Tracing Clonal Dynamics Reveals that Two- and Three-dimensional Patient-derived Cell Models Capture Tumor Heterogeneity of Clear Cell Renal Cell Carcinoma.


Journal

European urology focus
ISSN: 2405-4569
Titre abrégé: Eur Urol Focus
Pays: Netherlands
ID NLM: 101665661

Informations de publication

Date de publication:
01 2021
Historique:
received: 15 03 2019
revised: 16 05 2019
accepted: 13 06 2019
pubmed: 4 7 2019
medline: 26 3 2022
entrez: 4 7 2019
Statut: ppublish

Résumé

Extensive DNA sequencing has led to an unprecedented view of the diversity of individual genomes and their evolution among patients with clear cell renal cell carcinoma (ccRCC). To understand subclonal architecture and dynamics of patient-derived two-dimensional (2D) and three-dimensional (3D) ccRCC models in vitro, in order to determine whether they mirror ccRCC inter- and intratumor heterogeneity. We have established a comprehensive platform of living renal cancer cell models from ccRCC surgical specimens. We confirmed the concordance of 2D and 3D patient-derived cell (PDC) models with the original tumor tissue in terms of histology, biomarker expression, cancer driver mutations, and copy number alterations. We addressed inter- and intrapatient heterogeneity by analyzing clonal dynamics during serial passaging. In-depth genetic characterization verified the presence of heterogeneous cell populations, and revealed a high degree of similarity between subclonal compositions of monolayer and organoid cell cultures and the corresponding parental ccRCCs. Clonal dynamics were evident during serial passaging of cells in vitro, suggesting that PDC cultures can offer insights into evolutionary potential and treatment susceptibility of ccRCC subclones in vivo. Proof-of-concept drug profiling using selected ccRCC-targeted therapy agents highlighted patient-specific vulnerabilities in PDC models that could not be anticipated by interrogating commercially available cell lines. We demonstrate that PDC models mirror inter- and intratumor heterogeneity of ccRCC in vitro. Based on our findings, we envision that the use of these models will advance our understanding of the trajectories that cause genetic diversity and their consequences for treatment on an individual level. In this study, we developed two- and three-dimensional patient-derived models from clear cell renal cell carcinoma (ccRCC) as "mini-tumors in a dish." We show that these cell models retain important features of the human ccRCCs such as the profound tumor heterogeneity, thus highlighting their importance for cancer research and precision medicine.

Sections du résumé

BACKGROUND
Extensive DNA sequencing has led to an unprecedented view of the diversity of individual genomes and their evolution among patients with clear cell renal cell carcinoma (ccRCC).
OBJECTIVE
To understand subclonal architecture and dynamics of patient-derived two-dimensional (2D) and three-dimensional (3D) ccRCC models in vitro, in order to determine whether they mirror ccRCC inter- and intratumor heterogeneity.
DESIGN, SETTING, AND PARTICIPANTS
We have established a comprehensive platform of living renal cancer cell models from ccRCC surgical specimens.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
We confirmed the concordance of 2D and 3D patient-derived cell (PDC) models with the original tumor tissue in terms of histology, biomarker expression, cancer driver mutations, and copy number alterations. We addressed inter- and intrapatient heterogeneity by analyzing clonal dynamics during serial passaging.
RESULTS AND LIMITATIONS
In-depth genetic characterization verified the presence of heterogeneous cell populations, and revealed a high degree of similarity between subclonal compositions of monolayer and organoid cell cultures and the corresponding parental ccRCCs. Clonal dynamics were evident during serial passaging of cells in vitro, suggesting that PDC cultures can offer insights into evolutionary potential and treatment susceptibility of ccRCC subclones in vivo. Proof-of-concept drug profiling using selected ccRCC-targeted therapy agents highlighted patient-specific vulnerabilities in PDC models that could not be anticipated by interrogating commercially available cell lines.
CONCLUSIONS
We demonstrate that PDC models mirror inter- and intratumor heterogeneity of ccRCC in vitro. Based on our findings, we envision that the use of these models will advance our understanding of the trajectories that cause genetic diversity and their consequences for treatment on an individual level.
PATIENT SUMMARY
In this study, we developed two- and three-dimensional patient-derived models from clear cell renal cell carcinoma (ccRCC) as "mini-tumors in a dish." We show that these cell models retain important features of the human ccRCCs such as the profound tumor heterogeneity, thus highlighting their importance for cancer research and precision medicine.

Identifiants

pubmed: 31266731
pii: S2405-4569(19)30164-6
doi: 10.1016/j.euf.2019.06.009
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

152-162

Informations de copyright

Copyright © 2019 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Hella A Bolck (HA)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Claudia Corrò (C)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Abdullah Kahraman (A)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Adriana von Teichman (A)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Nora C Toussaint (NC)

NEXUS Personalized Health Technologies, ETH Zurich, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Basel, Switzerland.

Jack Kuipers (J)

SIB Swiss Institute of Bioinformatics, Basel, Switzerland; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.

Francesca Chiovaro (F)

InSphero AG, Schlieren, Switzerland.

Viktor H Koelzer (VH)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Chantal Pauli (C)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Wolfgang Moritz (W)

InSphero AG, Schlieren, Switzerland.

Peter K Bode (PK)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Markus Rechsteiner (M)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Niko Beerenwinkel (N)

SIB Swiss Institute of Bioinformatics, Basel, Switzerland; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.

Peter Schraml (P)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland. Electronic address: Peter.Schraml@usz.ch.

Holger Moch (H)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

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Classifications MeSH