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...

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Main Authors:	Clausson, Carl-Magnus, Grundberg, Ida, Weibrecht, Irene, Nilsson, Mats, Söderberg, Ola
Format:	Online
Language:	English
Published:	BioMed Central 2012
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384241/

id	pubmed-3384241
recordtype	oai_dc
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 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.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Clausson, Carl-Magnus Grundberg, Ida Weibrecht, Irene Nilsson, Mats Söderberg, Ola
spellingShingle	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
author_facet	Clausson, Carl-Magnus Grundberg, Ida Weibrecht, Irene Nilsson, Mats Söderberg, Ola
author_sort	Clausson, Carl-Magnus
title	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_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_sort	methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments
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.
publisher	BioMed Central
publishDate	2012
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384241/
_version_	1611539346115002368

Methods for analysis of the cancer microenvironment and their potential for disease prediction, monitoring and personalized treatments

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