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

Download Mobile App




Liquid Biopsy More Effective for Analyzing Tumor Drug Resistance Mutations

By LabMedica International staff writers
Posted on 16 Sep 2019
Results published in a recent paper suggested that liquid biopsy – specifically analysis of cell-free tumor DNA (ctDNA) – may capture the genetic diversity of acquired drug resistance better than classical surgical biopsy of the tumor.

The effectiveness of ctDNA versus standard single-lesion tumor biopsies has not been directly compared in larger-scale prospective cohorts of patients receiving targeted therapy. More...
Therefore, investigators at the Broad Institute of MIT and Harvard (Boston MA, USA) and their colleagues undertook a prospective study of a cohort of 42 patients with molecularly defined gastrointestinal cancers and acquired resistance to targeted therapy.This study was included in a five-year collaboration that analyzed tumors before and after the onset of drug resistance.

Tumors were analyzed using both liquid and tissue biopsies procedures. The investigators employed a suite of computational tools developed at the Broad Institute, known as PhylogicNDT, to analyze tumor DNA and resistance mutations.

Direct comparison of ctDNA versus tumor biopsy revealed that ctDNA more frequently identified clinically relevant resistance alterations and multiple resistance mechanisms, detecting resistance alterations not found in the matched tumor biopsy in 78% of cases. Whole-exome sequencing of serial ctDNA, tumor biopsies and rapid autopsy specimens elucidated substantial geographic and evolutionary differences across separate tumors.

"This study is the largest to date to directly compare liquid biopsy to tumor biopsy in the setting of cancer resistance," said senior author Dr. Ryan Corcoran, assistant professor of medicine at Harvard Medical School. "Our findings suggest that liquid biopsy may be the preferred clinical modality for assessing how patients' tumors have evolved after they have become resistant to therapy."

The investigators proposed that the data collected in this study indicated that acquired resistance was frequently characterized by profound tumor heterogeneity, and that the emergence of multiple resistance alterations in an individual patient may represent the “rule” rather than the “exception.”

The study was published in the September 9, 2019, online edition of the journal Nature Medicine.

Related Links:
Broad Institute


Gold Member
Fibrinolysis Assay
HemosIL Fibrinolysis Assay Panel
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Pipette
Accumax Smart Series
Gold Member
Immunochromatographic Assay
CRYPTO Cassette
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

Immunology

view channel
Image: Whole-genome sequencing enables broader detection of DNA repair defects to guide PARP inhibitor cancer therapy (Photo courtesy of Illumina)

Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment

Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more

Pathology

view channel
Image: AI models combined with DOCI can classify thyroid cancer subtypes (Photo courtesy of T. Vasse et al., doi 10.1117/1.BIOS.3.1.015001)

AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery

Thyroid cancer is the most common endocrine cancer, and its rising detection rates have increased the number of patients undergoing surgery. During tumor removal, surgeons often face uncertainty in distinguishing... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.