{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:16:31Z","timestamp":1760148991471,"version":"build-2065373602"},"reference-count":55,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T00:00:00Z","timestamp":1687305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Triage methods for cervical cancer detection show moderate accuracy and present considerable false-negative and false-positive result rates. A complementary diagnostic parameter could help improve the accuracy of identifying patients who need treatment. A pilot study was performed using a targeted proteomics approach with opportunistic ThinPrep samples obtained from women collected at the hospital\u2019s outpatient clinic to determine the concentration levels of minichromosome maintenance-3 (MCM3) and envoplakin (EVPL) proteins. Forty samples with \u2018negative for intraepithelial lesion or malignancy\u2019 (NILM), 21 samples with \u2018atypical squamous cells of undetermined significance\u2019 (ASC-US), and 33 samples with \u2018low-grade squamous intraepithelial lesion and worse\u2019 (\u2265LSIL) were analyzed, using cytology and the patients\u2019 histology reports. Highly accurate concordance was obtained for gold-standard-confirmed samples, demonstrating that the MCM3\/EVPL ratio can discriminate between non-dysplastic and dysplastic samples. On that account, we propose that MCM3 and EVPL are promising candidate protein biomarkers for population-based cervical cancer screening.<\/jats:p>","DOI":"10.3390\/ijms241310473","type":"journal-article","created":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T01:49:32Z","timestamp":1687398572000},"page":"10473","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7043-390X","authenticated-orcid":false,"given":"B\u00fc\u015fra","family":"K\u00f6se","sequence":"first","affiliation":[{"name":"Department of Biochemistry and Molecular Biology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, T\u00fcrkiye"},{"name":"Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, T\u00fcrkiye"},{"name":"Department of Neurology, Erasmus MC, 3015 GD Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralf van de","family":"Laar","sequence":"additional","affiliation":[{"name":"Department of Gynecology, Erasmus MC, 3015 GD Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8899-7412","authenticated-orcid":false,"given":"Heleen van","family":"Beekhuizen","sequence":"additional","affiliation":[{"name":"Department of Gynecology, Erasmus MC, 3015 GD Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4225-4354","authenticated-orcid":false,"given":"Folkert van","family":"Kemenade","sequence":"additional","affiliation":[{"name":"Department of Pathology, Erasmus MC, 3015 GD Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8814-7351","authenticated-orcid":false,"given":"Ahmet Tarik","family":"Baykal","sequence":"additional","affiliation":[{"name":"Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, T\u00fcrkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theo","family":"Luider","sequence":"additional","affiliation":[{"name":"Department of Neurology, Erasmus MC, 3015 GD Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9849-9174","authenticated-orcid":false,"given":"Co\u015fkun","family":"G\u00fczel","sequence":"additional","affiliation":[{"name":"Department of Neurology, Erasmus MC, 3015 GD Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"209","DOI":"10.3322\/caac.21660","article-title":"Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA Cancer J. 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