Amin Saber A, Collin Lindsay J, Kavecansky Juraj, Setoguchi Soko, Satagopan Jaya M, Bandera Elisa V
Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States.
Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, United States.
Front Oncol. 2023 May 12;13:1104630. doi: 10.3389/fonc.2023.1104630. eCollection 2023.
The treatment landscape for ovarian cancer has changed in recent years with the introduction of targeted therapies to treat patients with advanced disease. We investigated patient demographic and clinical factors associated with use of targeted therapies as a part of the first-line treatment for ovarian cancer.
This study included patients diagnosed with stage I-IV ovarian cancer between 2012 and 2019 from the National Cancer Database. Information on demographic and clinical characteristics were collected and described using frequency and percent across receipt of targeted therapy. Logistic regression was used to compute the odds ratios (ORs) and 95% confidence intervals (CI) associating patient demographic and clinical factors with receipt of targeted therapy.
Among 99,286 ovarian cancer patients (mean age 62 years), 4.1% received targeted therapy. The rate of targeted therapy receipt across racial and ethnic groups over the study period was fairly similar; however, non-Hispanic Black women were less likely to receive targeted therapy than their non-Hispanic White counterparts (OR=0.87, 95% CI: 0.76-1.00). Patients who received neoadjuvant chemotherapy were more likely to receive targeted therapy than those who received adjuvant chemotherapy (OR=1.26; 95% CI: 1.15-1.38). Moreover, among patients who received targeted therapy, 28% received neoadjuvant targeted therapy, with non-Hispanic Black women being most likely to receive neoadjuvant targeted therapy (34%) compared with other racial and ethnic groups.
We observed differences in receipt of targeted therapy by factors such as age at diagnosis, stage, and comorbidities present at diagnosis, as well as factors related to healthcare access-including neighborhood education level and health insurance status. Approximately 28% of patients received targeted therapy in the neoadjuvant setting, which could negatively impact treatment outcomes and survival due to the increased risk of complications associated with targeted therapies that may delay or prevent surgery. These results warrant further evaluation in a cohort of patients with more comprehensive treatment information.
近年来,随着靶向治疗药物的引入,晚期卵巢癌患者的治疗格局发生了变化。我们研究了与使用靶向治疗作为卵巢癌一线治疗一部分相关的患者人口统计学和临床因素。
本研究纳入了2012年至2019年期间来自国家癌症数据库的诊断为I-IV期卵巢癌的患者。收集了人口统计学和临床特征信息,并使用接受靶向治疗的频率和百分比进行描述。采用逻辑回归计算患者人口统计学和临床因素与接受靶向治疗之间的比值比(OR)和95%置信区间(CI)。
在99286例卵巢癌患者(平均年龄62岁)中,4.1%接受了靶向治疗。在研究期间,各种族和族裔群体接受靶向治疗的比例相当相似;然而,非西班牙裔黑人女性接受靶向治疗的可能性低于非西班牙裔白人女性(OR = 0.87,95% CI:0.76 - 1.00)。接受新辅助化疗的患者比接受辅助化疗的患者更有可能接受靶向治疗(OR = 1.26;95% CI:1.15 - 1.38)。此外,在接受靶向治疗的患者中,28%接受了新辅助靶向治疗,与其他种族和族裔群体相比,非西班牙裔黑人女性最有可能接受新辅助靶向治疗(34%)。
我们观察到,接受靶向治疗的情况因诊断时的年龄、分期、诊断时存在的合并症以及与医疗保健可及性相关的因素(包括社区教育水平和健康保险状况)而有所不同。约28%的患者在新辅助治疗中接受了靶向治疗,这可能会对治疗结果和生存产生负面影响,因为靶向治疗相关并发症风险增加,可能会延迟或阻止手术。这些结果值得在拥有更全面治疗信息的患者队列中进行进一步评估。