Literature DB >> 20303523

Establishment and characterization of transplantable, luminescence labeled rat renal cell carcinoma cell lines.

Minoru Kobayashi1, Takashi Murakami, Ryosuke Uchibori, Nicole A L Chun, Eiji Kobayashi, Tatsuo Morita, Keiya Ozawa.   

Abstract

PURPOSE: Since renal cell carcinoma is considered an immunogenic tumor, testing therapeutic strategies has been impeded by the lack of relevant tumor models in immunocompetent animals. Recent advances in bioluminescence imaging permit sensitive in vivo detection and quantification of cells emitting light. Thus, we established bioluminescent rat renal cell carcinoma cell lines for immunocompetent rats.
MATERIALS AND METHODS: The rat renal cell carcinoma cell line ACI-RCC stemming from chemically induced renal cell carcinoma in syngeneic ACI rats was stably transfected with a recombinant retroviral vector encoding luciferase genes derived from fireflies (ACI-RCC-ffLuc) or click beetles (ACI-RCC-cbLuc). Cell line growth patterns were characterized by bioluminescence imaging.
RESULTS: Linear correlations noted observed between cell number and photon counts in each cell type. ACI-RCC-cbLuc emitted light about 500-fold higher than ACI-RCC-ffLuc. When transplanted subcutaneously, only ACI-RCC-ffLuc grew, possibly because of less antigenicity. ACI-RCC-ffLuc photon emission correlated significantly with subcutaneous tumor size. Orthotopic tumor growth and subsequent metastatic spread were monitored with time by increased photon intensity on bioluminescence imaging. Based on ACI-RCC-cbLuc bioluminescent intensity the in vitro screening test allowed the identification of several anticancer agents, including molecules related to human renal cell carcinoma progression.
CONCLUSIONS: The new in vivo rat renal cell carcinoma model with luciferase labeled tumor cells allowed us to monitor tumor growth noninvasively and semiquantitatively by bioluminescence imaging. This model system coupled with in vitro screening permits precise evaluation of tumor behavior in intact animals and determination of the therapeutic efficacy of anticancer agents for renal cell carcinoma. 2010 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20303523     DOI: 10.1016/j.juro.2009.12.090

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  6 in total

1.  Effect of host immunity on metastatic potential in renal cell carcinoma: the assessment of optimal in vivo models to study metastatic behavior of renal cancer cells.

Authors:  Minoru Kobayashi; Tatsuo Morita; Nicole A L Chun; Aya Matsui; Masafumi Takahashi; Takashi Murakami
Journal:  Tumour Biol       Date:  2012-01-05

2.  BMP-2 inhibits tumor-initiating ability in human renal cancer stem cells and induces bone formation.

Authors:  Lin Wang; Paul Park; Frank La Marca; Khoi D Than; Chia-Ying Lin
Journal:  J Cancer Res Clin Oncol       Date:  2014-11-28       Impact factor: 4.553

Review 3.  Choosing The Right Animal Model for Renal Cancer Research.

Authors:  Paweł Sobczuk; Anna Brodziak; Mohammed Imran Khan; Stuti Chhabra; Michał Fiedorowicz; Marlena Wełniak-Kamińska; Kamil Synoradzki; Ewa Bartnik; Agnieszka Cudnoch-Jędrzejewska; Anna M Czarnecka
Journal:  Transl Oncol       Date:  2020-02-22       Impact factor: 4.243

Review 4.  Nanoparticle characterization: state of the art, challenges, and emerging technologies.

Authors:  Eun Jung Cho; Hillary Holback; Karen C Liu; Sara A Abouelmagd; Joonyoung Park; Yoon Yeo
Journal:  Mol Pharm       Date:  2013-03-21       Impact factor: 4.939

Review 5.  A brief review of bioluminescent systems (2019).

Authors:  Aubin Fleiss; Karen S Sarkisyan
Journal:  Curr Genet       Date:  2019-03-08       Impact factor: 3.886

6.  Robustness of Propofol and Sevoflurane on the Perioperative Immune Function of Patients Undergoing Laparoscopic Radical Nephrectomy.

Authors:  Jiming Wang; Shaomin Cui; Liang Kong; Bin Ma; Jianhua Gu
Journal:  J Oncol       Date:  2022-01-30       Impact factor: 4.375

  6 in total

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