Print Email Facebook Twitter Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies Title Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies Author de Vries, Natasja L. (Leiden University Medical Center) Mahfouz, A.M.E.T.A. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center) Koning, Frits (Leiden University Medical Center) de Miranda, Noel F.C.C. (Leiden University Medical Center) Date 2020 Abstract Cancers are characterized by extensive heterogeneity that occurs intratumorally, between lesions, and across patients. To study cancer as a complex biological system, multidimensional analyses of the tumor microenvironment are paramount. Single-cell technologies such as flow cytometry, mass cytometry, or single-cell RNA-sequencing have revolutionized our ability to characterize individual cells in great detail and, with that, shed light on the complexity of cancer microenvironments. However, a key limitation of these single-cell technologies is the lack of information on spatial context and multicellular interactions. Investigating spatial contexts of cells requires the incorporation of tissue-based techniques such as multiparameter immunofluorescence, imaging mass cytometry, or in situ detection of transcripts. In this Review, we describe the rise of multidimensional single-cell technologies and provide an overview of their strengths and weaknesses. In addition, we discuss the integration of transcriptomic, genomic, epigenomic, proteomic, and spatially-resolved data in the context of human cancers. Lastly, we will deliberate on how the integration of multi-omics data will help to shed light on the complex role of cell types present within the human tumor microenvironment, and how such system-wide approaches may pave the way toward more effective therapies for the treatment of cancer. Subject cancer microenvironmentdata integrationimmunophenotypingmass cytometrymulti-omicssingle-cellspatial analysis To reference this document use: http://resolver.tudelft.nl/uuid:aa447ca9-ebcb-4294-954b-60d5ad459623 DOI https://doi.org/10.3389/fonc.2020.01254 Source Frontiers in Oncology, 10, 1-15 Part of collection Institutional Repository Document type review Rights © 2020 Natasja L. de Vries, A.M.E.T.A. Mahfouz, Frits Koning, Noel F.C.C. de Miranda Files PDF fonc_10_01254.pdf 2.53 MB Close viewer /islandora/object/uuid:aa447ca9-ebcb-4294-954b-60d5ad459623/datastream/OBJ/view