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Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications

BACKGROUND: Malignant pleural mesotheliomas (MM) are known for their heterogenous histology and clinical behavior. MM histology reveals three major tumor cell populations: epithelioid, sarcomatoid, and biphasic. Using a dissecting approach, we showed that histochemical gradients help us better under...

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Autores principales: Balancin, Marcelo Luiz, Baldavira, Camila Machado, Prieto, Tabatha Gutierrez, Machado-Rugolo, Juliana, Farhat, Cecília, Assato, Aline Kawassaki, Velosa, Ana Paula Pereira, Teodoro, Walcy Rosolia, Ab'Saber, Alexandre Muxfeldt, Takagaki, Teresa Yae, Capelozzi, Vera Luiza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043486/
https://www.ncbi.nlm.nih.gov/pubmed/35492318
http://dx.doi.org/10.3389/fmed.2022.871202
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author Balancin, Marcelo Luiz
Baldavira, Camila Machado
Prieto, Tabatha Gutierrez
Machado-Rugolo, Juliana
Farhat, Cecília
Assato, Aline Kawassaki
Velosa, Ana Paula Pereira
Teodoro, Walcy Rosolia
Ab'Saber, Alexandre Muxfeldt
Takagaki, Teresa Yae
Capelozzi, Vera Luiza
author_facet Balancin, Marcelo Luiz
Baldavira, Camila Machado
Prieto, Tabatha Gutierrez
Machado-Rugolo, Juliana
Farhat, Cecília
Assato, Aline Kawassaki
Velosa, Ana Paula Pereira
Teodoro, Walcy Rosolia
Ab'Saber, Alexandre Muxfeldt
Takagaki, Teresa Yae
Capelozzi, Vera Luiza
author_sort Balancin, Marcelo Luiz
collection PubMed
description BACKGROUND: Malignant pleural mesotheliomas (MM) are known for their heterogenous histology and clinical behavior. MM histology reveals three major tumor cell populations: epithelioid, sarcomatoid, and biphasic. Using a dissecting approach, we showed that histochemical gradients help us better understand tumor heterogeneity and reconsider its histologic classifications. We also showed that this method to characterize MM tumor cell populations provides a better understanding of the underlying mechanisms for invasion and disease progression. METHODS: In a cohort of 87 patients with surgically excised MM, we used hematoxylin and eosin to characterize tumor cell populations and Movat's pentachrome staining to dissect the ECM matrisome. Next, we developed a computerized semi-assisted protocol to quantify and reconstruct the ECM in 3D and examined the clinical association between the matricellular factors and patient outcome. RESULTS: Epithelioid cells had a higher matrix composition of elastin and fibrin, whereas, in the sarcomatoid type, hyaluronic acid and total collagen were most prevalent. The 3D reconstruction exposed the collagen I and III that form channels surrounding the neoplastic cell blocks. The estimated volume of the two collagen fractions was 14% of the total volume, consistent with the median estimated area of total collagen (12.05 mm(2)) for epithelioid MM. CONCLUSION: Differential patterns in matricellular phenotypes in MM could be used in translational studies to improve patient outcome. More importantly, our data raise the possibility that cancer cells can use the matrisome for disease expansion and could be effectively targeted by anti-collagen, anti-elastin, and/or anti-hyaluronic acid therapies.
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spelling pubmed-90434862022-04-28 Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications Balancin, Marcelo Luiz Baldavira, Camila Machado Prieto, Tabatha Gutierrez Machado-Rugolo, Juliana Farhat, Cecília Assato, Aline Kawassaki Velosa, Ana Paula Pereira Teodoro, Walcy Rosolia Ab'Saber, Alexandre Muxfeldt Takagaki, Teresa Yae Capelozzi, Vera Luiza Front Med (Lausanne) Medicine BACKGROUND: Malignant pleural mesotheliomas (MM) are known for their heterogenous histology and clinical behavior. MM histology reveals three major tumor cell populations: epithelioid, sarcomatoid, and biphasic. Using a dissecting approach, we showed that histochemical gradients help us better understand tumor heterogeneity and reconsider its histologic classifications. We also showed that this method to characterize MM tumor cell populations provides a better understanding of the underlying mechanisms for invasion and disease progression. METHODS: In a cohort of 87 patients with surgically excised MM, we used hematoxylin and eosin to characterize tumor cell populations and Movat's pentachrome staining to dissect the ECM matrisome. Next, we developed a computerized semi-assisted protocol to quantify and reconstruct the ECM in 3D and examined the clinical association between the matricellular factors and patient outcome. RESULTS: Epithelioid cells had a higher matrix composition of elastin and fibrin, whereas, in the sarcomatoid type, hyaluronic acid and total collagen were most prevalent. The 3D reconstruction exposed the collagen I and III that form channels surrounding the neoplastic cell blocks. The estimated volume of the two collagen fractions was 14% of the total volume, consistent with the median estimated area of total collagen (12.05 mm(2)) for epithelioid MM. CONCLUSION: Differential patterns in matricellular phenotypes in MM could be used in translational studies to improve patient outcome. More importantly, our data raise the possibility that cancer cells can use the matrisome for disease expansion and could be effectively targeted by anti-collagen, anti-elastin, and/or anti-hyaluronic acid therapies. Frontiers Media S.A. 2022-04-13 /pmc/articles/PMC9043486/ /pubmed/35492318 http://dx.doi.org/10.3389/fmed.2022.871202 Text en Copyright © 2022 Balancin, Baldavira, Prieto, Machado-Rugolo, Farhat, Assato, Velosa, Teodoro, Ab'Saber, Takagaki and Capelozzi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Balancin, Marcelo Luiz
Baldavira, Camila Machado
Prieto, Tabatha Gutierrez
Machado-Rugolo, Juliana
Farhat, Cecília
Assato, Aline Kawassaki
Velosa, Ana Paula Pereira
Teodoro, Walcy Rosolia
Ab'Saber, Alexandre Muxfeldt
Takagaki, Teresa Yae
Capelozzi, Vera Luiza
Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications
title Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications
title_full Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications
title_fullStr Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications
title_full_unstemmed Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications
title_short Dissecting and Reconstructing Matrix in Malignant Mesothelioma Through Histocell-Histochemistry Gradients for Clinical Applications
title_sort dissecting and reconstructing matrix in malignant mesothelioma through histocell-histochemistry gradients for clinical applications
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043486/
https://www.ncbi.nlm.nih.gov/pubmed/35492318
http://dx.doi.org/10.3389/fmed.2022.871202
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