A bladder cancer patient-derived xenograft displays aggressive growth dynamics in vivo and in organoid culture

Abstract

Bladder cancer is among the most prevalent cancers worldwide. Currently, few bladder cancer models have undergone thorough characterization to assess their fidelity to patient tumors, especially upon propagation in the laboratory. Here, we establish and molecularly characterize CoCaB 1, an aggressive cisplatin-resistant muscle-invasive bladder cancer patient-derived xenograft (PDX) and companion organoid system. CoCaB 1 was a subcutaneous PDX model reliably transplanted in vivo and demonstrated an acceleration in growth upon serial transplantation, which was reflected in organoid and 2D cell culture systems. Transcriptome analysis revealed progression towards an increasingly proliferative and stem-like expression profile. Gene expression differences between organoid and PDX models reflected expected differences in cellular composition, with organoids enriched in lipid biosynthesis and metabolism genes and deprived of extracellular components observed in PDXs. Both PDX and organoid models maintained the histological fidelity and mutational heterogeneity of their parental tumor. This study establishes the CoCaB 1 PDX and organoid system as companion representative tumor models for the development of novel bladder cancer therapies.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 25, 2021
Source ID
10.1038/s41598-021-83662-7

Entities

People

  • Alicia Wong
  • Andrew C Hsieh
  • Bruce Montgomery
  • Bryce Lakely
  • Elise Y Cai
  • Eva Corey
  • Funda Vakar-lopez
  • Holly M. Nguyen
  • Hung-ming Lam
  • John K Lee
  • Jonathan L. Wright
  • José M. Garcia
  • Lisha G. Brown
  • Sonali Arora
  • Yuzhen Liu

Organizations

  • Burroughs Wellcome Fund
  • Emerson Collective
  • Istituto Superiore di Sanità
  • National Institutes of Health
  • Robert J Kleberg Jr and Helen C Kleberg Foundation
  • United States Department of Defense

Tags

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Oncology
  • Oncology (Cancer Research).

Technology Areas

  • Biotechnology