The Role of Genomic Profiling in Advanced Breast Cancer: The Two Faces of Janus.

Translational oncogenomics Pub Date : 2016-08-14 eCollection Date: 2016-01-01 DOI:10.4137/TOG.S39410
Yesim Eralp
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引用次数: 2

Abstract

Recent advances in genomic technology have led to considerable improvement in our understanding of the molecular basis that underpins breast cancer biology. Through the use of comprehensive whole genome genomic profiling by next-generation sequencing, an unprecedented bulk of data on driver mutations, key genomic rearrangements, and mechanisms on tumor evolution has been generated. These developments have marked the beginning of a new era in oncology called "personalized or precision medicine." Elucidation of biologic mechanisms that underpin carcinogenetic potential and metastatic behavior has led to an inevitable explosion in the development of effective targeted agents, many of which have gained approval over the past decade. Despite energetic efforts and the enormous support gained within the oncology community, there are many obstacles in the clinical implementation of precision medicine. Other than the well-known biologic markers, such as ER and Her-2/neu, no proven predictive marker exists to determine the responsiveness to a certain biologic agent. One of the major issues in this regard is teasing driver mutations among the background noise within the bulk of coexisting passenger mutations. Improving bioinformatics tools through electronic models, enhanced by improved insight into pathway dependency may be the step forward to overcome this problem. Next, is the puzzle on spatial and temporal tumoral heterogeneity, which remains to be solved by ultra-deep sequencing and optimizing liquid biopsy techniques. Finally, there are multiple logistical and financial issues that have to be meticulously tackled in order to optimize the use of "precision medicine" in the real-life setting.

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基因组图谱在晚期乳腺癌中的作用:Janus的两面。
基因组技术的最新进展使我们对支持乳腺癌生物学的分子基础的理解有了相当大的提高。通过下一代测序技术的全面全基因组图谱分析,产生了前所未有的大量关于驱动突变、关键基因组重排和肿瘤进化机制的数据。这些发展标志着肿瘤学一个被称为“个性化或精准医疗”的新时代的开始。对支持致癌潜能和转移行为的生物学机制的阐明导致了有效靶向药物开发的不可避免的爆炸式增长,其中许多药物在过去十年中获得了批准。尽管肿瘤学界做出了积极的努力并获得了巨大的支持,但在临床实施精准医学方面仍存在许多障碍。除了众所周知的生物标志物,如ER和Her-2/neu,还没有被证实的预测标志物来确定对某种生物制剂的反应性。这方面的主要问题之一是在大量共存的乘客突变的背景噪声中戏弄驾驶员突变。通过电子模型改进生物信息学工具,通过改进对途径依赖性的洞察力来增强,可能是克服这一问题的一步。其次,肿瘤的时空异质性有待超深度测序和优化液体活检技术来解决。最后,为了优化“精准医疗”在现实生活中的应用,还有许多后勤和财务问题需要精心解决。
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