Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Blood Test Enables Early Detection of Multiple Cancers

By LabMedica International staff writers
Posted on 13 Jan 2025

Catching cancers early increases the chances of successful treatment and is also more cost-effective for healthcare systems. More...

"Liquid biopsies" have emerged as a promising research focus in recent years as a less invasive alternative to traditional diagnostic tests. These biopsies show potential for detecting cancers, even in their early stages. However, most liquid biopsy tests currently available only assess one or two cancer DNA features, which limits their ability to detect cancer effectively. Researchers have now introduced a new blood test, powered by machine learning, which shows great potential for detecting multiple cancer types at their earliest stages, when the disease is most difficult to identify.

Developed by a team of researchers at the University of Oxford (Oxford, UK), this new liquid biopsy test can detect six types of cancer at an early stage. Named TriOx, the test analyzes various features of DNA in the blood to identify subtle cancer signs, offering a fast, sensitive, and minimally invasive alternative to current detection methods. In a study published in Nature Communications, the researchers combined a cutting-edge DNA analysis technique known as TAPS with machine learning to analyze and combine several key features from circulating blood DNA. This approach enhances the detection of the small fraction of cancer DNA, making TriOx highly sensitive for identifying cancer.

The TriOx test was assessed using blood samples from patients with and without cancer, who had been referred by their GP due to symptoms that might indicate cancer, as well as from asymptomatic individuals without cancer. The test demonstrated its ability to detect cancers, including in the early stages, across six cancer types. It also distinguished between individuals with and without cancer with 94.9% sensitivity and 88.8% specificity. This high accuracy would help ensure that patients without cancer are not subjected to unnecessary procedures, while those with cancer can receive treatment sooner.

“Our new test brings together the best of cutting-edge science and machine learning. It allows us to look at the whole cancer genome, improving reliability,” said Professor Anna Schuh, Professor of Molecular Diagnostics at the University of Oxford and lead researcher on the study. “While this test is still early in development, with further work, we believe it has the potential to improve survival rates for millions worldwide, by enabling implementation of routine blood tests to catch cancer earlier, when it’s easier to treat.”

“Many cancers, such as pancreatic and ovarian, often go unnoticed until they’ve advanced, when treatment is more difficult and less effective,” added Dr. Dimitris Vavoulis, University of Oxford and co-lead researcher. Current screening methods are limited to a few cancers and are often invasive, deterring many from regular checks. Although our approach is still early in development, we envision that a simple blood draw could eventually be all that’s needed to screen for multiple cancers, giving patients and doctors a faster, more convenient tool to stay ahead of the disease.”


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Immunofluorescence Analyzer
IFA System
Gold Member
Flocked Fiber Swabs
Puritan® Patented HydraFlock®
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.