Turner Bradley M, Finkelman Brian S, Hicks David G, Numbereye Numbere, Moisini Ioana, Dhakal Ajay, Skinner Kristin, Sanders Mary Ann G, Wang Xi, Shayne Michelle, Schiffhauer Linda, Katerji Hani, Zhang Huina
Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Ave., Rochester, NY 14620, USA.
M. Health Fairview Ridges, Burnsville, MN 55337, USA.
Cancers (Basel). 2023 Jan 31;15(3):903. doi: 10.3390/cancers15030903.
Multigene genomic profiling has become the standard of care in the clinical risk-assessment and risk-stratification of ER, HER2 breast cancer (BC) patients, with Oncotype DX (ODX) emerging as the genomic profile test with the most support from the international community. The current state of the health care economy demands that cost-efficiency and access to testing must be considered when evaluating the clinical utility of multigene profile tests such as ODX. Several studies have suggested that certain lower risk patients can be identified more cost-efficiently than simply reflexing all ER, HER2 BC patients to ODX testing. The Magee equations use standard histopathologic data in a set of multivariable models to estimate the ODX recurrence score. Our group published the first outcome data in 2019 on the Magee equations, using a modification of the Magee equations combined with an algorithmic approach-the Rochester Modified Magee algorithm (RoMMa). There has since been limited published outcome data on the Magee equations. We present additional outcome data, with considerations of the TAILORx risk-stratification recommendations.
355 patients with an ODX recurrence score, and at least five years of follow-up or a BC recurrence were included in the study. All patients received either Tamoxifen or an aromatase inhibitor. None of the patients received adjuvant systemic chemotherapy.
There was no significant difference in the risk of recurrence in similar risk categories (very low risk, low risk, and high risk) between the average Modified Magee score and ODX recurrence score with the chi-square test of independence ( > 0.05) or log-rank test ( > 0.05). Using the RoMMa, we estimate that at least 17% of individuals can safely avoid ODX testing.
Our study further reinforces that BC patients can be confidently stratified into lower and higher-risk recurrence groups using the Magee equations. The RoMMa can be helpful in the initial clinical risk-assessment and risk-stratification of BC patients, providing increased opportunities for cost savings in the health care system, and for clinical risk-assessment and risk-stratification in less-developed geographies where multigene testing might not be available.
多基因基因组分析已成为雌激素受体(ER)、人表皮生长因子受体2(HER2)阳性乳腺癌(BC)患者临床风险评估和风险分层的标准治疗方法,其中Oncotype DX(ODX)作为获得国际社会最多支持的基因组分析检测脱颖而出。当前医疗保健经济状况要求在评估ODX等多基因分析检测的临床效用时,必须考虑成本效益和检测的可及性。多项研究表明,与将所有ER、HER2阳性BC患者直接进行ODX检测相比,某些低风险患者可以通过更具成本效益的方式进行识别。Magee方程在一组多变量模型中使用标准组织病理学数据来估计ODX复发评分。我们团队在2019年发表了关于Magee方程的首批结果数据,采用了对Magee方程的修改并结合算法方法——罗切斯特改良Magee算法(RoMMa)。此后,关于Magee方程的已发表结果数据有限。我们展示了更多结果数据,并考虑了TAILORx风险分层建议。
本研究纳入了355例有ODX复发评分且至少有5年随访或发生BC复发的患者。所有患者均接受他莫昔芬或芳香化酶抑制剂治疗。所有患者均未接受辅助全身化疗。
通过独立性卡方检验(>0.05)或对数秩检验(>0.05),平均改良Magee评分与ODX复发评分在相似风险类别(极低风险、低风险和高风险)中的复发风险无显著差异。使用RoMMa,我们估计至少17%的个体可以安全地避免ODX检测。
我们的研究进一步强化了BC患者可以使用Magee方程可靠地分层为低复发风险组和高复发风险组。RoMMa有助于BC患者的初始临床风险评估和风险分层,为医疗保健系统节省成本提供更多机会,并为多基因检测可能无法开展的欠发达地区进行临床风险评估和风险分层提供帮助。