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
Sign In
Advertise with Us
BIO-RAD LABORATORIES

Download Mobile App




Identifying Colorectal Cancer Subtypes Improves Treatment Decisions

By LabMedica International staff writers
Posted on 25 Jun 2019
Print article
Image: Identifying a metastatic colorectal cancer patient’s Consensus Molecular Subtype (CMS) could help oncologists determine the most effective course of treatment (Photo courtesy of University of Southern California).
Image: Identifying a metastatic colorectal cancer patient’s Consensus Molecular Subtype (CMS) could help oncologists determine the most effective course of treatment (Photo courtesy of University of Southern California).
Colorectal cancer is the second leading cause of cancer death in the USA, and is expected to cause about 51,000 deaths in 2019, but until now, it was unclear which drugs were most effective for which patients.

Consensus Molecular Subtype categorizes colorectal cancer into four distinct, biologically characterized subgroups based on how mutations in the tumor behave. The subgroups were created using data from several teams around the world that had previously analyzed tumors of colorectal cancer patients who were treated with surgery and adjuvant chemotherapy.

An international team of oncology specialists led by the University of Southern California (Los Angeles, CA, USA) compared the efficacy of two different therapies (chemotherapy and cetuximab versus bevacizumab) on metastatic colorectal cancer patients categorized by CMS. They characterized the CMS classification using a novel NanoString gene expression panel on primary CRCs from 581 patients enrolled in this study to assess the prognostic and predictive value of CMSs in these patients.

The results of the study showed a strong association between a patient's CMS subtype and both overall survival and progression-free survival. For example, patients in CMS2 had a median overall survival of 40 months compared to 15 months for patients in CMS1. CMS also was predictive of overall survival among patients on either treatment, with patients in certain subtypes faring better on one therapy over the other. Survival for CMS1 patients on bevacizumab was twice that of those on cetuximab, whereas survival for CMS2 patients on cetuximab was six months longer than for bevacizumab.

Heinz-Josef Lenz, MD, a Professor of Medicine and lead author of the study said, “We wanted to understand the importance of CMS for patients with metastatic disease who are treated with the two most important first-line therapies. We anticipated that CMS had prognostic value, but we were impressed at how strongly CMS was associated with outcomes. This study establishes the clinical utility of CMS in treating colorectal cancer.” The study was published on May 8, 2019, in the Journal of Clinical Oncology.

Related Links:
University of Southern California

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Real-time PCR System
GentierX3 Series

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: A false color scanning election micrograph of lung cancer cells grown in culture (Photo courtesy of Anne Weston)

AI Tool Precisely Matches Cancer Drugs to Patients Using Information from Each Tumor Cell

Current strategies for matching cancer patients with specific treatments often depend on bulk sequencing of tumor DNA and RNA, which provides an average profile from all cells within a tumor sample.... Read more

Microbiology

view channel
Image: Microscope image showing human colorectal cancer tumor with Fusobacterium nucleatum stained in a red-purple color (Photo courtesy of Fred Hutch Cancer Center)

Mouth Bacteria Test Could Predict Colon Cancer Progression

Colon cancer, a relatively common but challenging disease to diagnose, requires confirmation through a colonoscopy or surgery. Recently, there has been a worrying increase in colon cancer rates among younger... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.