College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China; Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Trends Biochem Sci. 2019 Aug;44(8):659-674. doi: 10.1016/j.tibs.2019.03.009. Epub 2019 Apr 29.
Advances in next-generation sequencing have identified thousands of genomic variants that perturb the normal functions of proteins, further contributing to diverse phenotypic consequences in cancer. Elucidating the functional pathways altered by loss-of-function (LOF) or gain-of-function (GOF) mutations will be crucial for prioritizing cancer-causing variants and their resultant therapeutic liabilities. In this review, we highlight the fundamental function of GOF mutations and discuss the potential mechanistic effects in the context of signaling networks. We also summarize advances in experimental and computational resources, which will dramatically help with studies on the functional and phenotypic consequences of mutations. Together, systematic investigations of the function of GOF mutations will provide an important missing piece for cancer biology and precision therapy.
下一代测序技术的进步已经鉴定出数千种基因组变异,这些变异扰乱了蛋白质的正常功能,进一步导致癌症中出现多种表型后果。阐明功能途径的改变由功能丧失(LOF)或功能获得(GOF)突变将是优先考虑致癌突变及其潜在治疗局限性的关键。在这篇综述中,我们强调了 GOF 突变的基本功能,并讨论了在信号网络背景下的潜在机制影响。我们还总结了实验和计算资源的进展,这将极大地帮助研究突变的功能和表型后果。总之,对 GOF 突变功能的系统研究将为癌症生物学和精准治疗提供一个重要的缺失环节。