About EXO-OC™ Ovarian Cancer Screening Test
EXO-OC™ test has demonstrated 100% sensitivity for early-stage ovarian cancer with no false positives, setting new benchmarks for the early detection of ovarian cancer. This breakthrough technology offers hope for early diagnosis and intervention, which could save countless women’s lives.
The EXO-OC™ test is a next-generation, exosome-based blood test (liquid biopsy) in development for screening ovarian cancer in asymptomatic, average-risk women. EXO-OC™ uses proprietary INOVIQ technology (EXO-NET®) to isolate exosomes and combines multiple biomarkers in an algorithm to enable the early and accurate detection of ovarian cancer.
Ovarian cancer often goes undetected until advanced stages after symptoms appear, resulting in a five-year survival rate of just 45%. Early detection can increase five-year survival rate from 30% to 95%.
Key Features of EXO-OC™
- Non-invasive, exosome-based blood test — simple sample collection
- Excellent sensitivity and specificity setting new benchmarks for early detection
- Proprietary AI-enhanced algorithm combines exosomal miRNA biomarkers and CA125
- Fully-automated, high-throughput test — ready for clinical labs
Clinical Validation Data
A 498-sample, retrospective, case-control study to evaluate EXO-OC in age-matched ovarian cancers stage I-IV, benign masses and healthy controls demonstrated:
- 77% sensitivity and > 99.6% specificity for detecting ovarian cancer across all stages
- 100% sensitivity for early-stage Stage I and II disease — with no missed diagnoses
- Meets clinically accepted performance criteria for population screening — at least 75% sensitivity & 99.6% specificity
Reference: American Society of Clinical Oncology ASCO, 2025 Annual meeting, Abstract 5582: Early detection of ovarian cancer: An accurate high-throughput extracellular vesicle test. Authors: Carlos Salomon, Andrew Lai, Dominic Guanzon, Shayna Sharma, Katherin Scholz-Romero, Melissa Razo, Amanda Barnard, Mahesh Choolani, Carlos Palma, Ramin Khanabdali, Sunil Lakhani, Jermaine Coward, Leearne Hinch, Kaltin Ferguson, Lewis Perrin, Rohan Lourie, Anna DeFazio, John Hooper, Gregory Rice.
