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E-Poster Display

1228P - Integrated analysis of gene expression and chromosomal aberrations to determine the global patterns of DNA methylation heterogeneity in the TRACERx lung study

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Francisco Gimeno-Valiente

Citation

Annals of Oncology (2020) 31 (suppl_4): S735-S743. 10.1016/annonc/annonc282

Authors

F. Gimeno-Valiente1, K. Chen1, E.L. Cadieux2, T.B.K. Watkins1, O. Chervova1, P. Dhami1, H. Vaikkinen1, A. Feber3, J. Demeulemeester2, M. Tanic1, S. Beck4, P. Van Loo2, N. Kanu1, C. Swanton5

Author affiliations

  • 1 Cancer Research Uk Lung Cancer Centre Of Excellence, Ucl Cancer Institute, University College London, WC1E 6DD - London/GB
  • 2 Cancer Genomics, The Francis Crick Institute, NW1 1AT - London/GB
  • 3 Division Of Surgery And Interventional Science, University College London, W1W 7TS - London/GB
  • 4 Institute For Precision Medicine, University College London, WC1E 6BT - London/GB
  • 5 Cancer Research Uk Lung Cancer Centre Of Excellence, Cancer Evolution And Genome Instability Laboratory, University College London and The Francis Crick Institute, NW1 1AT - London/GB

Resources

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Abstract 1228P

Background

Lung cancer is the leading cause of cancer-related death, accounting for nearly 1.4 million deaths worldwide every year. Lung TRACERx is a leading national study employing multi-region and longitudinal genome sequencing to determine the timing of somatic events in relation to distinct genome instability processes and to unravel the evolutionary trajectories of cancers. We have observed that chromosomal instability, rather than mutational heterogeneity, is associated with disease progression. Incorporating the contribution of epigenetic modifications to cancer evolution trajectories within TRACERx could improve our understanding of the intricate relationship between genetic and epigenetic changes in NSCLC evolution.

Methods

Multi-region sampling from 38 TRACERx patients (24 LUAD and 14 LUSC) has been performed in the study. RNA has been extracted and RNAseq performed for gene expression profiling. DNA was processed for reduced representation bisulphite sequencing (RRBS) for assessment of DNA methylation. Whole exome sequencing was performed and somatic copy number alterations (SCNAs) were inferred.

Results

The overall percentage of hypermethylated differentially methylated positions (DMPs) was assessed at the tumour and regional level. We saw an enrichment in SCNAs at genomic loci harboring genes involved in DNA methylation maintenance such as DNMT1 and DNMT3. The presence of SCNAs at those loci were found to be significantly correlated with the extent of hypermethylated DMPs in tumours. This effect is also observed at the intratumoural level. In contrast, a significant correlation was also observed between the extent of copy number gains in the Tet methylcytosine dioxygenase 3 (TET3) and increased hypomethylation status. These copy number changes were functional as observed by changes in gene expression observed in the parallel RNA seq analysis.

Conclusions

We have studied the role of SCNAs influencing expression of global methylation genes on tumour methylation heterogeneity. These data offer insight into the role of SCNAs and DNA methylation changes in lung cancer evolution.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

University College of London and Francis Crick Institute.

Funding

This work was supported by the Biomedical Research Centre and the Francis Crick Institute that receives its core funding from Cancer Research UK (FC001169), the UK Medical Research Council (FC001169), and the Wellcome Trust (FC001169). C.S. is Royal Society Napier Research Professor and is also funded by the Breast Cancer Research Foundation (BCRF).

Disclosure

C. Swanton: Research grant/Funding (institution): Pfizer; Advisory/Consultancy, Research grant/Funding (self): AstraZeneca; Advisory/Consultancy, Research grant/Funding (self): BMS; Advisory/Consultancy, Research grant/Funding (self): Roche-Ventana; Advisory/Consultancy, Research grant/Funding (self): Boehringer Ingelheim; Advisory/Consultancy, Research grant/Funding (self): Ono Pharmaceutical; Honoraria (self): Novartis; Honoraria (self): GlaxoSmithKline; Honoraria (self): MSD; Honoraria (self): Celgene; Honoraria (self): Illumina; Honoraria (self): Genentech; Honoraria (self): GRAIL; Honoraria (self): Medicxi; Honoraria (self): Sarah Cannon Research Institute; Honoraria (self): Apogen Biotechnologies; Honoraria (self): Epic Bioscience; Leadership role: Achilles Therapeutics. All other authors have declared no conflicts of interest.

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