Clusters of histologic characteristics in children with infratentorial neuroglial tumors

被引:7
作者
Gilles, FH
Sobel, EL
Leviton, A
Tavaré, CJ
机构
[1] Childrens Hosp Los Angeles, Dept Pathol & Lab Med, Los Angeles, CA 90027 USA
[2] Univ So Calif, Sch Med, Dept Prevent Med, Los Angeles, CA 90089 USA
[3] Childrens Hosp, Boston, MA 02115 USA
[4] Harvard Univ, Sch Med, Boston, MA USA
关键词
brain; child; clusters; factor scores; neuroglial; tumor;
D O I
10.1023/A:1005984531474
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Five quantitative histologic factors, differing linear combinations of 26 reliably recognized histologic features, account for much of the histologic variance in 1068 children with infratentorial neuroglial tumors in the Childhood Brain Tumor Consortium (CBTC) database. In this study, we used the scores on the Spongy, Proliferative, Ring, Fibrillary, and Nuclear factors in cluster analyses and identified 11 clusters of children's tumors. Each had statistically significant differences in histology and relative histologic homogeneity. Three clusters had ependymoma-like histologic features; 4 had astrocytoma-like features; and 4 had primitive neuroectodermal-like (PNET or medulloblastoma) features. Each cluster had a unique high/low mean factor score pattern. Multiple operative and other clinical features characterized the three groups of clusters. We used Kaplan-Meier survival models to test for differences in survival among clusters and proportional hazards survival models to adjust for associated covariates. Among the 'ependymoma' clusters the 5 year survival probability ranged from 0.25 to 0.54. Among the 4 'astrocytoma' clusters, 5 year survival probability ranged from 0.59 to 0.94. The 5 year survival probability for the 'medulloblastoma' clusters ranged from 0.20 to 0.44. Within the three groups, clusters had differing covariates associated with survival. The tumor clusters identified in this study ensure relatively homogeneous histologic subsets. The five factor scores of a child's tumor provide the basis for finding the cluster nearest to that tumor. We propose that this tumor clustering strategy be employed for selection of children and for analyses of therapeutic clinical trials.
引用
收藏
页码:51 / 63
页数:13
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