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
ZeptoMetrix an Antylia scientific company

Download Mobile App




MicroRNA-Based Test Identifies 12 Cancers Simultaneously Across Any Stage

By LabMedica International staff writers
Posted on 14 Oct 2024

Cancer survival rates drastically differ depending on when the disease is diagnosed, with a 90% survival rate for early-stage detection compared to just 10% for late-stage diagnosis. More...

Screening remains the most effective method to catch cancer early, targeting individuals without current symptoms. However, screening is only available for four types of cancer and typically focuses on just one cancer at a time. Despite medical advances, nearly half of all cancers are still detected at advanced stages. Moreover, screening often yields low specificity, producing 18 false positives for every accurate diagnosis. This not only causes significant stress for patients but also leads to costly follow-up tests to confirm the diagnosis. Now, a new blood-based, multi-cancer diagnostic test aims to detect 12 of the deadliest and most common cancers at an early stage, before symptoms appear.

Developed by scientists at the University of Southampton (Southampton, UK), the test, named miONCO, holds the potential to revolutionize cancer detection. It is designed to identify cancers at early stages, offering hope for more effective treatments and earlier interventions for millions of people. miONCO was created using clinical data from 20,000 cancer patients and builds on the PCR technology refined during the COVID-19 pandemic. Initially designed to detect breast cancer, miONCO has now been expanded to test for 12 of the most prevalent cancers, including lung, breast, prostate, pancreatic, colorectal, ovarian, liver, brain, esophageal, bladder, bone and soft tissue sarcoma, and gastric cancer.

This test utilizes a combination of biomarkers and artificial intelligence (AI) to simultaneously detect all 12 cancers at any stage, using only 10 to 15 drops of blood. miONCO boasts a 99% accuracy rate with an exceptionally low false positive rate, correctly identifying 50 cancers for every false positive. This represents a major advancement over current screening methods. The scientists are currently conducting further studies to enhance the test, aiming to make it faster and more affordable, with a target price of GBP 120 per test. The ongoing study will assess 8,000 samples from a diverse group of individuals to ensure the test's reliability across different genders, ethnicities, and backgrounds.

“This test has the potential to save many lives by catching cancers much earlier than currently possible, making it a real game-changer,” said Professor Paul Skipp from the University of Southampton who co-founded the test.

Related Links:
University of Southampton
Xgenera


Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Verification Panels for Assay Development & QC
Seroconversion Panels
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Spinal Fluid Cell Count Control
Spinalscopics
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.