Seymour Grufferman1, Philip J Lupo2, Rachel Isaksson Vogel3, Heather E Danysh4, Erik B Erhardt5, Simona Ognjanovic6. 1. Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, NM. 2. Department of Pediatrics, Section of Hematology-Oncology, Texas Children's Cancer Center, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX. Electronic address: Philip.Lupo@bcm.edu. 3. Masonic Cancer Center, University of Minnesota, Minneapolis, MN. 4. Department of Pediatrics, Section of Hematology-Oncology, Texas Children's Cancer Center, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX. 5. Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM. 6. Mayo Graduate School, Mayo Clinic, Rochester, MN.
Abstract
OBJECTIVE: To evaluate the role of parental military service-related exposures and rhabdomyosarcoma (RMS) risk in offspring using data from a large case-control study of childhood RMS. STUDY DESIGN: Cases (n = 319) were enrolled from the third trial run by the Intergroup Rhabdomyosarcoma Study Group. Population-based controls (n = 319) were pair-matched to cases on race, sex, and age. Conditional logistic regression was used to evaluate parental military service-related exposures and their associations with childhood RMS by generating aORs and 95% CIs. Statistical significance was defined as P < .05. RESULTS: There were no significant associations between parental military service and childhood RMS. The strongest association was with maternal military service; however, this association was attenuated and did not remain significant after adjusting for covariates (aOR = 2.75, 95% CI 0.71, 10.62). An elevated effect estimate was found when assessing paternal exposure to Agent Orange (AO) and childhood RMS but was not statistically significant (aOR = 1.72, 95% CI 0.55, 5.41). CONCLUSIONS: We found little evidence that parental military service of AO exposure influences the risk of RMS in offspring. These findings are notable in light of the continuing controversies surrounding the intergenerational effects of AO exposure.
OBJECTIVE: To evaluate the role of parental military service-related exposures and rhabdomyosarcoma (RMS) risk in offspring using data from a large case-control study of childhood RMS. STUDY DESIGN: Cases (n = 319) were enrolled from the third trial run by the Intergroup Rhabdomyosarcoma Study Group. Population-based controls (n = 319) were pair-matched to cases on race, sex, and age. Conditional logistic regression was used to evaluate parental military service-related exposures and their associations with childhood RMS by generating aORs and 95% CIs. Statistical significance was defined as P < .05. RESULTS: There were no significant associations between parental military service and childhood RMS. The strongest association was with maternal military service; however, this association was attenuated and did not remain significant after adjusting for covariates (aOR = 2.75, 95% CI 0.71, 10.62). An elevated effect estimate was found when assessing paternal exposure to Agent Orange (AO) and childhood RMS but was not statistically significant (aOR = 1.72, 95% CI 0.55, 5.41). CONCLUSIONS: We found little evidence that parental military service of AO exposure influences the risk of RMS in offspring. These findings are notable in light of the continuing controversies surrounding the intergenerational effects of AO exposure.
Authors: Greta R Bunin; Logan G Spector; Andrew F Olshan; Leslie L Robison; Michelle Roesler; Seymour Grufferman; Xiao-ou Shu; Julie A Ross Journal: Am J Epidemiol Date: 2007-04-23 Impact factor: 4.897
Authors: Philip J Lupo; Renke Zhou; Stephen X Skapek; Douglas S Hawkins; Logan G Spector; Michael E Scheurer; M Fatih Okcu; Beatrice Melin; Karin Papworth; Erik B Erhardt; Seymour Grufferman Journal: Int J Cancer Date: 2013-08-01 Impact factor: 7.396
Authors: S Ognjanovic; S E Carozza; E J Chow; E E Fox; S Horel; C C McLaughlin; B A Mueller; S Puumala; P Reynolds; J Von Behren; L Spector Journal: Br J Cancer Date: 2009-12-08 Impact factor: 7.640
Authors: Pauline Duke; Marshall Godwin; Mandy Peach; Jacqueline Fortier; Stephen Bornstein; Sharon Buehler; Farah McCrate; Andrea Pike; Peizhong Peter Wang; Richard M Cullen Journal: J Environ Public Health Date: 2015-11-08