A biclustering algorithm for extracting bit-patterns from binary datasets.

MOTIVATION: Binary datasets represent a compact and simple way to store data about the relationships between a group of objects and their possible properties. In the last few years, different biclustering algorithms have been specially developed to be applied to binary datasets. Several approaches based on matrix factorization, suffix trees or divide-and-conquer techniques have been proposed to extract useful biclusters from binary data, and these approaches provide information about the distribution of patterns and intrinsic correlations. RESULTS: A novel approach to extracting biclusters from binary datasets, BiBit, is introduced here. The results obtained from different experiments with synthetic data reveal the excellent performance and the robustness of BiBit to density and size of input data. Also, BiBit is applied to a central nervous system embryonic tumor gene expression dataset to test the quality of the results. A novel gene expression preprocessing methodology, based on expression level layers, and the selective search performed by BiBit, based on a very fast bit-pattern processing technique, provide very satisfactory results in quality and computational cost. The power of biclustering in finding genes involved simultaneously in different cancer processes is also shown. Finally, a comparison with Bimax, one of the most cited binary biclustering algorithms, shows that BiBit is faster while providing essentially the same results. AVAILABILITY: The source and binary codes, the datasets used in the experiments and the results can be found at: http://www.upo.es/eps/bigs/BiBit.html CONTACT: dsrodbae@upo.es SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Genomic aberrations in pediatric gliomas and embryonal tumors.

The pathogenesis of pediatric central nervous system tumors is poorly understood. To increase knowledge about the genetic mechanisms underlying these tumors, we performed genome-wide screening of 17 pediatric gliomas and embryonal tumors combining G-band karyotyping and array comparative genomic hybridization (aCGH). G-banding revealed abnormal karyotypes in 56% of tumor samples (9 of 16; one failed in culture), whereas aCGH found copy number aberrations in all 13 tumors examined. Pilocytic astrocytomas (n = 3) showed normal karyotypes or nonrecurrent translocations by karyotyping but the well-established recurrent gain of 7q34 and 19p13.3 by aCGH. Our series included one anaplastic oligoastrocytoma, a tumor type not previously characterized genomically in children, and one anaplastic neuroepithelial tumor (probably an oligoastrocytoma); both showed loss of chromosome 14 by G-banding and structural aberrations of 6q and loss of 14q, 17p, and 22q by aCGH. Three of five supratentorial primitive neuroectodermal tumors showed aberrant karyotypes: two were near-diploid with mainly structural changes and one was near-triploid with several trisomies. aCGH confirmed these findings and revealed additional recurrent gains of 1q21-44 and losses of 3p21, 3q26, and 8p23. We describe cytogenetically for the first time a cribriform neuroepithelial tumor, a recently identified variant of atypical teratoid/rhabdoid tumor with a favorable prognosis, which showed loss of 1p33, 4q13.2, 10p12.31, 10q11.22, and 22q by aCGH. This study indicates the existence of distinct cytogenetic patterns in pediatric gliomas and embryonal tumors; however, further studies of these rare tumors using a multimodal approach are required before their true genomic aberration pattern can be finally established.

Embryonal neural tumours and cell death.

Medulloblastoma and neuroblastoma are malignant embryonal childhood tumours of the central and peripheral nervous systems, respectively, which often show poor clinical prognosis due to resistance to current chemotherapy. Both these tumours have deficient apoptotic machineries adopted from their respective progenitor cells. This review focuses on the specific background for tumour development, and highlights biological pathways that present potential targets for novel therapeutic approaches.

Recent advances in embryonal tumours of the central nervous system.

INTRODUCTION: Embryonal tumours of the central nervous system (CNS) are the commonest malignant paediatric brain tumours. This group includes medulloblastomas, supratentorial primitive neuroectodermal tumours, atypical teratoid/rhabdoid tumours, ependymoblastomas, and medulloepitheliomas. Earlier, all these tumours were grouped under a broad category of primitive neuroectodermal tumours (PNETs). However, the current WHO classification (2000) separates them into individual types based on significant progress in the understanding of their distinctive clinical, pathological, molecular genetic, histogenetic, and behavioural characteristics. Furthermore, advances in histopathology and molecular genetics have shown great promise for refining risk assessment in these tumours, especially medulloblastomas, thus providing a more accurate basis for tailoring therapies to individual patients. Correlation of histological changes with genetic events has also led to a new model of medulloblastoma tumorigenesis. REVIEW: This review presents an updated comparative profile of these tumours, highlighting the clinical and biological relevance of the recent advances.

The development of a catechol enzyme electrode and its possible use for the diagnosis and monitoring of neural crest tumours.

A catechol enzyme electrode is described, in which a Clark-type oxygen electrode is coupled to immobilised polyphenol oxidase in albumin cross linked with glutaraldehyde on a dialysis membrane. Electrode calibration, response time, pH response profile, stability, detection limit and selectivity are evaluated and the feasibility of using the electrode for the measurement of catecholamines in the urine of patients with neural crest tumours is assessed.