<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dutt M</submitter><funding>Cancer Research UK</funding><funding>Medical Research and Materiel Command</funding><funding>UCLH Biomedical Research Centre</funding><funding>Medical Research Council</funding><funding>QIMR Berghofer Medical Research Institute</funding><funding>National Institute for Health Research (NIHR)</funding><funding>National Health and Medical Research Council</funding><funding>Ovarian Cancer Australia</funding><pagination>e2200114</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7615076</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(4)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>This study aimed to identify serum glycoprotein biomarkers for early detection of high-grade serous ovarian cancer (HGSOC), the most common and aggressive histotype of ovarian cancer.&lt;h4>Experimental design&lt;/h4>The glycoproteomics pipeline lectin magnetic bead array (LeMBA)-mass spectrometry (MS) was used in age-matched case-control serum samples. Clinical samples collected at diagnosis were divided into discovery (n = 30) and validation (n = 98) sets. We also analysed a set of preclinical sera (n = 30) collected prior to HGSOC diagnosis in the UK Collaborative Trial of Ovarian Cancer Screening.&lt;h4>Results&lt;/h4>A 7-lectin LeMBA-MS/MS discovery screen shortlisted 59 candidate proteins and three lectins. Validation analysis using 3-lectin LeMBA-multiple reaction monitoring (MRM) confirmed elevated A1AT, AACT, CO9, HPT and ITIH3 and reduced A2MG, ALS, IBP3 and PON1 glycoforms in HGSOC. The best performing multimarker signature had 87.7% area under the receiver operating curve, 90.7% specificity and 70.4% sensitivity for distinguishing HGSOC from benign and healthy groups. In the preclinical set, CO9, ITIH3 and A2MG glycoforms were altered in samples collected 11.1 ± 5.1 months prior to HGSOC diagnosis, suggesting potential for early detection.&lt;h4>Conclusions and clinical relevance&lt;/h4>Our findings provide evidence of candidate early HGSOC serum glycoprotein biomarkers, laying the foundation for further study in larger cohorts.</pubmed_abstract><journal>Proteomics. Clinical applications</journal><pubmed_title>Discovery and validation of serum glycoprotein biomarkers for high grade serous ovarian cancer.</pubmed_title><pmcid>PMC7615076</pmcid><funding_grant_id>DAMD17‐01‐1‐0729</funding_grant_id><funding_grant_id>G0801228</funding_grant_id><funding_grant_id>N/A</funding_grant_id><funding_grant_id>ID400281</funding_grant_id><funding_grant_id>ID199600</funding_grant_id><funding_grant_id>ID400413</funding_grant_id><funding_grant_id>MC_UU_00004/01</funding_grant_id><funding_grant_id>C1479/A2884</funding_grant_id><funding_grant_id>G9901012</funding_grant_id><pubmed_authors>Menon U</pubmed_authors><pubmed_authors>Hartel G</pubmed_authors><pubmed_authors>Hooper JD</pubmed_authors><pubmed_authors>Australian Ovarian Cancer Study Group</pubmed_authors><pubmed_authors>Mohamed A</pubmed_authors><pubmed_authors>Richards RS</pubmed_authors><pubmed_authors>Gentry-Maharaj A</pubmed_authors><pubmed_authors>Shah AK</pubmed_authors><pubmed_authors>Dutt M</pubmed_authors><pubmed_authors>Apostolidou S</pubmed_authors><pubmed_authors>Hill MM</pubmed_authors><pubmed_authors>Perrin LC</pubmed_authors></additional><is_claimable>false</is_claimable><name>Discovery and validation of serum glycoprotein biomarkers for high grade serous ovarian cancer.</name><description>&lt;h4>Purpose&lt;/h4>This study aimed to identify serum glycoprotein biomarkers for early detection of high-grade serous ovarian cancer (HGSOC), the most common and aggressive histotype of ovarian cancer.&lt;h4>Experimental design&lt;/h4>The glycoproteomics pipeline lectin magnetic bead array (LeMBA)-mass spectrometry (MS) was used in age-matched case-control serum samples. Clinical samples collected at diagnosis were divided into discovery (n = 30) and validation (n = 98) sets. We also analysed a set of preclinical sera (n = 30) collected prior to HGSOC diagnosis in the UK Collaborative Trial of Ovarian Cancer Screening.&lt;h4>Results&lt;/h4>A 7-lectin LeMBA-MS/MS discovery screen shortlisted 59 candidate proteins and three lectins. Validation analysis using 3-lectin LeMBA-multiple reaction monitoring (MRM) confirmed elevated A1AT, AACT, CO9, HPT and ITIH3 and reduced A2MG, ALS, IBP3 and PON1 glycoforms in HGSOC. The best performing multimarker signature had 87.7% area under the receiver operating curve, 90.7% specificity and 70.4% sensitivity for distinguishing HGSOC from benign and healthy groups. In the preclinical set, CO9, ITIH3 and A2MG glycoforms were altered in samples collected 11.1 ± 5.1 months prior to HGSOC diagnosis, suggesting potential for early detection.&lt;h4>Conclusions and clinical relevance&lt;/h4>Our findings provide evidence of candidate early HGSOC serum glycoprotein biomarkers, laying the foundation for further study in larger cohorts.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jul</publication><modification>2026-06-08T06:38:49.058Z</modification><creation>2026-06-08T03:14:35.125Z</creation></dates><accession>S-EPMC7615076</accession><cross_references><pubmed>37147936</pubmed><doi>10.1002/prca.202200114</doi></cross_references></HashMap>