Cancer Tumor Models
The Next Cancer Research Breakthrough
Our scientists work collaboratively with you to thoroughly evaluate your drug candidates, planning an approach that takes advantage of the widest breadth of analysis tools and models in the industry. Use our cell line models to interrogate the pharmacology of your drug candidates and get the decision-driving data you need to make go/no-go decisions on drugs in your preclinical oncology pipeline.
Subcutaneous Tumor Models
Subcutaneous (SC) tumor models have played an important role in cancer drug discovery for many years. The use of these models is a critical step along the drug discovery cascade. In vivo studies utilizing SC tumor models are incorporated into pharmacodynamic assays to ensure target inhibition and adequate inhibition of target over time.
Orthotopic Tumor Models
The deep tissue location of the tumors in many orthotopic models makes the assessment of anti-cancer activity difficult without the use of imaging techniques. Traditional methods require the sacrifice of large cohorts of animals, at different time points, to track tumor progression, metastatic spread and response to therapy.
Metastasis Tumor Models
Metastatic disease accounts for the majority of cancer-related mortalities. The genes and proteins involved in metastasis have long been sought after as potential therapeutic targets. Our tumor portfolio contains a number of proprietary, efficient and reproducible metastasis models.
PDX Tumor Models
The use of patient-derived xenograft (PDX) models has been on the rise for the last several years. As preclinical work aims to be more relevant to clinical settings and more predictive of clinical outcomes, there are times when the use of PDX models is determined to be necessary to optimize translatability.
Disseminated Tumor Models
At Covance, we offer more than 50 different hematologic tumor lines, of both human and murine origin. We bring over a decade of industry-leading experience and expertise in model selection, study design, study execution, image acquisition and proprietary data analysis of disseminated tumor models.