Erythrocyte membrane fatty acid composition, serum lipids, and non-Hodgkin's lymphoma risk in a nested case-control study: the multiethnic cohort.
OBJECTIVE
Composition of dietary fatty acid intake, which influences cytokine production, may contribute to the development of non-Hodgkin's lymphoma (NHL). Serum lipid levels may serve as biomarkers of inflammation associated with NHL risk.


METHODS
We conducted a case-control analysis (275 cases and 549 controls) nested within the Multiethnic Cohort Study (whites, Japanese Americans, Latinos, African Americans, and Native Hawaiians) to examine the association of prediagnostic, erythrocyte membrane phospholipid fatty acid composition, and serum cholesterol and triglyceride (TG) concentrations with the risk of NHL. Conditional logistic regression was used to calculate odds ratios (OR) and 95 % confidence intervals (CI) by tertiles of biomarker concentrations.


RESULTS
Higher total saturated fatty acids (SFA) were associated with an increase in NHL risk (OR(T3 vs. T1) = 1.57 [95 % CI: 1.03-2.39]; p(trend) = 0.01), whereas no associations were detected for total n-3 or n-6 polyunsaturated fatty acids. Inverse associations were observed for total cholesterol (TC; OR (T3 vs. T1) = 0.51 [95 % CI: 0.35-0.74]; p(trend) < 0.0001) and high-density lipoprotein cholesterol (HDL-C; OR (T3 vs. T1) = 0.47 [95 % CI: 0.31-0.71]; p(trend) = 0.0001) but not for low-density lipoprotein cholesterol or TG. Adjustment for the use of lipid-lowering medication did not modify the results substantially.


CONCLUSIONS
This prospective biomarker investigation offers supportive evidence for an adverse effect of higher erythrocyte membrane SFA levels on NHL risk, but preclinical effects cannot be excluded. Inverse relations between prediagnostic, circulating TC and HDL-C and NHL risk may be due to reverse causation or a result of protective actions of these lipids and lipoproteins.
University of Hawaii Cancer Center, 1236 Lauhala Street, Honolulu, HI 96813, USA. morimoto@cc.hawaii.edu
Yukiko
Y
Morimoto
Shannon M
SM
Conroy
Nicholas J
NJ
Ollberding
Susanne M
SM
Henning
Adrian A
AA
Franke
Lynne R
LR
Wilkens
Marc T
MT
Goodman
Brenda Y
BY
Hernandez
Loïc
L
Le Marchand
Brian E
BE
Henderson
Laurence N
LN
Kolonel
Gertraud
G
Maskarinec
D001741:Black or African American; D000368:Aged; D015415:Biomarkers / Q000097:blood; D016022:Case-Control Studies; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D015331:Cohort Studies; D016001:Confidence Intervals; D004910:Erythrocyte Membrane / Q000737:chemistry*; D005227:Fatty Acids / Q000097:blood*; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood; D016015:Logistic Models; D008228:Lymphoma, Non-Hodgkin / Q000453:epidemiology / Q000208:ethnology* / Q000378:metabolism*; D008297:Male; D011446:Prospective Studies; D012306:Risk; D014280:Triglycerides / Q000097:blood; D044465:White People
D015415:Biomarkers; D008076:Cholesterol, HDL; D005227:Fatty Acids; D008055:Lipids; D014280:Triglycerides; D002784:Cholesterol