Software Zeroes In on Ovarian Cancer

Ben A. Hitt is living proof that you can leave biomedical research without saying goodbye forever. More than 20 years since turning out the lights in the lab for what he thought was the last time, Hitt is not only back, he's in demand. Now chief scientist for Correlogic Systems, in Bethesda, Md., his phone hasn't stopped ringing since Feb. 16, when a paper in The Lancet1 announced that Proteome Quest, the pattern-recognition software he created, had identified a pattern among five serum proteins

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To see the potential of proteomic fingerprints, consider the limitations of the best-known biomarker for ovarian cancer: cancer antigen 125 (CA125). Ovarian cancer is usually discovered when it has already reached an advanced stage and metastasized. That CA125 levels are abnormal in 80% of advanced-stage cases is a fact of limited clinical utility, because therapy for advanced-stage ovarian cancer is not very good; the five-year survival rate is about 35%. What physicians need is a biomarker that alerts them to early-stage disease, when cancer is confined to the ovary, and surgery can cure nine out of 10 patients. Unfortunately, in early stages CA125 levels are abnormal no more than 60% of the time.

In contrast, the Lancet paper reported that in a masked set of 116 serum samples, the five-protein pattern discovered by Hitt's software correctly identified all 18 cases of stage I disease, and, in fact ,identified all 50 ...

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