Evidence map›Paper›PMID 29865259›Full record

ArticleCancers2018

Frequency of EBV LMP-1 Promoter and Coding Variations in Burkitt Lymphoma Samples in Africa and South America and Peripheral Blood in Uganda.

Hsiao-Mei Liao, Hebing Liu, Heiyan Lei, Bingjie Li, Pei-Ju Chin, Shien Tsai, Kishor Bhatia, Marina Gutierrez, Sidnei Epelman, Robert J Biggar and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2018. 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.

  1. Article
  2. 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

16 authors.

Hsiao-Mei LiaoCenter for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA. hsiao-mei.liao@fda.hhs.gov.
Hebing LiuCenter for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA. hebing.liu@fda.hhs.gov.
Heiyan LeiCenter for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA. lei.haiyan@nih.gov.
Bingjie LiCenter for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA. bingjie.li@fda.hhs.gov.
Pei-Ju ChinCenter for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA. pei-ju.chin@fda.hhs.gov.
Shien TsaiCenter for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA. shien.tsai@gmail.com.
Kishor BhatiaCancer Genetics, Inc., Rutherford, NJ 07070, USA. kishor.bhatia@cgix.com.
Marina GutierrezLaboratorio Stamboulian, Laboratorio Stamboulian, Buenos Aires 1414, Argentina. mgutierrez@stamboulian.com.ar.
Sidnei EpelmanDepartment of Pediatric Oncology, St Marcelina Hospital, Sao Paolo 08270-070, Brazil. epelman@uol.com.br.
Robert J BiggarInfections and Immunoepidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA. rjbiggar@gmail.com.
Francis NkrumahNoguchi Memorial Institute, Kor Le Bu University, P.O. Box LG 581 Legon, Accra, Ghana. FNkrumah@noguchi.ug.edu.gh.
Janet NeequayeDepartment of Child Health, University of Ghana, P.O. Box LG 25 Legon, Accra, Ghana. janet.neequaye@yahoo.com.
Martin D OgwangEMBLEM Study, St. Mary's Hospital, Lacor, P.O. Box 180, Gulu, Uganda. ogwang.martin@lacorhospital.org.
Steven J ReynoldsDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA. sjr@jhmi.edu.
Shyh-Ching LoCenter for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA. shyhching.lo@fda.hhs.gov.
Sam M MbulaiteyeInfections and Immunoepidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA. mbulaits@mail.nih.gov.ORCID 0000-0002-8273-9831

Funding

Epidemiology and Natural History of Cancer-Associated VirusesZIACP010176 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MBULAITEYE, SAM M · 2009 to 2025
$33.7M
International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZIAAI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REYNOLDS, STEVEN · 2009 to 2025
$23.5M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is linked to several cancers, including endemic Burkitt lymphoma (eBL), but causal variants are unknown. We recently reported novel sequence variants in the LMP-1 gene and promoter in EBV genomes sequenced from 13 of 14 BL biopsies. Alignments of the novel sequence variants for 114 published EBV genomes, including 27 from BL cases, revealed four LMP-1 variant patterns, designated A to D. Pattern A variant was found in 48% of BL EBV genomes. Here, we used PCR-Sanger sequencing to evaluate 50 additional BL biopsies from Ghana, Brazil, and Argentina, and peripheral blood samples from 113 eBL cases and 115 controls in Uganda. Pattern A was found in 60.9% of 64 BL biopsies evaluated. Compared to PCR-negative subjects in Uganda, detection of Pattern A in peripheral blood was associated with eBL case status (odds ratio [OR] 31.7, 95% confidence interval: 6.8⁻149), controlling for relevant confounders. Variant Pattern A and Pattern D were associated with eBL case status, but with lower ORs (9.7 and 13.6, respectively). Our results support the hypothesis that EBV LMP-1 Pattern A may be associated with eBL, but it is not the sole associated variant. Further research is needed to replicate and elucidate our findings.

Indexed as

AfricaBurkitt lymphomaEpstein-Barr virusLatin AmericaLMP-1next-generation sequencing

Identifiers

PMID29865259
PMCPMC6024959

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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.