Meng L, Maskarinec G, Wilkens L
Prevention and Control Program, Cancer Research Center of Hawaii, University of Hawaii, Honolulu 96813, USA.
Int J Epidemiol. 1997 Dec;26(6):1151-8. doi: 10.1093/ije/26.6.1151.
Previous studies have described differences in breast cancer survival among women from various ethnic backgrounds even after adjustment for stage at diagnosis. The aim of this study is to identify factors that could explain this disparity in prognosis and to update breast cancer survival patterns in Hawaii.
The Hawaii Tumor Registry identified 3345 breast cancer cases diagnosed between 1980 and 1988. The following covariates were studied: ethnicity, stage at diagnosis, geographical residence, and menopausal, marital and socioeconomic statuses. The Kaplan-Meier method and proportional hazards regression were used to estimate survival by group.
Native Hawaiian and Filipino women had a higher risk of dying within 5 years than women of other ethnic groups. Japanese had the highest survival probability, followed by Chinese and Caucasians. Stage was the most important prognostic factor. Married women had better survival than widowed and divorced women. Filipinos had a much greater chance of dying from localized cancer than other women with localized disease. Geographical residence, menopausal and socioeconomic statuses were not associated with survival.
Despite an overall improvement in breast cancer survival, ethnic disparity in prognosis still exists. Other possible explanations for the differential prognosis, such as treatment, diet, genetics, obesity, oestrogen receptor and hormonal statuses need to be explored in future studies.
以往研究表明,即便对诊断时的分期进行调整,不同种族背景女性的乳腺癌生存率仍存在差异。本研究旨在确定能够解释这种预后差异的因素,并更新夏威夷乳腺癌的生存模式。
夏威夷肿瘤登记处识别出1980年至1988年间确诊的3345例乳腺癌病例。对以下协变量进行了研究:种族、诊断时的分期、地理居住情况以及绝经、婚姻和社会经济状况。采用Kaplan-Meier方法和比例风险回归分析按组估计生存率。
夏威夷原住民和菲律宾裔女性在5年内死亡的风险高于其他种族的女性。日本裔女性的生存概率最高,其次是华裔和白种人。分期是最重要的预后因素。已婚女性的生存率高于丧偶和离异女性。与患有局限性疾病的其他女性相比,菲律宾裔女性死于局限性癌症的可能性要大得多。地理居住情况、绝经和社会经济状况与生存率无关。
尽管乳腺癌生存率总体有所提高,但预后的种族差异仍然存在。未来的研究需要探索其他可能导致预后差异的因素,如治疗、饮食、遗传、肥胖、雌激素受体和激素状态等。