Literature DB >> 31266731

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

Hella A Bolck1, Claudia Corrò1, Abdullah Kahraman1, Adriana von Teichman1, Nora C Toussaint2, Jack Kuipers3, Francesca Chiovaro4, Viktor H Koelzer1, Chantal Pauli1, Wolfgang Moritz4, Peter K Bode1, Markus Rechsteiner1, Niko Beerenwinkel3, Peter Schraml5, Holger Moch1.   

Abstract

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

Entities:  

Keywords:  Clonal dynamics; Patient-derived models; Personalized medicine; Renal cancer; Tumor heterogeneity

Mesh:

Substances:

Year:  2019        PMID: 31266731     DOI: 10.1016/j.euf.2019.06.009

Source DB:  PubMed          Journal:  Eur Urol Focus        ISSN: 2405-4569


  10 in total

Review 1.  Integration of Tumor Microenvironment in Patient-Derived Organoid Models Help Define Precision Medicine of Renal Cell Carcinoma.

Authors:  Bingran Wang; Yizheng Xue; Wei Zhai
Journal:  Front Immunol       Date:  2022-05-03       Impact factor: 8.786

2.  Semi-Automated Computational Assessment of Cancer Organoid Viability Using Rapid Live-Cell Microscopy.

Authors:  Joseph D Buehler; Cylaina E Bird; Milan R Savani; Lauren C Gattie; William H Hicks; Michael M Levitt; Mohamad El Shami; Kimmo J Hatanpaa; Timothy E Richardson; Samuel K McBrayer; Kalil G Abdullah
Journal:  Cancer Inform       Date:  2022-05-26

3.  Cancer Sample Biobanking at the Next Level: Combining Tissue With Living Cell Repositories to Promote Precision Medicine.

Authors:  Hella A Bolck; Chantal Pauli; Elisabeth Göbel; Katharina Mühlbauer; Susanne Dettwiler; Holger Moch; Peter Schraml
Journal:  Front Cell Dev Biol       Date:  2019-10-22

4.  Patient-derived tumor spheroid cultures as a promising tool to assist personalized therapeutic decisions in breast cancer.

Authors:  Sarah Hofmann; Raichel Cohen-Harazi; Yael Maizels; Igor Koman
Journal:  Transl Cancer Res       Date:  2022-01       Impact factor: 1.241

Review 5.  Models of Renal Cell Carcinoma Used to Investigate Molecular Mechanisms and Develop New Therapeutics.

Authors:  Daniel D Shapiro; Maria Virumbrales-Muñoz; David J Beebe; E Jason Abel
Journal:  Front Oncol       Date:  2022-04-07       Impact factor: 5.738

6.  Editorial: in vitro and in vivo non-clinical models of kidney cancers.

Authors:  Valérian Dormoy; Odile Filhol; Carole Sourbier; Thierry Massfelder
Journal:  Front Oncol       Date:  2022-07-26       Impact factor: 5.738

Review 7.  Urological cancer organoids, patients' avatars for precision medicine: past, present and future.

Authors:  Haotian Chen; Wentao Zhang; Niraj Maskey; Fuhan Yang; Zongtai Zheng; Cheng Li; Ruiliang Wang; Pengfei Wu; Shiyu Mao; Junfeng Zhang; Yang Yan; Wei Li; Xudong Yao
Journal:  Cell Biosci       Date:  2022-08-19       Impact factor: 9.584

Review 8.  Patient-Derived Cancer Organoids for Precision Oncology Treatment.

Authors:  Mark N Pernik; Cylaina E Bird; Jeffrey I Traylor; Diana D Shi; Timothy E Richardson; Samuel K McBrayer; Kalil G Abdullah
Journal:  J Pers Med       Date:  2021-05-17

Review 9.  Liquid Biopsies in Renal Cell Carcinoma-Recent Advances and Promising New Technologies for the Early Detection of Metastatic Disease.

Authors:  Harini Lakshminarayanan; Dorothea Rutishauser; Peter Schraml; Holger Moch; Hella A Bolck
Journal:  Front Oncol       Date:  2020-10-28       Impact factor: 6.244

Review 10.  Clinical translation of patient-derived tumour organoids- bottlenecks and strategies.

Authors:  Malia Alexandra Foo; Mingliang You; Shing Leng Chan; Gautam Sethi; Glenn K Bonney; Wei-Peng Yong; Edward Kai-Hua Chow; Eliza Li Shan Fong; Lingzhi Wang; Boon-Cher Goh
Journal:  Biomark Res       Date:  2022-03-10
  10 in total

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