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Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids

Identification of biomarkers for molecular classification of cancer and for differentiation between cancerous and normal epithelium remains a vital issue in the field of head and neck cancer. Here we aimed to compare the ability of proteome and lipidome components to discriminate oral cancer from no...

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Autores principales: Bednarczyk, Katarzyna, Gawin, Marta, Chekan, Mykola, Kurczyk, Agata, Mrukwa, Grzegorz, Pietrowska, Monika, Polanska, Joanna, Widlak, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323087/
https://www.ncbi.nlm.nih.gov/pubmed/30390197
http://dx.doi.org/10.1007/s10735-018-9802-3
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author Bednarczyk, Katarzyna
Gawin, Marta
Chekan, Mykola
Kurczyk, Agata
Mrukwa, Grzegorz
Pietrowska, Monika
Polanska, Joanna
Widlak, Piotr
author_facet Bednarczyk, Katarzyna
Gawin, Marta
Chekan, Mykola
Kurczyk, Agata
Mrukwa, Grzegorz
Pietrowska, Monika
Polanska, Joanna
Widlak, Piotr
author_sort Bednarczyk, Katarzyna
collection PubMed
description Identification of biomarkers for molecular classification of cancer and for differentiation between cancerous and normal epithelium remains a vital issue in the field of head and neck cancer. Here we aimed to compare the ability of proteome and lipidome components to discriminate oral cancer from normal mucosa. Tissue specimens including squamous cell cancer and normal epithelium were analyzed by MALDI mass spectrometry imaging. Two molecular domains of tissue components were imaged in serial sections—peptides (resulting from trypsin-processed proteins) and lipids (primarily zwitterionic phospholipids), then regions of interest corresponding to cancer and normal epithelium were compared. Heterogeneity of cancer regions was higher than the heterogeneity of normal epithelium, and the distribution of peptide components was more heterogeneous than the distribution of lipid components. Moreover, there were more peptide components than lipid components that showed significantly different abundance between cancer and normal epithelium (median of the Cohen’s effect was 0.49 and 0.31 in case of peptide and lipid components, respectively). Multicomponent cancer classifier was tested (vs. normal epithelium) using tissue specimens from three patients and then validated with a tissue specimen from the fourth patient. Peptide-based signature and lipid-based signature allowed cancer classification with a weighted accuracy of 0.85 and 0.69, respectively. Nevertheless, both classifiers had very high precision (0.98 and 0.94, respectively). We concluded that though molecular differences between cancerous and normal mucosa were higher in the proteome domain than in the analyzed lipidome subdomain, imaging of lipidome components also enabled discrimination of oral cancer and normal epithelium. Therefore, both cancer proteome and lipidome are promising sources of biomarkers of oral malignancies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10735-018-9802-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-63230872019-01-22 Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids Bednarczyk, Katarzyna Gawin, Marta Chekan, Mykola Kurczyk, Agata Mrukwa, Grzegorz Pietrowska, Monika Polanska, Joanna Widlak, Piotr J Mol Histol Original Paper Identification of biomarkers for molecular classification of cancer and for differentiation between cancerous and normal epithelium remains a vital issue in the field of head and neck cancer. Here we aimed to compare the ability of proteome and lipidome components to discriminate oral cancer from normal mucosa. Tissue specimens including squamous cell cancer and normal epithelium were analyzed by MALDI mass spectrometry imaging. Two molecular domains of tissue components were imaged in serial sections—peptides (resulting from trypsin-processed proteins) and lipids (primarily zwitterionic phospholipids), then regions of interest corresponding to cancer and normal epithelium were compared. Heterogeneity of cancer regions was higher than the heterogeneity of normal epithelium, and the distribution of peptide components was more heterogeneous than the distribution of lipid components. Moreover, there were more peptide components than lipid components that showed significantly different abundance between cancer and normal epithelium (median of the Cohen’s effect was 0.49 and 0.31 in case of peptide and lipid components, respectively). Multicomponent cancer classifier was tested (vs. normal epithelium) using tissue specimens from three patients and then validated with a tissue specimen from the fourth patient. Peptide-based signature and lipid-based signature allowed cancer classification with a weighted accuracy of 0.85 and 0.69, respectively. Nevertheless, both classifiers had very high precision (0.98 and 0.94, respectively). We concluded that though molecular differences between cancerous and normal mucosa were higher in the proteome domain than in the analyzed lipidome subdomain, imaging of lipidome components also enabled discrimination of oral cancer and normal epithelium. Therefore, both cancer proteome and lipidome are promising sources of biomarkers of oral malignancies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10735-018-9802-3) contains supplementary material, which is available to authorized users. Springer Netherlands 2018-11-03 2019 /pmc/articles/PMC6323087/ /pubmed/30390197 http://dx.doi.org/10.1007/s10735-018-9802-3 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Bednarczyk, Katarzyna
Gawin, Marta
Chekan, Mykola
Kurczyk, Agata
Mrukwa, Grzegorz
Pietrowska, Monika
Polanska, Joanna
Widlak, Piotr
Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids
title Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids
title_full Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids
title_fullStr Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids
title_full_unstemmed Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids
title_short Discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids
title_sort discrimination of normal oral mucosa from oral cancer by mass spectrometry imaging of proteins and lipids
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323087/
https://www.ncbi.nlm.nih.gov/pubmed/30390197
http://dx.doi.org/10.1007/s10735-018-9802-3
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