Biomarkers of Response: HuMark™

Identify biomarkers to help predict patient clinical response

oncology-magnifyglass.png

Better Predict Patient Response with Validated Predictive Biomarkers

In modern drug discovery and oncology diagnoses, biomarkers play an important role in the early detection of disease, prediction of susceptibility, and personalization of treatment.

At CrownBio, we are focused on discovering and validating PD, surrogate, and predictive biomarkers that can differentiate between responders and non-responders in a patient population.

Validate Antitumor Effects Against Predicted Human Targets

As part of our Translational Oncology program, CrownBio has developed the HuMark Translational Platform to understand the relationships between:

  • Genes
  • Protein expression
  • Molecular interactions
  • And activity

that define the fundamental components of a predictive biomarker, and help clients to explain the mechanism of action of, and profile resistance mechanisms to, their particular treatment regimen.

Our HuMark platform leverages data from HuTrials™ (mouse clinical trials), which utilize our highly predictive HuPrime® and HuKemia® Patient-Derived Xenograft (PDX) models. Our large diverse collection of PDX now covers 2,500 models and over 30 cancer types, providing growing panels of PDX with patient-relevant mutations for biomarker study.

predictive biomarkers responder and non-responder differentiation data

HuMark Helps You Differentiate Between
Responders and Non-Responders in a Population

The HuMark Translational Platform spans a range of capabilities and analyses, from tissue collection to data analysis, and is helping to validate antitumor effects against predicted human targets.

Accelerate Candidate Success in the Clinic

HuMark identifies biomarkers of response, improving clients understanding of their compound target population, and allowing the selection of appropriate models to accelerate their candidate success in the clinic.

Biomarkers are identified from HuTrial results via a range of techniques including:

  • Whole genome profiling and data analysis
  • Next generation genome sequencing
  • Mutation analysis bioinformatics
  • In vitro and in vivo PD marker identification
  • Biomarker assay development and validation
  • Quantitative western blot, FACS analysis
  • Immunohistochemistry
  • DNA sequencing

Contact us today for advice on advancing your compounds with our preclinical Translational Oncology Technology Platforms.