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. 2023 Dec 15;29(24):5217-5226.
doi: 10.1158/1078-0432.CCR-23-1568.

SNP of Aromatase Predict Long-term Survival and Aromatase Inhibitor Toxicity in Patients with Early Breast Cancer: A Biomarker Analysis of the GIM4 and GIM5 Trials

Affiliations

SNP of Aromatase Predict Long-term Survival and Aromatase Inhibitor Toxicity in Patients with Early Breast Cancer: A Biomarker Analysis of the GIM4 and GIM5 Trials

Benedetta Conte et al. Clin Cancer Res. .

Abstract

Purpose: In estrogen receptor-positive (ER+) breast cancer, single-nucleotide polymorphisms (SNP) in the aromatase gene might affect aromatase inhibitors (AI) metabolism and efficacy. Here, we assessed the impact of SNP on prognosis and toxicity of patients receiving adjuvant letrozole.

Experimental design: We enrolled 886 postmenopausal patients in the study. They were treated with letrozole for 2 to 5 years after taking tamoxifen for 2 to 6 years, continuing until they completed 5 to 10 years of therapy. Germline DNA was genotyped for SNP rs4646, rs10046, rs749292, and rs727479. Log-rank test and Cox model were used for disease-free survival (DFS) and overall survival (OS). Cumulative incidence (CI) of breast cancer metastasis was assessed through competing risk analysis, with contralateral breast cancer, second malignancies and non-breast cancer death as competing events. CI of skeletal and cardiovascular events were assessed using DFS events as competing events. Subdistribution HR (sHR) with 95% confidence intervals were calculated through Fine-Gray method.

Results: No SNP was associated with DFS. Variants rs10046 [sHR 2.03, (1.04-2.94)], rs749292 [sHR 2.11, (1.12-3.94)], and rs727479 [sHR 2.62, (1.17-5.83)] were associated with breast cancer metastasis. Three groups were identified on the basis of the number of these variants (0, 1, >1). Variant-based groups were associated with breast cancer metastasis (10-year CI 2.5%, 7.6%, 10.7%, P = 0.035) and OS (10-year estimates 96.5%, 93.0%, 89.6%, P = 0.030). Co-occurrence of rs10046 and rs749292 was negatively associated with 10-year CI of skeletal events (3.2% vs. 10%, P = 0.033). A similar association emerged between rs727479 and cardiovascular events (0.3% vs. 2.1%, P = 0.026).

Conclusions: SNP of aromatase gene predict risk of metastasis and AI-related toxicity in ER+ early breast cancer, opening an opportunity for better treatment individualization.

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Figures

Figure 1. Association of SNP of aromatase with survival outcomes. A, Cumulative incidence of breast cancer metastasis or breast cancer–related death and competing events across SNP-based groups; B, Kaplan–Meier curves for OS according to SNP-based groups. In A, solid lines represent incidence of the events of interest, and dashed lines represent the incidence of competing event from the cumulative incidence function.
Figure 1.
Association of SNP of aromatase with survival outcomes. A, Cumulative incidence of breast cancer metastasis or breast cancer–related death and competing events across SNP-based groups; B, Kaplan–Meier curves for OS according to SNP-based groups. In A, solid lines represent incidence of the events of interest, and dashed lines represent the incidence of competing event from the cumulative incidence function.
Figure 2. Association of SNP of aromatase with letrozole-related toxicities. A, Cumulative incidence of skeletal events and competing events according to SNP rs10046 and rs749292 combined genotypes. B, Cumulative incidence of cardiovascular events and competing events according to SNP rs727479. Solid lines represent the incidence of the events of interest, and dashed lines represent the incidence of competing events from the cumulative incidence function.
Figure 2.
Association of SNP of aromatase with letrozole-related toxicities. A, Cumulative incidence of skeletal events and competing events according to SNP rs10046 and rs749292 combined genotypes. B, Cumulative incidence of cardiovascular events and competing events according to SNP rs727479. Solid lines represent the incidence of the events of interest, and dashed lines represent the incidence of competing events from the cumulative incidence function.

References

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