biostudies-literatureQu ZScience and Technology Plan Project of Yunnan Provincial Science and Technology DepartmentScientific Research Fund Project of Yunnan Provincial Education Department629https://www.ebi.ac.uk/biostudies/studies/S-EPMC12123731biostudies-literatureUnknown25(1)<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 conBMC pregnancy and childbirthITGB3 and associated molecules as critical biomarkers in Cesarean Scar Pregnancy.PMC121237312025Y03972023Y08022019FE001 (-303)2019FE001 (-049)Cao XLuo ZLu XQu ZXing CYou DWang YZhu BfalseITGB3 and associated molecules as critical biomarkers in Cesarean Scar Pregnancy.<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 con2025-01-01T00:00:00Z2025 May2026-06-03T06:05:57.684Z2026-05-29T03:06:16.193ZS-EPMC121237314044265710.1186/s12884-025-07752-4