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




Novel Classification System Identifies Prostate Cancer Patients Who May Benefit from Combined Immune and Radiation Therapies

By LabMedica International staff writers
Posted on 22 Dec 2020
A novel classification system is expected to aid in the subtyping of aggressive prostate cancers in patients who may benefit from combined immune and radiation therapies.

Prostate cancer is graded from 1 to 5 based on how aggressive it is, with 5 being the most aggressive. More...
Patients with 4/5 grade cancers are at the highest risk of poor outcomes or death from the disease. However, currently there are no immunologic or genomic indicators for determination of the best course of treatment for this group of patients.

Investigators at the Moffitt Cancer Center & Research Institute (Tampa, FL, USA) employed two classifiers – the tumor immune content score (ICS) and the Decipher genomic classifier - to assess whether transcriptomic interactions between the two classifiers could identify the most lethal subsets of grade 4/5 prostate cancers. The ICS was derived from the mean expression of 264 immune cell-specific genes, while the Decipher score was based on 22 RNA biomarkers that predicted the probability that a cancer would spread.

For the current study, the investigators analyzed data from 8,071 prostate cancer patient samples of any disease grade (6,071 prostatectomy and 2,000 treatment naïve) in the Decipher Genomics Resource Information Database (GRID) registry. Each patient sample also received an ICS rating.

The samples were separated into four distinct immuno/genomic subsets based on the results: ICS high/Decipher high, ICS low/Decipher high, ICS high/Decipher low, and ICS low/Decipher low.

Results of the analyses revealed that approximately 25% of all grade 4/5 patient samples were in the ICS high/Decipher high subset. The ICS high/Decipher high subtype was associated with increased sensitivity to radiotherapy. Additionally, the ICS high/Decipher high subtype had a significantly higher risk of distant metastasis as compared with the ICS low/Decipher low subtype.

The creation of these novel immuno/genomic subtypes established a very strong synergistic interaction between ICS and Decipher in identifying grade 4/5 prostate cancer patients who are likely to experience the most lethal outcomes.

"Our results will aid in the subtyping of aggressive prostate cancer patients who may benefit from combined immune-radiotherapy modalities," said first author Dr. Kosj Yamoah, director of cancer disparities research at the Moffitt Cancer Center.

The study was published in the December 7, 2020, online edition of the journal European Urology.

Related Links:
Moffitt Cancer Center & Research Institute


Platinum Member
ADAMTS-13 Protease Activity Test
ATS-13 Activity Assay
Verification Panels for Assay Development & QC
Seroconversion Panels
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Blood Ammonia Test Analyzer
DRI-CHEM NX10N
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 © 2000-2026 Globetech Media. All rights reserved.