Evidence map›Paper›PMID 31740835›Full record

ArticleNature genetics2019

The mutational footprints of cancer therapies.

Oriol Pich, Ferran Muiños, Martijn Paul Lolkema, Neeltje Steeghs, Abel Gonzalez-Perez, Nuria Lopez-Bigas

Abstract read
In one paragraph

Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 190 papers.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed
–field-weighted citation impact
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

190 citing papers in PubMed.

  1. Patritumab deruxtecan in HRNature medicine · 2025
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  8. Overcoming Drug Resistance by Paclitaxel Resistance in Triple-Negative Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  10. Cancer Chemoimmunotherapy: Time Will Tell.Cancer immunology research · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

130 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Oriol PichInstitute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1956-1882
Ferran MuiñosInstitute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-4651-4168
Martijn Paul LolkemaDepartment of Medical Oncology, Erasmus Medical Center Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0003-0466-2928
Neeltje SteeghsThe Netherlands Cancer Institute, Amsterdam, the Netherlands.
Abel Gonzalez-PerezInstitute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-8582-4660
Nuria Lopez-BigasInstitute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain. nuria.lopez@irbbarcelona.org.ORCID http://orcid.org/0000-0003-4925-8988

Funding

European Research Council 682398
6 · The paper itself

Abstract

Some cancer therapies damage DNA and cause mutations in both cancerous and healthy cells. Therapy-induced mutations may underlie some of the long-term and late side effects of treatments, such as mental disabilities, organ toxicity and secondary neoplasms. Nevertheless, the burden of mutation contributed by different chemotherapies has not been explored. Here we identify the mutational signatures or footprints of six widely used anticancer therapies across more than 3,500 metastatic tumors originating from different organs. These include previously known and new mutational signatures generated by platinum-based drugs as well as a previously unknown signature of nucleoside metabolic inhibitors. Exploiting these mutational footprints, we estimate the contribution of different treatments to the mutation burden of tumors and their risk of contributing coding and potential driver mutations in the genome. The mutational footprints identified here allow for precise assessment of the mutational risk of different cancer therapies to understand their long-term side effects.

Indexed as

MutationAntineoplastic AgentsHumansNeoplasmsRadiotherapyRisk FactorsAntineoplastic Agents

Identifiers

PMID31740835
PMCPMC6887544

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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.