Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Pan-cancer whole-genome analyses of metastatic solid tumours

Peter Priestley, Jonathan Baber, Martijn P. Lolkema, Neeltje Steeghs, Ewart de Bruijn, Charles Shale, Korneel Duyvesteyn, Susan Haidari, Arne van Hoeck, Wendy Onstenk, Paul Roepman, Mircea Voda, Haiko J. Bloemendal, Vivianne C. G. Tjan‐Heijnen, Carla M.L. van Herpen, Mariëtte Labots, Petronella O. Witteveen, Egbert F. Smit, Stefan Sleijfer, Emile E. Voest, Edwin Cuppen

Nature · 2019

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Summary

This pan-cancer whole-genome study analysed 2,520 metastatic solid tumour samples to characterise the genomic landscape of late-stage cancer. The work demonstrates that whilst metastatic tumours largely reflect the mutational signatures of their primary tumour types, individual metastatic lesions are relatively homogeneous with predominantly clonal driver mutations, and that comprehensive genomic profiling can identify actionable variants in a majority of patients to inform precision medicine approaches.

UK applicability

Although this is a foundational genomic oncology study with international authorship, UK cancer centres and the NHS Genomics Medicine Service may apply these findings to develop genomic stratification protocols for metastatic cancer patients. The study's framework for clinically relevant variant review and actionability assessment is directly applicable to precision oncology programmes in the UK.

Key measures

Whole-genome sequencing depth (106× median for tumour, 38× for normal tissue); somatic variant counts (>70 million surveyed); whole-genome duplication frequency (56%); clonal driver mutation prevalence (96%); bi-allelic tumour-suppressor gene inactivation (up to 80%); actionable genetic variants (62% of patients)

Outcomes reported

The study reported whole-genome sequencing data for 2,520 pairs of metastatic tumour and normal tissue samples, characterising somatic variants, mutational landscapes, and driver genes across multiple cancer types. Researchers identified genetic variants in 62% of patients that could be used to stratify patients towards approved or clinical trial therapies.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Cross-sectional observational study
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41586-019-1689-y
Catalogue ID
SNmoh0dslh-1yzqqp

Topic tags

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