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
Vicotex

Download Mobile App




Likelihood of Lymphoma Recurrence Can Be Predicted by Monitoring Blood Levels of Circulating Tumor DNA

By LabMedica International staff writers
Posted on 14 Apr 2015
A recent paper described the measurement of circulating tumor DNA (ctDNA) to diagnose patients with diffuse large B-cell lymphoma (DLBCL) and to predict their likely response to treatment.

DLBCL is a treatable form of cancer, but when treatment fails, outcome is poor. More...
Although imaging can help to identify patients at risk of treatment failure, they are often imprecise, and radiation exposure is a potential health risk. Investigators at the [US] National Cancer Institute (Bethesda, MD, USA) examined the possibility that ctDNA encoding the clonal immunoglobulin gene sequence could be detected in the serum of patients with DLBCL and used to predict clinical disease recurrence after chemotherapeutic treatment.

To this end the investigators obtained serial serum samples and concurrent CT scans at specified times during most treatment cycles and up to five years of follow-up from 126 patients who had no evidence of indolent lymphoma and were previously untreated. The patients were then assigned to one of three treatment protocols between May 1993, and June 2013.

Serum samples were tested retroactively using next-generation DNA sequencing techniques to analyze cell-free circulating tumor DNA. Results revealed that among the 107 patients who achieved complete remission following treatment, those who developed detectable ctDNA during surveillance were over 200 times more likely to have their disease progress than those who did not have detectable ctDNA. The investigators also found that measuring ctDNA enabled the detection of cancer recurrence a median of 3.4 months before clinical evidence of disease. Furthermore, following an approach known as interim monitoring, ctDNA analysis was able to predict which patients would not respond to therapy as early as their second cycle of treatment.

“Even with frequent CT imaging, administered for a median of 11 times per patient in our study, early disease detection was suboptimal. Indeed, a recent study suggested that surveillance CT scans might be no better than an up-to-date patient history and physical exams, supporting the need for more effective monitoring technologies,” said senior author Dr. Wyndham Wilson, senior investigator in the lymphoid malignancies branch of the National Cancer Institute. . “Interim ctDNA is therefore a promising biomarker to identify patients at high risk of not responding to treatment for their disease.”

Related Links:
[US] National Cancer Institute



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
New
Gold Member
Pre- Eclampsia Control
Acusera Pre-Eclampsia Control
Immunofluorescence Analyzer
IFA System
Chromogenic Culture System
InTray™ COLOREX™ ECC
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: Researchers developed three mathematical biomarkers from routine PSA blood tests that may help predict early prostate cancer treatment outcomes and personalize adaptive therapy (Image Credit: Adobe Stock)

Mathematical Biomarkers Use Routine Blood Tests to Guide Adaptive Prostate Cancer Therapy

Personalizing systemic therapy for prostate cancer remains challenging because tumors can evolve under treatment pressure, driving resistance and early relapse. Continuous high-dose regimens may initially... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.