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 hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Revolutionary Tests Powered by Exosome-Isolation Technology to Detect Challenging Cancers from Blood Draw

By LabMedica International staff writers
Posted on 18 Apr 2023

Liquid biopsy techniques for cancer are becoming increasingly prevalent in diagnosis, prognosis, and disease management. More...

Highly sensitive and specific approaches for early detection are key for mortality reduction. Consequently, developing tools that enable early disease detection is essential for improving patient survival outcomes. Extracellular vesicles (EVs), a novel class of blood-based, cell-free biomarkers, hold promise for diagnosing cancer at its earliest stages.

Biological Dynamics, Inc. (San Diego, CA, USA) is developing assays for early-stage cancer detection that utilize its patented ExoVerita platform. This platform isolates and analyzes EVs, including exosomes present in patient blood samples. By targeting and isolating exosomes carrying informative biomarkers, the assays can detect specific blood-based exosome protein biomarkers, allowing for highly sensitive early-stage cancer detection.

New data presented by the company suggests the potential for its technology and assays to play a vital role in cancer surveillance and early detection. In a clinical trial evaluating the effectiveness of its ExoVita Pancreas assay for early-stage detection of pancreatic cancer, the assay detected stage 1 and 2 pancreatic ductal adenocarcinoma in 105 confirmed cases (Stage 1 = 39; Stage II = 66) and 545 controls with 93% sensitivity and 91% specificity.

Similarly, a pilot study exploring the potential of liquid biopsy for lung cancer diagnosis based on EVs, the company assessed 143 pathologically confirmed lung cancer cases and 491 controls using a stratified cross-validation approach. The results demonstrated that the company's lung assay, performed on its ExoVerita platform, detected cancer with an overall sensitivity and specificity of approximately 91%.

“We are developing a clinical tool to enable early disease detection in order to improve patient survival outcomes for the most challenging cancers,” said Harmeet Dhani, MD, MSc, Medical Director at Biological Dynamics. “Pancreatic and lung cancers are two of the deadliest cancers in the U.S., as they are often diagnosed in late stages, making treatment more difficult and lowering survival chances. Our data clearly demonstrate the ExoVerita platform, with its assay applications, can detect important cancers earlier than standard of care approaches using a new generation of biomarkers and technology. Surveillance of high cancer risk individuals with these new methods should proceed.”

Related Links:
Biological Dynamics 


Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Verification Panels for Assay Development & QC
Seroconversion Panels
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
Influenza Virus Test
NovaLisa Influenza Virus B IgM ELISA
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.