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
RANDOX LABORATORIES

Download Mobile App




Mouse Biomarker Predicts Lethality of Human Prostate Cancer

By LabMedica International staff writers
Posted on 30 Jan 2019
Researchers have demonstrated the relevance of a prostate cancer biomarker found in a genetically engineered mouse model to the diagnosis and monitoring of the progress of the disease in humans.

Investigators at Rutgers University (New Brunswick, NJ, USA) reported in the December 5, 2018, online edition of the journal Nature Communications that they had elucidated cell-intrinsic drivers of metastatic prostate cancer progression through analyses of genetically engineered mouse models (GEMM) and correlative studies of human prostate cancer. More...
Expression profiling of lineage-marked cells from mouse primary tumors and metastases defined a signature of de novo metastatic progression.

Cross-species master regulator analyses comparing this mouse signature with a comparable human signature identified conserved drivers of metastatic progression with demonstrable clinical and functional relevance. In particular, nuclear receptor binding SET Domain Protein 2 (NSD2) was robustly expressed in lethal prostate cancer in humans, while its silencing inhibited metastasis of tumor transplants in mice.

These findings suggested that cross-species investigations based on analyses of de novo metastasis in GEMMs could be broadly used to elucidate mechanisms of metastatic progression and identify potential new therapeutic opportunities for treatment of lethal cancer.

"Currently, when a patient is diagnosed with prostate cancer, physicians can determine how advanced a tumor is but not whether the patients' cancer will spread," said contributing author Dr. Antonina Mitrofanova, assistant professor of biomedical and health informatics at Rutgers University. "If we can determine whether a patient's cancer is likely to spread at the time of diagnosis, we can start them on a targeted treatment plan as soon as possible to decrease the likelihood of their cancer spreading."

Related Links:
Rutgers University


New
Gold Member
Pre- Eclampsia Control
Acusera Pre-Eclampsia Control
Online QC Software
Acusera 24•7
Automated Urinalysis Solution
UN-9000
HIV-1 Molecular Diagnostic Assay
AltoStar HIV RT-PCR Kit 1.5
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

Molecular Diagnostics

view channel
Image Credit: Shutterstock

Ultrasensitive ctDNA Assay Detects MRD in Breast, Colorectal, Renal Cancers

Minimal residual disease testing is increasingly used to guide adjuvant therapy and surveillance in solid tumors, but detecting very low levels of circulating tumor DNA remains challenging in routine practice.... Read more

Microbiology

view channel
Image: New EMBL-led research identifies a robust gut microbiome signature linked to colorectal cancer, consistent across populations, sequencing methods & age groups, and tied to lower dietary fiber intake. (Photo courtesy of Daniela Velasco/EMBL)

Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer

Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.