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




Aggressive Prostate Cancer Determined by Diagnostic Tool

By LabMedica International staff writers
Posted on 15 May 2012
A nanoparticle test has been developed that distinguishes prostate cancer from normal and benign conditions and has the potential to predict the aggressiveness of prostate cancer quantitatively. More...


A serum gold particle nanoparticle (AuNP) adsorption assay may answer the biggest challenge for cancer biomarker discovery and early cancer detection when the amount of specific molecules that are released from the tumor to the blood is very small.

Scientists at the University of Central Florida (Orlando, USA) who conducted the assay mixed a serum solution with a citrate-protected AuNP solution and the average particle size of the AuNP solution before and after sample incubation is measured by dynamic light scattering (DLS). The gold nanoparticles detect a specific chemical reaction between a prostate tumor and the human immunoglobulin G (IgG), an abundant protein circulating in the blood.

The IgG likes to stick to the surface of the gold nanoparticles to form a protein corona. This corona can be detected by the DLS technique. The investigators found that when cancer cells are present, they can destroy the IgG in the blood, and this specific interaction is picked up by the gold nanoparticles. This simple test can determine quantitatively how aggressive the prostate tumors are and the likelihood they will metastasize. The team tested out the technique on human tissue samples.

The average diameter of the citrate AuNP is 100 nm and the concentration of the nanoparticle is 10 pM and was obtained from Ted Pella Inc. (Redding, CA, USA). Particle size analysis of the assay solutions was conducted using an automatic DLS instrument, NDS1200, from Nano Discovery Inc. (Orlando, FL, USA). Qun Huo PhD, the lead investigator on the project, said, "Our nanoparticles not only seek out a chemical reaction that is specific to prostate cancer, they can also tell us how aggressive the cancerous cells are likely to be, which can give doctors better information to treat their patients." The study was published on March 9, 2012, in the Journal of Translational Medicine.

Related Links:

University of Central Florida


Ted Pella Inc.

Nano Discovery Inc



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
New
Gold Member
Platelet Function Analyzer
PL-12
New
Slide Scanner System
NanoZoomer S540MD
Electrolyte Analyzer
BKE-B
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: The Avantect Pancreatic Cancer Test combines epigenomic, genomic, and glycan biomarkers with machine learning to detect pancreatic cancer-associated signals in blood (Photo courtesy of ClearNote Health)

Multiomic Blood Test Supports Noninvasive Monitoring and Subtyping in Pancreatic Cancer

Pancreatic ductal adenocarcinoma remains difficult to detect early and monitor during treatment, particularly in patients with homologous recombination defects. Clinicians also have limited noninvasive... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image: A new study demonstrates that vascular features in colorectal tumors could serve as prognostic biomarkers of disease outcome. (Image Credit: iStock)

Tumor Blood Vessel Features May Help Predict Colorectal Cancer Survival

Colorectal cancer outcomes vary widely, and tumor biology remains a key determinant of prognosis. Because neoplasms depend on a vascular supply, differences in intratumoral vessels may influence survival.... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.