Literature DB >> 17545638

Polychlorinated biphenyl levels in peripheral blood and non-Hodgkin's lymphoma: a report from three cohorts.

Lawrence S Engel1, Francine Laden, Aage Andersen, Paul T Strickland, Aaron Blair, Larry L Needham, Dana B Barr, Mary S Wolff, Kathy Helzlsouer, David J Hunter, Qing Lan, Kenneth P Cantor, George W Comstock, John W Brock, David Bush, Robert N Hoover, Nathaniel Rothman.   

Abstract

The incidence of non-Hodgkin's lymphoma (NHL) unrelated to HIV infection has steadily increased over the past several decades and remains substantially unexplained. Limited evidence suggests that increased concentrations of polychlorinated biphenyls (PCB) measured in blood or fat tissue are associated with increased risk of NHL. Although PCB congeners vary in their biological activity, the relation between individual congeners and NHL risk has not been examined previously using prospectively collected biospecimens. We examined congener-specific associations in three prospective cohorts. Prediagnostic serum or plasma concentrations of selected PCB congeners were measured among NHL cases and controls from these cohorts: Janus (190 cases and 190 controls) in Norway and CLUE I (74 cases and 147 controls) and the Nurses' Health Study (30 cases and 78 controls) in the United States. All blood samples were collected in the 1970s or 1980s. We used logistic regression to calculate odds ratios (OR) and 95% confidence intervals (95% CI) for the relations between risk of NHL and lipid-corrected plasma or serum concentrations. Several congeners (i.e., 118, 138, and 153) that were present at higher levels and were moderately to highly correlated with each other showed exposure-response trends with risk of NHL in all three cohorts. These associations were observed primarily among subjects diagnosed closer to the date of blood collection in the two cohorts with sufficient cases to permit stratification by time. Among cases diagnosed within the median years of follow-up (16 years in Janus and 12 years in CLUE I), ORs and 95% CIs for increasing fourths of concentration of congener 118 relative to the lowest fourth were as follows: 2.4 (0.9-6.5), 4.9 (1.6-15.3), and 5.3 (1.5-18.8; P(trend) < 0.005) in Janus and 8.1 (1.0-68.9), 6.6 (0.7-59.0), and 13.0 (1.6-106.8; P(trend) < 0.05) in CLUE I. Similar patterns were seen for congeners 138 and 153 and for total PCBs. Limited evidence of exposure-response trends was also observed for several other congeners. The primary 1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane metabolite, p,p'-DDE, was not significantly associated with NHL in most analyses but slightly to moderately confounded the PCB associations. The results from these three cohorts suggest that concentrations of certain PCBs in blood are associated with increased risk of NHL.

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Year:  2007        PMID: 17545638     DOI: 10.1158/0008-5472.CAN-06-3906

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  40 in total

1.  3-Methylcholanthrene (3-MC) and 4-chlorobiphenyl (PCB3) genotoxicity is gender-related in Fischer 344 transgenic rats.

Authors:  J A Jacobus; B Wang; C Maddox; H Esch; L Lehmann; L W Robertson; K Wang; P Kirby; G Ludewig
Journal:  Environ Int       Date:  2010-08-23       Impact factor: 9.621

2.  Residential proximity to industrial facilities and risk of non-Hodgkin lymphoma.

Authors:  A J De Roos; S Davis; J S Colt; A Blair; M Airola; R K Severson; W Cozen; J R Cerhan; P Hartge; J R Nuckols; M H Ward
Journal:  Environ Res       Date:  2010-01       Impact factor: 6.498

3.  B-1 cell lymphoma in mice lacking the steroid and xenobiotic receptor, SXR.

Authors:  Stephanie C Casey; Edward L Nelson; Gina M Turco; Matthew R Janes; David A Fruman; Bruce Blumberg
Journal:  Mol Endocrinol       Date:  2011-03-24

4.  Mortality among capacitor workers exposed to polychlorinated biphenyls (PCBs), a long-term update.

Authors:  Renate D Kimbrough; Constantine A Krouskas; Wenjing Xu; Peter G Shields
Journal:  Int Arch Occup Environ Health       Date:  2014-04-22       Impact factor: 3.015

5.  Body concentrations of persistent organic pollutants and prostate cancer: a meta-analysis.

Authors:  Jung-eun Lim; Su Hyun Park; Sun Ha Jee; Hyesook Park
Journal:  Environ Sci Pollut Res Int       Date:  2015-03-24       Impact factor: 4.223

6.  Plasma organochlorine levels and risk of non-Hodgkin lymphoma in a cohort of men.

Authors:  Kimberly A Bertrand; Donna Spiegelman; Jon C Aster; Larisa M Altshul; Susan A Korrick; Scott J Rodig; Shumin M Zhang; Tobias Kurth; Francine Laden
Journal:  Epidemiology       Date:  2010-03       Impact factor: 4.822

7.  Cancer and non-cancer excess mortality resulting from mixed exposure to polychlorinated biphenyls and polychlorinated dibenzofurans from contaminated rice oil: "Yusho".

Authors:  Saori Kashima; Takashi Yorifuji; Toshihide Tsuda; Akira Eboshida
Journal:  Int Arch Occup Environ Health       Date:  2014-08-05       Impact factor: 3.015

8.  Bayes and empirical Bayes methods for reduced rank regression models in matched case-control studies.

Authors:  Jaya M Satagopan; Ananda Sen; Qin Zhou; Qing Lan; Nathaniel Rothman; Hilde Langseth; Lawrence S Engel
Journal:  Biometrics       Date:  2015-11-17       Impact factor: 2.571

Review 9.  Research recommendations for selected IARC-classified agents.

Authors:  Elizabeth M Ward; Paul A Schulte; Kurt Straif; Nancy B Hopf; Jane C Caldwell; Tania Carreón; David M DeMarini; Bruce A Fowler; Bernard D Goldstein; Kari Hemminki; Cynthia J Hines; Kirsti Husgafvel Pursiainen; Eileen Kuempel; Joellen Lewtas; Ruth M Lunn; Elsebeth Lynge; Damien M McElvenny; Hartwig Muhle; Tamie Nakajima; Larry W Robertson; Nathaniel Rothman; Avima M Ruder; Mary K Schubauer-Berigan; Jack Siemiatycki; Debra Silverman; Martyn T Smith; Tom Sorahan; Kyle Steenland; Richard G Stevens; Paolo Vineis; Shelia Hoar Zahm; Lauren Zeise; Vincent J Cogliano
Journal:  Environ Health Perspect       Date:  2010-06-18       Impact factor: 9.031

10.  Age-period-cohort modelling of non-Hodgkin's lymphoma incidence in a French region: a period effect compatible with an environmental exposure.

Authors:  Jean-François Viel; Evelyne Fournier; Arlette Danzon
Journal:  Environ Health       Date:  2010-08-08       Impact factor: 5.984

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