Evidence map›Paper›PMID 40110195›Full record

ArticleFrontiers in oncology2025

Transcriptional and microbial profile of gastric cancer patients infected with Epstein-Barr virus.

Klezzer de Oliveira Carneiro, Taíssa Maíra Thomaz Araújo, Ronald Matheus Da Silva Mourão, Samir Mansour Moraes Casseb, Samia Demachki, Fabiano Cordeiro Moreira, Ândrea Kely Campos Ribeiro Dos Santos, Geraldo Ishak, Daniel de Souza Avelar Da Costa, Leandro Magalhães and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

13 authors.

Klezzer de Oliveira CarneiroOncology Research Center, Federal University of Pará, Belém, Brazil.
Taíssa Maíra Thomaz AraújoOncology Research Center, Federal University of Pará, Belém, Brazil.
Ronald Matheus Da Silva MourãoOncology Research Center, Federal University of Pará, Belém, Brazil.
Samir Mansour Moraes CassebOncology Research Center, Federal University of Pará, Belém, Brazil.
Samia DemachkiOncology Research Center, Federal University of Pará, Belém, Brazil.
Fabiano Cordeiro MoreiraOncology Research Center, Federal University of Pará, Belém, Brazil.
Ândrea Kely Campos Ribeiro Dos SantosBiological Sciences Institute, Federal University of Pará, Belém, Brazil.
Geraldo IshakOncology Research Center, Federal University of Pará, Belém, Brazil.
Daniel de Souza Avelar Da CostaOncology Research Center, Federal University of Pará, Belém, Brazil.
Leandro MagalhãesOncology Research Center, Federal University of Pará, Belém, Brazil.
Amanda Ferreira VidalOncology Research Center, Federal University of Pará, Belém, Brazil.
Rommel Mario Rodriguez BurbanoOphir Loyola, Federal University of Pará, Belém, Brazil.
Paulo Pimentel de AssumpçãoOncology Research Center, Federal University of Pará, Belém, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gastric cancer (GC), which has low survival rates and high mortality, is a major concern, particularly in Asia and South America, with over one million annual cases. Epstein-Barr virus (EBV) is recognized as a carcinogen that may trigger gastric carcinogenesis by infecting the stomach epithelium via reactivated B cells, with growing evidence linking it to GC. This study investigates the transcriptional and microbial profiles of EBV-infected versus EBV-non-infected GC patients. Methods: Using Illumina NextSeq, cDNA libraries were sequenced, and reads were aligned to the human genome and analyzed with DESeq2. Kegg and differential analyses revealed key genes and pathways. Gene sensitivity and specificity were assessed using ROC curves (p < 0.05, AUC > 0.8). Non-aligned reads were used for microbiome analysis with Kraken2 for bacterial identification. Microbial analysis included LDA score, Alpha and Beta diversity metrics, with significance set at p ≤ 0.05. Spearman's correlation between differentially expressed genes (DEGs) and bacteria were also examined. Results: The data revealed a gene expression pattern in EBV-positive gastric cancer, highlighting immune response, inflammation, and cell proliferation genes (e.g., Conclusion: These findings suggest a complex interaction between the host (EBV+ GC) and the microbiota, possibly influencing cancer progression, and offering potential therapeutic targets such as microbiota modulation or gene regulation. Comparing with EBV- samples further highlights the specific impact of EBV and the microbiota on gastric cancer pathogenesis.

Indexed as

carcinogenesisEBVgastric cancergastric microbiomemetatranscriptomics

Identifiers

PMID40110195
PMCPMC11919665

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