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Epidermal growth factor signals regulate dihydropyrimidine dehydrogenase expression in EGFR-mutated non-small-cell lung cancer

Overview of attention for article published in BMC Cancer, June 2016
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Title
Epidermal growth factor signals regulate dihydropyrimidine dehydrogenase expression in EGFR-mutated non-small-cell lung cancer
Published in
BMC Cancer, June 2016
DOI 10.1186/s12885-016-2392-0
Pubmed ID
Authors

Tetsuro Tominaga, Tomoshi Tsuchiya, Koji Mochinaga, Junichi Arai, Naoya Yamasaki, Keitaro Matsumoto, Takuro Miyazaki, Toshiya Nagasaki, Atsushi Nanashima, Kazuhiro Tsukamoto, Takeshi Nagayasu

Abstract

It has been shown that epidermal growth factor receptor (EGFR) mutation status is associated with 5-fluorouracil (5-FU) sensitivity in non-small-cell lung cancer (NSCLC). However, the relationship between EGFR mutation status and dihydropyrimidine dehydrogenase (DPD), a 5-FU degrading enzyme, is unknown. We elucidated the crosstalk among the EGFR signal cascade, the DPD gene (DPYD), and DPD protein expression via the transcription factor Sp1 and the effect of EGFR mutation status on the crosstalk. In the PC9 (exon19 E746-A750) study, EGF treatment induced up-regulation of both Sp1 and DPD; gefitinib, an EGFR-tyrosine kinase inhibitor (EGFR-TKI), and mithramycin A, a specific Sp-1 inhibitor, suppressed them. Among EGFR-mutated (PC9, HCC827; exon19 E746-A750 and H1975; exon21 L858R, T790M, gefitinib resistant) and -non-mutated (H1437, H1299) cell lines, EGF administration increased DPYD mRNA expression only in mutated cells (p < 0.05). Accordingly, gefitinib inhibited DPD protein expression only in PC9 and HCC827 cells, and mithramycin A inhibited it in EGFR-mutated cell lines, but not in wild-type. FU treatment decreased the level of cell viability more in gefitinib-treated EGFR-TKI sensitive cell lines. Further, combination treatment of FU and mithramycin A suppressed cell viability even in a gefitinib resistant cell line. The EGFR signal cascade regulates DPD expression via Sp1 in EGFR mutant cells. These results might be a step towards new therapies targeting Sp1 and DPD in NSCLC with different EGFR mutant status.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Other 6 27%
Student > Ph. D. Student 4 18%
Researcher 3 14%
Student > Postgraduate 2 9%
Professor 2 9%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 11 50%
Biochemistry, Genetics and Molecular Biology 6 27%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Nursing and Health Professions 1 5%
Other 0 0%
Unknown 2 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 June 2016.
All research outputs
#20,332,117
of 22,876,619 outputs
Outputs from BMC Cancer
#6,505
of 8,324 outputs
Outputs of similar age
#293,313
of 340,764 outputs
Outputs of similar age from BMC Cancer
#131
of 184 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,324 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.