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




New Test Diagnoses High-Risk Childhood Brain Tumors

By LabMedica International staff writers
Posted on 14 Mar 2025

Medulloblastoma, which originates in the cerebellum, the rear part of the brain, is the most prevalent malignant brain tumor in children and is notoriously difficult to diagnose. More...

Currently, identifying the most aggressive forms of this disease relies on advanced, costly tests available only in a few specialized labs worldwide. Due to the limitations of current diagnostic methods, all children diagnosed with medulloblastoma are treated the same, meaning those with less aggressive forms of the tumor undergo potentially unnecessary and toxic brain radiation and chemotherapy. This approach often results in lasting learning, physical, and emotional disabilities. Conversely, children with the most aggressive forms of the disease may not receive sufficient treatment to cure it. A new test has now been developed that can differentiate between high-risk cases of medulloblastoma, which require radiation therapy, and lower-risk cases that do not, offering the possibility of more personalized treatment options for children affected by this condition.

The new test, developed through a collaboration that included researchers from the University of British Columbia (Vancouver, BC, Canada), employs an antibody-based technique called immunohistochemistry, which is widely available in clinical labs around the world. To create the test, the researchers analyzed a range of data sets, including proteomics (which assesses overall protein expression in tumor tissues) and transcriptomics (which evaluates gene expression in tumor tissues). By using this approach, the team identified a protein named TPD52 that is highly expressed in the most aggressive forms of medulloblastoma. They then screened about 400 medulloblastoma samples for the presence of this protein. The results, published in Clinical Cancer Research, showed that tumors with detectable levels of TPD52 were significantly more likely to behave aggressively and relapse.

“By using a technique that is available in virtually all clinical labs, our new test has the potential to improve the diagnosis and future treatment of medulloblastoma for children in almost every corner of the planet,” said the study’s lead author Dr. Alberto Delaidelli, MD.


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Neonatal Heel Incision Device
Tenderfoot
New
Gold Member
Platelet Function Analyzer
PL-12
Automated Clinical Chemistry Analyzer
Envoy 500+
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 Credit: iStock

Prehospital Blood Test Could Reduce Emergency Transfers for Chest Pain

Chest pain leads to ambulance transport to an emergency department for about 95% of patients, although only a minority have a serious cardiac condition. Troponin testing helps assess heart muscle damage,... Read more

Molecular Diagnostics

view channel
Image: The method combines metagenomic sequencing with computational filtering to identify likely disease-causing bacteria and viruses (Image Credit: iStock)

Computational Filters Enhance Metagenomic Detection of Meningitis and Encephalitis

Infections of the central nervous system, such as meningitis and encephalitis, can be severe and require prompt diagnosis and treatment. Clinicians typically evaluate cerebrospinal fluid alongside symptoms... Read more

Immunology

view channel
Image: Aptiva utilizes particle-based multi-analyte technology (PMAT) (Photo courtesy of Werfen)

Werfen Expands Automated APS Testing with FDA-Cleared and CE-Marked IgA Reagent

Antiphospholipid syndrome (APS) is an autoimmune disorder associated with thrombosis and pregnancy complications, but its symptoms can overlap with those of other conditions, complicating diagnosis.... Read more

Microbiology

view channel
Image: RealTime Labs’ Mycotoxin Extensive Panel measures 31 mold-related toxins across seven toxin classes from a single urine sample (Photo courtesy of RealTime Labs)

New Urine Test Expands Mycotoxin Analysis to 31 Markers for Broader Exposure Assessment

Clinical evaluation of mold exposure increasingly relies on urinary mycotoxin testing, but limited marker coverage and metabolite masking can make results more difficult to interpret. Broader analysis... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image

Collaboration Combines AI Cognitive Assessment and RNA Blood Testing for Earlier Alzheimer’s Detection

Alzheimer’s disease is often identified only after substantial neurodegeneration, partly because current diagnostic pathways are fragmented and difficult to scale. As treatment shifts toward earlier intervention,... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.