Evidence map›Paper›PMID 40353459›Full record

ArticleCurrent topics in medicinal chemistry2026

Integrative Analysis Reveals Genes Causal Relation with Ovarian Cancer and aging.

Lan-Hui Qin, Chongze Yang, Rui Song, Pei-Yin Chen, Zijian Jiang, Weihui Xu, Guanzhen Zeng, Jin-Yuan Liao, Liling Long

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Article in Current topics in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Lan-Hui QinDepartment of Radiology, Guangxi Medical University, No.22 Shuangyong Road, Nanning 530021, Guangxi, China.
Chongze YangDepartment of Radiology, Guangxi Medical University, No.22 Shuangyong Road, Nanning 530021, Guangxi, China.
Rui SongDepartment of Radiology, Guangxi Medical University, No.22 Shuangyong Road, Nanning 530021, Guangxi, China.
Pei-Yin ChenDepartment of Radiology, First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, Guangxi 530021, China.
Zijian JiangDepartment of Radiology, Guangxi Medical University, No.22 Shuangyong Road, Nanning 530021, Guangxi, China.
Weihui XuDepartment of Radiology, First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, Guangxi 530021, China.
Guanzhen ZengDepartment of Radiology, First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, Guangxi 530021, China.
Jin-Yuan LiaoDepartment of Radiology, First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, Guangxi 530021, China.
Liling LongDepartment of Radiology, First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, Guangxi 530021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExploring the correlation between ovarian cancer and aging has great significance for understanding the pathogenesis of ovarian cancer and formulating targeted therapeutic regimens.

objectiveThis computational study aims to identify and validate key genes in monocyte subtypes related to ovarian cancer and aging, exploring potential causal relationships.

methodsWe collected single-cell RNA sequencing data (GSE157007, GSE184880), GWAS data (14,049 samples and 40,941 controls from a European population), and eQTL data of ovarian cancer and aging. Using R software packages like Seurat and singleR, we conducted data integration, quality control, cell classification, and differential gene expression analysis to identify intersecting monocyte subtype genes in ovarian cancer and aging. We employed summary data-based Mendelian randomization (SMR) analysis and Heterogeneity in Dependent Instruments (HEIDI) tests to pinpoint causal genes. Further single-cell functional analyses (gene switching, cell communication, metabolic pathway analysis), Bulk RNA sequencing validation, functional enrichment, and protein- protein interaction (PPI) analyses elucidated these genes' biological roles.

resultsThe dataset included 123,280 cells, revealing differential gene expression in classical monocytes (104 genes), intermediate monocytes (43 genes), and myeloid dendritic cells (39 genes). SMR and HEIDI identified causal relationships for 7 genes in classical monocytes, 3 in intermediate monocytes, and 3 in myeloid dendritic cells with ovarian cancer. Bulk RNA seq validation confirmed six monocyte genes as causal in ovarian cancer and aging. TREM1, SERPINB2, and CD44 were upregulated, while DST was downregulated; SLC11A1 and PNRC1 showed contradictory patterns. Interactions with NK and T cells involved LGALS9 - CD44/45 receptors. Riboflavin metabolism was a common enriched pathway.

conclusionThis study identified six specific monocyte genes as potential therapeutic targets for ovarian cancer and aging.

Indexed as

AgingOvarian NeoplasmsFemaleGenome-Wide Association StudyHumansHyaluronan ReceptorsMonocytesTriggering Receptor Expressed on Myeloid Cells-1Hyaluronan ReceptorsTREM1 protein, humanTriggering Receptor Expressed on Myeloid Cells-1AgingGenome-wide association studyOvarian cancerSingle-cell RNA sequencingSummary data-based Mendelian randomization

Identifiers

PMID40353459
PMCPMC13478936

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