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




Biomarker Identifies Breast Cancers with Poor Prognoses

By LabMedica International staff writers
Posted on 10 Sep 2014
Breast cancers are stratified into distinct subtypes, which influence therapeutic responsiveness and patient outcome, and those with luminal breast cancers are often associated with a better prognosis relative to other subtypes, but subsets of patients with luminal breast cancer remain at increased risk of cancer-related death.

A protein has been uncovered that shows promise as a biomarker to identify breast cancers with poor prognoses as neoplasms are deadly in large part due to its ability to metastasize, to travel from one organ or tissue type to another and malignantly spread anew and the vast majority of cancer deaths are associated with metastasis. More...


Scientists at McGill University (Montreal, QC, Canada) investigated the role of the Src (homology 2 domain containing) transforming protein 1 isoform p66ShcA in breast cancer. The team used different cell lines, mouse models, immunoblotting, enzyme-linked immunoassays (ELISA) and quantitative real-time polymerase chain reactions (qRT-PCR). They also performed immunohistochemical and immunohistofluorescent staining of paraffin- and Optimal Cutting Temperature compound (OCT)-embedded sections. Boyden Chamber Assays and Scratch assays were also carried out.

The team showed that the protein p66ShcA is highly enriched in breast cancers that have undergone epithelial to mesenchymal transition (EMT) and in breast cancer, this process aids metastasis. Epithelial cells line surfaces which come into contact with the environment, such as skin and the gastrointestinal tract. Mesenchymal cells are a type of cell in embryonic tissue and in connective tissue, where they form very loose contacts with one-another. Tumor cells lose mature epithelial characteristics, such as the ability to adhere to their neighbors, and gain those of the mesenchymal cells which enable them to move easily through the cellular matrix and into the blood stream. That enables their metastatic migration to distant organs and tissues.

Josie Ursini-Siegel, PhD, an assistant professor and the lead author, said, “We showed that elevated p66ShcA expression levels are strongly associated with expression of numerous epithelial to mesenchymal transition genes in all breast cancer subtypes. Thus, p66ShcA may serve as one of the first prognostic biomarkers to identify poor outcome breasts cancers regardless of their molecular subtype.” The study was published online on July 28, 2014, in the journal Molecular and Cellular Biology.

Related Links:

McGill University




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
Parainfluenza Virus Test
PARAINFLUENZA ELISA
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.