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Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments
A tumor does not consist of a homogenous population of cancer cells. Therefore, to understand cancer, the tumor microenvironment and the interplay between the different cell types present in the tumor has to be taken into account, and how this regulates the growth and survival of the cancer cells. T...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384241/ https://www.ncbi.nlm.nih.gov/pubmed/22738217 http://dx.doi.org/10.1007/s13167-012-0140-3 |
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author | Clausson, Carl-Magnus Grundberg, Ida Weibrecht, Irene Nilsson, Mats Söderberg, Ola |
author_facet | Clausson, Carl-Magnus Grundberg, Ida Weibrecht, Irene Nilsson, Mats Söderberg, Ola |
author_sort | Clausson, Carl-Magnus |
collection | PubMed |
description | A tumor does not consist of a homogenous population of cancer cells. Therefore, to understand cancer, the tumor microenvironment and the interplay between the different cell types present in the tumor has to be taken into account, and how this regulates the growth and survival of the cancer cells. To achieve a full picture of this complex interplay, analysis of tumor tissue should ideally be performed with cellular resolution, providing activity status of individual cells in this heterogeneous population of different cell-types. In addition, in situ analysis provides information on the architecture of the tissue wherein the cancer cells thrive, providing information of the identity of neighboring cells that can be used to understand cell-cell communication. Herein we describe how padlock probes and in situ PLA can be used for visualization of nucleic acids and protein activity, respectively, directly in tissue sections, and their potential future role in personalized medicine. |
format | Online Article Text |
id | pubmed-3384241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33842412012-06-28 Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments Clausson, Carl-Magnus Grundberg, Ida Weibrecht, Irene Nilsson, Mats Söderberg, Ola EPMA J Review A tumor does not consist of a homogenous population of cancer cells. Therefore, to understand cancer, the tumor microenvironment and the interplay between the different cell types present in the tumor has to be taken into account, and how this regulates the growth and survival of the cancer cells. To achieve a full picture of this complex interplay, analysis of tumor tissue should ideally be performed with cellular resolution, providing activity status of individual cells in this heterogeneous population of different cell-types. In addition, in situ analysis provides information on the architecture of the tissue wherein the cancer cells thrive, providing information of the identity of neighboring cells that can be used to understand cell-cell communication. Herein we describe how padlock probes and in situ PLA can be used for visualization of nucleic acids and protein activity, respectively, directly in tissue sections, and their potential future role in personalized medicine. BioMed Central 2012-03-22 /pmc/articles/PMC3384241/ /pubmed/22738217 http://dx.doi.org/10.1007/s13167-012-0140-3 Text en Copyright ©2012 Clausson et al; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Clausson, Carl-Magnus Grundberg, Ida Weibrecht, Irene Nilsson, Mats Söderberg, Ola Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments |
title | Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments |
title_full | Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments |
title_fullStr | Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments |
title_full_unstemmed | Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments |
title_short | Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments |
title_sort | methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384241/ https://www.ncbi.nlm.nih.gov/pubmed/22738217 http://dx.doi.org/10.1007/s13167-012-0140-3 |
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