A mouse model repository for cancer biomarker discovery

Area of Science:

• Oncology
• Biomarker Discovery
• Translational Research

Background:

• Early cancer detection significantly reduces mortality, but identifying reliable biomarkers is challenging due to human genetic and environmental variability.
• The complexity of the human plasma proteome and limited availability of high-quality controlled samples hinder the discovery of novel blood-based cancer biomarkers.

Purpose of the Study:

• To present a new paradigm for cancer biomarker discovery utilizing inbred mouse models.
• To establish a comprehensive repository of biological samples from diverse mouse models of human cancer for research use.

Main Methods:

• Leveraging inbred mouse models to minimize genetic and environmental variability in cancer studies.
• Establishing a repository of tumor, plasma, urine, and other tissues from 10 distinct mouse models representing various human cancers (breast, lung, prostate, gastrointestinal, ovarian, skin).
• Collecting samples from highly matched cases and controls under identical conditions to reduce experimental variability.

Main Results:

• Demonstrated the utility of inbred mouse models in recapitulating human cancer features while controlling for variability.
• Successfully created a repository of diverse cancer models and associated biological samples.
• Outlined the resource design and its potential applications for the research community.

Conclusions:

• Inbred mouse models offer a powerful platform for overcoming key challenges in blood-based cancer biomarker discovery.
• The established sample repository provides a valuable resource for researchers seeking to identify novel cancer biomarkers.
• This approach has the potential to accelerate the development of early cancer detection methods.