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Risk of specific lymphoma subtypes is associated to polymorphism in genes implicated in the metabolism of workplace carcinogens
Objectives Exploring lymphoma risk associated with metabolic gene polymorphisms might provide clues on the role of gene-environment interactions in lymphomagenesis. Methods We assessed polymorphisms in genes encoding for the metabolic enzymes CYP1A2, CYP2E1, GSTM1, GSTT1, NAT1, NAT2, NQ01, and PON1...
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Published in: | Occupational and environmental medicine (London, England) England), 2011-09, Vol.68 (Suppl 1), p.A35-A35 |
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creator | Cocco, Pierluigi Zucca, Mariagrazia Satta, Giannina Nonne, Tinucia Meloni, Michele Flore, Costantino Angelucci, Emanuele Gabbas, Attilio Moore, Patrick Scarpa, Aldo Ennas, Maria Grazia |
description | Objectives Exploring lymphoma risk associated with metabolic gene polymorphisms might provide clues on the role of gene-environment interactions in lymphomagenesis. Methods We assessed polymorphisms in genes encoding for the metabolic enzymes CYP1A2, CYP2E1, GSTM1, GSTT1, NAT1, NAT2, NQ01, and PON1 in 255 incident lymphoma cases and 204 population controls. The OR for lymphoma overall, B lymphoma, and the diffuse large B cell lymphoma (DLBCL) and chronic lymphocytic leukaemia (CLL) subtypes, associated to the less frequent allele was calculated along with the respective 95% CI, adjusting by age and gender. Results GSTT1 gene polymorphism significantly increased risk of DLBCL (OR = 5.0, IC 95% 3.0 to 8.3). An excess risk of DLBCL was also related to polymorphisms in the CYP1A2, PON1, NAT1 and NAT2genes. CLL risk was reduced in relation to CYP1A2 polymorphisms, increased in relation to GSTM1 deletion, and strongly associated with NAT1, and NAT2 mutant haplotypes. Conclusions Caution is recommended in interpreting the high risks in our study, due its small size. However, our results suggest that polymorphisms in genes encoding for the metabolic enzymes might affect risk of specific lymphoma subtypes associated with exposure to workplace carcinogens. |
doi_str_mv | 10.1136/oemed-2011-100382.112 |
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Methods We assessed polymorphisms in genes encoding for the metabolic enzymes CYP1A2, CYP2E1, GSTM1, GSTT1, NAT1, NAT2, NQ01, and PON1 in 255 incident lymphoma cases and 204 population controls. The OR for lymphoma overall, B lymphoma, and the diffuse large B cell lymphoma (DLBCL) and chronic lymphocytic leukaemia (CLL) subtypes, associated to the less frequent allele was calculated along with the respective 95% CI, adjusting by age and gender. Results GSTT1 gene polymorphism significantly increased risk of DLBCL (OR = 5.0, IC 95% 3.0 to 8.3). An excess risk of DLBCL was also related to polymorphisms in the CYP1A2, PON1, NAT1 and NAT2genes. CLL risk was reduced in relation to CYP1A2 polymorphisms, increased in relation to GSTM1 deletion, and strongly associated with NAT1, and NAT2 mutant haplotypes. Conclusions Caution is recommended in interpreting the high risks in our study, due its small size. However, our results suggest that polymorphisms in genes encoding for the metabolic enzymes might affect risk of specific lymphoma subtypes associated with exposure to workplace carcinogens.</description><identifier>ISSN: 1351-0711</identifier><identifier>EISSN: 1470-7926</identifier><identifier>DOI: 10.1136/oemed-2011-100382.112</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd</publisher><subject>Carcinogens ; Genotype-environment interactions ; Haplotypes ; Leukemia ; Lymphoma ; Occupational exposure</subject><ispartof>Occupational and environmental medicine (London, England), 2011-09, Vol.68 (Suppl 1), p.A35-A35</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2011 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://oem.bmj.com/content/68/Suppl_1/A35.1.