Literature DB >> 16082382

Comparative studies of suppression of malignant cancer cell phenotype by antisense oligo DNA and small interfering RNA.

N Hiroi1, A Funahashi, H Kitano.   

Abstract

One of the distinguishing features of malignant tumor cells is the ability to proliferate in an anchorage-independent manner; methods that effectively suppress this phenotype may be applicable to the therapeutic inhibition of the malignancy of cancers. Interfering RNA is a potentially powerful tool for cancer therapy because of its specificity of target selection and remarkably high efficiency in target mRNA suppression. We studied the use of two knockdown strategies, antisense oligo DNA (AS-ODN) and small interfering RNA (siRNA), and showed how the anchorage-independent proliferation of malignant cells could be blocked efficiently. Anchorage-independent proliferation of rat fibroblasts transformed with v-src was suppressed with only a single 1-microM dose of AS-ODN; similar suppression using siRNA required treatment with 1 nM siRNA every 12 h. With our experimental system, the molecular stability of AS-ODN allowed the use of a simple treatment regimen to control the amount of the target molecule, providing that the treatment dose was sufficiently high. In comparison, siRNA treatment was effective at lower doses, but more frequent treatment was necessary to achieve the same suppression of proliferation.

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Year:  2006        PMID: 16082382     DOI: 10.1038/sj.cgt.7700869

Source DB:  PubMed          Journal:  Cancer Gene Ther        ISSN: 0929-1903            Impact factor:   5.987


  4 in total

1.  Development of a targeted siRNA delivery system using FOL-PEG-PEI conjugate.

Authors:  Bijesh K Biswal; Niladri B Debata; Rama S Verma
Journal:  Mol Biol Rep       Date:  2009-10-09       Impact factor: 2.316

2.  Toxicity and efficacy evaluation of multiple targeted polymalic acid conjugates for triple-negative breast cancer treatment.

Authors:  Jose Portilla-Arias; Rameshwar Patil; Hui Ding; Julia Y Ljubimova; Satoshi Inoue; Janet L Markman; Arthur Rekechenetskiy; Bindu Konda; Pallavi R Gangalum; Alexandra Chesnokova; Alexander V Ljubimov; Keith L Black; Eggehard Holler
Journal:  J Drug Target       Date:  2013-09-16       Impact factor: 5.121

3.  Relationship between reduction in rice (Nipponbare) leaf blade size under elevated CO2 and miR396-GRF module.

Authors:  Yonghyun Kim; Sumire Takahashi; Mitsue Miyao
Journal:  Plant Signal Behav       Date:  2022-12-31

4.  Assessing uncertainty in model parameters based on sparse and noisy experimental data.

Authors:  Noriko Hiroi; Maciej Swat; Akira Funahashi
Journal:  Front Physiol       Date:  2014-04-04       Impact factor: 4.566

  4 in total

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