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A molecular map of mesenchymal tumors
Authors:Stephen R Henderson  David Guiliano  Nadege Presneau  Sean McLean  Richard Frow  Sonja Vujovic  John Anderson  Neil Sebire  Jeremy Whelan  Nick Athanasou  Adrienne M Flanagan  Chris Boshoff
Institution:Cancer 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.
Keywords:
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