Preclinical models of esophageal adenocarcinoma for drug development

David S Liu1,2,3, Cuong P Duong2,4, Wayne A Phillips1,2,3,4

  • 1Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.

Discovery Medicine
|February 2, 2017
PubMed

Insights

Advancements in multi-omic profiling and drug screening enable targeted therapies for solid tumors. New esophageal adenocarcinoma models improve preclinical drug development, but tumor microenvironment modeling is needed for immunotherapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Drug Development

Background:

  • Molecular targeted therapies have advanced cancer treatment for many solid tumors.
  • Esophageal adenocarcinoma has seen limited success with targeted therapies.
  • Preclinical drug development was previously restricted to few cell line models.

Purpose of the Study:

  • To review the progress and challenges in preclinical drug development for esophageal adenocarcinoma.
  • To highlight the role of novel preclinical models in advancing targeted therapies.
  • To identify future directions for improving drug testing platforms.

Main Methods:

  • Review of current literature on multi-omic profiling and high-throughput drug screening.
  • Analysis of the utility of patient-derived xenografts and metastatic models.
  • Discussion of the limitations of existing models for tumor microenvironment representation.

Main Results:

  • Multi-omic profiling and drug screening have accelerated targeted therapy development.
  • Patient-derived xenografts and novel metastatic models enhance preclinical research for esophageal adenocarcinoma.
  • Existing models do not adequately represent the tumor microenvironment and immune interactions.

Conclusions:

  • Novel preclinical models are crucial for advancing esophageal adenocarcinoma treatment.
  • Further development of models simulating the tumor microenvironment is essential.
  • Translating immunotherapies for esophageal adenocarcinoma requires improved preclinical systems.