Literature DB >> 31519573

Inhibition of Tumor Growth and Sensitization to Sunitinib by RNA Interference Targeting Programmed Death-ligand 1 in Mouse Renal Cell Carcinoma RenCa Model.

Takuto Hara1, Hideaki Miyake2, Nobuyuki Hinata1, Masato Fujisawa1.   

Abstract

BACKGROUND/AIM: There are several unresolved issues regarding the combined treatment with an immune checkpoint inhibitor and anti-angiogenic agent for renal cell carcinoma (RCC) patients. The purpose of this study was to address the inhibitory effects of programmed death-ligand 1 (PD-L1) expression on growth and sensitivity to sunitinib in the mouse RCC RenCa model.
MATERIALS AND METHODS: We established RenCa/sh-PD-L1 by transfecting RenCa cells with a plasmid carrying a short hairpin RNA targeted against PD-L1. The growth pattern of RenCa/sh-PD-L1 with or without sunitinib was compared to that of RenCa cells transfected with control plasmid alone (RenCa/Co).
RESULTS: No significant difference in growth or sensitivity to sinitinib was noted between RenCa/sh-PD-L1 and RenCa/Co cells in vitro. The tumor volume in mice subcutaneously injected with RenCa/sh-PD-L1 was significantly smaller than that with RenCa/Co. Treatment of mice bearing each tumor with sunitinib resulted in a significant reduction of the RenCa/sh-PD-L1 tumor compared to the RenCa/Co tumor. Moreover, infiltration by CD8+ T cells of RenCa/sh-PD-L1 tumors was significantly higher than that of RenCa/Co tumors, irrespective of treatment with sunitinib.
CONCLUSION: Suppressed expression of PD-L1 could increase tumor-infiltrating CD8+ T cells and result in growth inhibition as well as enhanced sensitivity to sunitinib in the RenCa model. Copyright
© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  CD8+ T cells; PD-L1; RenCa; Renal cell carcinoma; sunitinib

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Year:  2019        PMID: 31519573     DOI: 10.21873/anticanres.13656

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  2 in total

1.  Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression.

Authors:  Lindsay S Cooley; Justine Rudewicz; Wilfried Souleyreau; Andrea Emanuelli; Arturo Alvarez-Arenas; Kim Clarke; Francesco Falciani; Maeva Dufies; Diether Lambrechts; Elodie Modave; Domitille Chalopin-Fillot; Raphael Pineau; Damien Ambrosetti; Jean-Christophe Bernhard; Alain Ravaud; Sylvie Négrier; Jean-Marc Ferrero; Gilles Pagès; Sebastien Benzekry; Macha Nikolski; Andreas Bikfalvi
Journal:  Mol Cancer       Date:  2021-10-20       Impact factor: 27.401

Review 2.  Combination of Anti-Angiogenics and Checkpoint Inhibitors for Renal Cell Carcinoma: Is the Whole Greater Than the Sum of Its Parts?

Authors:  Eric Jonasch; Michael B Atkins; Simon Chowdhury; Paul Mainwaring
Journal:  Cancers (Basel)       Date:  2022-01-27       Impact factor: 6.639

  2 in total

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