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Can Archival Tissue Reveal Answers to Modern Research Questions?: Computer-Aided Histological Assessment of Neuroblastoma Tumours Collected over 60 Years

机译:档案组织能否揭示现代研究问题的答案?:收集了60多年的神经母细胞瘤肿瘤的计算机辅助组织学评估

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摘要

Despite neuroblastoma being the most common extracranial solid cancer in childhood, it is still a rare disease. Consequently, the unavailability of tissue for research limits the statistical power of studies. Pathology archives are possible sources of rare tissue, which, if proven to remain consistent over time, could prove useful to research of rare disease types. We applied immunohistochemistry to investigate whether long term storage caused any changes to antigens used diagnostically for neuroblastoma. We constructed and quantitatively assessed a tissue microarray containing neuroblastoma archival material dating between 1950 and 2007. A total of 119 neuroblastoma tissue cores were included spanning 6 decades. Fourteen antibodies were screened across the tissue microarray (TMA). These included seven positive neuroblastoma diagnosis markers (NB84, Chromogranin A, NSE, Ki-67, INI1, Neurofilament Protein, Synaptophysin), two anticipated to be negative (S100A, CD99), and five research antibodies (IL-7, IL-7R, JAK1, JAK3, STAT5). The staining of these antibodies was evaluated using Aperio ImageScope software along with novel pattern recognition and quantification algorithms. This analysis demonstrated that marker signal intensity did not decrease over time and that storage for 60 years had little effect on antigenicity. The construction and assessment of this neuroblastoma TMA has demonstrated the feasibility of using archival samples for research.
机译:尽管神经母细胞瘤是儿童时期最常见的颅外实体癌,但它仍然是一种罕见的疾病。因此,组织无法用于研究限制了研究的统计能力。病理学档案可能是稀有组织的来源,如果经证明能长期保持一致,则可能对稀有疾病类型的研究有用。我们应用免疫组化研究了长期保存是否导致诊断用于神经母细胞瘤的抗原发生任何变化。我们构建并定量评估了包含1950年至2007年之间的神经母细胞瘤档案材料的组织微阵列。涵盖了6个十年的119个神经母细胞瘤组织核心。跨组织微阵列(TMA)筛选了14种抗体。其中包括七个阳性的神经母细胞瘤诊断标记(NB84,嗜铬粒蛋白A,NSE,Ki-67,INI1,神经丝蛋白,突触素),两个预期为阴性的标记(S100A,CD99)和五个研究抗体(IL-7,IL-7R) ,JAK1,JAK3,STAT5)。使用Aperio ImageScope软件以及新颖的模式识别和定量算法对这些抗体的染色进行了评估。该分析表明标记物信号强度不会随时间降低,并且存储60年对抗原性影响很小。这种神经母细胞瘤TMA的构建和评估证明了使用档案样本进行研究的可行性。

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