In-depth analysis shows synergy between erlotinib and miR-34a.
In-depth analysis shows synergy between erlotinib and miR-34a.
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DOI:
10.1371/journal.pone.0089105
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Bader AG
中科院分区:
文献类型:
--
作者:
Zhao J;Kelnar K;Bader AG
Tyrosine kinase inhibitors directed against epidermal growth factor receptor (EGFR-TKI), such as erlotinib, are effective in a limited fraction of non-small cell lung cancer (NSCLC). However, the majority of NSCLC and other cancer types remain resistant. Therapeutic miRNA mimics modeled after endogenous tumor suppressor miRNAs inhibit tumor growth by repressing multiple oncogenes at once and, therefore, may be used to augment drug sensitivity. Here, we investigated the relationship of miR-34a and erlotinib and determined the therapeutic activity of the combination in NSCLC cells with primary and acquired erlotinib resistance. The drug combination was also tested in a panel of hepatocellular carcinoma cells (HCC), a cancer type known to be refractory to erlotinib. Using multiple analytical approaches, drug-induced inhibition of cancer cell proliferation was determined to reveal additive, antagonistic or synergistic effects. Our data show a strong synergistic interaction between erlotinib and miR-34a mimics in all cancer cells tested. Synergy was observed across a range of different dose levels and drug ratios, reducing IC50 dose requirements for erlotinib and miR-34a by up to 46-fold and 13-fold, respectively. Maximal synergy was detected at dosages that provide a high level of cancer cell inhibition beyond the one that is induced by the single agents alone and, thus, is of clinical relevance. The data suggest that a majority of NSCLC and other cancers previously not suited for erlotinib may prove sensitive to the drug when used in combination with a miR-34a-based therapy.
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影响因子:
11.2
作者:
Bader AG;Brown D;Winkler M
通讯作者:
Winkler M
影响因子:
4.5
作者:
Lal A;Thomas MP;Altschuler G;Navarro F;O'Day E;Li XL;Concepcion C;Han YC;Thiery J;Rajani DK;Deutsch A;Hofmann O;Ventura A;Hide W;Lieberman J
通讯作者:
Lieberman J
影响因子:
5.3
作者:
Kawano, Osamu;Sasaki, Hidefumi;Fujii, Yoshitaka
通讯作者:
Fujii, Yoshitaka
影响因子:
64.8
作者:
He, Lin;He, Xingyue;Hannon, Gregory J.
通讯作者:
Hannon, Gregory J.
DOI:
10.1038/nrd4140
发表时间:
2013-11
期刊:
Nature reviews. Drug discovery
影响因子:
--
作者:
Ling H;Fabbri M;Calin GA
通讯作者:
Calin GA