Thursday, September 12, 2013
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An algorithm to predict
cancer subtypes by simplifying complex gene classifiers
A computational model could
simplify gene classifiers used to predict molecular subtypes in cancer.
Patients with rhabdomyosarcoma are classified as having low, intermediate or
high risk of death, which informs the type of chemotherapy they receive. In
three separate sets of published gene expression data from patients with
rhabdomyosarcoma, the algorithm could distinguish tumors that express the paired
binding protein fox-1 homolog 1 (FOX1)
fusion gene from those that do not in >97% of cases
based on pairs of markers. The algorithm also distinguished between patients
with lung cancer suffering early death and those experiencing long-term
survival by using two-gene combinations with an efficiency of >85%. Next steps include generalizing the algorithm,
making it available on a public platform and prospectively testing the
classifier in clinical trials.
Published online Sept. 12, 2013
Patent and licensing status
not applicable; tool will be available at http://exhaustive.msvalidator.org
Wilson, R.A. et al.
Cancer Res.; published online Aug. 2, 2013;
Contact: Samuel L. Volchenboum, The University of Chicago, Chicago,
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