Evidence map›Paper›PMID 24161012›Full record

ArticleVirology journal2013

Comprehensive profiling of Epstein-Barr virus-encoded miRNA species associated with specific latency types in tumor cells.

Hong-Jie Yang, Tie-Jun Huang, Chang-Fu Yang, Li-Xia Peng, Ran-Yi Liu, Guang-Da Yang, Qiao-Qiao Chu, Jia-Ling Huang, Na Liu, Hong-Bing Huang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

36 citing papers in PubMed, 46 citations in OpenAlex.

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  10. Microarray Analysis of Novel Genes Involved in Nasopharyngeal Carcinoma.Bulletin of experimental biology and medicine · 2021
    Article
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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 at 6 institutions in 2 countries.

Hong-Jie Yang
Tie-Jun Huang
Chang-Fu Yang
Li-Xia Peng
Ran-Yi Liu
Guang-Da Yang
Qiao-Qiao Chu
Jia-Ling Huang
Na Liu
Hong-Bing Huang
Zhen-Yu Zhu
Chao-Nan QianState Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China. qianchn@sysucc.org.cn.
Bi-Jun Huang
Sun Yat-sen University · CNState Key Laboratory of Oncology in South ChinaGaozhou People's Hospital · CNShenzhen Second People's Hospital · CNSun Yat-sen University Cancer Center · CNUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpstein-Barr virus (EBV) is an etiological cause of many human lymphocytic and epithelial malignancies. EBV expresses different genes that are associated with three latency types. To date, as many as 44 EBV-encoded miRNA species have been found, but their comprehensive profiles in the three types of latent infection that are associated with various types of tumors are not well documented.

methodsIn the present study, we utilized poly (A)-tailed quantitative real-time RT-PCR in combination with microarray analysis to measure the relative abundances of viral miRNA species in a subset of representative lymphoid and epithelial tumor cells with various EBV latency types.

resultsOur findings showed that the miR-BHRF1 and miR-BART families were expressed differentially in a tissue- and latency type-dependent manner. Specifically, in nasopharyngeal carcinoma (NPC) tissues and the EBV-positive cell line C666-1, the miR-BART family accounted for more than 10% of all detected miRNAs, suggesting that these miRNAs have important roles in maintaining latent EBV infections and in driving NPC tumorigenesis. In addition, EBV miRNA-based clustering analysis clearly distinguished between the three distinct EBV latency types, and our results suggested that a switch from type I to type III latency might occur in the Daudi BL cell line.

conclusionsOur data provide a comprehensive profiling of the EBV miRNA transcriptome that is associated with specific tumor cells in the three types of latent EBV infection states. EBV miRNA species represent a cluster of non-encoding latency biomarkers that are differentially expressed in tumor cells and may help to distinguish between the different latency types.

Indexed as

Gene Expression ProfilingVirus LatencyBiopsyCells, CulturedHerpesvirus 4, HumanHumansLeukemia, LymphoidMicroarray AnalysisMicroRNAsNeoplasms, Glandular and EpithelialReal-Time Polymerase Chain ReactionRNA, ViralMicroRNAsRNA, Viral

Identifiers

PMID24161012
PMCPMC4231337
OpenAlexW2149522334

What OpenQuestion holds

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LicenceCC BY
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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.