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Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis

Regression of cervical intraepithelial neoplasia (CIN) 2-3 to CIN 1 or less is associated with immune response as demonstrated by immunohistochemistry in formaldehyde-fixed paraffin-embedded (FFPE) biopsies. Proteomic analysis of water-soluble proteins in supernatants of biopsy samples with LC-MS (L...

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Autores principales: Uleberg, Kai-Erik, Øvestad, Irene Tveiterås, Munk, Ane Cecilie, Brede, Cato, van Diermen, Bianca, Gudlaugsson, Einar, Janssen, Emiel A. M., Hjelle, Anne, Baak, Jan P. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082862/
https://www.ncbi.nlm.nih.gov/pubmed/25018881
http://dx.doi.org/10.1155/2014/129064
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author Uleberg, Kai-Erik
Øvestad, Irene Tveiterås
Munk, Ane Cecilie
Brede, Cato
van Diermen, Bianca
Gudlaugsson, Einar
Janssen, Emiel A. M.
Hjelle, Anne
Baak, Jan P. A.
author_facet Uleberg, Kai-Erik
Øvestad, Irene Tveiterås
Munk, Ane Cecilie
Brede, Cato
van Diermen, Bianca
Gudlaugsson, Einar
Janssen, Emiel A. M.
Hjelle, Anne
Baak, Jan P. A.
author_sort Uleberg, Kai-Erik
collection PubMed
description Regression of cervical intraepithelial neoplasia (CIN) 2-3 to CIN 1 or less is associated with immune response as demonstrated by immunohistochemistry in formaldehyde-fixed paraffin-embedded (FFPE) biopsies. Proteomic analysis of water-soluble proteins in supernatants of biopsy samples with LC-MS (LTQ-Orbitrap) was used to identify proteins predictive of CIN2-3 lesions regression. CIN2-3 in the biopsies and persistence (CIN2-3) or regression (≤CIN1) in follow-up cone biopsies was validated histologically by two experienced pathologists. In a learning set of 20 CIN2-3 (10 regressions and 10 persistence cases), supernatants were depleted of seven high abundance proteins prior to unidimensional LC-MS/MS protein analysis. Mean protein concentration was 0.81 mg/mL (range: 0.55–1.14). Multivariate statistical methods were used to identify proteins that were able to discriminate between regressive and persistent CIN2-3. The findings were validated in an independent test set of 20 CIN2-3 (10 regressions and 10 persistence cases). Multistep identification criteria identified 165 proteins. In the learning set, zinc finger protein 441 and phospholipase D6 independently discriminated between regressive and persistent CIN2-3 lesions and correctly classified all 20 patients. Nine regression and all persistence cases were correctly classified in the validation set. Zinc finger protein 441 and phospholipase D6 in supernatant samples detected by LTQ-Orbitrap can predict regression of CIN2-3.
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spelling pubmed-40828622014-07-13 Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis Uleberg, Kai-Erik Øvestad, Irene Tveiterås Munk, Ane Cecilie Brede, Cato van Diermen, Bianca Gudlaugsson, Einar Janssen, Emiel A. M. Hjelle, Anne Baak, Jan P. A. Int J Proteomics Research Article Regression of cervical intraepithelial neoplasia (CIN) 2-3 to CIN 1 or less is associated with immune response as demonstrated by immunohistochemistry in formaldehyde-fixed paraffin-embedded (FFPE) biopsies. Proteomic analysis of water-soluble proteins in supernatants of biopsy samples with LC-MS (LTQ-Orbitrap) was used to identify proteins predictive of CIN2-3 lesions regression. CIN2-3 in the biopsies and persistence (CIN2-3) or regression (≤CIN1) in follow-up cone biopsies was validated histologically by two experienced pathologists. In a learning set of 20 CIN2-3 (10 regressions and 10 persistence cases), supernatants were depleted of seven high abundance proteins prior to unidimensional LC-MS/MS protein analysis. Mean protein concentration was 0.81 mg/mL (range: 0.55–1.14). Multivariate statistical methods were used to identify proteins that were able to discriminate between regressive and persistent CIN2-3. The findings were validated in an independent test set of 20 CIN2-3 (10 regressions and 10 persistence cases). Multistep identification criteria identified 165 proteins. In the learning set, zinc finger protein 441 and phospholipase D6 independently discriminated between regressive and persistent CIN2-3 lesions and correctly classified all 20 patients. Nine regression and all persistence cases were correctly classified in the validation set. Zinc finger protein 441 and phospholipase D6 in supernatant samples detected by LTQ-Orbitrap can predict regression of CIN2-3. Hindawi Publishing Corporation 2014 2014-06-15 /pmc/articles/PMC4082862/ /pubmed/25018881 http://dx.doi.org/10.1155/2014/129064 Text en Copyright © 2014 Kai-Erik Uleberg et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Uleberg, Kai-Erik
Øvestad, Irene Tveiterås
Munk, Ane Cecilie
Brede, Cato
van Diermen, Bianca
Gudlaugsson, Einar
Janssen, Emiel A. M.
Hjelle, Anne
Baak, Jan P. A.
Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis
title Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis
title_full Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis
title_fullStr Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis
title_full_unstemmed Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis
title_short Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis
title_sort prediction of spontaneous regression of cervical intraepithelial neoplasia lesions grades 2 and 3 by proteomic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082862/
https://www.ncbi.nlm.nih.gov/pubmed/25018881
http://dx.doi.org/10.1155/2014/129064
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