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Cancer Biology & Therapy
Article . 2003 . Peer-reviewed
Data sources: Crossref
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Tumor Suppressing Gene Therapy

Authors: Bingliang, Fang; Jack A, Roth;

Tumor Suppressing Gene Therapy

Abstract

Tumor-suppressor genes play pivotal roles in maintaining genome integrity and in regulating cell proliferation, differentiation, and apoptosis. Their loss-of-function mutations are related directly to tumorigenesis. Thus, use of tumor-suppressor genes as anticancer therapeutics has been investigated rigorously in both experimental and clinical researches. Transfer of various tumor-suppressor genes directly to cancer cells has been demonstrated to suppress tumor growth via induction of apoptosis and cell-cycle arrest and, in some cases, with evidence for bystander effects. Various studies also have shown that combination of tumor-suppressor gene therapy with conventional anticancer therapy can yield synergistic therapeutic benefits. Clinical trials with tumor-suppressor genes, especially the p53 gene, have demonstrated that the treatment is well tolerated, and; favorable clinical responses, including a pathologically complete responses, have been observed in a subset of patients with advanced disease or with cancers resistant to conventional therapy. Yet, current gene replacement approaches in cancer gene therapy must be improved if they are to have a broader clinical impact. Efficient systemic gene delivery systems will be required ultimately for treatment of metastatic disease. In this review, we have recently summarized achievements in tumor-suppressor gene therapy with a focus on the p53 gene.

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Keywords

Clinical Trials as Topic, Neoplasms, Mutation, Animals, Humans, Genes, Tumor Suppressor, Genetic Therapy, Genes, p53, Combined Modality Therapy

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    37
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
gold
Related to Research communities
Cancer Research