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

Written byTom Hollon
| 7 min read

Register for free to listen to this article
Listen with Speechify
0:00
7:00
Share

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 ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to digital editions of The Scientist, as well as TS Digest, feature stories, more than 35 years of archives, and much more!
Already a member? Login Here

Meet the Author

Published In

Share
February 2026

A Stubborn Gene, a Failed Experiment, and a New Path

When experiments refuse to cooperate, you try again and again. For Rafael Najmanovich, the setbacks ultimately pushed him in a new direction.

View this Issue
Human-Relevant In Vitro Models Enable Predictive Drug Discovery

Advancing Drug Discovery with Complex Human In Vitro Models

Stemcell Technologies
Redefining Immunology Through Advanced Technologies

Redefining Immunology Through Advanced Technologies

Ensuring Regulatory Compliance in AAV Manufacturing with Analytical Ultracentrifugation

Ensuring Regulatory Compliance in AAV Manufacturing with Analytical Ultracentrifugation

Beckman Coulter Logo
Conceptual multicolored vector image of cancer research, depicting various biomedical approaches to cancer therapy

Maximizing Cancer Research Model Systems

bioxcell

Products

Sino Biological Logo

Sino Biological Pioneers Life Sciences Innovation with High-Quality Bioreagents on Inside Business Today with Bill and Guiliana Rancic

Sino Biological Logo

Sino Biological Expands Research Reagent Portfolio to Support Global Nipah Virus Vaccine and Diagnostic Development

Beckman Coulter

Beckman Coulter Life Sciences Partners with Automata to Accelerate AI-Ready Laboratory Automation

Refeyn logo

Refeyn named in the Sunday Times 100 Tech list of the UK’s fastest-growing technology companies