Evidence map›Paper›PMID 40348794›Full record

ArticleScientific reports2025

DNA glycosylase (NEIL3) overexpression associated with low tumor immune infiltration and poor overall patient survival in endometrial cancer.

Cristofer Barry, Aashirwad Shahi, Dawit Kidane

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

3 authors.

Cristofer BarryDepartment of Physiology & Biophysics, College of Medicine, Howard University, 520 W Street N.W, Washington, DC, 20059, USA.
Aashirwad ShahiDepartment of Physiology & Biophysics, College of Medicine, Howard University, 520 W Street N.W, Washington, DC, 20059, USA.
Dawit KidaneDepartment of Physiology & Biophysics, College of Medicine, Howard University, 520 W Street N.W, Washington, DC, 20059, USA. dawit.kidane-mulat@howard.edu.

Funding

The Role of Base Excision Repair in Regulating DNA-Mediated Inflammatory Signaling PathwaysR21CA249346 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI KIDANE MULAT, DAWIT · 2021 to 2021
$394k
NCI NIH HHS R21 CA249346NIH/NCI and Howard University, College of Medicine R21CA249346
6 · The paper itself

Abstract

Endometrial cancer (EC) is the most common gynecological malignancy. Although prognosis is favorable for patients with an early-stage disease, those with recurrent or more advanced disease have low response rates to chemotherapy and poor clinical outcomes. Previously, we have shown that DNA repair gene (NEIL3) is required for retaining replication fork integrity during replication stress. Here, we examined whether the overexpression of NEIL3 in endometrial cancer associated with altered genomic instability, tumor immunogenicity and anti-tumor immunity in endometrial tumor. In this study, we show that endometrial cancer patients with tumors that a have high NEIL3 expression associated with worse overall survival (OS) outcomes in patients. In addition, tumor with high NEIL3 expression is associated with high number of mutation and chromosomal instability. Furthermore, NEIL3 expression in EC tumors positively correlated with mutation of DNA polymerase eta (POLE) and TP53 as well as high expression of replicative polymerases genes (POLE, POLD1 and POLA1). In contrast, tumor with high NEIL3 expression exhibit low tumor immunogenicity and poor anti-tumor immune cell infiltration. Our findings may have important clinical implications for utilizing NEIL3 as a potential prognostic biomarker to stratify EC patients and as a target to enhance immunotherapy response in endometrial cancer. However, our NEIL3 overexpression associated observation still requires further experimental-based scientific validation studies.

Indexed as

DNA GlycosylasesEndometrial NeoplasmsN-Glycosyl HydrolasesAgedBiomarkers, TumorDNA Polymerase IIFemaleGene Expression Regulation, NeoplasticGenomic InstabilityHumansMiddle AgedMutationPoly-ADP-Ribose Binding ProteinsPrognosisTumor Suppressor Protein p53Biomarkers, TumorDNA GlycosylasesDNA Polymerase IINEIL3 protein, humanN-Glycosyl HydrolasesPoly-ADP-Ribose Binding ProteinsTumor Suppressor Protein p53Endometrial cancerGenomic instabilityNEIL3Tumor immunelandscape

Identifiers

PMID40348794
PMCPMC12065799

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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.