Transcriptomics

Dataset Information

7

Primary human neuroblastoma


ABSTRACT: Reference1: Ohira M, Oba S, Nakamura Y, Isogai E, Kaneko S, Nakagawa A, Hirata T, Kubo H, Goto T, Yamada S, Yoshida Y, Fuchioka M, Ishii S, Nakagawara A. Expression profiling of human primary Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas. Cancer Cell. 2005 Apr;7(4):337-50. To predict the prognosis of neuroblastoma patients and choose a better therapeutic protocol, we developed a cDNA microarray carrying 5340 genes obtained from primary neuroblastomas and examined 136 tumor samples. We made a probabilistic output statistical classifier that provided a high accuracy in prognosis prediction (89% at 5 years) and a highly reliable method to validate it. Kaplan-Meier analysis indicated that the patients in an intermediate group defined by existing markers are divided by microarray into two further groups with 5 year survivals for 36% and 89% of patients (p < 10(-4)), i.e., with unfavorably and favorably predicted neuroblastomas, respectively. According to these results, we developed a gene subset chip for a clinical tool, for which our classifier exhibited 88% prediction accuracy. Datasets: neuroblastomas by CCC-NB200-Chip: GSM42338-GSM42387 Expression profiling of human primary neuroblastomas by CCC-NB5000-Chip: GSM42391-GSM42526 Keywords = Neuroblastoma

ORGANISM(S): Homo sapiens  

SUBMITTER: Atsuko Nakagawa   Miki Ohira  Yohko Nakamura  Akira Nakagawara  Shin Ishii  Saichi Yamada  Hiroyuki Kubo  Shigeyuki Oba  Misa Fuchioka  Takeshi Goto  Yasuko Yoshida  Setsuko Kaneko  Takahiro Hirata  Eriko Isogai 

PROVIDER: E-GEOD-2283 | ArrayExpress | 2005-05-12

SECONDARY ACCESSION(S): GSE2283PRJNA91339

REPOSITORIES: GEO, ArrayExpress

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Publications

Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas.

Ohira Miki M   Oba Shigeyuki S   Nakamura Yohko Y   Isogai Eriko E   Kaneko Setsuko S   Nakagawa Atsuko A   Hirata Takahiro T   Kubo Hiroyuki H   Goto Takeshi T   Yamada Saichi S   Yoshida Yasuko Y   Fuchioka Misa M   Ishii Shin S   Nakagawara Akira A  

Cancer cell 20050401 4


To predict the prognosis of neuroblastoma patients and choose a better therapeutic protocol, we developed a cDNA microarray carrying 5340 genes obtained from primary neuroblastomas and examined 136 tumor samples. We made a probabilistic output statistical classifier that provided a high accuracy in prognosis prediction (89% at 5 years) and a highly reliable method to validate it. Kaplan-Meier analysis indicated that the patients in an intermediate group defined by existing markers are divided by  ...[more]

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