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Zebrafish patient-derived xenograft models predict lymph node involvement and treatment outcome in non-small cell lung cancer.
Ali, Zaheer; Vildevall, Malin; Rodriguez, Gabriela Vazquez; Tandiono, Decky; Vamvakaris, Ioannis; Evangelou, Georgios; Lolas, Georgios; Syrigos, Konstantinos N; Villanueva, Alberto; Wick, Michael; Omar, Shenga; Erkstam, Anna; Schueler, Julia; Fahlgren, Anna; Jensen, Lasse D.
Afiliación
  • Ali Z; BioReperia AB, Linköping, Sweden.
  • Vildevall M; BioReperia AB, Linköping, Sweden.
  • Rodriguez GV; BioReperia AB, Linköping, Sweden.
  • Tandiono D; BioReperia AB, Linköping, Sweden.
  • Vamvakaris I; Pathology Department, Athens Chest Hospital "Sotiria", Athens, Greece.
  • Evangelou G; 3rd Department of Internal Medicine and Laboratory, National & Kapodistrian University of Athens, Athens, Greece.
  • Lolas G; 3rd Department of Internal Medicine and Laboratory, National & Kapodistrian University of Athens, Athens, Greece.
  • Syrigos KN; InCELLiA P.C, Athens, Greece.
  • Villanueva A; 3rd Department of Internal Medicine and Laboratory, National & Kapodistrian University of Athens, Athens, Greece.
  • Wick M; Program Against Cancer Therapeutic Resistance (ProCURE), Catalan Institute of Oncology (ICO), Bellvitge Institute for Biomedical Research (IDIBELL), Oncobell Program, L'Hospitalet del Llobregat, Barcelona, Catalonia, Spain.
  • Omar S; Xenopat S.L., Parc Cientific de Barcelona (PCB), Barcelona, Spain.
  • Erkstam A; XenoSTART, San Antonio, TX, USA.
  • Schueler J; Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Campus US, Entrance 68, Pl. 08, SE-58185, Linköping, Sweden.
  • Fahlgren A; BioReperia AB, Linköping, Sweden.
  • Jensen LD; Charles River Laboratories, Freiburg, Germany.
J Exp Clin Cancer Res ; 41(1): 58, 2022 Feb 09.
Article en En | MEDLINE | ID: mdl-35139880
ABSTRACT

BACKGROUND:

Accurate predictions of tumor dissemination risks and medical treatment outcomes are critical to personalize therapy. Patient-derived xenograft (PDX) models in mice have demonstrated high accuracy in predicting therapeutic outcomes, but methods for predicting tumor invasiveness and early stages of vascular/lymphatic dissemination are still lacking. Here we show that a zebrafish tumor xenograft (ZTX) platform based on implantation of PDX tissue fragments recapitulate both treatment outcome and tumor invasiveness/dissemination in patients, within an assay time of only 3 days.

METHODS:

Using a panel of 39 non-small cell lung cancer PDX models, we developed a combined mouse-zebrafish PDX platform based on direct implantation of cryopreserved PDX tissue fragments into zebrafish embryos, without the need for pre-culturing or expansion. Clinical proof-of-principle was established by direct implantation of tumor samples from four patients.

RESULTS:

The resulting ZTX models responded to Erlotinib and Paclitaxel, with similar potency as in mouse-PDX models and the patients themselves, and resistant tumors similarly failed to respond to these drugs in the ZTX system. Drug response was coupled to elevated expression of EGFR, Mdm2, Ptch1 and Tsc1 (Erlotinib), or Nras and Ptch1 (Paclitaxel) and reduced expression of Egfr, Erbb2 and Foxa (Paclitaxel). Importantly, ZTX models retained the invasive phenotypes of the tumors and predicted lymph node involvement of the patients with 91% sensitivity and 62% specificity, which was superior to clinically used tests. The biopsies from all four patient tested implanted successfully, and treatment outcome and dissemination were quantified for all patients in only 3 days.

CONCLUSIONS:

We conclude that the ZTX platform provide a fast, accurate, and clinically relevant system for evaluation of treatment outcome and invasion/dissemination of PDX models, providing an attractive platform for combined mouse-zebrafish PDX trials and personalized medicine.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma de Pulmón de Células no Pequeñas / Neoplasias Pulmonares / Ganglios Linfáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: J Exp Clin Cancer Res Año: 2022 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma de Pulmón de Células no Pequeñas / Neoplasias Pulmonares / Ganglios Linfáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: J Exp Clin Cancer Res Año: 2022 Tipo del documento: Article País de afiliación: Suecia