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




Study Finds Urine Biomarker Score Improves Five-Year Cancer Risk Prediction

By LabMedica International staff writers
Posted on 12 Nov 2026

Cancer risk stratification in healthy adults often relies on established factors such as age and smoking history. More...

However, several cancers highlighted in the study, including pancreatic, kidney, and brain cancers and lymphoma, lack population-wide screening programs. A new urine biomarker approach now links a three-glycosaminoglycan profile with improved prediction of cancer risk over five years.

The biomarker approach, known as the GAGome score, was developed by Elypta and is based on a urine profile of three glycosaminoglycan disaccharides. Elypta also sponsored the study. Glycosaminoglycans (GAGs) are sugar chains found in the tissue matrix that are involved in cancer-related biological processes. Researchers measured three chondroitin sulfate disaccharides in 24-hour urine samples using mass spectrometry.

The peer-reviewed study, published in Cancer Epidemiology, Biomarkers & Prevention, included 5,436 adults. Researchers from Lund University, the University of Liverpool, Dana-Farber Cancer Institute, and Elypta analyzed samples from the Dutch Lifelines cohort, which includes 124,436 adults. The retrospective, pre-registered study (NCT05235009) included all 827 participants who were subsequently diagnosed with cancer and a random sample of 4,609 participants who were not.

When combined with established risk factors, the GAGome score classified an estimated 13–23% of participants into a pre-specified high-risk group. This group accounted for 54% of cancers diagnosed within five years and 54% of in situ carcinomas, while approximately 17% of participants who remained cancer-free were also classified as high risk. The score performed at least as well in adults younger than 50 and showed its strongest performance for cancers without population screening programs.

The GAGome score requires independent prospective validation before it can be considered for clinical use. Elypta also offers the MIRAM GAGome Kit for quantification of urine chondroitin sulfate disaccharides (FRUOU-CS) by ultra-high-performance liquid chromatography–tandem mass spectrometry. The kit is intended for Research Use Only and is not for use in diagnostic procedures.

“Today we choose who to screen largely by age and smoking history. This study shows that a biological signal in urine adds information about who is at higher risk of cancer, including at the earliest stages. It uses just three GAGs, so we see it as a proof of concept for our cancer risk program, which builds on broader GAG panels and also plasma,” said Karl Bergman, CEO of Elypta. 

“The association was independent of established risk factors and consistent across cancer stages, which makes this dynamic biological marker worth testing prospectively,” said John Field, Professor of Molecular Oncology at the University of Liverpool, co-author of the study.

Related Links
Elypta
University of Liverpool


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Automated Urinalysis Solution
UN-9000
Gold Member
Quantitative POC Immunoassay Analyzer
EASY READER+
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

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: The panel expands Cepheid’s respiratory testing portfolio on the GeneXpert platform, offering laboratories greater flexibility in selecting tests based on clinical needs. (Photo courtesy of Cepheid)

Multiplex PCR Test Gains CE Marking to Support Respiratory Infection Diagnosis

Acute respiratory infections often present with overlapping symptoms, making it difficult to distinguish between viral and bacterial causes. Seasonal surges of influenza-like illness in Europe further... Read more

Microbiology

view channel
Image: VITEK PRO combines microbial identification and antimicrobial susceptibility testing on a single platform to support routine microbiology workflows and antibiotic selection. (Photo courtesy of bioMérieux)

Automated Microbial Identification and Susceptibility System Gains FDA Clearance

Antimicrobial resistance (AMR) is a leading global public health threat, causing an estimated 1.27 million deaths annually. The growing challenge of diagnosing and treating resistant infections highlights... 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: The collaboration aims to expand access to the technology through a regulated clinical diagnostics pathway in Japan.

Partnership Aims to Bring Blood-Based Alzheimer’s Testing to Japan

Alzheimer’s disease remains a growing diagnostic challenge as populations age and cognitive impairment becomes more common. In Japan, government-supported estimates project that approximately 4.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.