Evidence map›Paper›PMID 28465297›Full record

ArticleMolecular cancer research : MCR2017

Comprehensive Transcriptome and Mutational Profiling of Endemic Burkitt Lymphoma Reveals EBV Type-Specific Differences.

Yasin Kaymaz, Cliff I Oduor, Hongbo Yu, Juliana A Otieno, John Michael Ong'echa, Ann M Moormann, Jeffrey A Bailey

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Molecular cancer research : MCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. NovelFrontiers in endocrinology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Subtyping Burkitt Lymphoma by DNA Methylation.Genes, chromosomes & cancer · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 2 countries.

Yasin KaymazProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
Cliff I OduorCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Hongbo YuDepartment of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts.
Juliana A OtienoJaramogi Oginga Odinga Teaching and Referral Hospital, Ministry of Health, Kisumu, Kenya.
John Michael Ong'echaCenter for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Ann M MoormannProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Jeffrey A BaileyProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts. jeffrey.bailey@umassmed.edu.
University of Massachusetts Chan Medical School · USKenya Medical Research Institute · KEMaseno University · KEMinistry of Health · KE

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
Impact of malaria on shaping immunity to EBV in the etiology of Burkitt lymphomaR01CA189806 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MOORMANN, ANN M · 2014 to 2024
$5.7M
T Cell Immunity in Endemic Burkitt LymphomaR01CA134051 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MOORMANN, ANN M · 2008 to 2012
$2.3M
Human copy number polymorphism and severe malariaR01AI099473 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BAILEY, JEFFREY A. · 2012 to 2015
$2.3M
NCATS NIH HHS UL1 TR000161NCATS NIH HHS UL1 TR001453NCI NIH HHS R01 CA134051NCI NIH HHS R01 CA189806NIAID NIH HHS R01 AI099473
6 · The paper itself

Abstract

Endemic Burkitt lymphoma (eBL) is the most common pediatric cancer in malaria-endemic equatorial Africa and nearly always contains Epstein-Barr virus (EBV), unlike sporadic Burkitt lymphoma (sBL) that occurs with a lower incidence in developed countries. Given these differences and the variable clinical presentation and outcomes, we sought to further understand pathogenesis by investigating transcriptomes using RNA sequencing (RNAseq) from multiple primary eBL tumors compared with sBL tumors. Within eBL tumors, minimal expression differences were found based on: anatomical presentation site, in-hospital survival rates, and EBV genome type, suggesting that eBL tumors are homogeneous without marked subtypes. The outstanding difference detected using surrogate variable analysis was the significantly decreased expression of key genes in the immunoproteasome complex ( IMPLICATIONS: Genomic and mutational analyses of Burkitt lymphoma tumors identify key differences based on viral content and clinical outcomes suggesting new avenues for the development of prognostic molecular biomarkers and therapeutic interventions.

Indexed as

MutationAdolescentBurkitt LymphomaChildChild, PreschoolEndemic DiseasesEpstein-Barr Virus InfectionsFemaleGene Expression ProfilingGene Regulatory NetworksGenome, ViralHerpesvirus 4, HumanHumansKenyaMaleMutation Rate

Identifiers

PMID28465297
PMCPMC5471630
OpenAlexW2580872164

What OpenQuestion holds

Textmetadata
LicenceTDM
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.