{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Monasta L"],"funding":["Italian Ministry of Health"],"pagination":["11498"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12691889"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["26(23)"],"pubmed_abstract":["Endometrial cancers (ECs) are mainly adenocarcinomas arising from the uterine endometrium. In this work, we employed data-independent acquisition (DIA) mass spectrometry (MS)-based label-free quantification (LFQ-MS) proteomics to analyze the proteome of tissue washings collected from 25 control (CTRL) subjects, 25 patients with low-grade type 1 endometrial cancer (EC), and 24 patients with high-grade type 1 EC. Following quantification and statistical analysis, we identified 42 proteins able to discriminate CTRL from EC patients, and 151 proteins differentiating high-grade EC cases from low-grade EC cases. Notably, <i>PRRC2A</i> and <i>SYDE2</i> effectively distinguished both EC patients from controls and advanced EC cases from low-grade EC cases. Validation by Western blot analysis in an "],"journal":["International journal of molecular sciences"],"pubmed_title":["Data-Independent Acquisition (DIA)-Based Proteomics for the Identification of Biomarkers in Tissue Washings of Endometrial Cancer."],"pmcid":["PMC12691889"],"funding_grant_id":["5x1000 SD 18\\19"],"pubmed_authors":["Monasta L","Kharrat F","Capaci V","Aloisio M","Balasan N","Ura B","Romano F","Golino V","Ciampechini M","Ricci G","Conti A","Licastro D","Di Lorenzo G","Campiglia P"],"additional_accession":[]},"is_claimable":false,"name":"Data-Independent Acquisition (DIA)-Based Proteomics for the Identification of Biomarkers in Tissue Washings of Endometrial Cancer.","description":"Endometrial cancers (ECs) are mainly adenocarcinomas arising from the uterine endometrium. In this work, we employed data-independent acquisition (DIA) mass spectrometry (MS)-based label-free quantification (LFQ-MS) proteomics to analyze the proteome of tissue washings collected from 25 control (CTRL) subjects, 25 patients with low-grade type 1 endometrial cancer (EC), and 24 patients with high-grade type 1 EC. Following quantification and statistical analysis, we identified 42 proteins able to discriminate CTRL from EC patients, and 151 proteins differentiating high-grade EC cases from low-grade EC cases. Notably, <i>PRRC2A</i> and <i>SYDE2</i> effectively distinguished both EC patients from controls and advanced EC cases from low-grade EC cases. Validation by Western blot analysis in an ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Nov","modification":"2026-05-26T14:03:39.574Z","creation":"2026-05-24T03:11:45.521Z"},"accession":"S-EPMC12691889","cross_references":{"pubmed":["41373651"],"doi":["10.3390/ijms262311498"]}}