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Until today lacking a screening tool. A blood-based biomarker could help address this need.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>The expression levels of 30 acylcarnitines, 18 amino acids, 6 miRNAs, and 7 DNA methylation sites were measured in blood samples from 331 women (20 EC, 14 benign uterine lesions (benign), 140 breast cancers (BC), 157 controls). Areas under the ROC curves (AUC), sensitivity (sens.) and specificity (spec.) were computed to identify the variables best distinguishing.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The best top ten markers for the four comparisons (cancer vs. cancer-free; EC vs. BC, EC vs. controls; EC vs. benign), were identified via AUC. Malonylcarnitine distinguished best patients with EC from controls (AUC: 0.827, sens. 80%, spec. 73.1%) or BC (AUC: 0.819, sens. 84.3%, spec. 80%) being most notable. Tryptophan best differentiated benign from EC (AUC: 0.846, sens. 70%, spec. 92.9%).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>The levels of the analyzed blood markers yielded promising results in the detection of EC and warrant further evaluation.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00404-022-06482-8","type":"journal-article","created":{"date-parts":[[2022,3,13]],"date-time":"2022-03-13T17:02:15Z","timestamp":1647190935000},"page":"1623-1632","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Potential of blood-based biomarker approaches in endometrium and breast cancer: a case-control comparison study"],"prefix":"10.1007","volume":"306","author":[{"given":"Anne","family":"Schuhn","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4287-1608","authenticated-orcid":false,"given":"Tania Witte","family":"Tobar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7854-7207","authenticated-orcid":false,"given":"Aoife Ward","family":"Gahlawat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jana","family":"Hauke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7931-7470","authenticated-orcid":false,"given":"Lukas","family":"Baumann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00fcrgen G.","family":"Okun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4886-9808","authenticated-orcid":false,"given":"Juliane","family":"Nees","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,13]]},"reference":[{"issue":"1","key":"6482_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3322\/caac.21254","volume":"65","author":"RL Siegel","year":"2015","unstructured":"Siegel RL, Miller KD, Jemal A (2015) Cancer statistics, 2015. 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