<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Xianzhong Cheng</submitter><species>Homo Sapiens</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0018238000</full_dataset_link><submitter_email>cxxxxcyd@gmail.com</submitter_email><submitter_affiliation>The Affiliated Cancer Hospital of Nanjing Medical University</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol></additional><is_claimable>false</is_claimable><name>Tumor-Derived Extracellular Vesicle Proteomics Enables Precise Ovarian  Cancer Liquid Biopsy</name><description>Ovarian cancer (OC) remains one of the most lethal gynecological malignancies, and effective non-invasive biomarkers for early diagnosis, postoperative monitoring, and prognosis assessment are still limited. Serum CA125, the current standard biomarker for OC, has limited diagnostic accuracy, particularly in early-stage disease. Cancer-derived extracellular vesicles (EVs) carry tumor-specific proteomic information and represent promising biomarkers; however, their sensitive and specific isolation from complex biological fluids remains challenging. In this project, we developed BP-EVlent, a novel approach that combines polyethylene glycol (PEG)-based precipitation with CA125 immunoaffinity capture to precisely isolate plasma CA125-positive EVs from patients with OC. The performance of BP-EVlent was evaluated using data-independent acquisition mass spectrometry (DIA-MS)-based proteomic analysis of plasma samples from healthy controls (HC), preoperative OC patients (OC-pre), and postoperative OC patients (OC-post</description><dates><publication>Mon Jul 13 00:00:00 GMT+01:00 2026</publication></dates><accession>PXD080966</accession><cross_references><TAXONOMY>9606</TAXONOMY></cross_references></HashMap>