Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Vicotex

Download Mobile App




DNA Methylation Pattern Predicts Remission in Rare Juvenile Leukemia

By LabMedica International staff writers
Posted on 25 Dec 2017
A team of pediatric cancer researchers has shown that determination of genomic DNA methylation patterns is predictive of outcome in cases of the rare childhood cancer juvenile myelomonocytic leukemia.

Juvenile myelomonocytic leukemia (JMML) is an aggressive form of childhood leukemia caused by mutations in the Ras pathway, which strikes approximately 50 children, typically under the age of four, in the United States each year. More...
The only recognized treatment is bone marrow transplant, an intensive therapy with serious long-term side effects. Furthermore, transplant is effective in only about half of JMML patients, with the others relapsing within a few years. On the other hand, in a few cases, children with JMML have spontaneously gone into remission, but it has not been possible to predict at diagnosis which patients would not require drastic treatment.

Investigators at the University of California, San Francisco (USA) hypothesized that DNA methylation patterns would help predict disease outcome in JMML. The investigators performed genome-wide DNA methylation profiling in a cohort of 39 patients and then validated the results in an additional group of 40 patients.

Results of the DNA methylation survey showed that patients fell into three groups, with high, intermediate, or low levels of DNA methylation. Furthermore, they showed that patients' methylation levels mapped closely onto their treatment outcomes: relapse occurred in 70% of patients with the highest methylation scores (21/30), 41% of patients with intermediate methylation scores (9/22), and only 3% of patients with the lowest methylation scores (1/29).

By applying the DNA methylation approach the investigators found that 14 of the 15 known cases of spontaneous recovery from JMML mapped closely onto the low-methylation group (and closest to healthy control subjects). These results suggested that DNA methylation patterns in JMML were predictive of outcome and could identify the patients most likely to experience spontaneous resolution.

"This data provides important information that will help clinicians decide how intensively and swiftly to treat their patients," said senior author Dr. Mignon Loh, professor of pediatric molecular oncology at the University of California, San Francisco. "Our challenge now is to get novel therapeutics into the clinic to improve outcomes for those with the most aggressive disease and hopefully translate our methylation data into a clinically useful test that can spare a few children from receiving a bone marrow transplant."

The DNA methylation study was published in the December 19, 2017, online edition of the journal Nature Communications.

Related Links:
University of California, San Francisco


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
NEW PRODUCT : SILICONE WASHING MACHINE TRAY COVER WITH VICOLAB SILICONE NET VICOLAB®
REGISTRED 682.9
Automated Clinical Chemistry Analyzer
Envoy 500+
Automatic CLIA Analyzer
Shine i6000
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: Tracking blood test trends alongside unexplained weight loss may help identify patients at increased cancer risk and support earlier investigation (Image Credit: 123RF)

Blood Test Patterns Improve Cancer Risk Assessment in Primary Care

Unexplained weight loss is a common but nonspecific presentation in primary care that can precede several types of cancer, making referral decisions difficult. Routine blood tests may produce borderline... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image Credit: Adobe Stock

Machine Learning Cytology Tool Improves Cancer Cell Identification

Cytological screening remains central to early cancer detection, but its accuracy depends heavily on expert interpretation of stained cells. Under conventional microscopy, malignant and reactive cells... 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: The acquisition adds Convergent Genomics’ UroAmp platform and proprietary urinary tumor DNA technology to Veracyte’s portfolio (Photo courtesy of Convergent Genomics)

Veracyte Acquisition Expands Urine-Based Bladder Cancer Monitoring Capabilities

Veracyte, Inc. has acquired Convergent Genomics, expanding its urology diagnostics offerings with the company’s UroAmp platform and proprietary urinary tumor DNA (utDNA) technology. UroAmp has been clinically... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.