Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Abstract 4678: Characterization of a PDX panel covering molecular diversity of non-small cell lung cancer to accelerate the development of precision therapycitations
  • 2023Abstract 4677: A preclinical platform of breast cancer PDX and derived cellular models as a tool for pharmacological screening and functional studies1citations

Places of action

Chart of shared publication
Deas, Olivier
1 / 1 shared
Nicolle, Delphine
2 / 2 shared
Decaudin, Didier
2 / 2 shared
Farace, Françoise
1 / 1 shared
Friboulet, Luc
1 / 1 shared
Zarubica, Ana
2 / 2 shared
Tayoun, Tala
1 / 1 shared
Malissen, Bernard
2 / 2 shared
Luche, Hervé
2 / 2 shared
Mevel, Katell
1 / 1 shared
Bigot, Ludovic
1 / 1 shared
Brulle-Soumare, Laura
1 / 1 shared
Corcuff, Erwan
2 / 2 shared
Joachim, Anaïs
2 / 2 shared
Besse, Benjamin
1 / 2 shared
Tavernier, Marie
1 / 1 shared
Clarke, Robert
1 / 5 shared
Gorce, Aurore
1 / 1 shared
Charafe-Jaufret, Emmanuelle
1 / 1 shared
Passildas, Judith
1 / 1 shared
Robin, Nina
1 / 1 shared
Marangoni, Elisabetta
1 / 3 shared
Ginestier, Christophe
1 / 2 shared
Déas, Olivier
1 / 2 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Deas, Olivier
  • Nicolle, Delphine
  • Decaudin, Didier
  • Farace, Françoise
  • Friboulet, Luc
  • Zarubica, Ana
  • Tayoun, Tala
  • Malissen, Bernard
  • Luche, Hervé
  • Mevel, Katell
  • Bigot, Ludovic
  • Brulle-Soumare, Laura
  • Corcuff, Erwan
  • Joachim, Anaïs
  • Besse, Benjamin
  • Tavernier, Marie
  • Clarke, Robert
  • Gorce, Aurore
  • Charafe-Jaufret, Emmanuelle
  • Passildas, Judith
  • Robin, Nina
  • Marangoni, Elisabetta
  • Ginestier, Christophe
  • Déas, Olivier
OrganizationsLocationPeople

document

Abstract 4677: A preclinical platform of breast cancer PDX and derived cellular models as a tool for pharmacological screening and functional studies

  • Tavernier, Marie
  • Clarke, Robert
  • Nicolle, Delphine
  • Gorce, Aurore
  • Charafe-Jaufret, Emmanuelle
  • Passildas, Judith
  • Decaudin, Didier
  • Robin, Nina
  • Zarubica, Ana
  • Malissen, Bernard
  • Luche, Hervé
  • Judde, Jean-Gabriel
  • Marangoni, Elisabetta
  • Ginestier, Christophe
  • Corcuff, Erwan
  • Joachim, Anaïs
  • Déas, Olivier
Abstract

<jats:title>Abstract</jats:title><jats:p>Despite considerable progress in understanding the biology and genetics of breast cancer, the development of effective therapies needs physiological and predictive preclinical models. In this context, breast cancer (BC) patient-derived xenograft (PDX) models have become a standard tool as they reproduce the biology of tumors of origin, in term of histology, genotype and response to chemotherapy. They have proven their relevance in the study of pathways leading to the development and progression of cancer, to the mechanisms linked to tumor resistance and to the identification of novel effective therapies. We present a preclinical platform of over 60 fully characterized BC PDX models and their in vitro cell derivatives for preclinical evaluation of new treatment modalities. Our platform consists of a PDX collection of 43 TNBC, 6 ER+, 4 HER2+, 6 Luminal B models (ER+ HER2+) and 14 cellular models derived from these PDXs, representing the variety of BC. PDX models were obtained by transplantation of post-surgery tumor specimens either by grafting of tumor fragments in the interscapular region of nude mice or by injection of tumor cells into the fat pad of NOD-Scid mice. Molecular analyses were done included gene expression, gene copy number, whole exome sequencing and IHC markers staining. In vivo drug efficacy assays were performed with standards of care as single agent or in combinations. This PDX panel mostly reflects the molecular heterogeneity of breast cancer and reproduce accurately the molecular and drug response profile of human tumors. It provides an invaluable tool for translational research. It is widely used to performed standard drug evaluation but also “Mouse Clinical Trials” (MCT) in vivo screens to provide more predictive preclinical data on single-agent or combination drug efficacy. Engrafted on highly immunodeficient mice humanized with human PBMCs or CD34+ cells, these PDX models allow bispecific T-Cell engager antibody testing or immune-checkpoint inhibitors evaluation. In addition to these PDX panel, we derived cellular models (PDXDCs) to offer a time- and cost-effective preclinical screening tool. PDXDCs were obtained from dissociated PDX tumors cultured under different media and matrix conditions. They were characterized by comparison with the parental PDX by Short Tandem Repeat (STR) profiling before performing a master bank. WES and RNASeq molecular analyses were done and in vitro drug sensitivity was compared with their parental PDX in vivo drug response. Overall, the results show that this PDXDC panel reproduced in vitro the in vivo drug response profile of the original PDXs with various therapies. This BC PDX panel and in vitro cell derivatives provide a powerful preclinical platform to improve our knowledge on BC biology and to rapidly evaluate response to new treatments and translate this knowledge to the clinic.</jats:p><jats:p>Citation Format: Delphine Nicolle, Aurore Gorce, Marie Tavernier, Elisabetta Marangoni, Didier Decaudin, Christophe Ginestier, Emmanuelle Charafe-Jaufret, Judith Passildas, Nina Robin, Robert Clarke, Erwan Corcuff, Anaïs Joachim, Bernard Malissen, Ana Zarubica, Hervé Luche, Jean-Gabriel Judde, Olivier Déas. A preclinical platform of breast cancer PDX and derived cellular models as a tool for pharmacological screening and functional studies. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4677.</jats:p>

Topics
  • impedance spectroscopy