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




Urine Protein Panels Identify Prostate Cancer and Differentiate between Tumors

By LabMedica International staff writers
Posted on 12 Jul 2016
Print article
Image: A micrograph of a prostate adenocarcinoma, acinar type, the most common type of prostate cancer. Needle biopsy, H&E stain (Photo courtesy of Nephron).
Image: A micrograph of a prostate adenocarcinoma, acinar type, the most common type of prostate cancer. Needle biopsy, H&E stain (Photo courtesy of Nephron).
A noninvasive diagnostic test for prostate cancer is based on protein signatures that can differentiate patients from healthy individuals and those with aggressive tumors from those with less dangerous growths.

Investigators at the Ontario Institute for Cancer Research (Toronto, Canada) and their colleagues at the University Health Network (Toronto, Canada) and the Eastern Virginia Medical School (Norfolk, VA, USA) used advanced proteomics techniques to generate expression information for 624 proteins obtained in urine samples. Computational analyses reduced this number by identifying significantly differentially expressed proteins and finally characterized a set of six protein biomarkers for diagnosis and a set of seven protein biomarkers for prognosis of prostate cancer.

"The amazing thing about these signatures is that their rate of accuracy is as good or better than the invasive tests that are used today, with far fewer drawbacks," said contributing author Dr. Paul Boutros, a principal investigator at the Ontario Institute for Cancer Research. "They can replace invasive, expensive, uncomfortable tests with something much easier and simpler. This type of cheap, non-invasive testing could allow patients to be screened much more frequently, allowing for more accurate monitoring of patients' non-aggressive cancer over time, sparing patients biopsies, imaging tests and even unnecessary surgeries."

The test was described in detail in a paper published in the June 28, 2016, online edition of the journal Nature Communications.

Related Links:
Ontario Institute for Cancer Research
University Health Network
Eastern Virginia Medical School
Gold Member
Serological Pipet Controller
PIPETBOY GENIUS
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Epstein-Barr Virus Test
Mononucleosis Rapid Test
New
Malondialdehyde HPLC Test
Malondialdehyde in Serum/Plasma – HPLC

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Molecular Diagnostics

view channel
Image: The advanced molecular test is designed to improve diagnosis of a genetic form of COPD (Photo courtesy of National Jewish Health)

Groundbreaking Molecular Diagnostic Test Accurately Diagnoses Major Genetic Cause of COPD

Chronic obstructive pulmonary disease (COPD) and Alpha-1 Antitrypsin Deficiency (AATD) are both conditions that can cause breathing difficulties, but they differ in their origins and inheritance.... 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: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... 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.