Evidence map›Paper›PMID 38940866›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Plasma metabolites in childhood Burkitt lymphoma cases and cancer-free controls in Uganda.

Jiaqi Huang, Hadijah Nabalende, M Constanza Camargo, Jacqueline Lovett, Isaac Otim, Ismail D Legason, Martin D Ogwang, Patrick Kerchan, Tobias Kinyera, Leona W Ayers and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Jiaqi HuangNational Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Department of Metabolism and Endocrinology, Ministry of Education, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Hadijah NabalendeEMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
M Constanza CamargoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA.
Jacqueline LovettLaboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA.
Isaac OtimEMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
Ismail D LegasonEMBLEM Study, Arua & African Field Epidemiology Network, Kuluva Hospital, Kuluva, Kampala, Uganda.
Martin D OgwangEMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
Patrick KerchanEMBLEM Study, Arua & African Field Epidemiology Network, Kuluva Hospital, Kuluva, Kampala, Uganda.
Tobias KinyeraEMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
Leona W AyersDepartment of Pathology, The Ohio State University, Columbus, OH, USA.
Kishor BhatiaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA.
James J GoedertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA.
Steven J ReynoldsDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Peter D CromptonDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Steven C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA.
Ruin MoaddelLaboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA.
Demetrius Albanes *Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA.
Sam M Mbulaiteye *Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA. mbulaits@mail.nih.gov.

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
Mechanisms of naturally-acquired immunity to malaria and clinical trials of anti-malaria monoclonal antibodiesZIAAI001155 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI CROMPTON, PETER · 2011 to 2025
$30.9M
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
NCI NIH HHS HHSN261201100007INCI NIH HHS HHSN261201100063CNHLBI NIH HHS HHSN261201100007C
6 · The paper itself

Abstract

introductionBurkitt lymphoma (BL) is an aggressive non-Hodgkin lymphoma associated with Plasmodium falciparum and Epstein-Barr virus, both of which affect metabolic pathways. The metabolomic patterns of BL is unknown. MATERIALS AND

methodsWe measured 627 metabolites in pre-chemotherapy treatment plasma samples from 25 male children (6-11 years) with BL and 25 cancer-free area- and age-frequency-matched male controls from the Epidemiology of Burkitt Lymphoma in East African Children and Minors study in Uganda using liquid chromatography-tandem mass spectrometry. Unconditional, age-adjusted logistic regression analysis was used to estimate odds ratios (ORs) and their 95% confidence intervals (CIs) for the BL association with 1-standard deviation increase in the log-metabolite concentration, adjusting for multiple comparisons using false discovery rate (FDR) thresholds and Bonferroni correction.

resultsCompared to controls, levels for 42 metabolite concentrations differed in BL cases (FDR < 0.001), including triacylglyceride (18:0_38:6), alpha-aminobutyric acid (AABA), ceramide (d18:1/20:0), phosphatidylcholine ae C40:6 and phosphatidylcholine C38:6 as the top signals associated with BL (ORs = 6.9 to 14.7, P < 2.4✕10

conclusionOur findings warrant further examination of plasma metabolites as potential biomarkers for BL risk/diagnosis.

Indexed as

Burkitt LymphomaMetabolomicsCase-Control StudiesChildFemaleHumansMaleMetabolomeUgandaBurkitt lymphomaEpidemiologyEpstein-Barr virusMetabolomicsNon-hodgkin lymphomaPlasmodium Falciparum malaria

Identifiers

PMID38940866
PMCPMC11213758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.