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
Sign In
Advertise with Us
RANDOX LABORATORIES

BIO-RAD LABORATORIES

Provides full range of instrumentation, reagent kits, software and quality control systems to clinical laboratories. ... read more Featured Products: More products

Download Mobile App




Blood Test Detects Genetic Mutations in Lung Cancer

By LabMedica International staff writers
Posted on 26 Apr 2016
Print article
Image: A droplet digital polymerase chain reaction system (ddPCR) (Photo courtesy of Bio-Rad Laboratories).
Image: A droplet digital polymerase chain reaction system (ddPCR) (Photo courtesy of Bio-Rad Laboratories).
A simple blood test can rapidly and accurately detect mutations in two key genes in non-small-cell lung tumors, demonstrating the test's potential as a clinical tool for identifying patients who can benefit from drugs targeting those mutations.

Non-small-cell lung tumors (NSCLC) are the most common form of lung cancer, diagnosed in more than 200,000 people in the USA each year. An estimated 30% of NSCLC patients have mutations in either of the genes included in a recent study, and can often be treated with targeted therapies.

Oncologists at the Dana-Farber Cancer Institute (Boston, MA, USA) and their associates prospectively enrolled 180 patients with NSCLC, 120 of whom were newly diagnosed, and 60 of whom had become resistant to a previous treatment, allowing the disease to recur. Participants' cell-free DNA was tested for mutations in the epidermal growth factor receptor (EGFR) and the Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS) genes, and for a separate mutation in EGFR that allows tumor cells to become resistant to front- line targeted drugs.

The test was performed with a technique known as droplet digital polymerase chain reaction (ddPCR, Bio-Rad; Hercules, CA, USA), which counts the individual letters of the genetic code in cell-free DNA to determine if specific mutations are present. Each participant also underwent a conventional tissue biopsy to test for the same mutations. The results of the liquid biopsies were then compared to those of the tissue biopsies. Turnaround time for tissue genotyping was measured from the date of the initial genotyping order until the reporting of the final genotyping result.

The data showed that liquid biopsies returned results much more quickly. The median turnaround time for liquid biopsies was 3 days, compared to 12 days for tissue biopsies in newly diagnosed patients and 27 days in drug-resistant patients. Liquid biopsy was also found to be highly accurate. In newly diagnosed patients, the "predictive value" of plasma ddPCR was 100% for the primary EGFR mutation and the KRAS mutation, meaning that a patient who tested positive for either mutation was certain to have that mutation in his or her tumor. For patients with the EGFR resistance mutation, the predictive value of the ddPCR test was 79%, suggesting the blood test was able to find additional cases with the mutation that were missed using standard biopsies.

Lynette Sholl, MD, a pathologist, said, “The study data are compelling. We validated the authors' findings by cross-comparing results from liquid and tissue biopsies in 34 NSCLC patients. To work as a real-world clinical test, liquid biopsy needs to provide reliable, accurate data and be logistically practical. That's what we've seen with the ddPCR-based blood test. The test has great utility both for patients newly diagnosed with NSCLC and for those with a recurrence of the disease. It's fast, it's quantitative as it indicates the amount of mutant DNA in a sample, and it can be readily employed at a cancer treatment center.” The study was published on April 7, 2016, in the journal JAMA Oncology.

Related Links:
Dana-Farber Cancer Institute
Bio-Rad

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Real-time PCR System
GentierX3 Series

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: Exosomes can be a promising biomarker for cellular rejection after organ transplant (Photo courtesy of Nicolas Primola/Shutterstock)

Diagnostic Blood Test for Cellular Rejection after Organ Transplant Could Replace Surgical Biopsies

Transplanted organs constantly face the risk of being rejected by the recipient's immune system which differentiates self from non-self using T cells and B cells. T cells are commonly associated with acute... Read more

Microbiology

view channel
Image: Microscope image showing human colorectal cancer tumor with Fusobacterium nucleatum stained in a red-purple color (Photo courtesy of Fred Hutch Cancer Center)

Mouth Bacteria Test Could Predict Colon Cancer Progression

Colon cancer, a relatively common but challenging disease to diagnose, requires confirmation through a colonoscopy or surgery. Recently, there has been a worrying increase in colon cancer rates among younger... Read more

Pathology

view channel
Image: A new study has identified patterns that predict ovarian cancer relapse (Photo courtesy of Cedars-Sinai)

Spatial Tissue Analysis Identifies Patterns Associated With Ovarian Cancer Relapse

High-grade serous ovarian carcinoma is the most lethal type of ovarian cancer, and it poses significant detection challenges. Typically, patients initially respond to surgery and chemotherapy, but the... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.