Program in Women's Oncology, Department of Obstetrics and Gynecology, Women and Infants' Hospital, Alpert Medical School, Brown University, Providence, RI, USA.
Gynecol Oncol. 2010 Feb;116(2):240-5. doi: 10.1016/j.ygyno.2009.09.041. Epub 2009 Oct 31.
Each year in the United States over 15,000 women die of epithelial ovarian cancer (EOC) and 22,000 are diagnosed with the disease. The incidence of ovarian cancer has remained stable over the past decade however, survival rates have improved steadily. Increases in survival rates can be attributed to the advances in surgical management, development of effective cytotoxic drugs and the route of administration of chemotherapy. Ovarian cancer survival rates could also be improved through screening and early detection. Disappointingly, effective screening methods have not been established and continue to be elusive. Historically the goal of a screening test was to achieve a positive predictive value (PPV) greater than 10% in order be considered cost effective and have an acceptable risk for the population being screened. Despite the inability of currently available screening algorithms to achieve the desired PPV there may be an advantage in producing a stage migration to lower stages at the time of diagnoses, thereby resulting in improved survival. Equally important recent studies have demonstrated that women who have their initial surgery performed by gynecologic oncologists, and women who have their surgeries at centers experienced in the treatment of ovarian cancer have higher survival rates. For these reasons it is essential that all women at high risk for ovarian cancer receive their initial care by gynecologic oncologists and at centers with multidisciplinary teams experienced in the optimal care of ovarian cancer patients. With this in mind, methods that facilitate the accurate triage of women who will ultimately be diagnosed with ovarian cancer could play a significant role in improving survival rates for these patients. This review article will examine the current state of biomarker use in ovarian cancer screening, risk assessment and for monitoring ovarian cancer patients.
每年,美国有超过 15000 名女性死于上皮性卵巢癌(EOC),22000 名女性被诊断患有该病。在过去十年中,卵巢癌的发病率保持稳定,但是,生存率一直在稳步提高。生存率的提高可归因于手术管理的进步、有效细胞毒性药物的开发以及化疗的给药途径。通过筛查和早期发现也可以提高卵巢癌的生存率。令人失望的是,尚未建立有效的筛查方法,并且这些方法仍然难以捉摸。从历史上看,筛查测试的目的是使阳性预测值(PPV)大于 10%,以使其具有成本效益并且对接受筛查的人群具有可接受的风险。尽管目前可用的筛查算法无法达到所需的 PPV,但在诊断时产生向较低分期的分期转移可能会有优势,从而提高生存率。同样重要的是,最近的研究表明,由妇科肿瘤学家进行初始手术的妇女和在治疗卵巢癌方面经验丰富的中心进行手术的妇女的生存率更高。基于这些原因,所有患有卵巢癌高风险的妇女都必须由妇科肿瘤学家进行初始治疗,并在具有多学科团队的中心接受卵巢癌患者最佳治疗。考虑到这一点,有助于对最终将被诊断患有卵巢癌的妇女进行准确分诊的方法可能会在提高这些患者的生存率方面发挥重要作用。本文将检查生物标志物在卵巢癌筛查、风险评估和监测卵巢癌患者中的使用现状。