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




High Levels of Biomarker Protein Indicate Poor Prognosis for Cancer Patients

By LabMedica International staff writers
Posted on 15 Mar 2017
The surface biomarker protein CD151 has been linked to a poor prognosis for patients suffering from high-grade serous ovarian cancer (HGSC), the most common and lethal subtype of the disease.

CD151 a member of the transmembrane four superfamily, also known as the tetraspanin family. More...
These are mainly cell-surface proteins characterized by the presence of four hydrophobic domains. These proteins mediate signal transduction events that play a role in the regulation of cell development, activation, growth, and motility. CD151 is involved in cellular processes including cell adhesion and may regulate integrin trafficking and/or function. This protein enhances cell motility, invasion, and metastasis of cancer cells.

Investigators at University Health Network performed genome-wide RNAi screens and comprehensive expression analysis of cell-surface markers on a panel of cell lines derived from 40 HGSC patient tumor samples to identify genes that were critical to their survival.

The investigators found that CD151 contributed to survival of a subset of HGSC cell lines associated with a transcriptional program mediated by the proteins ZEB1 (Zinc finger E-box-binding homeobox 1) and ZEB2 (Zinc finger E-box-binding homeobox 2) and supported the growth of HGSC tumors.

Following up, the investigators analyzed tissue samples from a group of approximately 1,000 HGSC patients and found that high levels of CD151 correlated with poor prognosis.

"Ovarian cancer is many diseases," said first author Dr. Mauricio Medrano, postdoctoral researcher at University Health Network. "By identifying CD151 and its underlying role in cancer cell survival, we hope to develop a therapy to target it. As a marker for poor prognosis, with further research, there is the potential to develop a clinical screening tool to help personalize cancer treatment for patients. For the scientific community our study provides a lot of new information about other possible targets, not only CD151 that could be important and can provide new ideas for how to target ovarian cancer."


Gold Member
Collection and Transport System
PurSafe Plus®
POC Helicobacter Pylori Test Kit
Hepy Urease Test
New
Gold Member
Genetic Type 1 Diabetes Risk Test
T1D GRS Array
Anterior Nasal Specimen Collection Swabs
53-1195-TFS, 53-0100-TFS, 53-0101-TFS, 53-4582-TFS
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.