TY - JOUR
T1 - Multiplex Tissue Imaging
T2 - Spatial Revelations in the Tumor Microenvironment
AU - van Dam, Stephanie
AU - Baars, Matthijs J.D.
AU - Vercoulen, Yvonne
N1 - Funding Information:
Funding: This work is part of the Oncode Institute, which is partly financed by the Dutch Cancer Society. This work was supported by a grant from the cancergenomicscenter.nl NWO Gravitation 024.001.028 and a grant from the WKZ Research Foundation project TREAT-PID. The funders had no role in the decision to publish, or in the preparation of this manuscript.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/6/28
Y1 - 2022/6/28
N2 - The tumor microenvironment is a complex ecosystem containing various cell types, such as immune cells, fibroblasts, and endothelial cells, which interact with the tumor cells. In recent decades, the cancer research field has gained insight into the cellular subtypes that are involved in tumor microenvironment heterogeneity. Moreover, it has become evident that cellular interactions in the tumor microenvironment can either promote or inhibit tumor development, progression, and drug resistance, depending on the context. Multiplex spatial analysis methods have recently been developed; these have offered insight into how cellular crosstalk dynamics and heterogeneity affect cancer prognoses and responses to treatment. Multiplex (imaging) technologies and computational analysis methods allow for the spatial visualization and quantification of cell–cell interactions and properties. These technological advances allow for the discovery of cellular interactions within the tumor microenvironment and provide detailed single-cell information on properties that define cellular behavior. Such analyses give insights into the prognosis and mechanisms of therapy resistance, which is still an urgent problem in the treatment of multiple types of cancer. Here, we provide an overview of multiplex imaging technologies and concepts of downstream analysis methods to investigate cell–cell interactions, how these studies have advanced cancer research, and their potential clinical implications.
AB - The tumor microenvironment is a complex ecosystem containing various cell types, such as immune cells, fibroblasts, and endothelial cells, which interact with the tumor cells. In recent decades, the cancer research field has gained insight into the cellular subtypes that are involved in tumor microenvironment heterogeneity. Moreover, it has become evident that cellular interactions in the tumor microenvironment can either promote or inhibit tumor development, progression, and drug resistance, depending on the context. Multiplex spatial analysis methods have recently been developed; these have offered insight into how cellular crosstalk dynamics and heterogeneity affect cancer prognoses and responses to treatment. Multiplex (imaging) technologies and computational analysis methods allow for the spatial visualization and quantification of cell–cell interactions and properties. These technological advances allow for the discovery of cellular interactions within the tumor microenvironment and provide detailed single-cell information on properties that define cellular behavior. Such analyses give insights into the prognosis and mechanisms of therapy resistance, which is still an urgent problem in the treatment of multiple types of cancer. Here, we provide an overview of multiplex imaging technologies and concepts of downstream analysis methods to investigate cell–cell interactions, how these studies have advanced cancer research, and their potential clinical implications.
KW - cancer
KW - imaging mass cytometry
KW - MALDI-MSI
KW - MIBI
KW - multiplex imaging
KW - PhenoCycler
KW - PhenoImager
KW - single-cell data analysis
KW - spatial analysis
KW - tumor microenvironment
UR - http://www.scopus.com/inward/record.url?scp=85133918258&partnerID=8YFLogxK
U2 - 10.3390/cancers14133170
DO - 10.3390/cancers14133170
M3 - Review article
C2 - 35804939
AN - SCOPUS:85133918258
SN - 2072-6694
VL - 14
SP - 1
EP - 30
JO - Cancers
JF - Cancers
IS - 13
M1 - 3170
ER -