↓ Skip to main content

Clinical Applications of Circulating Tumor Cells and Circulating Tumor DNA as Liquid Biopsy

Overview of attention for article published in Cancer Discovery, May 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Citations

dimensions_citation
1101 Dimensions

Readers on

mendeley
1062 Mendeley
citeulike
1 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
Clinical Applications of Circulating Tumor Cells and Circulating Tumor DNA as Liquid Biopsy
Published in
Cancer Discovery, May 2016
DOI 10.1158/2159-8290.cd-15-1483
Pubmed ID
Authors

Catherine Alix-Panabières, Klaus Pantel

Abstract

"Liquid biopsy" focusing on the analysis of circulating tumor cells (CTC) and circulating cell-free tumor DNA (ctDNA) in the blood of patients with cancer has received enormous attention because of its obvious clinical implications for personalized medicine. Analyses of CTCs and ctDNA have paved new diagnostic avenues and are, to date, the cornerstones of liquid biopsy diagnostics. The present review focuses on key areas of clinical applications of CTCs and ctDNA, including detection of cancer, prediction of prognosis in patients with curable disease, monitoring systemic therapies, and stratification of patients based on the detection of therapeutic targets or resistance mechanisms. The application of CTCs and ctDNA for the early detection of cancer is of high public interest, but it faces serious challenges regarding specificity and sensitivity of the current assays. Prediction of prognosis in patients with curable disease can already be achieved in several tumor entities, particularly in breast cancer. Monitoring the success or failure of systemic therapies (i.e., chemotherapy, hormonal therapy, or other targeted therapies) by sequential measurements of CTCs or ctDNA is also feasible. Interventional studies on treatment stratification based on the analysis of CTCs and ctDNA are needed to implement liquid biopsy into personalized medicine. Cancer Discov; 6(5); 1-13. ©2016 AACR.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 1,062 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Portugal 2 <1%
Malaysia 1 <1%
France 1 <1%
India 1 <1%
Ireland 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 1051 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 175 16%
Researcher 172 16%
Student > Master 117 11%
Student > Bachelor 109 10%
Other 69 6%
Other 177 17%
Unknown 243 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 270 25%
Medicine and Dentistry 219 21%
Agricultural and Biological Sciences 103 10%
Engineering 47 4%
Chemistry 32 3%
Other 100 9%
Unknown 291 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 23 November 2023.
All research outputs
#1,436,444
of 23,578,918 outputs
Outputs from Cancer Discovery
#688
of 3,762 outputs
Outputs of similar age
#25,121
of 299,540 outputs
Outputs of similar age from Cancer Discovery
#9
of 84 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 81% 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 299,540 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.