Patient-derived explants, xenografts and organoids: 3-dimensional patient-relevant pre-clinical models in endometrial cancer

Gynecol Oncol. 2020 Jan;156(1):251-259. doi: 10.1016/j.ygyno.2019.11.020. Epub 2019 Nov 22.

Abstract

The majority of endometrial cancers are detected early with a favourable prognosis. However, for patients with advanced disease, chemotherapy response rates and overall survival remains poor. The endometrial cancer population is typically elderly with multiple co-morbidities and aggressive cytotoxic therapy may be hazardous. Therefore, there is an urgent need to define optimal treatment strategies for advanced and recurrent disease and personalise therapy based on individual tumour and patient characteristics. Three-dimensional (3D) models that preserve the tumour microenvironment and tumour-stromal interactions are increasingly important for translational research with the advent of immunotherapy and molecularly targeted agents. 3D patient-relevant pre-clinical models in endometrial cancer include spheroids, patient-derived organoids, microfluidic systems, patient-derived xenografts and patient-derived explants. Here we present a review of available 3D modelling systems in endometrial cancers, highlighting their current use, advantages, disadvantages and applications to translational research with a focus on the power of the patient-derived explant platform.

Keywords: Endometrial cancer; Patient derived explant; Pre-clinical models; Tumour heterogeneity; Tumour microenvironment.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Carcinoma, Endometrioid / drug therapy
  • Carcinoma, Endometrioid / pathology
  • Cell Culture Techniques / methods*
  • Drug Screening Assays, Antitumor / methods
  • Endometrial Neoplasms / drug therapy
  • Endometrial Neoplasms / pathology*
  • Female
  • Heterografts
  • Humans
  • Neoplasm Transplantation / methods
  • Organoids / pathology
  • Spheroids, Cellular / pathology
  • Translational Research, Biomedical / methods