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Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer
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 p...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342024/ https://www.ncbi.nlm.nih.gov/pubmed/37445651 http://dx.doi.org/10.3390/ijms241310473 |
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author | Köse, Büşra van de Laar, Ralf van Beekhuizen, Heleen van Kemenade, Folkert Baykal, Ahmet Tarik Luider, Theo Güzel, Coşkun |
author_facet | Köse, Büşra van de Laar, Ralf van Beekhuizen, Heleen van Kemenade, Folkert Baykal, Ahmet Tarik Luider, Theo Güzel, Coşkun |
author_sort | Köse, Büşra |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10342024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103420242023-07-14 Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer Köse, Büşra van de Laar, Ralf van Beekhuizen, Heleen van Kemenade, Folkert Baykal, Ahmet Tarik Luider, Theo Güzel, Coşkun Int J Mol Sci Article 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. MDPI 2023-06-21 /pmc/articles/PMC10342024/ /pubmed/37445651 http://dx.doi.org/10.3390/ijms241310473 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Köse, Büşra van de Laar, Ralf van Beekhuizen, Heleen van Kemenade, Folkert Baykal, Ahmet Tarik Luider, Theo Güzel, Coşkun Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer |
title | Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer |
title_full | Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer |
title_fullStr | Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer |
title_full_unstemmed | Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer |
title_short | Quantitative Proteomic Analysis of MCM3 in ThinPrep Samples of Patients with Cervical Preinvasive Cancer |
title_sort | quantitative proteomic analysis of mcm3 in thinprep samples of patients with cervical preinvasive cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342024/ https://www.ncbi.nlm.nih.gov/pubmed/37445651 http://dx.doi.org/10.3390/ijms241310473 |
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