Cancer Model Database

Speed up your discovery oncology research. Testing your compound in disease- and target-relevant preclinical models saves substantial time and money on the path to the clinic. Our Cancer Model Database can help you create a more targeted study design from the start, by selecting the most appropriate tumor model. An open access tool, the database enables you to search for specific tumor histologies and model metadata, as well as molecular properties including gene expression, mutations, and copy number variations. In the latest version of the Cancer Model Database, we have around 600 PDX database models, more than 150 CDX models, around 50 syngeneic models, and nearly 500 cell line models available.

Browse our database

Cancer Model Database image

What You’ll Find in the Complimentary Charles River Cancer Model Database for Preclinical Oncology Research

The Cancer Model Database gives you access to comprehensive molecular data, generated for our PDX models, as well as for CDX and cell lines, to help you find the best-suited models for your preclinical goals.

Our integrated approach using in vitro 2D, ex vivo 3D, and in vivo models, as well as bioinformatics data, facilitates drug development and accelerates your oncology research. You can search by:

  • Tumor metadata including patient data, growth characteristics, and histology
  • mRNA expression level
  • Whole exome sequencing mutation profiles
  • Gene copy number alteration
  • And more

Search criteria can be used individually and in combination.

Find the right model

Thanks to this Charles River Database, there are no more animal model errors, and it helps us refine our studies.”

Academic Researcher

How to navigate efficiently through our Cancer Model Database

Computer showing the Cancer Model Database

Search by:

  • Model type, such as PDX, CDX, and cell line
  • Cancer type
  • Gene expression, mutation, and/or copy number variation
  • Predicted HLA types
  • Tumor metadata (such as histology, patient characteristics, etc.)

Dive Deep into our Open Access Cancer Model Database

Our cancer model database has different types of molecular data:

  • Gene expression determined by Affymetrix® Human Genome U133 Plus 2.0 Array
  • RNA-seq data (gene expression, mRNA mutations, fusions, HLA predictions)
  • Gene mutations determined by whole exome sequencing
  • Gene copy number variations determined by Affymetrix® Genome-Wide Human SNP Array 6.0

You can easily visualize your search and download the data for further analysis. This image is a visualization example including amplification, loss, deletion, mutation, and expression of the gene of interest across different models.

Your search results indicate for which assay type the model(s) are available: 2D screening, 3D ex vivo and/or in vivo.

Our experts are ready to answer your questions.

Micropathology of breast tumor model, to represent the tumor models available in Charles River’s Cancer Model Database.

Oncology Preclinical Study Planning Toolkit
Take control of your efficacy study by getting instant access to study pricing, cancer model data, and connection to our oncology specialists, so that you feel supported on your oncology efficacy journey.
Find the Right Model

In vivo: CDX and PDX Model Database

Our cancer model data and pre-selection process ensures you have selected the most relevant model for full-scale in vivo efficacy studies. The Cancer Model Database includes tumor models from a wide range of tumor subtypes, including patient-derived xenografts (PDX), cell line-derived xenografts (CDX), and mouse syngeneic models. You can view our models across a range of different histotypes that closely mimic the respective clinical disease. The Cancer Model Database shows our full range of in vivo models.

Browse the CDX and PDX Model Database

Have a look at the in vitro, 3D, and cell lines database

The industry standard for early efficacy and tumor type identification, in vitro screening is a critical step to identify innovative compounds in a rapid, reliable, and cost-effective way. Simplifying and accelerating what can be an otherwise time-consuming process, our Cancer Model Database is a valuable resource for oncology researchers as they enter the critical in vitro stage of their work.

Using data from the Cancer Model Database, you can select the best in vitro model to test your compound from our selection of 2D in vitro assays and 3D ex vivo assays.

In addition to the Cancer Model Database, Charles River has a range of pediatric cancer models. Since the RACE-Act, all new oncology therapeutics must be evaluated for safety and efficacy in pediatric cancers if the treatment is directed at a molecular target relevant to pediatric cancer, including therapeutics with an orphan drug designation. Find more than 200 pediatric well-characterized PDX models, as well as CDX models available for your research project.

The Charles River’s Cancer Model Database is even more useful than one of the biggest publication databases!”

Academic Researcher

Frequently Asked Questions (FAQs) About the Cancer Model Database

 

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