Details

Autor(en) / Beteiligte

• Lee, Derrick G.
• Schuetz, Johanna M.
• Lai, Agnes S.
• Burstyn, Igor
• Brooks-Wilson, Angela
• Aronson, Kristan J.
• Spinelli, John J.

Titel

Interactions between exposure to polycyclic aromatic hydrocarbons and xenobiotic metabolism genes, and risk of breast cancer

Ist Teil von

• Breast cancer (Tokyo, Japan), 2022-01, Vol.29 (1), p.38-49

Ort / Verlag

Singapore: Springer Singapore

Erscheinungsjahr

2022

Quelle

springer (창간호~2014)

Beschreibungen/Notizen

• Purpose Polycyclic aromatic hydrocarbons (PAHs) are a group of environmental pollutants associated with multiple cancers, including female breast cancer. Several xenobiotic metabolism genes (XMGs), including the CYP450 family, play an important role in activating and detoxifying PAHs, and variations in the activity of the enzymes they encode can impact this process. This study aims to examine the association between XMGs and breast cancer, and to assess whether these variants modify the effects of PAH exposure on breast cancer risk. Methods In a case–control study in Vancouver, British Columbia, and Kingston, Ontario, 1037 breast cancer cases and 1046 controls had DNA extracted from blood or saliva and genotyped for 138 single nucleotide polymorphisms (SNPs) and tagSNPs in 27 candidate XMGs. Occupational PAH exposure was assessed using a measurement-based job-exposure matrix. Results An association between genetic variants and breast cancer was observed among six XMGs, including increased risk among the minor allele carriers of AKR1C3 variant rs12387 (OR 2.71, 95% CI 1.42–5.19) and AKR1C4 variant rs381267 (OR 2.50, 95% CI 1.23–5.07). Heterogeneous effects of occupational PAH exposure were observed among carriers of AKR1C 3/4 variants, as well as the PTGS2 variant rs5275. Conclusion Our findings support an association between SNPs of XMGs and female breast cancer, including novel genetic variants that modify the toxicity of PAH exposure. These results highlight the interplay between genetic and environmental factors, which can be helpful in understanding the modifiable risks of breast cancer and its complex etiology.