Integrated eQTL-pQTL Mendelian randomization and single-cell sequencing reveal therapeutic targets in ovarian clear cell cancer

整合eQTL-pQTL孟德尔随机化和单细胞测序揭示卵巢透明细胞癌的治疗靶点

阅读:2

Abstract

BACKGROUND: Ovarian clear cell cancer (OCCC) is a pathological type of ovarian cancer. OCCC responds poorly to platinum-based chemotherapy drugs and immunotherapy. Currently, there is a lack of targeted drugs for OCCC. It is very urgent to find new therapeutic targets for OCCC. METHODS: We used data from the eQTLGen consortium and deCODE, combined with large Genome-Wide Association Study (GWAS) cohort data, to perform drug target Mendelian randomization (MR) analysis. Colocalization analysis was used to identify target genes. Then, we analyzed single-cell sequencing data from the GEO database, combing with gene enrichment analysis to explore possible molecular mechanisms. Drug screening and molecular docking verified the medicinal value of the targets. RESULTS: Three genes were selected in the MR analysis. Colocalization supported two of them, PPP1R14A and PTGS2. Single-cell sequencing analysis showed that these genes were related to tumor immunity. Drug prediction and molecular docking showed that PTGS2 had druggable potential. CONCLUSIONS: This study identified two potential drug targets for OCCC. These drug targets may be relevant to tumor immunotherapy. However, further studies are necessary to confirm these findings and clarify the underlying mechanisms.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。