Department of Internal Medicine, Fairview Hospital, Cleveland Clinic Hospital, Cleveland Clinic Health System, Cleveland, OH.
Am J Clin Oncol. 2015 Feb;38(1):103-7. doi: 10.1097/COC.0b013e31828d95d8.
Lung cancer is the leading cause of cancer-related death in both developed and developing countries with unacceptably high mortality even for early-stage cancers. Present guidelines do not recommend adjuvant chemotherapy for stage I non-small cell lung carcinoma and prompts a search for a prognostic marker that would separate stage I patients into 2 groups, those who would benefit and those who would not benefit from adjuvant treatment. Studies during the last decade showed that the gene expression profiling can be the biomarker being sought. Many gene expression profiling have been found and reported from the analysis of surgical specimens of resected lung cancers during the last decade, and many of them had been shown to have an excellent predictive accuracy. These profiles used in the studies had not only different gene combinations but also different number of genes and methods of identification. Researchers have used microarray assays, RT-quantitative polymerase chain reaction, and more recently microRNA-based techniques to achieve this goal. Unfortunately, most of the profiles were not sufficiently validated and/or were not used in prospective phase III studies. This review focuses on major studies in the field, future prospects, as well as the lessons learned so far. It is shown that the gene expression profiles have a good chance of being implemented in future everyday practice.
肺癌是发达国家和发展中国家癌症相关死亡的主要原因,即使是早期癌症,死亡率也高得令人无法接受。目前的指南不建议对 I 期非小细胞肺癌进行辅助化疗,因此需要寻找一种预后标志物,将 I 期患者分为两组,一组患者从辅助治疗中获益,另一组则不能获益。过去十年的研究表明,基因表达谱分析可能是正在寻找的生物标志物。过去十年对切除的肺癌手术标本进行分析发现了许多基因表达谱,并报告了许多基因表达谱,其中许多都显示出了极好的预测准确性。这些在研究中使用的基因表达谱不仅包含不同的基因组合,而且还包含不同数量的基因和识别方法。研究人员已经使用微阵列分析、实时定量聚合酶链反应,以及最近的 microRNA 技术来实现这一目标。不幸的是,大多数基因表达谱没有得到充分验证,也没有用于前瞻性 III 期研究。这篇综述重点介绍了该领域的主要研究、未来展望以及迄今为止的经验教训。研究表明,基因表达谱很有可能在未来的日常实践中得到应用。