Reinhold William C
William C Reinhold, Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.
World J Clin Oncol. 2015 Dec 10;6(6):184-8. doi: 10.5306/wjco.v6.i6.184.
There is currently a split within the cancer research community between traditional molecular biological hypothesis-driven and the more recent "omic" forms or research. While the molecular biological approach employs the tried and true single alteration-single response formulations of experimentation, the omic employs broad-based assay or sample collection approaches that generate large volumes of data. How to integrate the benefits of these two approaches in an efficient and productive fashion remains an outstanding issue. Ideally, one would merge the understandability, exactness, simplicity, and testability of the molecular biological approach, with the larger amounts of data, simultaneous consideration of multiple alterations, consideration of genes both of known interest along with the novel, cross-sample comparisons among cell lines and patient samples, and consideration of directed questions while simultaneously gaining exposure to the novel provided by the omic approach. While at the current time integration of the two disciplines remains problematic, attempts to do so are ongoing, and will be necessary for the understanding of the large cell line screens including the Developmental Therapeutics Program's NCI-60, the Broad Institute's Cancer Cell Line Encyclopedia, and the Wellcome Trust Sanger Institute's Cancer Genome Project, as well as the the Cancer Genome Atlas clinical samples project. Going forward there is significant benefit to be had from the integration of the molecular biological and the omic forms or research, with the desired goal being improved translational understanding and application.
目前,癌症研究领域在传统的分子生物学假设驱动研究和最新的“组学”研究形式之间存在分歧。分子生物学方法采用经过验证的单一改变-单一反应实验模式,而组学则采用基于广泛检测或样本收集的方法来生成大量数据。如何以高效且富有成效的方式整合这两种方法的优势仍是一个突出问题。理想情况下,人们应将分子生物学方法的易懂性、精确性、简单性和可测试性与大量数据、对多种改变的同时考虑、对已知感兴趣基因和新基因的考量、细胞系与患者样本之间的跨样本比较以及对定向问题的考虑相结合,同时接触组学方法所提供的新内容。虽然目前这两个学科的整合仍存在问题,但相关尝试正在进行,对于理解大型细胞系筛选(包括美国国立癌症研究所发展治疗项目的NCI - 60、布罗德研究所的癌症细胞系百科全书以及惠康信托桑格研究所的癌症基因组计划)以及癌症基因组图谱临床样本项目而言,这种整合将是必要的。展望未来,整合分子生物学和组学研究形式将带来显著益处,期望目标是提升转化理解和应用水平。