Evidence map›Paper›PMID 24966902›Full record

ArticleInternational journal of clinical and experimental pathology2014

Dual expression of Epstein-Barr virus, latent membrane protein-1 and human papillomavirus-16 E6 transform primary mouse embryonic fibroblasts through NF-κB signaling.

Tetsuya Shimabuku, Ayumi Tamanaha, Bunta Kitamura, Yasuka Tanabe, Natsumi Tawata, Fukino Ikehara, Kazunari Arakaki, Takao Kinjo

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. How Does Epstein-Barr Virus Interact With Other Microbiomes in EBV-Driven Cancers?Frontiers in cellular and infection microbiology · 2022
    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

8 authors at 1 institution in 1 country.

Tetsuya ShimabukuDivision of Morphological Pathology, Department of Basic Laboratory Sciences, School of Health Sciences, University of the Ryukyus Japan.
Ayumi TamanahaDivision of Morphological Pathology, Department of Basic Laboratory Sciences, School of Health Sciences, University of the Ryukyus Japan.
Bunta KitamuraDivision of Morphological Pathology, Department of Basic Laboratory Sciences, School of Health Sciences, University of the Ryukyus Japan.
Yasuka TanabeDivision of Morphological Pathology, Department of Basic Laboratory Sciences, School of Health Sciences, University of the Ryukyus Japan.
Natsumi TawataDivision of Morphological Pathology, Department of Basic Laboratory Sciences, School of Health Sciences, University of the Ryukyus Japan.
Fukino IkeharaDivision of Morphological Pathology, Department of Basic Laboratory Sciences, School of Health Sciences, University of the Ryukyus Japan.
Kazunari ArakakiThe Department of Pathology and Cell Biology, Graduate School of Medicine, University of the Ryukyus Japan.
Takao KinjoDivision of Morphological Pathology, Department of Basic Laboratory Sciences, School of Health Sciences, University of the Ryukyus Japan.
University of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of Epstein-Barr virus (EBV) and high-risk human papilloma virus (HPV) infections in patients with oral cancer in Okinawa, southwest islands of Japan, has led to the hypothesis that carcinogenesis is related to EBV and HPV co-infection. To explore the mechanisms of transformation induced by EBV and HPV co-infection, we analyzed the transformation of primary mouse embryonic fibroblasts (MEFs) expressing EBV and HPV-16 genes, alone or in combination. Expression of EBV latent membrane protein-1 (LMP-1) alone or in combination with HPV-16 E6 increased cell proliferation and decreased apoptosis, whereas single expression of EBV nuclear antigen-1 (EBNA-1), or HPV-16 E6 did not. Co-expression of LMP-1 and E6 induced anchorage-independent growth and tumor formation in nude mice, whereas expression of LMP-1 alone did not. Although the singular expression of these viral genes showed increased DNA damage and DNA damage response (DDR), co-expression of LMP-1 and E6 did not induce DDR, which is frequently seen in cancer cells. Furthermore, co-expression of LMP-1 with E6 increased NF-κB signaling, and the knockdown of LMP-1 or E6 in co-expressing cells decreased cell proliferation, anchorage independent growth, and NF-κB activation. These data suggested that expression of individual viral genes is insufficient for inducing transformation and that co-expression of LMP-1 and E6, which is associated with suppression of DDR and increased NF-κB activity, lead to transformation. Our findings demonstrate the synergistic effect by the interaction of oncogenes from different viruses on the transformation of primary MEFs.

Indexed as

Cell Transformation, ViralSignal TransductionAnimalsApoptosisCell LineCell ProliferationEpstein-Barr Virus Nuclear AntigensFemaleFibroblastsMice, Inbred BALB CMice, NudeNeoplasmsNF-kappa BOncogene Proteins, ViralRepressor ProteinsRNA InterferenceE6 protein, Human papillomavirus type 16EBV-associated membrane antigen, Epstein-Barr virusEBV-encoded nuclear antigen 1Epstein-Barr Virus Nuclear AntigensNF-kappa BOncogene Proteins, ViralRepressor ProteinsViral Matrix Proteinsco-expressionE6LMP-1NF-κBprimary mouse embryonic fibroblasttransformation

Identifiers

PMID24966902
PMCPMC4069875
OpenAlexW2411617063

What OpenQuestion holds

Textmetadata
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.