Abstract

Tamoxifen (TAM) is the most commonly used adjuvant endocrine drug for hormone receptor-positive (HR+) breast cancer patients. However, how to accurately evaluate the risk of breast cancer recurrence and metastasis after adjuvant TAM therapy is still a major concern. In recent years, many studies have shown that the clinical outcomes of TAM-treated breast cancer patients are influenced by the activity of some cytochrome P450 (CYP) enzymes that catalyze the formation of active TAM metabolites like endoxifen and 4-hydroxytamoxifen. In this study, we aimed to first develop and validate an algorithm combining polymorphisms in CYP genes and clinicopathological signatures to identify a subpopulation of breast cancer patients who might benefit most from TAM adjuvant therapy and meanwhile evaluate major risk factors related to TAM resistance. Specifically, a total of 256 patients with invasive breast cancer who received adjuvant endocrine therapy were selected. The genotypes at 10 loci from three TAM metabolism-related CYP genes were detected by time-of-flight mass spectrometry and multiplex long PCR. Combining the 10 loci with nine clinicopathological characteristics, we obtained 19 important features whose association with cancer recurrence was assessed by importance score via random forests. After that, a logistic regression model was trained to calculate TAM risk-of-recurrence score (TAM RORs), which is adopted to assess a patient’s risk of recurrence after TAM treatment. The sensitivity and specificity of the model in an independent test cohort were 86.67% and 64.56%, respectively. This study showed that breast cancer patients with high TAM RORs were less sensitive to TAM treatment and manifested more invasive characteristics, whereas those with low TAM RORs were highly sensitive to TAM treatment, and their conditions were stable during the follow-up period. There were some risk factors that had a significant effect on the efficacy of TAM. They were tissue classification (tumor Grade < 2 vs. Grade ≥ 2, p = 2.2e−16), the number of lymph node metastases (Node-Negative vs. Node < 4, p = 5.3e−07; Node < 4 vs. Node ≥ 4, p = 0.003; Node-Negative vs. Node ≥ 4, p = 7.2e−15), and the expression levels of estrogen receptor (ER) and progesterone receptor (PR) (ER < 50% vs. ER ≥ 50%, p = 1.3e−12; PR < 50% vs. PR ≥ 50%, p = 2.6e−08). The really remarkable thing is that different genotypes of CYP2D6*10(C188T) show significant differences in prediction function (CYP2D6*10 CC vs. TT, p < 0.019; CYP2D6*10 CT vs. TT, p < 0.037). There are more than 50% Chinese who have CYP2D6*10 mutation. So the genotype of CYP2D6*10(C188T) should be tested before TAM therapy.

Highlights

  • Hormone receptor-positive (HR+) breast cancer accounts for 75% of all breast cancer patients and is the most common molecular subtype of this disease [1, 2]

  • This study showed that breast cancer patients with high TAM RORs were less sensitive to TAM treatment and manifested more invasive characteristics, whereas those with low TAM RORs were highly sensitive to TAM treatment, and their conditions were stable during the follow-up period

  • Algorithm Build TAM RORs model Input: Training dataset Output: Trained model and performance of the model 1 for each one hyper-parameter set in hyper-parameters grid do 2 for 5-fold cross validation process do 3 select features in Random forest by the hyper-parameter set; 4 train logistic regression model; 5 compute area under the curve (AUC) from ROC curve for one subset of cross validation 6 Add the new result to the result of this validation process 7 sort the performance of hyper-parameter set and store optimal set; 8 select the optimal hyper-parameter data set to be the hyper-parameter of model; 9 train the model with whole training data set; 10 final; 11 return model and AUC value of ROC curve; TAM RORs, tamoxifen risk-of-recurrence score

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Summary

Introduction

Hormone receptor-positive (HR+) breast cancer accounts for 75% of all breast cancer patients and is the most common molecular subtype of this disease [1, 2]. The study suggested that oral TAM for 5 years in HR+ breast cancer patients can reduce the risk of recurrence of early breast cancer by 47% and the risk of death by 26%, with a survival rate improvement of at least 10 years. In 2011, EBCTCG updated the results, further confirming the efficacy of 5-year TAM treatment after surgery, and a continuing effect until 15 years after surgery. These results established the foundation for oral 5-year TAM as a standard protocol for adjuvant endocrine therapy for breast cancer patients [8]. In 2017, EBCTCG studied 88 clinical trials with follow-up over 5 to 20 years, which assessed the risk of breast cancer recurrence in 62,923 patients with at least 5-year TAM treatment. It is necessary to prolong the time of endocrine therapy or strengthen endocrine therapy for patients with high risk of recurrence [9]

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