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Targeting Chromatin-Mediated Transcriptional Control of Gene Expression in Non-Small Cell Lung Cancer Therapy: Preclinical Rationale and Clinical Results

Overview of attention for article published in Drugs, September 2015
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Title
Targeting Chromatin-Mediated Transcriptional Control of Gene Expression in Non-Small Cell Lung Cancer Therapy: Preclinical Rationale and Clinical Results
Published in
Drugs, September 2015
DOI 10.1007/s40265-015-0461-3
Pubmed ID
Authors

Alice Pasini, Angelo Delmonte, Anna Tesei, Daniele Calistri, Emanuele Giordano

Abstract

Targeting chromatin-mediated transcriptional control of gene expression is nowadays considered a promising new strategy, transcending conventional anticancer therapy. As a result, molecules acting as DNA demethylating agents or histone deacetylase inhibitors (HDACi) have entered the clinical arena in the last decade. Given the evidence suggesting that epigenetic regulation is significantly involved in lung cancer development and progression, the potential of epigenetically active compounds to modulate gene expression and reprogram cancer cells to a less aggressive phenotype is, at present, a promising strategy. Accordingly, a large number of compounds that interact with the epigenetic machinery of gene expression regulation are now being developed and tested as potential antitumor agents, either alone or in combination with standard therapy. The preclinical rationale and clinical data concerning the pharmacological modulation of chromatin organization in non-small cell lung cancer (NSCLC) is described in this review. Although preclinical data suggest that a pharmacological treatment targeting the epigenetic machinery has relevant activity over the neoplastic phenotype of NSCLC cells, clinical results are disappointing, leading only to short periods of disease stabilization in NSCLC patients. This evidence calls for a significant rethinking of strategies for an effective epigenetic therapy of NSCLC. The synergistic effect of concurrent epigenetic therapies, use at low doses, the priming of current treatments with previous epigenetic drugs, and the selection of clinical trial populations based on epigenetic biomarkers/signatures appear to be the cornerstones of a mature therapeutic strategy aiming to establish new regimens for reprogramming malignant cells and improving the clinical history of affected patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Bachelor 3 17%
Researcher 2 11%
Student > Master 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 6 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Medicine and Dentistry 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Arts and Humanities 1 6%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 5 28%
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 16 September 2015.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from Drugs
#2,982
of 3,254 outputs
Outputs of similar age
#193,044
of 267,706 outputs
Outputs of similar age from Drugs
#31
of 35 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 267,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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.