↓ Skip to main content

PLOS

In-Depth Analysis Shows Synergy between Erlotinib and miR-34a

Overview of attention for article published in PLOS ONE, February 2014
Altmetric Badge

Mentioned by

twitter
3 X users
patent
4 patents

Readers on

mendeley
88 Mendeley
Title
In-Depth Analysis Shows Synergy between Erlotinib and miR-34a
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0089105
Pubmed ID
Authors

Jane Zhao, Kevin Kelnar, Andreas G. Bader

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Malaysia 1 1%
United Kingdom 1 1%
Brazil 1 1%
Denmark 1 1%
Poland 1 1%
Unknown 81 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 23%
Student > Ph. D. Student 19 22%
Student > Bachelor 11 13%
Student > Master 8 9%
Other 5 6%
Other 11 13%
Unknown 14 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 20%
Agricultural and Biological Sciences 17 19%
Medicine and Dentistry 11 13%
Pharmacology, Toxicology and Pharmaceutical Science 8 9%
Chemistry 7 8%
Other 7 8%
Unknown 20 23%