Preclinical application

Personalized Preclinical Care as a Basis for the Development of Personalized Therapies

© Fraunhofer ITEM

The discovery and preclinical validation of new therapeutics has always involved the use of long term established cancer cell lines and animal models. The advantage here mainly lies in the standardization and detailed characterization of these models.

In personalized medicine, novel cancer therapies are developed on the basis of specific tumor entities. Here, it is “the right therapy for each patient” that applies, not “one drug fits all”!

This paradigm shift also necessitates rethinking the process of preclinical drug development. Here, individual model systems and biomarkers are needed to adequately represent the clinical situation as much as possible. Thus, only drugs that have also proven effective in preclinical models that reflect the disease will make their way into clinical testing.

Tailored Preclinical Analyses

© Fraunhofer ITEM, Patrick Reinig
  • Indication-specific recruitment of patients in collaboration with selected clinical partners
  • Use of patient samples based on GDPR-compliant framework agreements
  • Logistics for collecting and transporting patient samples
  • Isolation of rare cells from liquid and solid biopsies
  • Project-specific Multiomics analysis of rare cell populations down to single cells
  • Customized bioinformatic analysis of multiparametric data (including clinical data)
  • GDPR-compliant data management

© Fraunhofer ITEM, Ralf Mohr
  • Indication-specific recruitment of patients in collaboration with selected clinical partners
  • Use of patient samples based on GDPR-compliant framework agreements
  • Logistics for collecting and transporting patient samples
  • Isolation of rare cells from liquid and solid biopsies
  • Establishment and characterization of patient-derived tumor cell models
  • High-throughput testing of pharmaceutical ingredients and of siRNA and CRISPR/CAS9 libraries based on patient-derived cell models
  • Customized bioinformatic analysis of multiparametric data (including clinical data)
  • GDPR-compliant data management

  • Indication-specific recruitment of patients in collaboration with selected clinical partners
  • Use of patient samples based on GDPR-compliant framework agreements
  • Project-specific preanalytics and logistics for collecting and transporting patient samples
  • Testing and optimization in the development of diagnostic tests and medical devices with clinical sample material
  • Customized bioinformatic analysis of multiparametric data (including clinical data)
  • GDPR-compliant data management

Contact

Christian Werno

Contact Press / Media

Dr. Christian Werno

Manager of the Working Group on Preclinical Therapy Models

Christopher Jakobs

Contact Press / Media

Dr. Christopher Jakobs

Business Development for Personalized Tumor Therapy

Phone +49 152 28220636