胶质母细胞瘤细胞微环境的定量分析,以建立总体生存的预测统计模型

Jessica X. Yuan, F. Bafakih, J. Mandell, B. Horton, J. Munson
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引用次数: 17

摘要

胶质母细胞瘤是最常见的原发性恶性脑肿瘤,具有独特的组织微环境。虽然非肿瘤细胞有助于胶质母细胞瘤的进展,但很少有定量研究表明肿瘤微环境影响对患者生存的影响。我们研究了细胞微环境(包括星形胶质细胞、小胶质细胞、少突胶质细胞和血管)与胶质母细胞瘤患者生存的关系。通过组织学染色和定量图像分析,我们检查了33例患者的肿瘤相关实质,并建立了基于肿瘤实质细胞图像的统计模型来预测患者预后。我们发现血管密度与较差的预后相关。为了检查邻近实质与较高肿瘤细胞密度的大块实质组织的作用,我们检查了这些高度可变区域的胶质成分。比较组织中大块和邻近星形胶质细胞和小胶质细胞对生存的预测最强,邻近星形胶质细胞水平高预示预后差,小胶质细胞水平高预示预后好。这些结果表明,实质成分预测胶质母细胞瘤患者的生存,特别是反应性胶质细胞群之间的平衡对患者预后很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Analysis of the Cellular Microenvironment of Glioblastoma to Develop Predictive Statistical Models of Overall Survival
Glioblastomas, the most common primary malignant brain tumors, have a distinct tissue microenvironment. Although non-neoplastic cells contribute to glioblastoma progression, very few quantitative studies have shown the effect of tumor microenvironmental influences on patient survival. We examined relationships of the cellular microenvironment, including astrocytes, microglia, oligodendrocytes, and blood vessels, to survival in glioblastoma patients. Using histological staining and quantitative image analyses, we examined the tumor-associated parenchyma of 33 patients and developed statistical models to predict patient outcomes based on the cellular picture of the tumor parenchyma. We found that blood vessel density correlated with poorer prognosis. To examine the role of adjacent parenchymal versus higher tumor cell density bulk parenchymal tissue, we examined the glial components in these highly variable regions. Comparison of bulk and adjacent astrocytes and microglia in tissue yielded the strongest prediction of survival, with high levels of adjacent astrocytes predicted poor prognosis and high levels of microglia correlated with a better prognosis. These results indicate that parenchymal components predict survival in glioblastoma patients and in particular that the balance between reactive glial populations is important for patient prognosis.
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