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首页> 外文期刊>Critical reviews in oncology/hematology >Gene expression profiling and prediction of clinical outcome in ovarian cancer.
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Gene expression profiling and prediction of clinical outcome in ovarian cancer.

机译:卵巢癌的基因表达谱分析和临床结果预测。

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Epithelial ovarian cancer is the most lethal gynaecological cancer. Despite debulking surgery and platinum/taxane-based chemotherapy, the prognosis remains poor with approximately 25% 5-year survival. Current histo-clinical prognostic factors are insufficient to capture the complex cascade of events that drive the heterogeneous clinical behaviour of the disease. There is a crucial need to identify new prognostic subclasses of disease as well as new therapeutic targets. Today, DNA microarrays allow the simultaneous and quantitative analysis of the mRNA expression levels of thousands of genes in a tumour sample. They have been applied to ovarian cancer research for predicting initial surgical resectability, survival and response to first-line chemotherapy. The first results are promising. In this review, we describe recent applications of DNA microarrays in ovarian cancer research and discuss some issues to address in the near future to allow the technology to reach its full potential in clinical practice.
机译:上皮性卵巢癌是最致命的妇科癌症。尽管进行了大规模的手术和基于铂/紫杉烷的化疗,但预后仍然很差,其5年生存率约为25%。当前的组织临床预后因素不足以捕捉导致疾病异质性临床行为的复杂事件。迫切需要确定新的疾病预后亚型以及新的治疗靶标。如今,DNA微阵列允许同时定量分析肿瘤样品中数千种基因的mRNA表达水平。它们已被用于卵巢癌研究,以预测最初的手术可切除性,存活率和对一线化疗的反应。最初的结果很有希望。在这篇综述中,我们描述了DNA芯片在卵巢癌研究中的最新应用,并讨论了一些在不久的将来要解决的问题,以使该技术在临床实践中发挥其全部潜力。

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