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Evaluation of PD-L1 expression on vortex-isolated circulating tumor cells in metastatic lung cancer

Overview of attention for article published in Scientific Reports, February 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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51 news outlets
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7 X users
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1 Facebook page
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1 Google+ user

Citations

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83 Mendeley
Title
Evaluation of PD-L1 expression on vortex-isolated circulating tumor cells in metastatic lung cancer
Published in
Scientific Reports, February 2018
DOI 10.1038/s41598-018-19245-w
Pubmed ID
Authors

Manjima Dhar, Jessica Wong, James Che, Melissa Matsumoto, Tristan Grogan, David Elashoff, Edward B. Garon, Jonathan W. Goldman, Elodie Sollier Christen, Dino Di Carlo, Rajan P. Kulkarni

Abstract

Metastatic non-small cell lung cancer (NSCLC) is a highly fatal and immunogenic malignancy. Although the immune system is known to recognize these tumor cells, one mechanism by which NSCLC can evade the immune system is via overexpression of programmed cell death ligand 1 (PD-L1). Recent clinical trials of PD-1 and PD-L1 inhibitors have returned promising clinical responses. Important for personalizing therapy, patients with higher intensity staining for PD-L1 on tumor biopsies responded better. Thus, there has been interest in using PD-L1 tumor expression as a criterion for patient selection. Currently available methods of screening involve invasive tumor biopsy, followed by histological grading of PD-L1 levels. Biopsies have a high risk of complications, and only allow sampling from limited tumor sections, which may not reflect overall tumor heterogeneity. Circulating tumor cell (CTC) PD-L1 levels could aid in screening patients, and could supplement tissue PD-L1 biopsy results by testing PD-L1 expression from disseminated tumor sites. Towards establishing CTCs as a screening tool, we developed a protocol to isolate CTCs at high purity and immunostain for PD-L1. Monitoring of PD-L1 expression on CTCs could be an additional biomarker for precision medicine that may help in determining response to immunotherapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Student > Bachelor 11 13%
Student > Master 11 13%
Researcher 7 8%
Other 5 6%
Other 7 8%
Unknown 22 27%
Readers by discipline Count As %
Medicine and Dentistry 17 20%
Biochemistry, Genetics and Molecular Biology 13 16%
Engineering 9 11%
Agricultural and Biological Sciences 7 8%
Chemistry 5 6%
Other 8 10%
Unknown 24 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 408. 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 25 April 2019.
All research outputs
#63,414
of 23,577,761 outputs
Outputs from Scientific Reports
#855
of 127,567 outputs
Outputs of similar age
#1,742
of 440,570 outputs
Outputs of similar age from Scientific Reports
#30
of 3,858 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done particularly well, scoring higher than 99% 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 440,570 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 99% of its contemporaries.
We're also able to compare this research output to 3,858 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.