Phenotypic plasticity and genetic control in colorectal cancer evolution.

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Authors

Househam, J
Heide, T
Cresswell, GD
Spiteri, I
Kimberley, C
Zapata, L
Lynn, C
James, C
Mossner, M
Fernandez-Mateos, J
Vinceti, A
Baker, A-M
Gabbutt, C
Berner, A
Schmidt, M
Chen, B
Lakatos, E
Gunasri, V
Nichol, D
Costa, H
Mitchinson, M
Ramazzotti, D
Werner, B
Iorio, F
Jansen, M
Caravagna, G
Barnes, CP
Shibata, D
Bridgewater, J
Rodriguez-Justo, M
Magnani, L
Sottoriva, A
Graham, TA

Document Type

Journal Article

Date

2022-11-24

Date Accepted

2022-09-01

Abstract

Genetic and epigenetic variation, together with transcriptional plasticity, contribute to intratumour heterogeneity1. The interplay of these biological processes and their respective contributions to tumour evolution remain unknown. Here we show that intratumour genetic ancestry only infrequently affects gene expression traits and subclonal evolution in colorectal cancer (CRC). Using spatially resolved paired whole-genome and transcriptome sequencing, we find that the majority of intratumour variation in gene expression is not strongly heritable but rather 'plastic'. Somatic expression quantitative trait loci analysis identified a number of putative genetic controls of expression by cis-acting coding and non-coding mutations, the majority of which were clonal within a tumour, alongside frequent structural alterations. Consistently, computational inference on the spatial patterning of tumour phylogenies finds that a considerable proportion of CRCs did not show evidence of subclonal selection, with only a subset of putative genetic drivers associated with subclone expansions. Spatial intermixing of clones is common, with some tumours growing exponentially and others only at the periphery. Together, our data suggest that most genetic intratumour variation in CRC has no major phenotypic consequence and that transcriptional plasticity is, instead, widespread within a tumour.

Citation

Nature, 2022,

Source Title

Nature

Publisher

NATURE PORTFOLIO

ISSN

0028-0836

eISSN

1476-4687
1476-4687

Collections

Research Team

Genomics & evolut dynam
Evol Genomics & Modelling

Notes