We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Assay Uses Novel Method for Early Detection of Ovarian Cancer

By LabMedica International staff writers
Posted on 05 Jul 2022
Print article
Image: New data demonstrates promise of novel extracellular vesicle biomarker-based approach for early cancer detection (Photo courtesy of Mercy BioAnalytics)
Image: New data demonstrates promise of novel extracellular vesicle biomarker-based approach for early cancer detection (Photo courtesy of Mercy BioAnalytics)

High-grade serious ovarian cancer (HGSOC) is the most aggressive of all ovarian cancers and accounts for up to 70% of all ovarian cancer cases. Nearly 50% of ovarian cancer is detected at stage III or stage IV with poor survival outcomes. Current surveillance methods, including CA125, a current standard of care for ovarian cancer diagnosis, and ultrasound, are not effective enough at detecting early-stage disease. Emerging methods for early cancer detection rely primarily on tumor DNA circulating in blood (ctDNA), which is scarce in early-stage cancers, costly to measure, and not reliably obtained from tumors that are not well vascularized. Now, an assay that uses a novel method of analyzing biomarkers based on individual extracellular vesicles (EVs) has substantially outperformed CA125 when distinguishing patients with early-stage HGSOC from women with benign conditions in a new study.

Mercy BioAnalytics, Inc.’s (Natick, MA, USA) novel Mercy Halo technology enables simultaneous detection of multiple cancer-related biomarkers co-localized on the surface of individual tumor-derived extracellular vesicles, which are abundant in circulation and can be readily measured. The Mercy Halo OC assay is designed to detect stage I/II ovarian cancer and to distinguish cancer from benign conditions.

The study found that the Mercy Halo OC assay displayed separation of HGSOC from benign adnexal masses and healthy controls that was superior to CA125. When run against a variety of off-target cancers and inflammatory conditions, it discriminated them from ovarian cancer in most instances When run in paired serum and plasma samples, the Mercy Halo OC assay had highly correlated signals with virtually no bias, indicating that it can be validated further in established blood biorepositories, which offers the potential to accelerate clinical study and development.

“These preliminary data suggest this approach may detect all stages of ovarian cancer with high sensitivity at a very high specificity and works equally well in both plasma and serum. Mercy’s assay shows promise in improving on CA125 by distinguishing stage I/II cancer from benign ovarian tumors and could have clinical utility for both early detection and surgical referral recommendation for benign and malignant ovarian tumors,” said Christine D. Berg, M.D., retired Chief, Early Detection Research Group, National Institutes of Health.

“Too many women today suffer, and ultimately lose their lives, as a result of the late detection of ovarian cancer. We are encouraged by the data of our most recent study comparing the Mercy Halo Ovarian Cancer assay to CA125 in detecting early-stage ovarian cancer and distinguishing it from benign disease,” said Paul Blavin, Chief Executive Officer of Mercy BioAnalytics. “Our unique approach, focused on co-localization to interrogate single extracellular vesicles, has important advantages over current early cancer detection methods, and our work thus far has fueled our passion for relieving suffering and saving lives through the early detection of cancer. We look forward to expanding our studies of the Mercy Halo Ovarian Cancer assay to include average risk, asymptomatic women who might benefit from an improved ovarian cancer screening paradigm.”

Related Links:
Mercy BioAnalytics, Inc. 

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Systemic Autoimmune Testing Assay
BioPlex 2200 ANA Screen with MDSS

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Molecular Diagnostics

view channel
Image: Liquid biopsy could detect and monitor aggressive small cell lung cancer (Photo courtesy of Shutterstock)

Blood-Based Test Detects and Monitors Aggressive Small Cell Lung Cancer

Small cell lung cancer (SCLC) is a highly aggressive type of cancer known for its ability to metastasize. The behavior of tumors is largely governed by which genes are turned on, or transcribed, irrespective... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: The groundbreaking treatment approach has shown promise in hard-to-treat cancers (Photo courtesy of 123RF)

Genetic Testing Combined With Personalized Drug Screening On Tumor Samples to Revolutionize Cancer Treatment

Cancer treatment typically adheres to a standard of care—established, statistically validated regimens that are effective for the majority of patients. However, the disease’s inherent variability means... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.