Mok Samuel C, Elias Kevin M, Wong Kwong-Kwok, Ho Kae, Bonome Tomas, Birrer Michael J
Department of Obstetrics, Gynecology, and Reproductive Biology, Division of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.
Adv Cancer Res. 2007;96:1-22. doi: 10.1016/S0065-230X(06)96001-1.
Ovarian cancer is the fifth most common form of cancer in women in the United States. It is a complex disease composed of different histological grades and histological types. Most of epithelial ovarian cancer cases are detected at an advanced stage. Patients usually respond to primary treatment with surgery and chemotherapy. However, the disease usually recurs and is ultimately fatal. So far, a satisfactory screening procedure and regime to treat the recurrence disease are not available. High-throughput genomic analyses have the potential to change the detection and the treatment of ovarian neoplasms. They can help diagnose subtypes of disease and predict patient survival. New diagnostic and prognostic markers for ovarian cancer are emerging. One day, profiling may influence treatment decisions, informing both which patients should receive chemotherapy and what type of chemotherapeutic agents should be employed. As greater numbers of tumor samples are analyzed, the power of these profiling studies will increase, raising the possibility that novel molecular targets and less toxic therapies will be identified. These powerful techniques hold the potential to unravel the genetic origins of ovarian cancer. Hopefully, this will translate into earlier diagnosis and better patient outcome from disease.
卵巢癌是美国女性中第五大常见癌症。它是一种由不同组织学分级和组织学类型组成的复杂疾病。大多数上皮性卵巢癌病例在晚期被发现。患者通常对手术和化疗的初始治疗有反应。然而,这种疾病通常会复发并最终致命。到目前为止,尚无令人满意的筛查程序和治疗复发性疾病的方案。高通量基因组分析有可能改变卵巢肿瘤的检测和治疗。它们有助于诊断疾病亚型并预测患者生存率。卵巢癌的新诊断和预后标志物正在出现。有一天,基因图谱分析可能会影响治疗决策,告知哪些患者应接受化疗以及应使用何种类型的化疗药物。随着更多肿瘤样本被分析,这些图谱分析研究的效力将增强,增加识别新分子靶点和毒性较小疗法的可能性。这些强大的技术有潜力揭示卵巢癌的遗传起源。有望这将转化为更早的诊断和更好的患者疾病预后。