Evidence map›Paper›PMID 26590264›Full record

ArticleNucleic acids research2016

MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer.

Nicholas Paul Gauthier, Ed Reznik, Jianjiong Gao, Selcuk Onur Sumer, Nikolaus Schultz, Chris Sander, Martin L Miller

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Convergent Evolution in Tumor Genomes Targets Functional Domains.bioRxiv : the preprint server for biology · 2026
    Article
  2. MutationAssessor in cBioPortal.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Mutation in Abl kinase with altered drug-binding kinetics indicates a novel mechanism of imatinib resistance.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
  11. PJAMIA open · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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.

Nicholas Paul GauthierComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA mutalign@gmail.com.
Ed ReznikComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Jianjiong GaoComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Selcuk Onur SumerComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Nikolaus SchultzComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Chris SanderComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA mutalign@gmail.com.
Martin L MillerCancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, CB2 0RE, UK mutalign@gmail.com.ORCID http://orcid.org/0000-0003-3161-8690

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
MSKCC Center for Translational Cancer Genomic AnalysisU24CA143840 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LADANYI, MARC, SANDER, CHRIS · 2009 to 2016
$11.5M
Cancer Research UK 21141Cancer Research UK C14303/A17197NCI NIH HHS P30 CA008748NCI NIH HHS U24 CA143840NIGMS NIH HHS P41 GM103504NIGMS NIH HHS P41GM103504
6 · The paper itself

Abstract

The MutationAligner web resource, available at http://www.mutationaligner.org, enables discovery and exploration of somatic mutation hotspots identified in protein domains in currently (mid-2015) more than 5000 cancer patient samples across 22 different tumor types. Using multiple sequence alignments of protein domains in the human genome, we extend the principle of recurrence analysis by aggregating mutations in homologous positions across sets of paralogous genes. Protein domain analysis enhances the statistical power to detect cancer-relevant mutations and links mutations to the specific biological functions encoded in domains. We illustrate how the MutationAligner database and interactive web tool can be used to explore, visualize and analyze mutation hotspots in protein domains across genes and tumor types. We believe that MutationAligner will be an important resource for the cancer research community by providing detailed clues for the functional importance of particular mutations, as well as for the design of functional genomics experiments and for decision support in precision medicine. MutationAligner is slated to be periodically updated to incorporate additional analyses and new data from cancer genomics projects.

Indexed as

Databases, GeneticMutationGenomicsHumansNeoplasmsProtein Structure, TertiarySequence AlignmentSoftware

Identifiers

PMID26590264
PMCPMC4702822

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.