Boutros Paul C
Informatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto M5G 0A3, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto M5S 1A8, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto M5S 1A8, Ontario, Canada.
Genome Res. 2015 Oct;25(10):1508-13. doi: 10.1101/gr.191114.115.
It has been almost 15 years since the first microarray-based studies creating multigene biomarkers to subtype and predict survival of cancer patients. This Perspective looks at why only a handful of genomic biomarkers have reached clinical application and what advances are needed over the next 15 years to grow this number. I discuss challenges in creating biomarkers and reproducing them at the genomic and computational levels, including the problem of spatio-genomic heterogeneity in an individual cancer. I then outline the challenges in translating newly discovered genome-wide or regional events, like trinucleotide mutation signatures, kataegis, and chromothripsis, into biomarkers, as well as the importance of incorporating prior biological knowledge. Lastly, I outline the practical problems of pharmaco-economics and adoption: Are new biomarkers viewed as economically rational by potential funders? And if they are, how can their results be communicated effectively to patients and their clinicians? Genomic-based diagnostics have immense potential for transforming the management of cancer. The next 15 years will see a surge of research into the topics here that, when combined with a stream of new targeted therapies being developed, will personalize the cancer clinic.
自首次基于微阵列的研究创建多基因生物标志物以对癌症患者进行亚型分类和预测生存情况以来,已经过去了近15年。这篇综述探讨了为何只有少数基因组生物标志物进入了临床应用,以及在未来15年需要取得哪些进展才能增加这一数量。我讨论了在基因组和计算层面创建生物标志物并进行重现时所面临的挑战,包括个体癌症中空间基因组异质性的问题。然后,我概述了将新发现的全基因组或局部事件,如三核苷酸突变特征、kataegis和染色体碎裂,转化为生物标志物的挑战,以及纳入先前生物学知识的重要性。最后,我概述了药物经济学和应用方面的实际问题:潜在的资助者是否认为新的生物标志物在经济上是合理的?如果是,如何将其结果有效地传达给患者及其临床医生?基于基因组的诊断在改变癌症治疗管理方面具有巨大潜力。未来15年将涌现出大量关于此处主题的研究,这些研究与正在开发的一系列新的靶向治疗相结合,将使癌症临床治疗更加个性化。