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Usage Information

Transcription-controlled gene therapy against tumor angiogenesis
Shoshana Greenberger, Aviv Shaish, Nira Varda-Bloom, Keren Levanon, Eyal Breitbart, Iris Goldberg, Iris Barshack, Israel Hodish, Niva Yaacov, Livnat Bangio, Tanya Goncharov, David Wallach, Dror Harats
Shoshana Greenberger, Aviv Shaish, Nira Varda-Bloom, Keren Levanon, Eyal Breitbart, Iris Goldberg, Iris Barshack, Israel Hodish, Niva Yaacov, Livnat Bangio, Tanya Goncharov, David Wallach, Dror Harats
View: Text | PDF
Article Genetics

Transcription-controlled gene therapy against tumor angiogenesis

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Abstract

A major drawback of current approaches to antiangiogenic gene therapy is the lack of tissue-specific targeting. The aim of this work was to trigger endothelial cell–specific apoptosis, using adenoviral vector–mediated delivery of a chimeric death receptor derived from the modified endothelium-specific pre-proendothelin-1 (PPE-1) promoter. In the present study, we constructed an adenovirus-based vector that targets tumor angiogenesis. Transcriptional control was achieved by use of a modified endothelium-specific promoter. Expression of a chimeric death receptor, composed of Fas and TNF receptor 1, resulted in specific apoptosis of endothelial cells in vitro and sensitization of cells to the proapoptotic effect of TNF-α. The antitumoral activity of the vectors was assayed in two mouse models. In the model of B16 melanoma, a single systemic injection of virus to the tail vein caused growth retardation of tumor and reduction of tumor mass with central tumor necrosis. When the Lewis lung carcinoma lung-metastasis model was applied, i.v. injection of vector resulted in reduction of lung-metastasis mass, via an antiangiogenic mechanism. Moreover, by application of the PPE-1–based transcriptional control, a humoral immune response against the transgene was avoided. Collectively, these data provide evidence that transcriptionally controlled, angiogenesis-targeted gene therapy is feasible.

Authors

Shoshana Greenberger, Aviv Shaish, Nira Varda-Bloom, Keren Levanon, Eyal Breitbart, Iris Goldberg, Iris Barshack, Israel Hodish, Niva Yaacov, Livnat Bangio, Tanya Goncharov, David Wallach, Dror Harats

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 745 42
PDF 217 12
Figure 631 11
Citation downloads 164 0
Totals 1,757 65
Total Views 1,822
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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