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Review
. 2020 Feb;98(2):161-177.
doi: 10.1007/s00109-020-01874-2. Epub 2020 Jan 22.

Clinical implications of intratumor heterogeneity: challenges and opportunities

Affiliations
Review

Clinical implications of intratumor heterogeneity: challenges and opportunities

Santiago Ramón Y Cajal et al. J Mol Med (Berl). 2020 Feb.

Abstract

In this review, we highlight the role of intratumoral heterogeneity, focusing on the clinical and biological ramifications this phenomenon poses. Intratumoral heterogeneity arises through complex genetic, epigenetic, and protein modifications that drive phenotypic selection in response to environmental pressures. Functionally, heterogeneity provides tumors with significant adaptability. This ranges from mutual beneficial cooperation between cells, which nurture features such as growth and metastasis, to the narrow escape and survival of clonal cell populations that have adapted to thrive under specific conditions such as hypoxia or chemotherapy. These dynamic intercellular interplays are guided by a Darwinian selection landscape between clonal tumor cell populations and the tumor microenvironment. Understanding the involved drivers and functional consequences of such tumor heterogeneity is challenging but also promises to provide novel insight needed to confront the problem of therapeutic resistance in tumors.

Keywords: Antitumor therapeutics; Artificial intelligence; Intratumor heterogeneity; Liquid biopsy.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Lung cancer intratumoral heterogeneity at morphological and molecular levels. a Paraffin section of a lung tumor biopsy showing three main morphological subtypes within the same tumor. b Molecular and biomarker analysis confirming heterogeneity in EGFR mutation and in the c transcriptional signature of these three subtypes
Fig. 2
Fig. 2
Clonal cooperation and cellular consortium. a Darwinian model of clonal heterogeneity resulting in a consortium of clones, each with their characteristics and malignant features. b Cooperation between several clones to invade and metastasize
Fig. 3
Fig. 3
Cancer biology-driven personalized medicine. Schematic representation of the clinical workflow for lung cancer diagnosis, treatment, and follow-up

References

    1. Jamal-Hanjani M, Quezada SA, Larkin J, Swanton C. Translational implications of tumor heterogeneity. Clin Cancer Res. 2015;21(6):1258–1266. - PMC - PubMed
    1. Marusyk A, Almendro V, Polyak K. Intra-tumour heterogeneity: a looking glass for cancer? Nat Rev Cancer. 2012;12(5):323–334. - PubMed
    1. Mroz EA, Rocco JW. MATH, a novel measure of intratumor genetic heterogeneity, is high in poor-outcome classes of head and neck squamous cell carcinoma. Oral Oncol. 2013;49(3):211–215. - PMC - PubMed
    1. Landau DA, Carter SL, Stojanov P, McKenna A, Stevenson K, Lawrence MS, Sougnez C, Stewart C, Sivachenko A, Wang L, et al. Evolution and impact of subclonal mutations in chronic lymphocytic leukemia. Cell. 2013;152(4):714–726. - PMC - PubMed
    1. Zhang J, Fujimoto J, Wedge DC, Song X, Seth S, Chow CW, Cao Y, Gumbs C, Gold KA, Kalhor N, et al. Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing. Science. 2014;346(6206):256–259. - PMC - PubMed

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