Advancing Clinicopathologic Diagnosis of High-risk Neuroblastoma Using Computerized Image Analysis and Proteomic Profiling.
Advancing Clinicopathologic Diagnosis of High-risk Neuroblastoma Using Computerized Image Analysis and Proteomic Profiling.
复制标题
DOI：
10.1177/1093526617698603
复制
发表时间：
2017-09
期刊：
影响因子：
--
通讯作者：
Weiser DA
中科院分区：
文献类型：
--
作者：
Niazi MKK;Chung JH;Heaton-Johnson KJ;Martinez D;Castellanos R;Irwin MS;Master SR;Pawel BR;Gurcan MN;Weiser DA
一部分神经母细胞瘤患者治疗失败的风险极高，尽管他们在诊断时无法识别，因此使用常规治疗方法的死亡率最高。尽管对与预后相关的临床和生物学特征有着深刻的理解，但治疗失败的超高风险神经母细胞瘤仍然是一个诊断挑战。作为改善高危患者预后风险分层的第一步，我们确定了使用计算机图像分析和蛋白质组学分析诊断组织标本的单个载玻片的可行性。在专家病理学家对肿瘤切片进行审查以确保质量和代表性材料输入后，我们使用计算组织学分析和半定量蛋白质组学分析评估了单个载玻片的多个区域以及来自不同患者肿瘤的多个切片。我们发现，这两种方法都确定了肿瘤间的异质性大于肿瘤内的异质性。无偏聚类的样本是最大的肿瘤内，这表明一个单一的部分可以代表肿瘤作为一个整体。来自不同个体的肿瘤样本之间存在预期异质性，来自同一患者的标本之间具有高度相似性。这两种技术都是新的，以补充神经母细胞瘤的病理学家审查精细的风险分层，特别是因为我们证明这些结果只使用一个单一的幻灯片来自什么通常是稀缺的组织资源。由于传统方法的局限性，前期分层，整合新的模式与数据来源于一个部分的肿瘤有希望作为工具，以改善结果。
A subset of patients with neuroblastoma are at extremely high risk for treatment failure, though they are not identifiable at diagnosis and therefore have the highest mortality with conventional treatment approaches. Despite tremendous understanding of clinical and biological features that correlate with prognosis, neuroblastoma at ultra-high risk for treatment failure remains a diagnostic challenge. As a first step towards improving prognostic risk stratification within the high-risk group of patients, we determined the feasibility of using computerized image analysis and proteomic profiling on single slides from diagnostic tissue specimens. After expert pathologist review of tumor sections to ensure quality and representative material input, we evaluated multiple regions of single slides as well as multiple sections from different patients’ tumors using computational histologic analysis and semiquantitative proteomic profiling. We found that both approaches determined that intertumor heterogeneity was greater than intratumor heterogeneity. Unbiased clustering of samples was greatest within a tumor, suggesting a single section can be representative of the tumor as awhole. There is expected heterogeneity between tumor samples from different individuals with a high degree of similarity among specimens derived from the same patient. Both techniques are novel to supplement pathologist review of neuroblastoma for refined risk stratification, particularly since we demonstrate these results using only a single slide derived from what is usually a scarce tissue resource. Due to limitations of traditional approaches for upfront stratification, integration of new modalities with data derived from one section of tumor hold promise as tools to improve outcomes.
登录
查看更多内容
影响因子：
8
作者：
Sertel, O.;Kong, J.;Shimada, H.;Catalyurek, U. V.;Saltz, J. H.;Gurcan, M. N.
通讯作者：
Gurcan, M. N.
影响因子：
5.8
作者：
Polpitiya, Ashoka D.;Qian, Wei-Jun;Smith, Richard D.
通讯作者：
Smith, Richard D.
影响因子：
14.8
作者：
Rappsilber, Juri;Mann, Matthias;Ishihama, Yasushi
通讯作者：
Ishihama, Yasushi
影响因子：
158.5
作者：
SEEGER, RC;BRODEUR, GM;HAMMOND, D
通讯作者：
HAMMOND, D
影响因子：
56.9
作者：
BRODEUR, GM;SEEGER, RC;BISHOP, JM
通讯作者：
BISHOP, JM