Evidence map›Paper›PMID 34373653›Full record

ArticleNature medicine2021

Limited evolution of the actionable metastatic cancer genome under therapeutic pressure.

Joris van de Haar, Louisa R Hoes, Paul Roepman, Martijn P Lolkema, Henk M W Verheul, Hans Gelderblom, Adrianus J de Langen, Egbert F Smit, Edwin Cuppen, Lodewyk F A Wessels and 1 more

Abstract read
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In one paragraph

Article in Nature medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 74 citations in OpenAlex.

  1. Liquid and Tissue Biopsies for Identifying MET Exon 14 Skipping NSCLC: Analyses from the Phase II VISION Study of Tepotinib.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 1 country.

Joris van de HaarDivision of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Louisa R HoesDivision of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Paul RoepmanHartwig Medical Foundation, Amsterdam, the Netherlands.
Martijn P LolkemaDepartment of Medical Oncology, Erasmus Medical Center Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Henk M W VerheulDepartment of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands.
Hans GelderblomDepartment of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands.
Adrianus J de LangenDepartment of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-7343-633X
Egbert F SmitDepartment of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Edwin CuppenOncode Institute, Amsterdam, the Netherlands.
Lodewyk F A WesselsDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-1656-6995
Emile E VoestDivision of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands. e.voest@nki.nl.ORCID http://orcid.org/0000-0001-8249-9586
The Netherlands Cancer Institute · NLCenter for Personalized Cancer Treatment · NLErasmus MC · NLHartwig Medical Foundation · NLLeiden University Medical Center · NLRadboud University Nijmegen · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Evolution, MolecularAdultBiomarkers, TumorBiopsyFemaleGenome, HumanGenomicsHumansMaleMiddle AgedMutationNeoplasm MetastasisNeoplasm ProteinsNeoplasmsPrecision MedicineSmall Molecule LibrariesBiomarkers, TumorNeoplasm ProteinsSmall Molecule Libraries

Identifiers

PMID34373653
OpenAlexW3192785969

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.