Title:

Diagnosis of the Small Round Blue Cell Tumors Using Multiplex Polymerase Chain Reaction

Authors:

Qing-Rong Chen*^†, Gordon Vansant^‡, Kahuku Oades^‡, Maria Pickering^‡, Jun S. Wei,* Young K. Song*, Joseph Monforte^‡, and Javed Khan*

From the Oncogenomics Section*, Pediatric Oncology Branch, Advanced Technology Center, National Cancer Institute, Gaithersburg, Maryland; the Advanced Biomedical Computing Center^†, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, Maryland; and Althea Technologies^‡, San Diego, California
 

Source:

Journal of Molecular Diagnostics

Year:

2007 Feb; Volume: 9 (1);  Pages: 80-88.

Abstract:

The small round blue cell tumors of childhood, which include neuroblastoma, rhabdomyosarcoma, non-Hodgkin’s lymphoma, and the Ewing’s family of tumors, are so called because of their similar appearance on routine histology. Using cDNA microarray gene expression profiles and artificial neural networks (ANNs), we previously identified 93 genes capable of diagnosing these cancers. Using a subset of these, together with some additional genes (total 39), we developed a multiplex polymerase chain reaction (PCR) assay to diagnose these cancer types. Blinded testing of 96 new samples (26 Ewing’s family of tumors, 29 rhabdomyosarcomas, 24 neuroblastomas, and 17 lymphomas) using ANNs in a complete leaveone-out analysis demonstrated that all except one sample were accurately diagnosed as their respective category. Moreover, using an ANN-based gene minimization strategy in a separate analysis, we found that the top 31 genes could correctly diagnose all 96 tumors. Our results suggest that this molecular test based on a multiplex PCR reaction may assist the physician in the rapid confirmation of the diagnosis of these cancers.