Yu Kun-Hsing, Snyder Michael
From the ‡Department of Genetics, Stanford University School of Medicine, Stanford, California; §Biomedical Informatics Program, Stanford University School of Medicine, Stanford, California.
From the ‡Department of Genetics, Stanford University School of Medicine, Stanford, California;
Mol Cell Proteomics. 2016 Aug;15(8):2525-36. doi: 10.1074/mcp.O116.059253. Epub 2016 Apr 20.
Cancer causes significant morbidity and mortality worldwide, and is the area most targeted in precision medicine. Recent development of high-throughput methods enables detailed omics analysis of the molecular mechanisms underpinning tumor biology. These studies have identified clinically actionable mutations, gene and protein expression patterns associated with prognosis, and provided further insights into the molecular mechanisms indicative of cancer biology and new therapeutics strategies such as immunotherapy. In this review, we summarize the techniques used for tumor omics analysis, recapitulate the key findings in cancer omics studies, and point to areas requiring further research on precision oncology.
癌症在全球范围内导致了严重的发病率和死亡率，并且是精准医学中最受关注的领域。高通量方法的最新发展使得对肿瘤生物学基础分子机制进行详细的组学分析成为可能。这些研究已经确定了具有临床可操作性的突变、与预后相关的基因和蛋白质表达模式，并为指示癌症生物学的分子机制以及免疫疗法等新的治疗策略提供了进一步的见解。在这篇综述中，我们总结了用于肿瘤组学分析的技术，概括了癌症组学研究中的关键发现，并指出了精准肿瘤学中需要进一步研究的领域。
