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Decoding Cancer Biology One Cell at a Time
Author(s) -
L. Nicolas Gonzalez Castro,
Itay Tirosh,
Mario L. Suvà
Publication year - 2021
Publication title -
cancer discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.795
H-Index - 163
eISSN - 2159-8290
pISSN - 2159-8274
DOI - 10.1158/2159-8290.cd-20-1376
Subject(s) - biology , computational biology , profiling (computer programming) , gene expression profiling , genomics , immune system , systems biology , cancer research , tumor cells , transcriptome , cell , cancer , genome editing , bioinformatics , functional genomics , cancer cell , tumor microenvironment , stem cell , stem cell biology , cancer treatment , regulation of gene expression , cancer stem cell , single cell analysis
Human tumors are composed of diverse malignant and nonmalignant cells, generating a complex ecosystem that governs tumor biology and response to treatments. Recent technological advances have enabled the characterization of tumors at single-cell resolution, providing a compelling strategy to dissect their intricate biology. Here we describe recent developments in single-cell expression profiling and the studies applying them in clinical settings. We highlight some of the powerful insights gleaned from these studies for tumor classification, stem cell programs, tumor microenvironment, metastasis, and response to targeted and immune therapies. SIGNIFICANCE: Intratumor heterogeneity (ITH) has been a major barrier to our understanding of cancer. Single-cell genomics is leading a revolution in our ability to systematically dissect ITH. In this review, we focus on single-cell expression profiling and lessons learned in key aspects of human tumor biology.

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