Interplay between AIB1 genotypes and radiotherapy in a Swedish population-based breast cancer cohort
Abstract
PURPOSE: Host factors, including genetic factors, are underutilized in breast cancer treatment selection. This study aimed to investigate AIB1 genotypes as pharmacogenetic markers for adjuvant breast cancer treatment. The prognostic impact of three functional polymorphisms associated with altered mRNA expression rs6094752 (low expression), rs2230782 (low expression) and rs2076546 (high expression) was studied in different treatment groups. METHODS: AIB1 genotyping was performed using iPLEX™ on 576 breast cancer patients included 2002 − 2008 in Lund, Sweden, who were followed for up to 15 years. Clinicopathological data was obtained from questionnaires and patient charts. Diplotypes were constructed. Survival analyses were conducted with Kaplan-Meier curves, Log-Rank tests and multivariable Cox regression. RESULTS: The most common AIB1 diplotypes were CGA_CGA (61.4%), CGA_CCA (16.4%), and CGA_CGG (12.0%). The remaining diplotypes were classified as ‘Rare’. Any breast cancer event was reported in 144 patients. There were significant interactions between radiotherapy and CGA_CGA (Pinteraction=0.033) or CGA_CCA (Pinteraction=0.017) on prognosis. In the 226 non-radiotherapy-treated patients, CGA_CGA carriers had the best prognosis, and CGA_CCA carriers the worst prognosis, with two-fold risk of breast cancer events in CGA_CCA compared with CGA_CGA carriers. In the 350 radiotherapy-treated patients, CGA_CGA was not associated with prognosis while CGA_CCA conferred 40% lower event…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 576 participants or records.
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