Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783634046385913856 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7793707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT petersenelenav theextracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT chudakovadariaa theextracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT skorovaekaterinayu theextracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT anikinvladimir theextracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT reshetovigorv theextracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT mynbaevospana theextracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT petersenelenav extracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT chudakovadariaa extracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT skorovaekaterinayu extracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT anikinvladimir extracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT reshetovigorv extracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors AT mynbaevospana extracellularmatrixderivedbiomarkersfordiagnosisprognosisandpersonalizedtherapyofmalignanttumors |