Sager Monica, Yeat Nai Chien, Pajaro-Van der Stadt Stefan, Lin Charlotte, Ren Qiuyin, Lin Jimmy
a College of Arts and Sciences , Washington University in St. Louis , St. Louis , MO , USA.
b Rare Genomics Institute , Bethesda , MD , USA.
Expert Rev Mol Diagn. 2015;15(12):1589-603. doi: 10.1586/14737159.2015.1105133. Epub 2015 Nov 13.
Transcriptomic technologies are evolving to diagnose cancer earlier and more accurately to provide greater predictive and prognostic utility to oncologists and patients. Digital techniques such as RNA sequencing are replacing still-imaging techniques to provide more detailed analysis of the transcriptome and aberrant expression that causes oncogenesis, while companion diagnostics are developing to determine the likely effectiveness of targeted treatments. This article examines recent advancements in molecular profiling research and technology as applied to cancer diagnosis, clinical applications and predictions for the future of personalized medicine in oncology.
转录组学技术正在不断发展,以便更早、更准确地诊断癌症,为肿瘤学家和患者提供更大的预测和预后效用。诸如RNA测序等数字技术正在取代静态成像技术,以提供对转录组和导致肿瘤发生的异常表达更详细的分析,同时伴随诊断技术也在不断发展,以确定靶向治疗的可能效果。本文探讨了分子谱分析研究和技术在癌症诊断、临床应用以及肿瘤个性化医疗未来预测方面的最新进展。