Literature DB >> 34807338

Bringing precision oncology to cellular resolution with single-cell genomics.

Yuntao Xia1, Charles Gawad2.   

Abstract

Single-cell sequencing technologies have undergone rapid development and adoption by the scientific community in the past 5 years, fueling discoveries about the etiology, pathogenesis, and treatment responsiveness of individual tumor cells within cancer ecosystems. Most of the advancements in our understanding of cancer with these new technologies have focused on basic tumor biology. However, the knowledge produced by these and other studies are beginning to provide biomarkers and drug targets for clinically-relevant subpopulations within a tumor, creating opportunities for the development of biologically-informed, clone-specific combination treatment strategies. Here we provide an overview of the development of the field of single-cell cancer sequencing and provide a roadmap for shepherding these technologies from research tools to diagnostic instruments that provide high-resolution, treatment-directing details of tumors to clinical oncologists.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Precision oncology; Single cell genomics

Mesh:

Year:  2021        PMID: 34807338      PMCID: PMC8969191          DOI: 10.1007/s10585-021-10129-4

Source DB:  PubMed          Journal:  Clin Exp Metastasis        ISSN: 0262-0898            Impact factor:   5.150


  39 in total

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Authors:  Tracy Tucker; Marco Marra; Jan M Friedman
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Authors:  Michael L Metzker
Journal:  Nat Rev Genet       Date:  2009-12-08       Impact factor: 53.242

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Authors:  Yuanyuan Li; Trygve O Tollefsbol
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Authors:  William H Robinson
Journal:  Nat Rev Rheumatol       Date:  2014-12-23       Impact factor: 20.543

Review 5.  Tumour heterogeneity and resistance to cancer therapies.

Authors:  Ibiayi Dagogo-Jack; Alice T Shaw
Journal:  Nat Rev Clin Oncol       Date:  2017-11-08       Impact factor: 66.675

Review 6.  Integrative single-cell analysis.

Authors:  Tim Stuart; Rahul Satija
Journal:  Nat Rev Genet       Date:  2019-05       Impact factor: 53.242

7.  Identification of somatic mutations in single cell DNA-seq using a spatial model of allelic imbalance.

Authors:  Lovelace J Luquette; Craig L Bohrson; Max A Sherman; Peter J Park
Journal:  Nat Commun       Date:  2019-08-29       Impact factor: 14.919

Review 8.  A guide to cancer immunotherapy: from T cell basic science to clinical practice.

Authors:  Alex D Waldman; Jill M Fritz; Michael J Lenardo
Journal:  Nat Rev Immunol       Date:  2020-05-20       Impact factor: 53.106

9.  High-throughput single-cell DNA sequencing of acute myeloid leukemia tumors with droplet microfluidics.

Authors:  Maurizio Pellegrino; Adam Sciambi; Sebastian Treusch; Robert Durruthy-Durruthy; Kaustubh Gokhale; Jose Jacob; Tina X Chen; Jennifer A Geis; William Oldham; Jairo Matthews; Hagop Kantarjian; P Andrew Futreal; Keyur Patel; Keith W Jones; Koichi Takahashi; Dennis J Eastburn
Journal:  Genome Res       Date:  2018-08-07       Impact factor: 9.043

Review 10.  Single-cell sequencing techniques from individual to multiomics analyses.

Authors:  Yukie Kashima; Yoshitaka Sakamoto; Keiya Kaneko; Masahide Seki; Yutaka Suzuki; Ayako Suzuki
Journal:  Exp Mol Med       Date:  2020-09-15       Impact factor: 8.718

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  1 in total

1.  Introduction: Novel Frontiers in Cancer Metastasis.

Authors:  Stanley P Leong; Jonathan S Zager
Journal:  Clin Exp Metastasis       Date:  2022-02-22       Impact factor: 5.150

  1 in total

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