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The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors

The tumor biomarkers already have proven clinical value and have become an integral part in cancer management and modern translational oncology. The tumor tissue microenvironment (TME), which includes extracellular matrix (ECM), signaling molecules, immune and stromal cells, and adjacent non-tumorou...

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Autores principales: Petersen, Elena V., Chudakova, Daria A., Skorova, Ekaterina Yu., Anikin, Vladimir, Reshetov, Igor V., Mynbaev, Ospan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793707/
https://www.ncbi.nlm.nih.gov/pubmed/33425730
http://dx.doi.org/10.3389/fonc.2020.575569
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author Petersen, Elena V.
Chudakova, Daria A.
Skorova, Ekaterina Yu.
Anikin, Vladimir
Reshetov, Igor V.
Mynbaev, Ospan A.
author_facet Petersen, Elena V.
Chudakova, Daria A.
Skorova, Ekaterina Yu.
Anikin, Vladimir
Reshetov, Igor V.
Mynbaev, Ospan A.
author_sort Petersen, Elena V.
collection PubMed
description The tumor biomarkers already have proven clinical value and have become an integral part in cancer management and modern translational oncology. The tumor tissue microenvironment (TME), which includes extracellular matrix (ECM), signaling molecules, immune and stromal cells, and adjacent non-tumorous tissue, contributes to cancer pathogenesis. Thus, TME-derived biomarkers have many clinical applications. This review is predominately based on the most recent publications (manuscripts published in a last 5 years, or seminal publications published earlier) and fills a gap in the current literature on the cancer biomarkers derived from the TME, with particular attention given to the ECM and products of its processing and degradation, ECM-associated extracellular vesicles (EVs), biomechanical characteristics of ECM, and ECM-derived biomarkers predicting response to the immunotherapy. We discuss the clinical utility of the TME-incorporating three-dimensional in vitro and ex vivo cell culture models for personalized therapy. We conclude that ECM is a critical driver of malignancies and ECM-derived biomarkers should be included in diagnostics and prognostics panels of markers in the clinic.
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spelling pubmed-77937072021-01-09 The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors Petersen, Elena V. Chudakova, Daria A. Skorova, Ekaterina Yu. Anikin, Vladimir Reshetov, Igor V. Mynbaev, Ospan A. Front Oncol Oncology The tumor biomarkers already have proven clinical value and have become an integral part in cancer management and modern translational oncology. The tumor tissue microenvironment (TME), which includes extracellular matrix (ECM), signaling molecules, immune and stromal cells, and adjacent non-tumorous tissue, contributes to cancer pathogenesis. Thus, TME-derived biomarkers have many clinical applications. This review is predominately based on the most recent publications (manuscripts published in a last 5 years, or seminal publications published earlier) and fills a gap in the current literature on the cancer biomarkers derived from the TME, with particular attention given to the ECM and products of its processing and degradation, ECM-associated extracellular vesicles (EVs), biomechanical characteristics of ECM, and ECM-derived biomarkers predicting response to the immunotherapy. We discuss the clinical utility of the TME-incorporating three-dimensional in vitro and ex vivo cell culture models for personalized therapy. We conclude that ECM is a critical driver of malignancies and ECM-derived biomarkers should be included in diagnostics and prognostics panels of markers in the clinic. Frontiers Media S.A. 2020-12-18 /pmc/articles/PMC7793707/ /pubmed/33425730 http://dx.doi.org/10.3389/fonc.2020.575569 Text en Copyright © 2020 Petersen, Chudakova, Skorova, Anikin, Reshetov and Mynbaev http://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 Oncology
Petersen, Elena V.
Chudakova, Daria A.
Skorova, Ekaterina Yu.
Anikin, Vladimir
Reshetov, Igor V.
Mynbaev, Ospan A.
The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors
title The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors
title_full The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors
title_fullStr The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors
title_full_unstemmed The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors
title_short The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors
title_sort extracellular matrix-derived biomarkers for diagnosis, prognosis, and personalized therapy of malignant tumors
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793707/
https://www.ncbi.nlm.nih.gov/pubmed/33425730
http://dx.doi.org/10.3389/fonc.2020.575569
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