Limited evolution of the actionable metastatic cancer genome under therapeutic pressure

Journal Article (2021)
Authors

Joris van de Haar (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, Oncode Institute)

Louisa Hoes (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, Oncode Institute)

P Roepman (Hartwig Medical Foundation)

Martijn P. Lolkema (Erasmus MC)

Henk M. W. Verheul (Radboud University Medical Center)

Hans Gelderblom (Leiden University Medical Center)

Adrianus J. de Langen (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Egbert F. Smit (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Edwin Cuppen (University Medical Center Utrecht, Hartwig Medical Foundation, Oncode Institute)

Lodewyk Wessels (TU Delft - Pattern Recognition and Bioinformatics, Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, Oncode Institute)

Emile E. Voest (Oncode Institute, Center for Personalized Cancer Treatment, Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Research Group
Pattern Recognition and Bioinformatics
To reference this document use:
https://doi.org/10.1038/s41591-021-01448-w
More Info
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Publication Year
2021
Language
English
Research Group
Pattern Recognition and Bioinformatics
Issue number
9
Volume number
27
Pages (from-to)
1553-1563
DOI:
https://doi.org/10.1038/s41591-021-01448-w

Abstract

Genomic profiling is critical for the identification of treatment options for patients with metastatic cancer, but it remains unclear how frequently this procedure should be repeated during the course of the disease. To address this, we analyzed whole-genome sequencing (WGS) data of 250 biopsy pairs, longitudinally collected over the treatment course of 231 adult patients with a representative variety of metastatic solid malignancies. Within the biopsy interval (median, 6.4 months), patients received one or multiple lines of (mostly) standard-of-care (SOC) treatments, with all major treatment modalities being broadly represented. SOC biomarkers and biomarkers for clinical trial enrollment could be identified in 23% and 72% of biopsies, respectively. For SOC genomic biomarkers, we observed full concordance between the first and the second biopsy in 99% of pairs. Of the 219 biomarkers for clinical trial enrollment that were identified in the first biopsies, we recovered 94% in the follow-up biopsies. Furthermore, a second WGS analysis did not identify additional biomarkers for clinical trial enrollment in 91% of patients. More-frequent genomic evolution was observed when considering specific genes targeted by small-molecule inhibitors or hormonal therapies (21% and 22% of cases, respectively). Together, our data demonstrate that there is limited evolution of the actionable genome of treated metastases. A single WGS analysis of a metastatic biopsy is generally sufficient to identify SOC genomic biomarkers and to identify investigational treatment opportunities.

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