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In vitro Development of Chemotherapy and Targeted Therapy Drug-Resistant Cancer Cell Lines: A Practical Guide with Case Studies

Overview of attention for article published in Frontiers in oncology, March 2014
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Title
In vitro Development of Chemotherapy and Targeted Therapy Drug-Resistant Cancer Cell Lines: A Practical Guide with Case Studies
Published in
Frontiers in oncology, March 2014
DOI 10.3389/fonc.2014.00040
Pubmed ID
Authors

Martina McDermott, Alex J. Eustace, Steven Busschots, Laura Breen, John Crown, Martin Clynes, Norma O’Donovan, Britta Stordal

Abstract

The development of a drug-resistant cell line can take from 3 to 18 months. However, little is published on the methodology of this development process. This article will discuss key decisions to be made prior to starting resistant cell line development; the choice of parent cell line, dose of selecting agent, treatment interval, and optimizing the dose of drug for the parent cell line. Clinically relevant drug-resistant cell lines are developed by mimicking the conditions cancer patients experience during chemotherapy and cell lines display between two- and eight-fold resistance compared to their parental cell line. Doses of drug administered are low, and a pulsed treatment strategy is often used where the cells recover in drug-free media. High-level laboratory models are developed with the aim of understanding potential mechanisms of resistance to chemotherapy agents. Doses of drug are higher and escalated over time. It is common to have difficulty developing stable clinically relevant drug-resistant cell lines. A comparative selection strategy of multiple cell lines or multiple chemotherapeutic agents mitigates this risk and gives insight into which agents or type of cell line develops resistance easily. Successful selection strategies from our research are presented. Pulsed-selection produced platinum or taxane-resistant large cell lung cancer (H1299 and H460) and temozolomide-resistant melanoma (Malme-3M and HT144) cell lines. Continuous selection produced a lapatinib-resistant breast cancer cell line (HCC1954). Techniques for maintaining drug-resistant cell lines are outlined including; maintaining cells with chemotherapy, pulse treating with chemotherapy, or returning to master drug-resistant stocks. The heterogeneity of drug-resistant models produced from the same parent cell line with the same chemotherapy agent is explored with reference to P-glycoprotein. Heterogeneity in drug-resistant cell lines reflects the heterogeneity that can occur in clinical drug resistance.

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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 618 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
India 2 <1%
United States 2 <1%
Brazil 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Portugal 1 <1%
Denmark 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 606 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 157 25%
Student > Master 87 14%
Student > Bachelor 72 12%
Researcher 71 11%
Student > Doctoral Student 35 6%
Other 66 11%
Unknown 130 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 172 28%
Agricultural and Biological Sciences 117 19%
Medicine and Dentistry 65 11%
Pharmacology, Toxicology and Pharmaceutical Science 38 6%
Engineering 19 3%
Other 58 9%
Unknown 149 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2020.
All research outputs
#14,928,462
of 25,394,764 outputs
Outputs from Frontiers in oncology
#4,150
of 22,440 outputs
Outputs of similar age
#118,414
of 235,955 outputs
Outputs of similar age from Frontiers in oncology
#15
of 44 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,440 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 235,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 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 65% of its contemporaries.