Literature DB >> 19281300

Antitumor therapy based on cellular competition.

Jordi Martinez-Quintanilla1, Manel Cascallo, Cristina Fillat, Ramon Alemany.   

Abstract

A major obstacle for the efficacy of cancer gene therapy is the need to transduce a high proportion of tumor cells with genes that directly or indirectly cause their death. During the formation of certain organs, cells compete among themselves to colonize the whole tissue. We reasoned that cell competition could be used to increase the proportion of cells that become transfected in a tumor. For this, a transgene that provides a selective advantage to the transfected cells should be used. If the same gene conferred a suicide mechanism the tumor could be eradicated after a period of selection. Bystander effect of transfected cells over neighboring nonmodified cells may eliminate tumors even with incomplete replacement of tumor cells. To test this strategy a competitive advantage was provided to colon cancer cells, using a gene encoding a fusion protein of dihydrofolate reductase (DHFR) and thymidine kinase (TK). DHFR confers resistance to methotrexate (MTX) and TK confers sensitivity to ganciclovir (GCV). Modified cells were also transduced with green fluorescent protein and parental cells with red fluorescent protein. In vitro and in vivo experiments were performed, using various proportions of modified cells and applying positive selection with MTX followed by negative selection with GCV. In vitro, cell competition was evident. Under MTX treatment, tumor cells transfected with the DHFR-TK fusion gene efficiently replaced the parental cells (from 0.1 to 90% in 35 days). After this positive selection period, negative selection with GCV eliminated the transfected cells. In vivo, positive selection was also achieved and resulted in a statistically significant therapeutic effect.

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Year:  2009        PMID: 19281300     DOI: 10.1089/hum.2008.144

Source DB:  PubMed          Journal:  Hum Gene Ther        ISSN: 1043-0342            Impact factor:   5.695


  3 in total

1.  Controlling the Evolution of Resistance.

Authors:  Rutao Luo; Lamont Cannon; Jason Hernandez; Michael J Piovoso; Ryan Zurakowski
Journal:  J Process Control       Date:  2011-03-01       Impact factor: 3.666

2.  Dynamics of melanoma tumor therapy with vesicular stomatitis virus: explaining the variability in outcomes using mathematical modeling.

Authors:  D M Rommelfanger; C P Offord; J Dev; Z Bajzer; R G Vile; D Dingli
Journal:  Gene Ther       Date:  2011-09-15       Impact factor: 5.250

3.  Applying ecological and evolutionary theory to cancer: a long and winding road.

Authors:  Frédéric Thomas; Daniel Fisher; Philippe Fort; Jean-Pierre Marie; Simon Daoust; Benjamin Roche; Christoph Grunau; Céline Cosseau; Guillaume Mitta; Stephen Baghdiguian; François Rousset; Patrice Lassus; Eric Assenat; Damien Grégoire; Dorothée Missé; Alexander Lorz; Frédérique Billy; William Vainchenker; François Delhommeau; Serge Koscielny; Raphael Itzykson; Ruoping Tang; Fanny Fava; Annabelle Ballesta; Thomas Lepoutre; Liliana Krasinska; Vjekoslav Dulic; Peggy Raynaud; Philippe Blache; Corinne Quittau-Prevostel; Emmanuel Vignal; Hélène Trauchessec; Benoit Perthame; Jean Clairambault; Vitali Volpert; Eric Solary; Urszula Hibner; Michael E Hochberg
Journal:  Evol Appl       Date:  2012-11-16       Impact factor: 5.183

  3 in total

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