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://oem.bmj.com/content/68/Suppl_1/A35.1.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,780,784,3196,23571,27924,27925,77600,77631</link.rule.ids></links><search><creatorcontrib>Cocco, Pierluigi</creatorcontrib><creatorcontrib>Zucca, Mariagrazia</creatorcontrib><creatorcontrib>Satta, Giannina</creatorcontrib><creatorcontrib>Nonne, Tinucia</creatorcontrib><creatorcontrib>Meloni, Michele</creatorcontrib><creatorcontrib>Flore, Costantino</creatorcontrib><creatorcontrib>Angelucci, Emanuele</creatorcontrib><creatorcontrib>Gabbas, Attilio</creatorcontrib><creatorcontrib>Moore, Patrick</creatorcontrib><creatorcontrib>Scarpa, Aldo</creatorcontrib><creatorcontrib>Ennas, Maria Grazia</creatorcontrib><title>Risk of specific lymphoma subtypes is associated to polymorphism in genes implicated in the metabolism of workplace carcinogens</title><title>Occupational and environmental medicine (London, England)</title><addtitle>Occup Environ Med</addtitle><description>Objectives Exploring lymphoma risk associated with metabolic gene polymorphisms might provide clues on the role of gene-environment interactions in lymphomagenesis. Methods We assessed polymorphisms in genes encoding for the metabolic enzymes CYP1A2, CYP2E1, GSTM1, GSTT1, NAT1, NAT2, NQ01, and PON1 in 255 incident lymphoma cases and 204 population controls. The OR for lymphoma overall, B lymphoma, and the diffuse large B cell lymphoma (DLBCL) and chronic lymphocytic leukaemia (CLL) subtypes, associated to the less frequent allele was calculated along with the respective 95% CI, adjusting by age and gender. Results GSTT1 gene polymorphism significantly increased risk of DLBCL (OR = 5.0, IC 95% 3.0 to 8.3). An excess risk of DLBCL was also related to polymorphisms in the CYP1A2, PON1, NAT1 and NAT2genes. CLL risk was reduced in relation to CYP1A2 polymorphisms, increased in relation to GSTM1 deletion, and strongly associated with NAT1, and NAT2 mutant haplotypes. Conclusions Caution is recommended in interpreting the high risks in our study, due its small size. However, our results suggest that polymorphisms in genes encoding for the metabolic enzymes might affect risk of specific lymphoma subtypes associated with exposure to workplace carcinogens.</description><subject>Carcinogens</subject><subject>Genotype-environment interactions</subject><subject>Haplotypes</subject><subject>Leukemia</subject><subject>Lymphoma</subject><subject>Occupational exposure</subject><issn>1351-0711</issn><issn>1470-7926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkUGLFDEQhRtRcF39CULAg6feTSWdpHOU0V1XFwXR9RjS6cTJTKcTkx50Tv51M9viwZPUoYrH96oKXtM8B3wBQPlltMGOLcEALWBMe1Jl8qA5g07gVkjCH9aZMmixAHjcPCllhzFQQclZ8-uTL3sUHSrJGu-8QdMxpG0MGpXDsByTLcgXpEuJxuvFjmiJKMUKxZy2vgTkZ_TNzicspMmbe6Zqy9aiYBc9xOlE1Qs_Yt6nSRuLjM7Gz7HaytPmkdNTsc_-9PPmy9Wbz5u37e3H65vNq9t2IJSQ1naWilFIaRjuXQ-868eBmW7kohsHKQYjB8ncqGkPzlktBokl8FoUDO8dPW9erntTjt8Ptiwq-GLsNOnZxkNREgBYxwmu5It_yF085Lk-p0D0QLFgnFeKrZTJsZRsnUrZB52PCrA6paLuU1GnVNSaSpVJ9bWrz5fF_vxr0nmvuKCCqQ93G_WaX9-9e3_F1NfK45Ufwu4_T_wGafmhMQ</recordid><startdate>20110901</startdate><enddate>20110901</enddate><creator>Cocco, Pierluigi</creator><creator>Zucca, Mariagrazia</creator><creator>Satta, Giannina</creator><creator>Nonne, Tinucia</creator><creator>Meloni, Michele</creator><creator>Flore, Costantino</creator><creator>Angelucci, Emanuele</creator><creator>Gabbas, Attilio</creator><creator>Moore, Patrick</creator><creator>Scarpa, Aldo</creator><creator>Ennas, Maria Grazia</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20110901</creationdate><title>Risk of specific lymphoma subtypes is associated to polymorphism in genes implicated