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.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Gene Variants Predict Child Neuroblastoma Risk

By LabMedica International staff writers
Posted on 02 Oct 2017
Print article
Image: A photomicrograph of a typical neuroblastoma with rosette formation (Photo courtesy of the U.S. National Cancer Institute).
Image: A photomicrograph of a typical neuroblastoma with rosette formation (Photo courtesy of the U.S. National Cancer Institute).
Potential biomarkers predicting a child's risk for developing neuroblastoma are linked to common variants in the MMP20 (matrix metalloproteinase-20) gene on chromosome 11q.

Investigators at Children's Hospital of Philadelphia (PA, USA) used a genome-wide association study (GWAS) to identify common variants at chromosome locus 11q22.2 within MMP20 that associated with neuroblastoma cases harboring an 11q deletion in 113 European-American cases and 5109 ancestry-matched controls. The association was replicated in 44 independent cases and 1902 controls.

"These inherited variants predispose to 11q deletions, which are a strong risk factor," said Dr. Hakon Hakonarson, director of the center for applied genomics at Children's Hospital of Philadelphia.

"We already knew that 11q deletions are biomarkers that predict poor outcomes in neuroblastoma," said contributing author Dr. John M. Maris, pediatric oncologist at Children's Hospital of Philadelphia. "This new research helps us to more precisely predict how a neuroblastoma tumor will behave, so it improves our diagnostic capabilities."

The study was published in the September 18, 2017, online edition of the journal Nature Communications.

Related Links:
Children's Hospital of Philadelphia

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
New
Gold Member
Liquid Ready-To-Use Lp(a) Reagent
Lipoprotein (a) Reagent

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: The AI predictive model identifies the most potent cancer killing immune cells for use in immunotherapies (Photo courtesy of Shutterstock)

AI Predicts Tumor-Killing Cells with High Accuracy

Cellular immunotherapy involves extracting immune cells from a patient's tumor, potentially enhancing their cancer-fighting capabilities through engineering, and then expanding and reintroducing them into the body.... Read more

Microbiology

view channel
Image: The T-SPOT.TB test is now paired with the Auto-Pure 2400 liquid handling platform for accurate TB testing (Photo courtesy of Shutterstock)

Integrated Solution Ushers New Era of Automated Tuberculosis Testing

Tuberculosis (TB) is responsible for 1.3 million deaths every year, positioning it as one of the top killers globally due to a single infectious agent. In 2022, around 10.6 million people were diagnosed... Read more

Pathology

view channel
Image: The new AI tool can help beat brain tumors (Photo courtesy of Crystal Light/Shutterstock)

New AI Tool Classifies Brain Tumors More Quickly and Accurately

Precision in diagnosing and categorizing tumors is essential for delivering effective treatment to patients. Currently, the gold standard for identifying various types of brain tumors involves DNA methylation-based... Read more