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

Joint Authors

Janssen, Emiel A. M.
Diermen, Bianca van
Øvestad, Irene Tveiterås
Uleberg, Kai-Erik
Baak, Jan P. A.
Munk, Ane Cecilie
Brede, Cato
Gudlaugsson, Einar
Hjelle, Anne

Source

International Journal of Proteomics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-15

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Biology

Topics

Abstract EN

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.

American Psychological Association (APA)

Uleberg, Kai-Erik& Øvestad, Irene Tveiterås& Munk, Ane Cecilie& Brede, Cato& Diermen, Bianca van& Gudlaugsson, Einar…[et al.]. 2014. Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis. International Journal of Proteomics،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-447950

Modern Language Association (MLA)

Uleberg, Kai-Erik…[et al.]. Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis. International Journal of Proteomics No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-447950

American Medical Association (AMA)

Uleberg, Kai-Erik& Øvestad, Irene Tveiterås& Munk, Ane Cecilie& Brede, Cato& Diermen, Bianca van& Gudlaugsson, Einar…[et al.]. Prediction of Spontaneous Regression of Cervical Intraepithelial Neoplasia Lesions Grades 2 and 3 by Proteomic Analysis. International Journal of Proteomics. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-447950

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-447950