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
INTEGRA BIOSCIENCES AG

Download Mobile App




Blood Test Can Effectively Rule Out Breast Cancer

By LabMedica International staff writers
Posted on 07 Nov 2017
Breast density is associated with reduced imaging resolution in the detection of breast cancer. More...
Breast density is a radiologic phenomenon that is not discernable by palpation; it is a radiologist’s assessment. Imaging rays permeate dense breast tissue in a more opaque manner, thereby reducing image resolution.

A biochemical approach that is not affected by density would provide an important tool to healthcare professionals who are managing women with dense breasts and suspicious imaging findings. A combinatorial proteomic biomarker assay (CPBA), when integrated with patient-specific clinical data to produce a diagnostic score can reliably detect breast cancer (BC) as an adjunctive tool to imaging.

Scientists working for Provista Diagnostics, Inc (New York, NY, USA) evaluated the performance of Provista’s Videssa Breast among 545 women, ages 25 to 50, with abnormal or difficult-to-interpret imaging (BI-RADS 3 and 4). Participants were enrolled at 13 clinical sites across the USA. All imaging modalities such as mammography, 3D tomography, ultrasound and MRI were permitted in the trial for the assessment of BI-RADS 3 or 4.

The team tested serum samples for Serum Protein Biomarkers (SPB), and Tumor Associated Autoantibodies (TAAb). Samples were analyzed for the relative presence or absence of TAAb by indirect enzyme-linked immunosorbent assay (ELISA) and all plates were read using a Meso Scale Discovery Sector S600 plate reader. The serum samples were tested with Videssa Breast. Briefly, SPB and TAAb data are combined with patient age into a logistic regression algorithm, the final output being a high protein signature (HPS) or low protein signature (LPS).

The scientists reported that for the Videssa Breast assay, the sensitivity and specificity in the dense breast group was 88.9% and 81.2% respectively, and 92.3% and 86.6% in the non-dense group. The differences were not statistically significant. The negative predictive value (NPV) was 99.1% in women who had dense breasts and 99.3% in women with non-dense tissue, providing confirmation that when a woman receives a negative test result, she does not have breast cancer.

Elayne Arterbery, MD, a radiation oncologist, who was a principal investigator on the Provista studies, said, “ This study also validates the scientific promise and the growing role biomarkers have in addressing diagnostic challenges for women with dense breasts, and the merits of further studies to help expand how we put that science to work to benefit women.” The study was published on October 25, 2017, in the journal Public Library of Science ONE.

Related Links:
Provista Diagnostics


Platinum Member
ADAMTS-13 Protease Activity Test
ATS-13 Activity Assay
Verification Panels for Assay Development & QC
Seroconversion Panels
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
Blood Ammonia Test Analyzer
DRI-CHEM NX10N
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.