in the metabolism of workplace carcinogens</title><author>Cocco, Pierluigi ; Zucca, Mariagrazia ; Satta, Giannina ; Nonne, Tinucia ; Meloni, Michele ; Flore, Costantino ; Angelucci, Emanuele ; Gabbas, Attilio ; Moore, Patrick ; Scarpa, Aldo ; Ennas, Maria Grazia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b2322-e4e37d799c508f81648db5c4d674db97bc9b95fda381ffea7b9091616131c68f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Carcinogens</topic><topic>Genotype-environment interactions</topic><topic>Haplotypes</topic><topic>Leukemia</topic><topic>Lymphoma</topic><topic>Occupational exposure</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cocco, Pierluigi</creatorcontrib><creatorcontrib>Zucca, Mariagrazia</creatorcontrib><creatorcontrib>Satta, Giannina</creatorcontrib><creatorcontrib>Nonne, Tinucia</creatorcontrib><creatorcontrib>Meloni, Michele</creatorcontrib><creatorcontrib>Flore, Costantino</creatorcontrib><creatorcontrib>Angelucci, Emanuele</creatorcontrib><creatorcontrib>Gabbas, Attilio</creatorcontrib><creatorcontrib>Moore, Patrick</creatorcontrib><creatorcontrib>Scarpa, Aldo</creatorcontrib><creatorcontrib>Ennas, Maria Grazia</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Occupational and environmental medicine (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cocco, Pierluigi</au><au>Zucca, Mariagrazia</au><au>Satta, Giannina</au><au>Nonne, Tinucia</au><au>Meloni, Michele</au><au>Flore, Costantino</au><au>Angelucci, Emanuele</au><au>Gabbas, Attilio</au><au>Moore, Patrick</au><au>Scarpa, Aldo</au><au>Ennas, Maria Grazia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk of specific lymphoma subtypes is associated to polymorphism in genes implicated in the metabolism of workplace carcinogens</atitle><jtitle>Occupational and environmental medicine (London, England)</jtitle><addtitle>Occup Environ Med</addtitle><date>2011-09-01</date><risdate>2011</risdate><volume>68</volume><issue>Suppl 1</issue><spage>A35</spage><epage>A35</epage><pages>A35-A35</pages><issn>1351-0711</issn><eissn>1470-7926</eissn><abstract>Objectives Exploring lymphoma risk associated with metabolic gene polymorphisms might provide clues on the role of gene-environment interactions in lymphomagenesis. Methods We assessed polymorphisms in genes encoding for the metabolic enzymes CYP1A2, CYP2E1, GSTM1, GSTT1, NAT1, NAT2, NQ01, and PON1 in 255 incident lymphoma cases and 204 population controls. The OR for lymphoma overall, B lymphoma, and the diffuse large B cell lymphoma (DLBCL) and chronic lymphocytic leukaemia (CLL) subtypes, associated to the less frequent allele was calculated along with the respective 95% CI, adjusting by age and gender. Results GSTT1 gene polymorphism significantly increased risk of DLBCL (OR = 5.0, IC 95% 3.0 to 8.3). An excess risk of DLBCL was also related to polymorphisms in the CYP1A2, PON1, NAT1 and NAT2genes. CLL risk was reduced in relation to CYP1A2 polymorphisms, increased in relation to GSTM1 deletion, and strongly associated with NAT1, and NAT2 mutant haplotypes. Conclusions Caution is recommended in interpreting the high risks in our study, due its small size. However, our results suggest that polymorphisms in genes encoding for the metabolic enzymes might affect risk of specific lymphoma subtypes associated with exposure to workplace carcinogens.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd</pub><doi>10.1136/oemed-2011-100382.112</doi><oa>free_for_read</oa></addata></record> |
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subjects | Carcinogens Genotype-environment interactions Haplotypes Leukemia Lymphoma Occupational exposure |
title | Risk of specific lymphoma subtypes is associated to polymorphism in genes implicated in the metabolism of workplace carcinogens |
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