2004
DOI: 10.1158/1078-0432.ccr-04-0499
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A Clinicobiological Model Predicting Survival in Medulloblastoma

Abstract: Purpose: The purpose of this study was to determine the relative contributions of biological and clinical predictors of survival in patients with medulloblastoma (MB).Experimental Design: Clinical presentation and survival information were obtained for 119 patients who had undergone surgery for MB at the Hospital for Sick Children (Toronto, Ontario, Canada) between 1985 and 2001. A tissue microarray was constructed from the tumor samples. The arrays were assayed for immunohistochemical expression of MYC, p53, … Show more

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Cited by 112 publications
(79 citation statements)
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References 38 publications
(40 reference statements)
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“…Tissue arrays were prepared as described earlier by our group (Ray et al, 2004;Tabori et al, 2006a). Briefly, for each patient, all pathologic blocks and corresponding slides were obtained and reviewed by a neuropathologist (CH) for diagnostic accuracy and tissue adequacy.…”
Section: Ependymoma Tissue Array Constructionmentioning
confidence: 99%
“…Tissue arrays were prepared as described earlier by our group (Ray et al, 2004;Tabori et al, 2006a). Briefly, for each patient, all pathologic blocks and corresponding slides were obtained and reviewed by a neuropathologist (CH) for diagnostic accuracy and tissue adequacy.…”
Section: Ependymoma Tissue Array Constructionmentioning
confidence: 99%
“…[1][2][3] Cytogenetic and genetic events, including chromosome 17 aberrations, CTNNB1 mutation/monosomy 6, and MYC family amplification, are informative predictors of patient outcome. [4][5][6][7][8][9][10] Recently, a molecular risk stratification approach based on multicolor fluorescence in situ hybridization (FISH) of MYC and MYCN loci, as well as chromosomal alterations on 17q and 6q, proved…”
Section: Introductionmentioning
confidence: 99%
“…Considerable advances have been made in the treatment of MB in the last three decades by using multimodal therapeutic regimens involving surgery, radiotherapy, and chemotherapy. About 10-15% of patients die from disease within 2 years after diagnosis, whereas approximately 60% of patients can nowadays be cured [9,11,22,23]. However, the predictive performance of current risk stratiWcation, which is entirely based on clinical variables, needs to be improved because of the dismal prognosis of children with tumor relapse, and because of relevant treatment-induced long-term eVects of survivors [21].…”
Section: Introductionmentioning
confidence: 99%