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Michigan Publishing

Serum MicroRNA Signature Predicts Response to High-Dose Radiation Therapy in Locally Advanced Non-Small Cell Lung Cancer

Overview of attention for article published in International Journal of Radiation Oncology, Biology, Physics, September 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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6 X users
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1 Google+ user
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1 Redditor

Citations

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29 Dimensions

Readers on

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54 Mendeley
Title
Serum MicroRNA Signature Predicts Response to High-Dose Radiation Therapy in Locally Advanced Non-Small Cell Lung Cancer
Published in
International Journal of Radiation Oncology, Biology, Physics, September 2017
DOI 10.1016/j.ijrobp.2017.08.039
Pubmed ID
Authors

Yilun Sun, Peter G. Hawkins, Nan Bi, Robert T. Dess, Muneesh Tewari, Jason W.D. Hearn, James A. Hayman, Gregory P. Kalemkerian, Theodore S. Lawrence, Randall K. Ten Haken, Martha M. Matuszak, Feng-Ming Kong, Shruti Jolly, Matthew J. Schipper

Abstract

To assess the utility of circulating serum microRNAs (c-miRNAs) to predict response to high-dose radiation therapy for locally advanced non-small cell lung cancer (NSCLC). Data from 80 patients treated from 2004 to 2013 with definitive standard- or high-dose radiation therapy for stages II-III NSCLC as part of 4 prospective institutional clinical trials were evaluated. Pretreatment serum levels of 62 miRNAs were measured by quantitative reverse transcription-polymerase chain reaction array. We combined miRNA data and clinical factors to generate a dose-response score (DRS) for predicting overall survival (OS) after high-dose versus standard-dose radiation therapy. Elastic net Cox regression was used for variable selection and parameter estimation. Model assessment and tuning parameter selection were performed through full cross-validation. The DRS was also correlated with local progression, distant metastasis, and grade 3 or higher cardiac toxicity using Cox regression, and grade 2 or higher esophageal and pulmonary toxicity using logistic regression. Eleven predictive miRNAs were combined with clinical factors to generate a DRS for each patient. In patients with low DRS, high-dose radiation therapy was associated with significantly improved OS compared to treatment with standard-dose radiation therapy (hazard ratio 0.22). In these patients, high-dose radiation also conferred lower risk of distant metastasis and local progression, although the latter association was not statistically significant. Patients with high DRS exhibited similar rates of OS regardless of dose (hazard ratio 0.78). The DRS did not correlate with treatment-related toxicity. Using c-miRNA signature and clinical factors, we developed a DRS that identified a subset of patients with locally advanced NSCLC who derive an OS benefit from high-dose radiation therapy. This DRS may guide dose escalation in a patient-specific manner.

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

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 26%
Student > Ph. D. Student 9 17%
Researcher 6 11%
Other 5 9%
Student > Doctoral Student 4 7%
Other 4 7%
Unknown 12 22%
Readers by discipline Count As %
Medicine and Dentistry 17 31%
Biochemistry, Genetics and Molecular Biology 11 20%
Agricultural and Biological Sciences 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 18 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 March 2019.
All research outputs
#7,359,319
of 25,382,440 outputs
Outputs from International Journal of Radiation Oncology, Biology, Physics
#3,284
of 11,080 outputs
Outputs of similar age
#107,768
of 323,619 outputs
Outputs of similar age from International Journal of Radiation Oncology, Biology, Physics
#88
of 267 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,080 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 68% 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 323,619 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 65% of its contemporaries.
We're also able to compare this research output to 267 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 66% of its contemporaries.