A molecular map of mesenchymal tumors.
Ontology highlight
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.
SUBMITTER: Henderson SR
PROVIDER: S-EPMC1242211 | biostudies-literature | 2005
REPOSITORIES: biostudies-literature
Publications
A molecular map of mesenchymal tumors.
Henderson Stephen R SR Guiliano David D Presneau Nadege N McLean Sean S Frow Richard R Vujovic Sonja S Anderson John J Sebire Neil N Whelan Jeremy J Athanasou Nick N Flanagan Adrienne M AM Boshoff Chris C
Genome biology 20050826 9
<h4>Background</h4>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.<h4>Results</h4>We have undertaken a broad and comprehensive study of the gene expression profile of 96 tumors with representatives of all mesenchymal tissues, including several proble ...[more]
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