Potential Risks in the Paradigm of Basic to Translational Research: A Critical Evaluation of qPCR Telomere Size Techniques.

Journal of cancer epidemiology & treatment Pub Date : 2015-01-01 Epub Date: 2015-08-12 DOI:10.24218/jcet.2015.08
Arthur J Lustig
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引用次数: 5

Abstract

Real time qPCR has become the method of choice for rapid large-scale telomere length measurements. Large samples sizes are critical for clinical trials, and epidemiological studies. QPCR has become such routine procedure that it is often used with little critical analysis. With proper controls, the mean telomere size can be derived from the data and even the size can be estimated. But there is a need for more consistent and reliable controls that will provide closer to the actual mean size can be obtained with uniform consensus controls. Although originating at the level of basic telomere research, many researchers less familiar with telomeres often misunderstand the source and significance of the qPCR metric. These include researchers and clinicians who are interested in having a rapid tool to produce exciting results in disease prognostics and diagnostics than in the multiple characteristics of telomeres that form the basis of the measurement. But other characteristics of the non-bimodal and heterogeneous telomeres as well as the complexities of telomere dynamics are not easily related to qPCR mean telomere values. The qPCR metric does not reveal the heterogeneity and dynamics of telomeres. This is a critical issue since mutations in multiple genes including telomerase can cause telomere dysfunction and a loss of repeats. The smallest cellular telomere has been shown to arrest growth of the cell carrying the dysfunction telomere. A goal for the future is a simple method that takes into account the heterogeneity by measuring the highest and lowest values as part of the scheme to compare. In the absence of this technique, Southern blots need to be performed in a subset of qPCR samples for both mean telomere size and the upper and lower extremes of the distribution. Most importantly, there is a need for greater transparency in discussing the limitations of the qPCR data. Given the potentially exciting qPCR telomere size results emerging from clinical studies that relate qPCR mean telomere size estimates to disease states, the current ambiguities have become urgent issues to validate the findings and to set the right course for future clinical investigations.

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从基础到转化研究范式的潜在风险:qPCR端粒大小技术的关键评估。
实时qPCR已成为快速大规模端粒长度测量的首选方法。大样本量对临床试验和流行病学研究至关重要。QPCR已经成为如此常规的程序,以至于它经常被用于很少的批判性分析。通过适当的控制,可以从数据中得出平均端粒大小,甚至可以估计端粒大小。但是,需要更一致和可靠的控制,以提供更接近实际的平均大小,可以通过统一的共识控制。虽然起源于基础端粒研究水平,但许多不太熟悉端粒的研究人员经常误解qPCR的来源和意义。其中包括研究人员和临床医生,他们感兴趣的是拥有一种快速工具,在疾病预后和诊断方面产生令人兴奋的结果,而不是端粒的多种特征,这些特征构成了测量的基础。但非双峰和异构端粒的其他特征以及端粒动力学的复杂性,不容易与qPCR平均端粒值相关联。qPCR指标并没有揭示端粒的异质性和动态。这是一个关键问题,因为包括端粒酶在内的多个基因突变会导致端粒功能障碍和重复序列的丢失。最小的细胞端粒已被证明可以阻止携带功能障碍端粒的细胞的生长。未来的目标是一种简单的方法,通过测量最高和最低的值来考虑异质性,作为比较方案的一部分。在没有这种技术的情况下,需要在qPCR样品的一个子集中进行Southern印迹,以获得平均端粒大小和分布的上下极值。最重要的是,在讨论qPCR数据的局限性时需要更大的透明度。考虑到qPCR端粒大小从临床研究中出现的潜在令人兴奋的结果,将qPCR平均端粒大小估计与疾病状态联系起来,目前的模糊性已成为验证研究结果并为未来临床研究设定正确路线的紧迫问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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