Galati Francesca, Magri Valentina, Moffa Giuliana, Rizzo Veronica, Botticelli Andrea, Cortesi Enrico, Pediconi Federica
Department of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.
Diagnostics (Basel). 2022 Nov 8;12(11):2730. doi: 10.3390/diagnostics12112730.
The aim of this study was to combine breast MRI-derived biomarkers with clinical-pathological parameters to identify patients who truly need an Oncotype DX Breast Recurrence Score® (ODXRS) genomic assay, currently used to predict the benefit of adjuvant chemotherapy in ER-positive/HER2-negative early breast cancer, with the ultimate goal of customizing therapeutic decisions while reducing healthcare costs. Patients who underwent a preoperative multiparametric MRI of the breast and ODXRS tumor profiling were retrospectively included in this study. Imaging sets were evaluated independently by two breast radiologists and classified according to the 2013 American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) lexicon. In a second step of the study, a combined oncologic and radiologic assessment based on clinical-pathological and radiological data was performed, in order to identify patients who may need adjuvant chemotherapy. Results were correlated with risk levels expressed by ODXRS, using the decision made on the basis of the ODXRS test as a gold standard. The χ2 test was used to evaluate associations between categorical variables, and significant ones were further investigated using logistic regression analyses. A total of 58 luminal-like, early-stage breast cancers were included. A positive correlation was found between ODXRS and tumor size (p = 0.003), staging (p = 0.001) and grading (p = 0.005), and between BI-RADS categories and ODXRS (p < 0.05 for both readers), the latter being confirmed at multivariate regression analysis. Moreover, BI-RADS categories proved to be positive predictors of the therapeutic decision taken after performing an ODXRS assay. A statistically significant association was also found between the therapeutic decision based on the ODXRS and the results of combined onco-radiologic assessment (p < 0.001). Our study suggests that there is a correlation between BI-RADS categories at MRI and ODXRS and that a combined onco-radiological assessment may predict the decision made on the basis of the results of ODXRS genomic test.
本研究的目的是将乳腺MRI衍生的生物标志物与临床病理参数相结合,以识别真正需要Oncotype DX乳腺复发评分(ODXRS)基因组检测的患者,该检测目前用于预测雌激素受体阳性/人表皮生长因子受体2阴性早期乳腺癌辅助化疗的获益,最终目标是在降低医疗成本的同时定制治疗决策。本研究回顾性纳入了接受术前乳腺多参数MRI和ODXRS肿瘤分析的患者。影像数据集由两名乳腺放射科医生独立评估,并根据2013年美国放射学会乳腺影像报告和数据系统(ACR BI-RADS)词典进行分类。在研究的第二步中,基于临床病理和放射学数据进行了肿瘤学和放射学联合评估,以识别可能需要辅助化疗的患者。将结果与ODXRS表达的风险水平进行关联,以基于ODXRS检测做出的决策作为金标准。采用χ2检验评估分类变量之间的关联,并使用逻辑回归分析进一步研究显著关联。共纳入58例管腔样早期乳腺癌。发现ODXRS与肿瘤大小(p = 0.003)、分期(p = 0.001)和分级(p = 0.005)之间存在正相关,BI-RADS分类与ODXRS之间也存在正相关(两位读者的p均<0.05),后者在多变量回归分析中得到证实。此外,BI-RADS分类被证明是进行ODXRS检测后治疗决策的阳性预测指标。基于ODXRS的治疗决策与肿瘤学和放射学联合评估结果之间也发现了具有统计学意义的关联(p < 0.001)。我们的研究表明,MRI的BI-RADS分类与ODXRS之间存在相关性,肿瘤学和放射学联合评估可能预测基于ODXRS基因组检测结果做出的决策。