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MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors

This study presents the use of matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) directly on the tissue of two ovarian tumors that often present a diagnostic challenge, a low-grade serous borderline ovarian tumor and ovarian fibrothecoma. Different spatial distrib...

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Autores principales: Pietkiewicz, Dagmara, Horała, Agnieszka, Plewa, Szymon, Jasiński, Piotr, Nowak-Markwitz, Ewa, Kokot, Zenon J., Matysiak, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589662/
https://www.ncbi.nlm.nih.gov/pubmed/33080944
http://dx.doi.org/10.3390/ijerph17207564
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author Pietkiewicz, Dagmara
Horała, Agnieszka
Plewa, Szymon
Jasiński, Piotr
Nowak-Markwitz, Ewa
Kokot, Zenon J.
Matysiak, Jan
author_facet Pietkiewicz, Dagmara
Horała, Agnieszka
Plewa, Szymon
Jasiński, Piotr
Nowak-Markwitz, Ewa
Kokot, Zenon J.
Matysiak, Jan
author_sort Pietkiewicz, Dagmara
collection PubMed
description This study presents the use of matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) directly on the tissue of two ovarian tumors that often present a diagnostic challenge, a low-grade serous borderline ovarian tumor and ovarian fibrothecoma. Different spatial distribution of m/z values within the tissue samples was observed, and regiospecific peaks were identified. Among the 106 peaks in the borderline ovarian tumor five, regiospecific peaks (m/z: 2861.35; 2775.79; 3368.34; 3438.43; 4936.37) were selected using FlexImaging software. Subsequently, the distribution of those selected peaks was visualized on the fibrothecoma tissue section, which demonstrated the differences in the tissue homo-/heterogeneous structure of both tumors. The comparison with the histopathological staining of the ovarian borderline tumor tissue section, obtained during serial sectioning, showed a close correlation of the molecular map with the morphological and histopathological features of the tissue and allowed the identification of different tissue types within the sample. This study highlights the potential significance of MSI in enabling morphological characterization of ovarian tumors as well as correct diagnosis and further prognosis than thus far seen in the literature. Osteopontin, tropomyosin and orosomucoid are only a couple of the molecules investigated using MALDI-MSI in ovarian cancer research. This study, in line with the available literature, proves the potential of MALDI-MSI to overcome the current limitations of classic histopathological examination giving a more in-depth insight into the tissue structure and thus lead to the more accurate differential diagnosis of ovarian tumors, especially in the most challenging cases.
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spelling pubmed-75896622020-10-29 MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors Pietkiewicz, Dagmara Horała, Agnieszka Plewa, Szymon Jasiński, Piotr Nowak-Markwitz, Ewa Kokot, Zenon J. Matysiak, Jan Int J Environ Res Public Health Article This study presents the use of matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) directly on the tissue of two ovarian tumors that often present a diagnostic challenge, a low-grade serous borderline ovarian tumor and ovarian fibrothecoma. Different spatial distribution of m/z values within the tissue samples was observed, and regiospecific peaks were identified. Among the 106 peaks in the borderline ovarian tumor five, regiospecific peaks (m/z: 2861.35; 2775.79; 3368.34; 3438.43; 4936.37) were selected using FlexImaging software. Subsequently, the distribution of those selected peaks was visualized on the fibrothecoma tissue section, which demonstrated the differences in the tissue homo-/heterogeneous structure of both tumors. The comparison with the histopathological staining of the ovarian borderline tumor tissue section, obtained during serial sectioning, showed a close correlation of the molecular map with the morphological and histopathological features of the tissue and allowed the identification of different tissue types within the sample. This study highlights the potential significance of MSI in enabling morphological characterization of ovarian tumors as well as correct diagnosis and further prognosis than thus far seen in the literature. Osteopontin, tropomyosin and orosomucoid are only a couple of the molecules investigated using MALDI-MSI in ovarian cancer research. This study, in line with the available literature, proves the potential of MALDI-MSI to overcome the current limitations of classic histopathological examination giving a more in-depth insight into the tissue structure and thus lead to the more accurate differential diagnosis of ovarian tumors, especially in the most challenging cases. MDPI 2020-10-18 2020-10 /pmc/articles/PMC7589662/ /pubmed/33080944 http://dx.doi.org/10.3390/ijerph17207564 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pietkiewicz, Dagmara
Horała, Agnieszka
Plewa, Szymon
Jasiński, Piotr
Nowak-Markwitz, Ewa
Kokot, Zenon J.
Matysiak, Jan
MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors
title MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors
title_full MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors
title_fullStr MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors
title_full_unstemmed MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors
title_short MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors
title_sort maldi-msi—a step forward in overcoming the diagnostic challenges in ovarian tumors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589662/
https://www.ncbi.nlm.nih.gov/pubmed/33080944
http://dx.doi.org/10.3390/ijerph17207564
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