# SULT and UGT Genetic Variants Modulate Side Effect Profiles in South African Breast Cancer Patients Treated with Tamoxifen

## TL;DR

This study explores how genetic differences affect side effects of tamoxifen treatment in South African breast cancer patients.

## Contribution

The study identifies specific genetic variants linked to side effects of tamoxifen in African populations.

## Key findings

- SULT1A1 copy number variation and SULT1E1 rs3736599 are associated with overall side-effect burden.
- UGT2B7 rs7439366 and CYP3A4 rs2242480 are linked to musculoskeletal complaints.
- SULT1E1 rs3736599 and UGT2B15 rs4148269 are associated with gynecological symptoms.

## Abstract

Background: Tamoxifen remains the cornerstone of endocrine therapy for hormone receptor-positive breast cancer across Africa. Understanding the factors that influence tamoxifen tolerability is critical, as treatment-related side effects can reduce adherence and compromise therapeutic outcomes. Yet, the contribution of pharmacogenetic variation to tamoxifen-related toxicity remains poorly characterized in African populations. This study, therefore, investigated whether genetic variation in key pharmacogenes influences the risk of treatment-related side effects in a South African breast cancer cohort. Methods: A total of 166 women of Mixed and African Ancestry treated with 20 mg/day tamoxifen at Groote Schuur Hospital, South Africa, were included in the study. Genetic variation across 28 variants in nine pharmacogenes, including CYP2D6, CYP3A4/5, UGT1A4, UGT2B7/15, SULT1A1/2, and SULT1E1, was assessed using various genotyping methods. Associations between genetic and non-genetic factors and tamoxifen side effects were evaluated with logistic regression. Results: Over 70% of participants reported at least one treatment-related side effect. Overall side-effect burden was associated with SULT1A1 copy number variation (p = 0.030) and SULT1E1 rs3736599 (p = 0.042). Musculoskeletal complaints were the most common (40%) and were associated with UGT2B7 rs7439366 (p = 0.040) and CYP3A4 rs2242480 (p = 0.051). Gynecological symptoms affected more than 20% of participants and were linked to SULT1A2*2 (p = 0.050), SULT1E1 rs3736599 (p = 0.016), and UGT2B15 rs4148269 (p = 0.039). Hot flashes were frequent, affecting 33% of patients, but showed no clear pharmacogenetic associations. Conclusions: This study demonstrates that pharmacogenetic variation is associated with interindividual differences in treatment-related side effects, underscoring the need to expand research in African populations to better inform precision endocrine therapy.