Literature DB >> 23716380

Parallel evolution of tumour subclones mimics diversity between tumours.

Pierre Martinez1, Nicolai Juul Birkbak, Marco Gerlinger, Nicholas McGranahan, Rebecca A Burrell, Andrew J Rowan, Tejal Joshi, Rosalie Fisher, James Larkin, Zoltan Szallasi, Charles Swanton.   

Abstract

Intratumour heterogeneity (ITH) may foster tumour adaptation and compromise the efficacy of personalized medicine approaches. The scale of heterogeneity within a tumour (intratumour heterogeneity) relative to genetic differences between tumours (intertumour heterogeneity) is unknown. To address this, we obtained 48 biopsies from eight stage III and IV clear cell renal cell carcinomas (ccRCCs) and used DNA copy-number analyses to compare biopsies from the same tumour with 440 single tumour biopsies from the Cancer Genome Atlas (TCGA). Unsupervised hierarchical clustering of TCGA and multi-region ccRCC samples revealed segregation of samples from the same tumour into unrelated clusters; 25% of multi-region samples appeared more similar to unrelated samples than to any other sample originating from the same tumour. We found that the majority of recurrent DNA copy number driver aberrations in single biopsies were not present ubiquitously in late-stage ccRCCs and were likely to represent subclonal events acquired during tumour progression. Such heterogeneous subclonal genetic alterations within individual tumours may impair the identification of robust ccRCC molecular subtypes classified by distinct copy number alterations and clinical outcomes. The co-existence of distinct subclonal copy number events in different regions of individual tumours reflects the diversification of individual ccRCCs through multiple evolutionary routes and may contribute to tumour sampling bias and impact upon tumour progression and clinical outcome.
© 2013 The Authors. Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Entities:  

Keywords:  biomarker; chromosomal instability; copy number; intratumour heterogeneity; personalized medicine; tumour evolution

Mesh:

Substances:

Year:  2013        PMID: 23716380     DOI: 10.1002/path.4214

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  42 in total

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2.  Cancer evolution: the final frontier of precision medicine?

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Review 3.  Tumour heterogeneity: principles and practical consequences.

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Journal:  Virchows Arch       Date:  2016-07-13       Impact factor: 4.064

Review 4.  Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

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Journal:  Nat Rev Cancer       Date:  2017-08-24       Impact factor: 60.716

5.  Chromosomal defects track tumor subpopulations and change in progression in oligodendroglioma.

Authors:  David W Nauen; Andrew Guajardo; Lisa Haley; Kerry Powell; Peter C Burger; Christopher D Gocke
Journal:  Converg Sci Phys Oncol       Date:  2015-06-16

6.  Diversity index of mucosal resident T lymphocyte repertoire predicts clinical prognosis in gastric cancer.

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Journal:  Oncoimmunology       Date:  2015-01-22       Impact factor: 8.110

7.  High fidelity of driver chromosomal alterations among primary and metastatic renal cell carcinomas: implications for tumor clonal evolution and treatment.

Authors:  Eril J Kouba; John N Eble; Novae Simper; David J Grignon; Mingsheng Wang; Shaobo Zhang; Lisha Wang; Guido Martignoni; Sean R Williamson; Matteo Brunelli; Claudio Luchini; Anna Calió; Liang Cheng
Journal:  Mod Pathol       Date:  2016-07-29       Impact factor: 7.842

Review 8.  A river model to map convergent cancer evolution and guide therapy in RCC.

Authors:  Elizabeth Y Wei; James J Hsieh
Journal:  Nat Rev Urol       Date:  2015-11-03       Impact factor: 14.432

Review 9.  Integration of cancer genomics with treatment selection: from the genome to predictive biomarkers.

Authors:  Thomas J Ow; Vlad C Sandulache; Heath D Skinner; Jeffrey N Myers
Journal:  Cancer       Date:  2013-08-20       Impact factor: 6.860

10.  Tumorigenicity and genetic profiling of circulating tumor cells in small-cell lung cancer.

Authors:  Cassandra L Hodgkinson; Christopher J Morrow; Yaoyong Li; Robert L Metcalf; Dominic G Rothwell; Francesca Trapani; Radoslaw Polanski; Deborah J Burt; Kathryn L Simpson; Karen Morris; Stuart D Pepper; Daisuke Nonaka; Alastair Greystoke; Paul Kelly; Becky Bola; Matthew G Krebs; Jenny Antonello; Mahmood Ayub; Suzanne Faulkner; Lynsey Priest; Louise Carter; Catriona Tate; Crispin J Miller; Fiona Blackhall; Ged Brady; Caroline Dive
Journal:  Nat Med       Date:  2014-06-01       Impact factor: 53.440

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