OBJECTIVE: As previous results were inconsistent, we assessed the association between maternal use of antibiotics during pregnancy or 3 months before conception and childhood cancer in the offspring in a large case-control study in Germany. METHODS: This population-based study on potential risk factors for childhood cancer was conducted by the German Childhood Cancer Registry (GCCR) and included a total of 1,867 registered cancer cases aged 0-14, diagnosed between October 1992 and September 1994. A total of 2,057 controls were randomly drawn from population registries, matched by age, gender, and region. Conditional logistic regression models for frequency-matched datasets were used to estimate odds ratios (OR) with 95% confidence intervals (95% CI). RESULTS: Positive statistically significant associations with self-reported maternal antibiotic use were observed for acute lymphoid leukemia (based on 59 mothers exposed to antibiotics, OR = 1.47; 95% CI: 1.06-2.04), acute myeloid leukemia (18 exposed, OR = 3.21; 95% CI: 1.83-5.62), and Burkitt lymphoma (three exposed, OR = 5.89; 95% CI: 1.47-23.69), but not other cancer types. CONCLUSIONS: The results provide some support for the hypothesis that maternal use of antibiotics increases the risk of cancer in the offspring. Although recall bias is a concern, it is unlikely that this fully explains the observed effect. Further, the observed associations might be related to the underlying infections.
OBJECTIVE: As previous results were inconsistent, we assessed the association between maternal use of antibiotics during pregnancy or 3 months before conception and childhood cancer in the offspring in a large case-control study in Germany. METHODS: This population-based study on potential risk factors for childhood cancer was conducted by the German Childhood Cancer Registry (GCCR) and included a total of 1,867 registered cancer cases aged 0-14, diagnosed between October 1992 and September 1994. A total of 2,057 controls were randomly drawn from population registries, matched by age, gender, and region. Conditional logistic regression models for frequency-matched datasets were used to estimate odds ratios (OR) with 95% confidence intervals (95% CI). RESULTS: Positive statistically significant associations with self-reported maternal antibiotic use were observed for acute lymphoid leukemia (based on 59 mothers exposed to antibiotics, OR = 1.47; 95% CI: 1.06-2.04), acute myeloid leukemia (18 exposed, OR = 3.21; 95% CI: 1.83-5.62), and Burkitt lymphoma (three exposed, OR = 5.89; 95% CI: 1.47-23.69), but not other cancer types. CONCLUSIONS: The results provide some support for the hypothesis that maternal use of antibiotics increases the risk of cancer in the offspring. Although recall bias is a concern, it is unlikely that this fully explains the observed effect. Further, the observed associations might be related to the underlying infections.
Authors: Kimberly J Johnson; Jennifer Cullen; Jill S Barnholtz-Sloan; Quinn T Ostrom; Chelsea E Langer; Michelle C Turner; Roberta McKean-Cowdin; James L Fisher; Philip J Lupo; Sonia Partap; Judith A Schwartzbaum; Michael E Scheurer Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-09-05 Impact factor: 4.254
Authors: Sarah Hjorth; Anton Pottegård; Anne Broe; Caroline H Hemmingsen; Maarit K Leinonen; Marie Hargreave; Ulrika Nörby; Hedvig Nordeng Journal: Int J Epidemiol Date: 2022-06-13 Impact factor: 9.685
Authors: Catherine Metayer; Elizabeth Milne; Jacqueline Clavel; Claire Infante-Rivard; Eleni Petridou; Malcolm Taylor; Joachim Schüz; Logan G Spector; John D Dockerty; Corrado Magnani; Maria S Pombo-de-Oliveira; Daniel Sinnett; Michael Murphy; Eve Roman; Patricia Monge; Sameera Ezzat; Beth A Mueller; Michael E Scheurer; Bruce K Armstrong; Jill Birch; Peter Kaatsch; Sergio Koifman; Tracy Lightfoot; Parveen Bhatti; Melissa L Bondy; Jérémie Rudant; Kate O'Neill; Lucia Miligi; Nick Dessypris; Alice Y Kang; Patricia A Buffler Journal: Cancer Epidemiol Date: 2013-02-09 Impact factor: 2.984
Authors: A C Vidal; S K Murphy; A P Murtha; J M Schildkraut; A Soubry; Z Huang; S E B Neelon; B Fuemmeler; E Iversen; F Wang; J Kurtzberg; R L Jirtle; C Hoyo Journal: Int J Obes (Lond) Date: 2013-03-28 Impact factor: 5.095