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Results for “Cancer diagnostics”

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At least 343 records · Page 19Linked to original sources
PubMed1996

[Prerequisites for diagnostic use of antisense oligonucleotides in nuclear medicine].

A new promising perspective in nuclear medicine is the use of radiolabeled antisense oligonucleotides as diagnostic markers. Especially for cancer diagnostics, a quantitative accumulation of antisense probes which are directed against abundantly expressed oncogene mRNAs seems to be reasonable. However, the development of this strategy still requires an optimization of several parameters: (i) rapid and efficient radiolabeling methods, (ii) a fast penetration of the probe into the target tissue, (iii) a fast internalization into the tumor cell, (iv) an oligonucleotide/mRNA hybrid formation with high specificity, and (v) a high stability of the hybrid against intracellular nucleases.

Humans↗
PubMed2001

Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks.

The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs). We trained the ANNs using the small, round blue-cell tumors (SRBCTs) as a model. These cancers belong to four distinct diagnostic categories and often present diagnostic dilemmas in clinical practice. The ANNs correctly classified all samples and identified the genes most relevant to the classification. Expression of several of these genes has been reported in SRBCTs, but most have not been associated with these cancers. To test the ability of the trained ANN models to recognize SRBCTs, we analyzed additional blinded samples that were not previously used for the training procedure, and correctly classified them in all cases. This study demonstrates the potential applications of these methods for tumor diagnosis and the identification of candidate targets for therapy.

Burkitt Lymphoma↗