Evidence map›Paper›PMID 27401919›Full record

ArticleCancer immunology research2016

Mutation Drivers of Immunological Responses to Cancer.

Eduard Porta-Pardo, Adam Godzik

Open access · bronzeAbstract read
In one paragraph

Article in Cancer immunology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  6. Recent Progress of Protein Tertiary Structure Prediction.Molecules (Basel, Switzerland) · 2024
    Review
  7. Review
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  9. Toward the solution of the protein structure prediction problem.The Journal of biological chemistry · 2021
    Review
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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

2 authors at 1 institution in 1 country.

Eduard Porta-PardoProgram on Bioinformatics and Systems Biology, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California.
Adam GodzikProgram on Bioinformatics and Systems Biology, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California. adam@godziklab.org.
Discovery Institute · US

Funding

Tumor Microenvironment and Cancer ImmunologyP30CA030199 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI Michael Jackson · 1985 to 2026
$107.2M
Tools &Data Resources in Support of Structural GenomicsP01GM063208 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BOURNE, PHILIP E · 2002 to 2006
$5.3M
NCI NIH HHS P30 CA030199NIGMS NIH HHS P01 GM063208
6 · The paper itself

Abstract

In cancer immunology, somatic missense mutations have been mostly studied with regard to their role in the generation of neoantigens. However, growing evidence suggests that mutations in certain genes, such as CASP8 or TP53, influence the immune response against a tumor by other mechanisms. Identifying these genes and mechanisms is important because, just as the identification of cancer driver genes led to the development of personalized cancer therapies, a comprehensive catalog of such cancer immunity drivers will aid in the development of therapies aimed at restoring antitumor immunity. Here, we present an algorithm, domainXplorer, that can be used to identify potential cancer immunity drivers. To demonstrate its potential, we used it to analyze a dataset of 5,164 tumor samples from The Cancer Genome Atlas (TCGA) and to identify protein domains in which mutation status correlates with the presence of immune cells in cancer tissue (immune infiltrate). We identified 122 such protein regions, including several that belong to proteins with known roles in immune response, such as C2, CD163L1, or FCγR2A. In several cases, we show that mutations within the same protein can be associated with more or less immune cell infiltration, depending on the specific domain mutated. These results expand the catalog of potential cancer immunity drivers and highlight the importance of taking into account the structural context of somatic mutations when analyzing their potential association with immune phenotypes. Cancer Immunol Res; 4(9); 789-98. ©2016 AACR.

Indexed as

MutationAntigens, Neoplasmbeta CateninBiomarkersCadherinsComplement System ProteinsComputational BiologyGene Expression ProfilingHumansImmunomodulationModels, MolecularNeoplasmsPhenotypeProtein BindingProteomicsStructure-Activity RelationshipAntigens, Neoplasmbeta CateninBiomarkersCadherinsComplement System ProteinsCTNNB1 protein, humanosteoblast cadherin

Identifiers

PMID27401919
PMCPMC5886853
OpenAlexW2464488701

What OpenQuestion holds

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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.