评估前列腺癌预后标志物的定性和定量要求。

Christoph Burdelski, Aleksandra Matuszewska, Martina Kluth, Christina Koop, Katharina Grupp, Stefan Steurer, Corinna Wittmer, Sarah Minner, Maria Christina Tsourlakis, Guido Sauter, Thorsten Schlomm, Ronald Simon
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引用次数: 3

摘要

为了改善前列腺癌的治疗决策,迫切需要分子预后标志物。为了更好地了解生物标志物研究的需求,我们重新分析了50 - >10,000个肿瘤亚群中39个预后标志物的前列腺癌组织微阵列免疫组织化学(IHC)数据。我们发现个体标志物的“预后能力”与此类研究中应最低限度纳入的组织数量之间存在很强的相关性。如果分析≥6400份组织样本,39种免疫组化标志物中90%以上与预后相关。研究组织质量标记,包括内皮细胞相关基因(ERG)和波形蛋白的免疫组化,以及人表皮生长因子受体2 (HER2)的荧光原位杂交分析,我们发现组织微阵列(TMA)中18%的组织显示出组织保存减少和免疫反应性受限的迹象。在排除和不排除这些缺陷组织的肿瘤亚群中,比较Kaplan-Meier生存分析结果或与ERG免疫组化的关联并没有显示出统计学上的相关差异。总之,我们的研究表明,以生化复发为终点的基于tma的标志物验证研究需要至少6400个个体组织样本来建立分子标志物表达与患者预后之间的统计相关关系,如果弱至中度预后因子也应该可靠地确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer.

Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer.

Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer.

Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer.

Molecular prognostic markers are urgently needed in order to improve therapy decisions in prostate cancer. To better understand the requirements for biomarker studies, we re-analyzed prostate cancer tissue microarray immunohistochemistry (IHC) data from 39 prognosis markers in subsets of 50 - >10,000 tumors. We found a strong association between the "prognostic power" of individual markers and the number of tissues that should be minimally included in such studies. The prognostic relevance of more than 90% of the 39 IHC markers could be detected if ≥6400 tissue samples were analyzed. Studying markers of tissue quality, including immunohistochemistry of ets-related gene (ERG) and vimentin, and fluorescence in-situ hybridization analysis of human epidermal growth factor receptor 2 (HER2), we found that 18% of tissues in our tissue microarray (TMA) showed signs of reduced tissue preservation and limited immunoreactivity. Comparing the results of Kaplan-Meier survival analyses or associations to ERG immunohistochemistry in subsets of tumors with and without exclusion of these defective tissues did not reveal statistically relevant differences. In summary, our study demonstrates that TMA-based marker validation studies using biochemical recurrence as an endpoint require at least 6400 individual tissue samples for establishing statistically relevant associations between the expression of molecular markers and patient outcome if weak to moderate prognosticators should also be reliably identified.

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来源期刊
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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