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Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management

Overview of attention for book
Attention for Chapter 4: The Role of Cancer Stem Cells in Recurrent and Drug-Resistant Lung Cancer.
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Chapter title
The Role of Cancer Stem Cells in Recurrent and Drug-Resistant Lung Cancer.
Chapter number 4
Book title
Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management
Published in
Advances in experimental medicine and biology, December 2015
DOI 10.1007/978-3-319-24932-2_4
Pubmed ID
Book ISBNs
978-3-31-924931-5, 978-3-31-924932-2
Authors

Suresh, Raagini, Ali, Shadan, Ahmad, Aamir, Philip, Philip A, Sarkar, Fazlul H, Raagini Suresh, Shadan Ali, Aamir Ahmad, Philip A. Philip, Fazlul H. Sarkar

Editors

Aamir Ahmad, Shirish M. Gadgeel

Abstract

Lung cancer is the leading cause of cancer-related deaths worldwide with a 5-year overall survival rate of less than 20 %. Considering the treatments currently available, this statistics is shocking. A possible explanation for the disconnect between sophisticated treatments and the survival rate can be related to the post-treatment enrichment of Cancer Stem Cells (CSCs), which is one of a sub-set of drug resistant tumor cells with abilities of self-renewal, cancer initiation, and further maintenance of tumors. Lung CSCs have been associated with resistance to radiation and chemotherapeutic treatments. CSCs have also been implicated in tumor recurrence because CSCs are not typically killed after conventional therapy. Investigation of CSCs in determining their role in tumor recurrence and drug-resistance relied heavily on the use of specific markers present in CSCs, including CD133, ALDH, ABCG2, and Nanog. Yet another cell type that is also associated with increased resistance to treatment is epithelial-to-mesenchymal transition (EMT) phenotypic cells. Through the processes of EMT, epithelial cells lose their epithelial phenotype and gain mesenchymal properties, rendering EMT phenotypic cells acquire drug-resistance. In this chapter, we will further discuss the role of microRNAs (miRNAs) especially because miRNA-based therapies are becoming attractive target with respect to therapeutic resistance and CSCs. Finally, the potential role of the natural agents and synthetic derivatives of natural compounds with anti-cancer activity, e.g. curcumin, CDF, and BR-DIM is highlighted in overcoming therapeutic resistance, suggesting that the above mentioned agents could be important for better treatment of lung cancer in combination therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Student > Bachelor 8 11%
Student > Master 8 11%
Researcher 7 10%
Student > Postgraduate 5 7%
Other 7 10%
Unknown 22 31%
Readers by discipline Count As %
Medicine and Dentistry 15 21%
Biochemistry, Genetics and Molecular Biology 15 21%
Pharmacology, Toxicology and Pharmaceutical Science 7 10%
Agricultural and Biological Sciences 6 8%
Immunology and Microbiology 2 3%
Other 5 7%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 November 2016.
All research outputs
#13,961,191
of 22,836,570 outputs
Outputs from Advances in experimental medicine and biology
#2,006
of 4,951 outputs
Outputs of similar age
#197,932
of 390,707 outputs
Outputs of similar age from Advances in experimental medicine and biology
#166
of 426 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,951 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 58% 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 390,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 426 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 59% of its contemporaries.