Page 68 - Read Online
P. 68

Shi et al. J Cancer Metastasis Treat 2018;4:47                      Journal of Cancer
               DOI: 10.20517/2394-4722.2018.32                           Metastasis and Treatment




               Review                                                                        Open Access


               Unmasking tumor heterogeneity and clonal
               evolution by single-cell analysis


               Xiaoshan Shi, Papia Chakraborty, Amitabha Chaudhuri

               MedGenome Inc., Foster City, California 94404, USA.
               Correspondence to: Dr. Amitabha Chaudhuri, MedGenome Inc., Foster City, California 94404, USA.
               E-mail: amitc@medgenome.com

               How to cite this article: Shi X, Chakraborty P, Chaudhuri A. Unmasking tumor heterogeneity and clonal evolution by single-cell
               analysis. J Cancer Metastasis Treat 2018;4:47. http://dx.doi.org/10.20517/2394-4722.2018.32

               Received: 24 May 2018    First Decision: 17 Jul 2018    Revised: 24 Jul 2018    Accepted: 9 Aug 2018    Published: 31 Aug 2018
               Science Editors: Yi-Hong Zhou    Copy Editor: Cai-Hong Wang    Production Editor: Huan-Liang Wu



               Abstract
               The intratumoral heterogeneity orchestrated by the tumor intrinsic and extrinsic mechanisms enable cancers to
               persist and spread notwithstanding the use of aggressive interventional therapies. The heterogeneity is revealed at
               multiple levels - at the level of individual tumor cells, in the cellular composition of tumor infiltrates and in the chemical
               microenvironment in which the cells reside. Deconvoluting the complex nature of the cell types present in the tumor,
               along with the homo and heterotypic interactions between different cell types can produce novel insights of biological
               and clinical relevance. However, most techniques analyze tumors at a gross level missing key inter-cell-type genotypic
               and phenotypic differences. The advent of single-cell sequencing has given an unprecedented opportunity to analyze
               the tumor at a resolution that not only captures the diversity of the cellular composition of a tumor but also provides
               information on the genetic, epigenetic and functional states of different cell types. In this review, we summarize the
               genesis of tumor heterogeneity, its impact on tumor growth and progression and their clinical consequences. We
               present an overview of the currently available platforms for isolation and sequencing of single tumor cells and provide
               evidence of its utility in precision medicine and personalized therapy.


               Keywords: Intratumoral heterogeneity, single-cell sequencing, clonal evolution, circulating tumor cells, drug resistance



               INTRODUCTION
               A single cell is the ultimate denominator of a multicellular organism. In the progression of cancer, a single
               cell begins its journey to evolve into a malignant tumor cell and forms distinct subpopulations leading to
               intratumoral heterogeneity (ITH). Clonal diversity, the source of ITH, is the characteristics of all cancers
               and plays a critical role in cancer invasion, metastasis and development of resistance to targeted and non-


                           © The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
                sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
                as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
                and indicate if changes were made.


                                                                                                                                                  www.jcmtjournal.com
   63   64   65   66   67   68   69   70   71   72   73