Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas - PubMed (original) (raw)

doi: 10.1016/j.ccr.2005.03.019.

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

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

Miki Ohira et al. Cancer Cell. 2005 Apr.

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Abstract

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.

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