b67eeaff/cells-11-00703-g001.jpg

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