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RETRACTED ARTICLE: EGFR and MET receptor tyrosine kinase–altered microRNA expression induces tumorigenesis and gefitinib resistance in lung cancers

Overview of attention for article published in Nature Medicine, December 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
patent
1 patent
peer_reviews
1 peer review site

Citations

dimensions_citation
356 Dimensions

Readers on

mendeley
232 Mendeley
citeulike
2 CiteULike
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Title
RETRACTED ARTICLE: EGFR and MET receptor tyrosine kinase–altered microRNA expression induces tumorigenesis and gefitinib resistance in lung cancers
Published in
Nature Medicine, December 2011
DOI 10.1038/nm.2577
Pubmed ID
Authors

Michela Garofalo, Giulia Romano, Gianpiero Di Leva, Gerard Nuovo, Young-Jun Jeon, Apollinaire Ngankeu, Jin Sun, Francesca Lovat, Hansjuerg Alder, Gerolama Condorelli, Jeffrey A Engelman, Mayumi Ono, Jin Kyung Rho, Luciano Cascione, Stefano Volinia, Kenneth P Nephew, Carlo M Croce

Abstract

The involvement of the MET oncogene in de novo and acquired resistance of non-small cell lung cancers (NSCLCs) to tyrosine kinase inhibitors (TKIs) has previously been reported, but the precise mechanism by which MET overexpression contributes to TKI-resistant NSCLC remains unclear. MicroRNAs (miRNAs) negatively regulate gene expression, and their dysregulation has been implicated in tumorigenesis. To understand their role in TKI-resistant NSCLCs, we examined changes in miRNA that are mediated by tyrosine kinase receptors. Here we report that miR-30b, miR-30c, miR-221 and miR-222 are modulated by both epidermal growth factor (EGF) and MET receptors, whereas miR-103 and miR-203 are controlled only by MET. We showed that these miRNAs have important roles in gefitinib-induced apoptosis and epithelial-mesenchymal transition of NSCLC cells in vitro and in vivo by inhibiting the expression of the genes encoding BCL2-like 11 (BIM), apoptotic peptidase activating factor 1 (APAF-1), protein kinase C ɛ (PKC-ɛ) and sarcoma viral oncogene homolog (SRC). These findings suggest that modulation of specific miRNAs may provide a therapeutic approach for the treatment of NSCLCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
United Kingdom 3 1%
United States 3 1%
Spain 2 <1%
Italy 1 <1%
Australia 1 <1%
Canada 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Other 5 2%
Unknown 211 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 27%
Student > Ph. D. Student 56 24%
Student > Master 22 9%
Student > Bachelor 18 8%
Student > Doctoral Student 13 6%
Other 44 19%
Unknown 17 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 98 42%
Medicine and Dentistry 58 25%
Biochemistry, Genetics and Molecular Biology 38 16%
Chemistry 4 2%
Pharmacology, Toxicology and Pharmaceutical Science 3 1%
Other 5 2%
Unknown 26 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2022.
All research outputs
#2,365,937
of 24,885,505 outputs
Outputs from Nature Medicine
#3,917
of 9,111 outputs
Outputs of similar age
#17,274
of 253,481 outputs
Outputs of similar age from Nature Medicine
#37
of 127 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,111 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 104.3. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 253,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.