Ho Yvonne, Harris Alexander, Wesolowski Michael, Refaat Tamer, Small William, Thomas Tarita O
Radiation Oncology, Loyola University Chicago Stritch School of Medicine, Maywood, USA.
Biostatistics, Loyola University Chicago Stritch School of Medicine, Maywood, USA.
Cureus. 2021 Jul 2;13(7):e16127. doi: 10.7759/cureus.16127. eCollection 2021 Jul.
We evaluated how race, insurance status, and other sociodemographic, tumor, and treatment variables influenced the response to neoadjuvant chemotherapy (NAC) in breast cancer. We performed an IRB-approved retrospective review of 298 breast cancer patients treated with NAC from 2006-2018 at our institution. Univariable and multivariable binary logistic regression analyses were performed to estimate the effects of race, insurance status, and other variables on outcomes. Outcomes of interest included pathologic complete response (pCR), partial response (pPR), and any response (pCR or pPR). Sixty-nine patients (23%) identified as African American. One hundred sixty-eight (57%) patients had private insurance, 71 (24%) had Medicare, 40 (14%) had Medicaid, and 17 (6%) had no insurance. Insurance status was a predictor for any clinical response to NAC in both univariable and multivariable analyses (<0.01), where odds of pCR or pPR were lower for patients with Medicare compared to private insurance (OR 0.32, 95% CI: 0.15-0.70, <0.01). Other variables significant for the response to NAC included body mass index, hormone receptor status, clinical group stage, and Ki-67. Race did not influence the response to NAC. Insurance provider, body mass index, hormone receptor status, clinical group stage, and Ki-67 may be useful predictors of treatment outcomes. Future studies that assess the impacts of insurance status and other identified factors on treatment response may help evaluate outcomes in at-risk populations with factors that preclude full benefit from NAC.
我们评估了种族、保险状况以及其他社会人口统计学、肿瘤和治疗变量如何影响乳腺癌新辅助化疗(NAC)的疗效。我们对2006年至2018年在我院接受NAC治疗的298例乳腺癌患者进行了一项经机构审查委员会批准的回顾性研究。进行单变量和多变量二元逻辑回归分析,以评估种族、保险状况和其他变量对治疗结果的影响。感兴趣的结果包括病理完全缓解(pCR)、部分缓解(pPR)和任何缓解(pCR或pPR)。69例(23%)患者为非裔美国人。168例(57%)患者拥有私人保险,71例(24%)拥有医疗保险,40例(14%)拥有医疗补助,17例(6%)没有保险。在单变量和多变量分析中,保险状况都是NAC临床缓解的预测因素(<0.01),与私人保险患者相比,医疗保险患者达到pCR或pPR的几率更低(OR 0.32,95%CI:0.15-0.70,<0.01)。对NAC疗效有显著影响的其他变量包括体重指数、激素受体状态、临床分组分期和Ki-67。种族不影响NAC的疗效。保险类型、体重指数、激素受体状态、临床分组分期和Ki-67可能是治疗结果的有用预测因素。未来评估保险状况和其他已确定因素对治疗反应影响的研究,可能有助于评估因某些因素无法从NAC中充分获益的高危人群的治疗结果。