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Plasma metabolites in childhood Burkitt lymphoma cases and cancer-free controls in Uganda.
Huang, Jiaqi; Nabalende, Hadijah; Camargo, M Constanza; Lovett, Jacqueline; Otim, Isaac; Legason, Ismail D; Ogwang, Martin D; Kerchan, Patrick; Kinyera, Tobias; Ayers, Leona W; Bhatia, Kishor; Goedert, James J; Reynolds, Steven J; Crompton, Peter D; Moore, Steven C; Moaddel, Ruin; Albanes, Demetrius; Mbulaiteye, Sam M.
Affiliation
  • Huang J; National 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.
  • Nabalende H; Xiangya School of Public Health, Central South University, Changsha, Hunan, 410128, China.
  • Camargo MC; CSU-Sinocare Research Center for Nutrition and Metabolic Health, Changsha, China.
  • Lovett J; EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
  • Otim I; 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.
  • Legason ID; Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA.
  • Ogwang MD; EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
  • Kerchan P; EMBLEM Study, Arua & African Field Epidemiology Network, Kuluva Hospital, Kuluva, Kampala, Uganda.
  • Kinyera T; EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
  • Ayers LW; EMBLEM Study, Arua & African Field Epidemiology Network, Kuluva Hospital, Kuluva, Kampala, Uganda.
  • Bhatia K; EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
  • Goedert JJ; Department of Pathology, The Ohio State University, Columbus, OH, USA.
  • Reynolds SJ; 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.
  • Crompton PD; 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.
  • Moore SC; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  • Moaddel R; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  • Albanes D; 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.
  • Mbulaiteye SM; Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA.
Metabolomics ; 20(4): 67, 2024 Jun 28.
Article in En | MEDLINE | ID: mdl-38940866
ABSTRACT

INTRODUCTION:

Burkitt 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

METHODS:

We 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.

RESULTS:

Compared to controls, levels for 42 metabolite concentrations differed in BL cases (FDR < 0.001), including triacylglyceride (180_386), alpha-aminobutyric acid (AABA), ceramide (d181/200), phosphatidylcholine ae C406 and phosphatidylcholine C386 as the top signals associated with BL (ORs = 6.9 to 14.7, P < 2.4✕10- 4). Two metabolites (triacylglyceride (180_386) and AABA) selected using stepwise logistic regression discriminated BL cases from controls with an area under the curve of 0.97 (95% CI 0.94, 1.00).

CONCLUSION:

Our findings warrant further examination of plasma metabolites as potential biomarkers for BL risk/diagnosis.
Subject(s)
Key words

Full text: 1 Database: MEDLINE Main subject: Burkitt Lymphoma / Metabolomics Limits: Child / Female / Humans / Male Country/Region as subject: Africa Language: En Journal: Metabolomics Year: 2024 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Main subject: Burkitt Lymphoma / Metabolomics Limits: Child / Female / Humans / Male Country/Region as subject: Africa Language: En Journal: Metabolomics Year: 2024 Type: Article Affiliation country: China