Evidence map›Paper›PMID 31344031›Full record

ArticlePLoS genetics2019

Quantifying immune-based counterselection of somatic mutations.

Fan Yang, Dae-Kyum Kim, Hidewaki Nakagawa, Shuto Hayashi, Seiya Imoto, Lincoln Stein, Frederick P Roth

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Neoantigen Controversies.Annual review of biomedical data science · 2021
    Review
  8. Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. 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 at 4 institutions in 3 countries.

Fan YangDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Dae-Kyum KimDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan.
Shuto HayashiThe Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-1623-0738
Seiya ImotoThe Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Lincoln SteinDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Frederick P RothDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-6628-649X
University of Toronto · CAThe University of Tokyo · JPOntario Institute for Cancer Research · CARIKEN Center for Integrative Medical Sciences · JP

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
CIHRNHGRI NIH HHS P50 HG004233
6 · The paper itself

Abstract

Somatic mutations in protein-coding regions can generate 'neoantigens' causing developing cancers to be eliminated by the immune system. Quantitative estimates of the strength of this counterselection phenomenon have been lacking. We quantified the extent to which somatic mutations are depleted in peptides that are predicted to be displayed by major histocompatibility complex (MHC) class I proteins. The extent of this depletion depended on expression level of the neoantigenic gene, and on whether the patient had one or two MHC-encoding alleles that can display the peptide, suggesting MHC-encoding alleles are incompletely dominant. This study provides an initial quantitative understanding of counter-selection of identifiable subclasses of neoantigenic somatic variation.

Indexed as

Mutation, MissenseAllelesAntigen PresentationAntigens, NeoplasmHistocompatibility Antigens Class IHumansPeptidesAntigens, NeoplasmHistocompatibility Antigens Class IPeptides

Identifiers

PMID31344031
PMCPMC6657826
OpenAlexW2963998247

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.