Molecular Medicine Laboratory, Department of Research, Changhua Christian Hospital, Changhua, Taiwan.
Department of Breast Surgery, 117821The Affiliated Hospital (Group) of Putian University, Putian, Fujian, China.
Cancer Control. 2023 Jan-Dec;30:10732748231160991. doi: 10.1177/10732748231160991.
Using mammographic density as a significant biomarker for predicting prognosis in adjuvant hormone therapy patients is controversial due to the conflicting results of recent studies. This study aimed to evaluate hormone therapy-induced mammographic density reduction and its association with prognosis in Taiwanese patients
In this retrospective study, 1941 patients with breast cancer were screened, and 399 patients with estrogen receptorpositive breast cancer who received adjuvant hormone therapy were enrolled. The mammographic density was measured using a fully automatic estimation procedure based on full-field digital mammography. The prognosis included relapse and metastasis during treatment follow-up. The Kaplan-Meier method and Cox proportional hazards model were used for disease-free survival analysis.
A mammographic density reduction rate >20.8%, measured preoperatively and after receiving hormone therapy from 12-18 months, was a significant threshold for predicting prognosis in patients with breast cancer. The disease-free survival rate was significantly higher in patients whose mammographic density reduction rate was >20.8% (P = .048).
This study's findings could help estimate the prognosis for patients with breast cancer and may improve the quality of adjuvant hormone therapy after enlarging the study cohort in the future.
由于最近研究结果存在冲突,使用乳腺密度作为预测辅助激素治疗患者预后的重要生物标志物存在争议。本研究旨在评估激素治疗引起的乳腺密度降低及其与台湾患者预后的关系。
在这项回顾性研究中,筛选了 1941 名乳腺癌患者,并纳入了 399 名接受辅助激素治疗的雌激素受体阳性乳腺癌患者。使用基于全数字化乳腺摄影的全自动估计程序测量乳腺密度。预后包括治疗随访期间的复发和转移。采用 Kaplan-Meier 法和 Cox 比例风险模型进行无病生存分析。
术前和接受激素治疗 12-18 个月后乳腺密度降低率>20.8%是预测乳腺癌患者预后的显著阈值。乳腺密度降低率>20.8%的患者无病生存率显著更高(P=.048)。
本研究结果有助于评估乳腺癌患者的预后,并可能在未来扩大研究队列后提高辅助激素治疗的质量。