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Genome Biol. 2005;6(9):R76. Epub 2005 Aug 26.

A molecular map of mesenchymal tumors.

Author information

  • 1Cancer Research UK, Viral Oncology Group, Wolfson Institute for Biomedical Research, Gower Street, University College London, London, WC1E 6BT, UK. s.henderson@ucl.ac.uk

Abstract

BACKGROUND:

Bone and soft tissue tumors represent a diverse group of neoplasms thought to derive from cells of the mesenchyme or neural crest. Histological diagnosis is challenging due to the poor or heterogenous differentiation of many tumors, resulting in uncertainty over prognosis and appropriate therapy.

RESULTS:

We have undertaken a broad and comprehensive study of the gene expression profile of 96 tumors with representatives of all mesenchymal tissues, including several problem diagnostic groups. Using machine learning methods adapted to this problem we identify molecular fingerprints for most tumors, which are pathognomonic (decisive) and biologically revealing.

CONCLUSION:

We demonstrate the utility of gene expression profiles and machine learning for a complex clinical problem, and identify putative origins for certain mesenchymal tumors.

PMID:
16168083
[PubMed - indexed for MEDLINE]
PMCID:
PMC1242211
Free PMC Article

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