Guest guest Posted September 30, 2005 Report Share Posted September 30, 2005 Hi All, See the pdf-available paper described partially below suggesting that how tall we are and how much we weigh may be related to our acquisition probability for lymphomas. Willett EV, Skibola CF, on P, Skibola DR, GJ, MT, Roman E. Non-Hodgkin's lymphoma, obesity and energy homeostasis polymorphisms. Br J Cancer. 2005 Sep 13; [Epub ahead of print] PMID: 16160698 A population-based case-control study of lymphomas in England collected height and weight details from 699 non-Hodgkin's lymphoma (NHL) cases and 914 controls. Obesity, defined as a body mass index (BMI) over 30 kg m(-2) at five years before diagnosis, was associated with an increased risk of NHL (OR=1.5, 95% CI 1.1-2.1). The excess was most pronounced for diffuse large B-cell lymphoma (OR=1.9, 95% CI 1.3-2.8). Genetic variants in the leptin (LEP 19G>A, LEP -2548G>A) and leptin receptor genes (LEPR 223Q>R), previously shown to modulate NHL risk, as well as a polymorphism in the energy regulatory gene adiponectin (APM1 276G>T), were investigated. Findings varied with leptin genotype, the risks being decreased with LEP 19AA (OR=0.7, 95% CI 0.5-1.0) and increased with LEP -2548GA (OR=1.3, 95% CI 1.0-1.7) and -2548AA (OR=1.4, 95% CI 1.0-1.9), particularly for follicular lymphoma. These genetic findings, which were independent of BMI, were stronger for men than women. .... Table 2 Number of cases and controls, adjusted odds ratios and 95% confidence intervals for height ===================== ----NHL b DLBCL b FL b Height a Control----Case OR c 95% CI Case OR c 95% CI Case OR c 95% CI ======================== Males 495 361 167 103 p1.65 26 19 1.0 0.5–1.9 11 1.4 0.7–3.0 4 0.7 0.2–2.1 1.66–1.73 139 103 1.0 0.7–1.4 45 1.1 0.7–1.7 32 1.0 0.6–1.7 1.74–1.80 214 151 1 — 63 1 — 47 1 — 1.81–1.88 104 82 1.1 0.8–1.6 45 1.5 0.9–2.3 19 0.8 0.5–1.5 41.88 12 6 0.7 0.3–1.9 3 0.8 0.2–3.1 1 0.4 0.0–3.0 Females 419 338 150 125 p1.52 43 35 2.2 0.9–5.1 10 2.9 0.9–9.0 19 1.1 0.4–3.5 1.53–1.57 82 74 1.1 0.6–1.9 28 1.5 0.6–3.3 34 0.9 0.5–1.8 1.58–1.68 226 171 1 — 86 1 — 55 1 — 1.69–1.73 56 38 1.0 0.6–1.6 18 1.6 0.8–3.4 11 0.5 0.3–1.0 41.73 12 20 0.9 0.5–1.6 8 1.4 0.6–3.4 6 0.4 0.2–1.0 ====================== a Height, in metres, at diagnosis/reference date. b NHL = non-Hodgkin’s lymphoma; DLBCL = diffuse large B-cell lymphoma; FL = follicular lymphoma. c Odds ratios adjusted for age and region estimated using unconditional logistic regression. Table 3 Number of cases and controls, adjusted odds ratios and 95% confidence intervals by age for body mass index ==================== ----NHLb DLBCLb FLb BMIa Control Case----ORc 95% CI Case ORc 95% CI Case ORc 95% CI ==================== Total 914 699 317 228 Underweight 14 5 0.5 0.2–1.5 2 0.5 0.1–2.0 0 0 Normal 510 347 1 — 159 1 — 120 1 — Grade 1 298 247 1.2 1.0–1.5 99 1.1 0.8–1.4 80 1.2 0.9–1.6 Grades 2 and 3 89 96 1.5 1.1–2.1 54 1.9 1.3–2.8 27 1.2 0.8–2.0 o45 years 202 107 60 29 Underweight 4 1 0.5 0.1–5.0 1 1.1 0.1–11.0 0 Normal 133 60 1 — 32 1 — 18 1 — Grade 1 51 26 1.2 0.6–2.1 15 1.2 0.6–2.4 6 1.1 0.4–3.1 Grades 2 and 3 14 17 2.7 1.2–5.8 10 3.0 1.2–7.5 4 1.8 0.5–6.3 45 to o55 years 297 243 107 93 Underweight 8 1 0.2 0.0–1.3 0 0 Normal 174 127 1 — 58 1 — 49 1 — Grade 1 91 83 1.4 0.9–2.0 32 1.1 0.7–1.9 31 1.3 0.7–2.1 Grades 2 and 3 24 31 1.8 1.0–3.3 16 2.0 1.0–4.1 13 1.9 0.9–4.0 55 to o65 years 415 349 150 106 Underweight 2 3 1.9 0.3–11.3 1 1.5 0.1–16.6 0 Normal 203 160 1 — 69 1 — 53 1 — Grade 1 156 138 1.1 0.8–1.6 52 1.0 0.6–1.5 43 1.2 0.7–1.8 Grades 2 and 3 51 48 1.2 0.8–1.9 28 1.6 1.0–2.8 10 0.8 0.4–1.6 ======================== a Body mass index (BMI) at 5 years prior to diagnosis/reference date where BMI categorised as underweight: o18.5; normal: 18.5–24.99; grade 1 overweight: 25–29.99; grades 2 and 3 overweight: =/>30 (WHO Expert Committee on Physical Status, 1995). BMI was missing for four cases and three controls as weight was not reported. b NHL = non-Hodgkin’s lymphoma; DLBCL = diffuse large B-cell lymphoma; FL = follicular lymphoma. c Odds ratios adjusted for age, sex and region estimated using unconditional logistic regression. ... Al Pater, PhD; email: old542000@... __________________________________ - PC Magazine Editors' Choice 2005 http://mail. Quote Link to comment Share on other sites More sharing options...
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