↓ Skip to main content

Strategies for monitoring and combating resistance to combination kinase inhibitors for cancer therapy

Overview of attention for article published in Genome Medicine, April 2017
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
5 X users
patent
2 patents

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Strategies for monitoring and combating resistance to combination kinase inhibitors for cancer therapy
Published in
Genome Medicine, April 2017
DOI 10.1186/s13073-017-0431-3
Pubmed ID
Authors

Leanne G. Ahronian, Ryan B. Corcoran

Abstract

Targeted therapies such as kinase inhibitors and monoclonal antibodies have dramatically altered cancer care in recent decades. Although these targeted therapies have improved patient outcomes in several cancer types, resistance ultimately develops to these agents. One potential strategy proposed to overcome acquired resistance involves taking repeat tumor biopsies at the time of disease progression, to identify the specific molecular mechanism driving resistance in an individual patient and to select a new agent or combination of agents capable of surmounting that specific resistance mechanism. However, recent studies sampling multiple metastatic lesions upon acquired resistance, or employing "liquid biopsy" analyses of circulating tumor DNA, have revealed that multiple, heterogeneous resistance mechanisms can emerge in distinct tumor subclones in the same patient. This heterogeneity represents a major clinical challenge for devising therapeutic strategies to overcome resistance. In many cancers, multiple drug resistance mechanisms often converge to reactivate the original pathway targeted by the drug. This convergent evolution creates an opportunity to target a common signaling node to overcome resistance. Furthermore, integration of liquid biopsy approaches into clinical practice may allow real-time monitoring of emerging resistance alterations, allowing intervention prior to standard detection of radiographic progression. In this review, we discuss recent advances in understanding tumor heterogeneity and resistance to targeted therapies, focusing on combination kinase inhibitors, and we discuss approaches to address these issues in the clinic.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 20 19%
Student > Bachelor 12 11%
Student > Master 7 7%
Other 5 5%
Other 14 13%
Unknown 25 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 23%
Medicine and Dentistry 18 17%
Agricultural and Biological Sciences 12 11%
Chemistry 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 16 15%
Unknown 25 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 April 2021.
All research outputs
#5,996,044
of 24,187,394 outputs
Outputs from Genome Medicine
#1,016
of 1,496 outputs
Outputs of similar age
#89,904
of 313,676 outputs
Outputs of similar age from Genome Medicine
#24
of 30 outputs
Altmetric has tracked 24,187,394 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,496 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 31st percentile – i.e., 31% 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 313,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.