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Urinary circulating DNA detection for dynamic tracking of EGFR mutations for NSCLC patients treated with EGFR-TKIs

Overview of attention for article published in Clinical and Translational Oncology, July 2016
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Citations

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71 Dimensions

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89 Mendeley
Title
Urinary circulating DNA detection for dynamic tracking of EGFR mutations for NSCLC patients treated with EGFR-TKIs
Published in
Clinical and Translational Oncology, July 2016
DOI 10.1007/s12094-016-1534-9
Pubmed ID
Authors

S. Chen, J. Zhao, L. Cui, Y. Liu

Abstract

Changes in EGFR profiles of non small cell lung cancer (NSCLC) patients correlates to clinical outcome. Extracting quality tumor tissue remains a challenge for molecular profiling. Our study aims to ascertain the clinical relevance of urinary cell free DNA as an alternative tumor material source. 150 patients with activating EGFR mutation and received EGFR-TKIs were recruited to participate in the serial monitoring study. Matched primary tumor samples were taken together with blood and urine specimens before the initiation of TKIs. The EGFR mutation testing was performed and quantified using ddPCR. For serial time point measurements, urine and blood samples were extracted at 1-month intervals for duration of 9 months. Urinary ctDNA yielded a close agreement of 88 % on EGFR mutation status when compared to primary tissue at baseline. Almost all samples detected via urine specimens were uncovered in plasma samples. Analysis of urinary cell free DNA at different time points showed a strong correlation to treatment efficacy. Interestingly, a secondary EGFR mutation T790M was detected for 53 % of the patients during monitoring. The results were corroborated with the plasma ctDNA analysis. The T790M+ group had a reduced median survival when compared to the wildtype group. Urinary cell free DNA may be a potential alternative to conventional primary tissue based EGFR mutation testing. Our findings showed that the assay sensitivity was comparable to results from blood plasma. Urinary samples being noninvasive and readily available have clinical utility for monitoring of EGFR TKI treatment.

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

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 15%
Student > Ph. D. Student 11 12%
Student > Master 10 11%
Student > Bachelor 10 11%
Other 8 9%
Other 19 21%
Unknown 18 20%
Readers by discipline Count As %
Medicine and Dentistry 27 30%
Biochemistry, Genetics and Molecular Biology 25 28%
Nursing and Health Professions 3 3%
Agricultural and Biological Sciences 3 3%
Unspecified 2 2%
Other 9 10%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 July 2020.
All research outputs
#6,064,125
of 22,881,964 outputs
Outputs from Clinical and Translational Oncology
#247
of 1,309 outputs
Outputs of similar age
#103,585
of 365,664 outputs
Outputs of similar age from Clinical and Translational Oncology
#6
of 16 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,309 research outputs from this source. They receive a mean Attention Score of 3.7. 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 365,664 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 16 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 62% of its contemporaries.