Literature DB >> 11248576

Pharmacological aspects of targeting cancer gene therapy to endothelial cells.

H H Sedlacek1.   

Abstract

Targeting cancer gene therapy to endothelial cells seems to be a rational approach, because (a) a clear correlation exists between proliferation of tumor vessels and tumor growth and malignancy, (b) differences of cell membrane structures between tumor endothelial cells and normal endothelial cells exist which could be used for targeting of vectors and (c) tumor endothelial cells are accessible to vector vehicles in spite of the peculiarities of the transvascular and interstitial blood flow in tumors. Based on the knowledge on the pharmacokinetics of macromolecules it can be concluded that vectors targeting tumor endothelial cells should own a long blood residence time after intravascular application. This precondition seems to be fulfilled best by vectors exhibiting a slight anionic charge. A long blood residence time would allow the formation of a high amount of complexes between tumor endothelial cells and vector particles. Such high amount of complexes should enable a high transfection rate of tumor endothelial cells. In view of their pharmacokinetic behavior nonviral vectors seem to be more suitable for in vivo targeting tumor endothelial cells than viral vectors. Specific binding of nonviral vectors to tumor endothelial cells should be enhanced by multifunctional ligands and the transduction efficiency should be improved by cationic carriers. Effector genes should encode proteins potent enough to induce reactions which eliminate the tumor tissue. To be effective to that degree such proteins should induce self-amplifying antitumor reactions. Examples for proteins which have the potential to induce such self-amplifying tumor reactions are proteins endowed with antiangiogenic and antiproliferative activity, enzymes which convert prodrugs into drugs and possibly also proteins which induce embolization of tumor vessels. The pharmacological data for such examples are discussed in detail.

Entities:  

Mesh:

Year:  2001        PMID: 11248576     DOI: 10.1016/s1040-8428(00)00113-x

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  7 in total

Review 1.  Tumor vasculature directed drug targeting: applying new technologies and knowledge to the development of clinically relevant therapies.

Authors:  Grietje Molema
Journal:  Pharm Res       Date:  2002-09       Impact factor: 4.200

2.  Design and synthesis of dual-ligand modified chitosan as a liver targeting vector.

Authors:  Houxiang Chen; Min Li; Tao Wan; Qichang Zheng; Mingrong Cheng; Shiqi Huang; Yong Wang
Journal:  J Mater Sci Mater Med       Date:  2011-11-22       Impact factor: 3.896

3.  Targeting adenovirus gene delivery to activated tumour-associated vasculature via endothelial selectins.

Authors:  Houria Bachtarzi; Mark Stevenson; Vladimir Šubr; Karel Ulbrich; Leonard W Seymour; Kerry D Fisher
Journal:  J Control Release       Date:  2010-10-18       Impact factor: 9.776

4.  Targeting of liposomes via PSGL1 for enhanced tumor accumulation.

Authors:  Robert Carlisle; Leonard W Seymour; Constantin C Coussios
Journal:  Pharm Res       Date:  2012-09-20       Impact factor: 4.200

5.  Antiangiogenic gene therapy of cancer: recent developments.

Authors:  Anita Tandle; Dan G Blazer; Steven K Libutti
Journal:  J Transl Med       Date:  2004-06-25       Impact factor: 5.531

6.  A combination of radiosurgery and soluble tissue factor enhances vascular targeting for experimental glioblastoma.

Authors:  Jian Tu; Zhiqiang Hu; Zhongbin Chen
Journal:  Biomed Res Int       Date:  2013-11-06       Impact factor: 3.411

7.  EndoDB: a database of endothelial cell transcriptomics data.

Authors:  Shawez Khan; Federico Taverna; Katerina Rohlenova; Lucas Treps; Vincent Geldhof; Laura de Rooij; Liliana Sokol; Andreas Pircher; Lena-Christin Conradi; Joanna Kalucka; Luc Schoonjans; Guy Eelen; Mieke Dewerchin; Tobias Karakach; Xuri Li; Jermaine Goveia; Peter Carmeliet
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

  7 in total

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