Literature DB >> 16566288

In search of p53 target genes for the therapeutic manipulation of cancer.

Suxing Liu1, Cynthia Seidel-Dugan.   

Abstract

As a tumor suppressor protein, p53 plays a crucial role in cancer development. Direct associations between p53, apoptosis and drug response suggest that targeting genes/gene products downstream of p53 may have clinical benefits. The completion of the human genome project and the availability of microarray technology have led to new ways in which to define the global regulatory network of p53 and to search for oncogenes in the p53 pathway. A crucial step toward antitumor drug discovery is the mapping of p53 transcriptomes onto cancer phenomes. In this review, recent developments in the genome-wide search of p53 target genes are discussed, along with current efforts in high-throughput antitumor target discovery in the p53 pathway and recent progress in the pharmacological modulation of targets downstream of p53 for effective cancer therapy.

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Year:  2006        PMID: 16566288

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  4 in total

1.  Genome-wide expression profiling reveals transcriptomic variation and perturbed gene networks in androgen-dependent and androgen-independent prostate cancer cells.

Authors:  Ajay P Singh; Sangeeta Bafna; Kunal Chaudhary; Ganesh Venkatraman; Lynette Smith; James D Eudy; Sonny L Johansson; Ming-Fong Lin; Surinder K Batra
Journal:  Cancer Lett       Date:  2007-10-30       Impact factor: 8.679

2.  Factors associated with willingness to provide biospecimens for genetics research among African American cancer survivors.

Authors:  Altovise T Ewing; Nnenna Kalu; Gloria Cain; Lori H Erby; Luisel J Ricks-Santi; Eva Tetteyfio-Kidd Telemaque; Denise M Scott
Journal:  J Community Genet       Date:  2019-03-14

3.  Enhanced tumor suppression in vitro and in vivo by co-expression of survivin-specific siRNA and wild-type p53 protein.

Authors:  Y Shao; Y Liu; C Shao; J Hu; X Li; F Li; L Zhang; D Zhao; L Sun; X Zhao; D J Kopecko; D V Kalvakolanu; Y Li; D Q Xu
Journal:  Cancer Gene Ther       Date:  2010-08-13       Impact factor: 5.987

4.  Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53.

Authors:  Junbai Wang; Tianhai Tian
Journal:  BMC Bioinformatics       Date:  2010-01-19       Impact factor: 3.169

  4 in total

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