{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Qu Z"],"funding":["Science and Technology Plan Project of Yunnan Provincial Science and Technology Department","Scientific Research Fund Project of Yunnan Provincial Education Department"],"pagination":["629"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12123731"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_abstract":["<h4>Background</h4>Cesarean scar pregnancy (CSP) is a life-threatening condition with a rising incidence in China. The pathogenesis of CSP remains poorly understood, partly due to the limited availability of comprehensive datasets constrained by spatiotemporal factors.<h4>Objective</h4>This study aimed to explore key regulatory molecules and mechanisms involved in CSP through a multi-omics approach.<h4>Methods</h4>Proteomic analysis was performed on decidual and villous tissues from clinical patients (n = 6, including 3 CSP cases and 3 controls). Gene expression datasets (n = 9) were obtained from the GEO and SRA databases. Bioinformatics analyses were conducted using DAVID, Metascape, and STRING, with transcription factor prediction performed via the JASPAR database. Data analysis was con"],"journal":["BMC pregnancy and childbirth"],"pubmed_title":["ITGB3 and associated molecules as critical biomarkers in Cesarean Scar Pregnancy."],"pmcid":["PMC12123731"],"funding_grant_id":["2025Y0397","2023Y0802","2019FE001 (-303)","2019FE001 (-049)"],"pubmed_authors":["Cao X","Luo Z","Lu X","Qu Z","Xing C","You D","Wang Y","Zhu B"],"additional_accession":[]},"is_claimable":false,"name":"ITGB3 and associated molecules as critical biomarkers in Cesarean Scar Pregnancy.","description":"<h4>Background</h4>Cesarean scar pregnancy (CSP) is a life-threatening condition with a rising incidence in China. The pathogenesis of CSP remains poorly understood, partly due to the limited availability of comprehensive datasets constrained by spatiotemporal factors.<h4>Objective</h4>This study aimed to explore key regulatory molecules and mechanisms involved in CSP through a multi-omics approach.<h4>Methods</h4>Proteomic analysis was performed on decidual and villous tissues from clinical patients (n = 6, including 3 CSP cases and 3 controls). Gene expression datasets (n = 9) were obtained from the GEO and SRA databases. Bioinformatics analyses were conducted using DAVID, Metascape, and STRING, with transcription factor prediction performed via the JASPAR database. Data analysis was con","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 May","modification":"2026-06-03T06:05:57.684Z","creation":"2026-05-29T03:06:16.193Z"},"accession":"S-EPMC12123731","cross_references":{"pubmed":["40442657"],"doi":["10.1186/s12884-025-07752-4"]}}