Evidence map›Paper›PMID 32523042›Full record

ArticleScientific reports2020

In silico analysis reveals EP300 as a panCancer inhibitor of anti-tumor immune response via metabolic modulation.

Rosemarie Krupar, Christian Watermann, Christian Idel, Julika Ribbat-Idel, Anne Offermann, Helen Pasternack, Jutta Kirfel, Andrew G Sikora, Sven Perner

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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  8. Substituted 1,4-naphthoquinones for potential anticancer therapeutics:Computational and structural biotechnology journal · 2025
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  14. Pan-Cancer Analysis Reveals ThatFrontiers in cell and developmental biology · 2021
    Article
  15. NR2F6 as a Prognostic Biomarker in HNSCC.International journal of molecular sciences · 2020
    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

9 authors at 4 institutions in 2 countries.

Rosemarie Krupar *Pathology of the Research Center Borstel, Leibniz Lung Center, Borstel, Germany. rkrupar@fz-borstel.de.
Christian Watermann *Pathology of the Research Center Borstel, Leibniz Lung Center, Borstel, Germany.
Christian IdelDepartment of Otorhinolaryngology, University Hospital Schleswig-Holstein, Luebeck, Germany.
Julika Ribbat-IdelPathology of the University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
Anne OffermannPathology of the University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
Helen PasternackPathology of the University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
Jutta KirfelPathology of the University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
Andrew G SikoraDepartment of Otorhinolarygology - Head and Neck Surgery, Baylor College of Medicine, Houston, USA.
Sven PernerPathology of the Research Center Borstel, Leibniz Lung Center, Borstel, Germany.
Research Center Borstel - Leibniz Lung Center · DEUniversity Hospital Schleswig-Holstein · DEUniversity of Lübeck · DEBaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor immune microenvironment (TIME) of head and neck squamous cell carcinomas (HNSCC) and other solid malignancies is a key determinant of therapy response and prognosis. Among other factors, it is shaped by the tumor mutational burden and defects in DNA repair enzymes. Based on the TCGA database we aimed to define specific, altered genes associated with different TIME types, which might represent new predictive markers or targets for immuno-therapeutic approaches. The HNSCC cohort of the TCGA database was used to define 3 TIME types (immune-activated, immune-suppressed, immune-absent) according to expression of immune-related genes. Mutation frequencies were correlated to the 3 TIME types. Overall survival was best in the immune-activated group. 9 genes were significantly differentially mutated in the 3 TIME types with strongest differences for TP53 and the histone-acetyltransferase EP300. Mutations in EP300 correlated with an immune-activated TIME. In panCancer analyses anti-tumor immune activity was increased in EP300 mutated esophageal, stomach and prostate cancers. Downregulation of EP300 gene expression was associated with higher anti-tumor immunity in most solid malignancies. Since EP300 is a promoter of glycolysis, which negatively affects anti-tumor immune response, we analyzed the association of EP300 with tumor metabolism. PanCancer tumor metabolism was strongly shifted towards oxidative phosphorylation in EP300 downregulated tumors. In silico analyses of of publicly available in vitro data showed a decrease of glycolysis-associated genes after treatment with the EP300 inhibitor C646. Our study reveals associations of specific gene alterations with different TIME types. In detail, we defined EP300 as a panCancer inhibitor of the TIME most likely via metabolic modulation. In this context EP300 represents a promising predictive biomarker and an immuno-therapeutic target.

Indexed as

Models, TheoreticalBiomarkers, TumorCohort StudiesComputer SimulationE1A-Associated p300 ProteinFemaleGlycolysisHistone AcetyltransferasesHumansImmunityImmunotherapyMaleMiddle AgedMutationOxidative PhosphorylationSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorE1A-Associated p300 ProteinEP300 protein, humanHistone Acetyltransferases

Identifiers

PMID32523042
PMCPMC7287052
OpenAlexW3033435204

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.