Fh. Gilles et al., CLUSTERS OF HISTOLOGIC CHARACTERISTICS IN CHILDREN WITH INFRATENTORIAL NEUROGLIAL TUMORS, Journal of neuro-oncology, 39(1), 1998, pp. 51-63
Five quantitative histologic factors, differing linear combinations of
26 reliably recognized histologic features, account for much of the h
istologic variance in 1068 children with infratentorial neuroglial tum
ors in the Childhood Brain Tumor Consortium (CBTC) database. In this s
tudy, we used the scores on the Spongy, Proliferative, Ring, Fibrillar
y, and Nuclear factors in cluster analyses and identified 11 clusters
of children's tumors. Each had statistically significant differences i
n histology and relative histologic homogeneity. Three clusters had ep
endymoma-like histologic features; 4 had astrocytoma-like features; an
d 4 had primitive neuroectodermal-like (PNET or medulloblastoma) featu
res. Each cluster had a unique high/low mean factor score pattern. Mul
tiple operative and other clinical features characterized the three gr
oups of clusters. We used Kaplan-Meier survival models to test for dif
ferences in survival among clusters and proportional hazards survival
models to adjust for associated covariates. Among the 'ependymoma' clu
sters 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 sub
sets. 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 anal
yses of therapeutic clinical trials.