From the Division of Cancer Medicine, Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX.
Division of Oncology, Department of Internal Medicine, St George Hospital University Medical Center, University of Balamand, Beirut, Lebanon.
Cancer J. 2019 Jul/Aug;25(4):296-299. doi: 10.1097/PPO.0000000000000392.
Widely available molecular profiling technology, including next-generation sequencing has changed the landscape of drug development in cancer. An increasing number of clinical trials in early drug development require patient selection based on molecular alterations. Concurrently, efforts to identify molecular alterations in tumors that exhibited exceptional response after systemic treatment with standard or investigational agents have been published or are in progress. These discoveries may ultimately serve as predictive markers or "actionable mutations" for future therapies. To test the feasibility of collecting the archival tissues from proposed exceptional responder patients and successful subsequent molecular profiling, the National Cancer Institute opened a nationwide exceptional responder initiative protocol in 2014. In addition, an increasing number of exceptional responder cases have been identified and published from academia institutions. The Network of Enigmatic Exceptional Responders study uses crowdsourcing to identify exceptional responders and will molecularly profile tumors to discern molecular correlates with exceptional response. In this review, we discuss the potential role of exceptional responder molecular analysis in new biomarker discovery efforts to further advance precision medicine in oncology therapeutics.
广泛可用的分子分析技术,包括下一代测序,已经改变了癌症药物开发的格局。越来越多的早期药物开发临床试验需要根据分子改变来选择患者。同时,人们已经发表或正在进行努力,以确定在接受标准或试验性药物全身治疗后表现出异常反应的肿瘤中的分子改变。这些发现最终可能成为未来治疗的预测标志物或“可操作的突变”。为了测试从拟议的异常反应者患者中收集存档组织并随后进行成功的分子分析的可行性,美国国家癌症研究所于 2014 年启动了一项全国性的异常反应者倡议方案。此外,越来越多的异常反应者病例已被学术机构确定并发表。神秘异常反应者网络研究利用众包来识别异常反应者,并对肿瘤进行分子分析,以发现与异常反应相关的分子相关性。在这篇综述中,我们讨论了异常反应者分子分析在新的生物标志物发现工作中的潜在作用,以进一步推进肿瘤治疗学中的精准医学。