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
LGC Clinical Diagnostics

Download Mobile App




Molecular Technology Identifies Potential Biomarker for Cancer

By LabMedica International staff writers
Posted on 26 Apr 2018
For patients with early-stage non-small cell lung cancer (NSCLC), the only recommended treatment option is surgery. More...
After complete resection patients with disease at the same stage experience different outcomes, and within five years a third of patients relapse.

Prognostic biomarkers are urgently needed to more accurately predict recurrence following surgery and potentially guide the decision to administer adjuvant chemotherapy for high-risk patients. The use of droplet digital polymerase chain reaction (ddPCR) technology in the clinic is increasing due to the technology's ability to reliably detect and quantify these biomarkers, as well as ddPCR's technical simplicity, speed, and cost-effectiveness.

Scientists collaborating with the National Cancer Institute (Bethesda, MD, USA) evaluated the prognostic significance of two biomarkers, namely Homeobox A9 (HOXA9) promoter methylation and blood vessel invasion (BVI), for risk stratification of stage I lung adenocarcinoma patients. The type of biospecimens and the choice of assay platform are key issues to foster translation of biomarkers to the clinic. The team demonstrated the application of a ddPCR-based assay to analyze HOXA9 promoter methylation in formalin-fixed, paraffin-embedded (FFPE) tumor specimens, generated during routine pathologic assessment of resected patients.

The investigators used 177 formalin-fixed, paraffin-embedded (FFPE) tumor samples, and showed that high methylation was associated with worse cancer-specific survival (Hazard Ratio [HR], 3.37) and identified high-risk stage IA and IB patients. Importantly, addition of this molecular marker improved a risk model comprising clinical and pathologic parameters. HOXA9 promoter methylation was associated with a transcriptome signature enriched in genes marked by Polycomb in Embryonic Stem Cells, a signature previously associated with poor differentiation and worse overall patient survival. Moreover, BVI was independently associated with poor outcome (HR, 2.62) and a score that combined BVI with HOXA9 promoter methylation further stratified high-risk patients.

The authors concluded that their results support the use of ddPCR to quantify HOXA9 promoter methylation and BVI determination from routine pathology FFPE specimens, to identify patients at high risk of recurrence. The findings could help inform patient management in prospective clinical trials that evaluate the benefit of adjuvant chemotherapy in early-stage invasive lung adenocarcinoma to prevent recurrence. The study was presented at the American Association for Cancer Research (AACR) Annual Meeting, held April 14-18, 2018, in Chicago, IL, USA.

Related Links:
National Cancer Institute


Platinum Member
ADAMTS-13 Protease Activity Test
ATS-13 Activity Assay
Verification Panels for Assay Development & QC
Seroconversion Panels
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Nasopharyngeal Applicator
CalgiSwab 5.5" Sterile Mini-tip Calcium Alginate Nasopharyngeal Swab w/Aluminum HDLE
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: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.