Evidence map›Paper›PMID 38361034›Full record

ArticleNature genetics2024

Accurate and sensitive mutational signature analysis with MuSiCal.

Hu Jin, Doga C Gulhan, Benedikt Geiger, Daniel Ben-Isvy, David Geng, Viktor Ljungström, Peter J Park

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Topographical archetypes of somatic mutagenesis in cancer.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Mutational signatures in hematological malignancies.Einstein (Sao Paulo, Brazil) · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Natural history of liver fluke infection underpins epidemiological patterns of biliary cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Divergent somatic mutation patterns among human cerebellar neuron types.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. A Thiopurine-like Mutagenic Process Defines TGCT Subtypes.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors.

Hu Jin *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8657-5686
Doga C Gulhan *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5419-0549
Benedikt GeigerDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1854-3428
Daniel Ben-IsvyDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1596-983X
David GengDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Viktor LjungströmDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Peter J ParkDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. peter_park@hms.harvard.edu.ORCID http://orcid.org/0000-0001-9378-960X

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Mutational signature analysis: methods and applications to the clinicR01CA269805 · NCI · HARVARD MEDICAL SCHOOL · PI Peter J Park · 2022 to 2026
$2.2M
NCI NIH HHS R01 CA269805NHGRI NIH HHS T32 HG002295
6 · The paper itself

Abstract

Mutational signature analysis is a recent computational approach for interpreting somatic mutations in the genome. Its application to cancer data has enhanced our understanding of mutational forces driving tumorigenesis and demonstrated its potential to inform prognosis and treatment decisions. However, methodological challenges remain for discovering new signatures and assigning proper weights to existing signatures, thereby hindering broader clinical applications. Here we present Mutational Signature Calculator (MuSiCal), a rigorous analytical framework with algorithms that solve major problems in the standard workflow. Our simulation studies demonstrate that MuSiCal outperforms state-of-the-art algorithms for both signature discovery and assignment. By reanalyzing more than 2,700 cancer genomes, we provide an improved catalog of signatures and their assignments, discover nine indel signatures absent in the current catalog, resolve long-standing issues with the ambiguous 'flat' signatures and give insights into signatures with unknown etiologies. We expect MuSiCal and the improved catalog to be a step towards establishing best practices for mutational signature analysis.

Indexed as

MusicNeoplasmsCarcinogenesisHumansINDEL MutationMutation

Identifiers

PMID38361034
PMCPMC10937379

What OpenQuestion holds

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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.