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Quantitative Analyses of the Tumor Microenvironment Composition and Orientation in the Era of Precision Medicine

Authors :
Florent Petitprez
Cheng-Ming Sun
Laetitia Lacroix
Catherine Sautès-Fridman
Aurélien de Reyniès
Wolf H. Fridman
Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138))
École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)
Université Sorbonne Paris Cité (USPC)
Université Paris Descartes - Paris 5 (UPD5)
Ligue Nationale Contre le Cancer - Paris
Ligue Nationnale Contre le Cancer
École pratique des hautes études (EPHE)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)
Source :
Frontiers in Oncology, Frontiers in Oncology, Frontiers, 2018, 8, pp.390. ⟨10.3389/fonc.2018.00390⟩, Frontiers in Oncology, Vol 8 (2018)
Publication Year :
2018

Abstract

International audience; Tumors are formed by aggregates of cells of various origins including malignant, stromal and immune cells. The number of therapies targeting the microenvironment is increasing as the tumor microenvironment is more and more recognized as playing an essential role in tumor control. In the era of precision medicine, it is essential to precisely estimate the composition, organization and functionality of the individual patient tumor microenvironment and to find ways to therapeutically modulate it. To quantify the cell populations present in the tumor microenvironment, many tools are now available and the most recent approaches will be reviewed herein. We provide an overview of experimental and computational methodologies used to quantify tumor-associated cellular populations, including immunohistochemistry, flow and mass cytometry, bulk and single-cell transcriptomic approaches. We illustrate their respective contribution to characterize the microenvironment. We also discuss how these methods allow to guide therapeutic choices, in relation to the predictive value of some characteristics of the microenvironment.

Details

ISSN :
2234943X
Volume :
8
Database :
OpenAIRE
Journal :
Frontiers in oncology
Accession number :
edsair.doi.dedup.....978a1108445d586bb5712bf5436f1a34
Full Text :
https://doi.org/10.3389/fonc.2018.00390⟩