Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Genetically Engineered Mouse Models That Closely Resemble Human Patients Enable More Relevant Cancer Drug Studies

By LabMedica International staff writers
Posted on 18 Jul 2013
The use of genetically engineered mouse models (GEMMs) as recipients for xenografts of various types of human tumors enables study of tumor growth in an animal system with intact immune system and identification of genetic signatures that can be used to predict the responsiveness of these tumors to drug treatment.

Investigators at the University of North Carolina (Chapel Hill, USA) reasoned that drug studies conducted using traditional mouse models, which lack functional immune systems, could produce misleading results. More...
To evaluate this theory they examined the efficacy of four chemotherapeutic or targeted anticancer drugs, alone and in combination, using mouse models representing three distinct breast cancer subtypes: Basal-like (GEMM), Luminal B (GEMM), and Claudin-low (non-GEMM). Drugs tested as single agents included carboplatin, paclitaxel, erlotinib, and lapatinib. The investigators used RNA expression analysis to profile tumors in order to develop signatures that corresponded to treatment and response and then tested their predictive potential using human patient data.

Results published in the June 18, 2013, online edition of the journal Clinical Cancer Research revealed that while lapatinib alone exhibited exceptional efficacy in one model system, generally single-agent activity was modest, while some combination therapies were more active and life prolonging. Through analysis of RNA expression in this large set of chemotherapy-treated mouse tumors, a pair of gene expression signatures was identified that predicted pathological complete response to neoadjuvant anthracycline/taxane (doxorubicin/paclitaxel) therapy in human patients with breast cancer.

Results presented in this study showed that mouse-derived gene signatures could predict drug response even after accounting for common clinical variables and other predictive genomic signatures, suggesting that mice could be used to identify new biomarkers for human cancer patients. Senior author Dr. Charles Perou, professor of molecular oncology research at the University of North Carolina, said, “This is a wonderful example of how well chosen mouse models can inform a human disease state. In this case we used years of research to match the models to specific human subtypes, and then treated the animals with therapies identical to what human cancer patients are receiving. We were ultimately able to develop a biomarker of treatment response from the mouse that works in humans.”

Related Links:
University of North Carolina



Platinum Member
ADAMTS-13 Protease Activity Test
ATS-13 Activity Assay
Verification Panels for Assay Development & QC
Seroconversion Panels
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
hCG Whole Blood Pregnancy Test
VEDALAB hCG-CHECK-1
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.