Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer

Author:

Köse Büşra123ORCID,Laar Ralf van de4,Beekhuizen Heleen van4ORCID,Kemenade Folkert van5ORCID,Baykal Ahmet Tarik2ORCID,Luider Theo3,Güzel Coşkun3ORCID

Affiliation:

1. Department of Biochemistry and Molecular Biology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, Türkiye

2. Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, Türkiye

3. Department of Neurology, Erasmus MC, 3015 GD Rotterdam, The Netherlands

4. Department of Gynecology, Erasmus MC, 3015 GD Rotterdam, The Netherlands

5. Department of Pathology, Erasmus MC, 3015 GD Rotterdam, The Netherlands

Abstract

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’s outpatient clinic to determine the concentration levels of minichromosome maintenance-3 (MCM3) and envoplakin (EVPL) proteins. Forty samples with ‘negative for intraepithelial lesion or malignancy’ (NILM), 21 samples with ‘atypical squamous cells of undetermined significance’ (ASC-US), and 33 samples with ‘low-grade squamous intraepithelial lesion and worse’ (≥LSIL) were analyzed, using cytology and the patients’ 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.

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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