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
INTEGRA BIOSCIENCES AG

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
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
CMV CLIA Diagnostic
CLIA CMV IgA Screen Group
Gold Member
Aspiration System
VACUSAFE
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
Illustration of CNF-sheet-mediated membrane fusion between an extracellular vesicle and a lipid nanoparticle carrying molecular beacons for internal microRNA detection. (Image Credit: Kawaguchi et al., Cell Reports Physical Science, 2026. DOI: 10.1016/j.xcrp.2026.103613)

Single-Vesicle Analysis Reveals Tissue-Associated Inflammatory Signatures

Chronic inflammation can persist for months or years when immune cells continue attacking tissues despite the absence of an active threat. It is associated with cancers, brain disorders, autoimmune diseases,... Read more

Hematology

view channel
Image: These new ANC reference ranges can help clinicians more accurately interpret neutrophil counts, reduce unnecessary testing and treatment interruptions, and help support more equitable care. (Photo courtesy of the American Society of Hematology)

New Reference Ranges Clarify Normal Neutrophil Counts in Duffy-Null Patients

Duffy-null status is a common genetic trait associated with naturally lower circulating white blood cell counts. It affects about 10% of the U.S. population and more than 66% of people with African or... Read more

Immunology

view channel
Image: Study design and collection of lower respiratory tract lining fluid (RTLF) using the PExA instrument. (Aguilera K, Hober A, Greilert Norin N, et al. eBioMedicine, 2026. doi:10.1016/j.ebiom.2026.106538)

Exhaled Breath Particles Reveal Virus-Specific Antibodies in the Lower Airways

Respiratory viruses such as influenza virus, SARS-CoV-2, and respiratory syncytial virus (RSV) require immune protection across the airway mucosa. Antibodies in the respiratory tract lining are important... Read more

Microbiology

view channel
Image: Four-quadrant streaking of fecal samples on chromogenic UTI agar shows various patterns of relative bacterial species abundance. The assorted shapes of the pinkish colonies indicate different E. coli strains. (Photo courtesy of Sokurenko Lab)

Stool Testing Predicts UTI Risk and Guides Antibiotic Selection

Urinary tract infections (UTIs) are a common reason for antibiotic prescribing in general medical practice and can be painful in postmenopausal women, sometimes progressing to kidney infection or life-threatening... Read more

Pathology

view channel
AI: Artificial intelligence; CNN: Convolutional neural networks; ResNet: Residual neural network. (Xing-hua Gao from The First Hospital of China Medical University, China Image Source Link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004154~deep-learning-based-computational-pathology-technologies)

Review Highlights Progress and Validation Needs for AI in Digital Pathology

Pathology remains the gold standard for disease diagnosis, but clinical laboratories face growing demands for faster, more reproducible diagnostic and prognostic workflows. Digital pathology based on whole-slide... Read more

Industry

view channel
Image: Siemens Healthineers has begun carving out its in vitro diagnostics business as a standalone company named Olyrian Diagnostics (Photo courtesy of Siemens Healthineers)

Siemens Healthineers Begins Transition Toward Standalone Olyrian Diagnostics Business

Siemens Healthineers has begun carving out its in vitro diagnostics business, which will operate as Olyrian Diagnostics. The new name will be introduced in stages as the business prepares to become a standalone... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.