Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies

Natasja L. de Vries, Ahmed Mahfouz, Frits Koning, Noel F.C.C. de Miranda

Research output: Contribution to journalReview articlepeer-review

8 Citations (Scopus)
82 Downloads (Pure)

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.

Original languageEnglish
Article number1254
Pages (from-to)1-15
Number of pages15
JournalFrontiers in Oncology
Volume10
DOIs
Publication statusPublished - 2020

Keywords

  • cancer microenvironment
  • data integration
  • immunophenotyping
  • mass cytometry
  • multi-omics
  • single-cell
  • spatial analysis

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