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MicroRNA-145 as ideal biomarker for the diagnosis of various carcinomas

Overview of attention for article published in Tumor Biology, December 2014
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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2 X users
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4 patents

Citations

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6 Dimensions

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16 Mendeley
Title
MicroRNA-145 as ideal biomarker for the diagnosis of various carcinomas
Published in
Tumor Biology, December 2014
DOI 10.1007/s13277-014-2886-9
Pubmed ID
Authors

Yanmei Hou, Xiang Wang, Yan Chen, Shengqun Mu

Abstract

Increasing evidences indicated that microRNAs (miRNAs) can serve as a noninvasive biomarker with a high sensitivity and specificity for the early diagnosis of various cancers, among which, microRNA-145 (miRNA-145, miR-145) was verified to have strong relationship to irregular apoptosis, thus making it useful in the early detection of cancers. However, contradictory results on its diagnostic accuracy and reliability are still existed in individual studies. Therefore, we conducted this meta-analysis of the relevant published literatures to systematically evaluate the diagnostic value of miR-145 in the prediction of cancers. The sensitivity and specificity of the included studies were used to construct the summary receiver operator characteristic (SROC) curve and calculate the area under the SROC curve (AUC). All analyses were performed using the STATA 12.0 software. Thirteen studies from nine articles were involved in our meta-analysis. The pooled parameters calculated from all studies are as follows: sensitivity, 0.71 (95 % confidence interval (CI) 0.59-0.81); specificity, 0.75 (95 % CI 0.66-0.83); positive likelihood ratio (PLR), 2.9 (95 % CI 1.9-4.4); negative likelihood ratio (NLR), 0.38 (95 % CI 0.25-0.58); and diagnostic odds ratio (DOR), 8 (95 % CI 3-17). In addition, subgroup analyses based on ethnicity suggested that miR-145 as a biomarker on the detection of cancers for Caucasian population showed a higher sensitivity and specificity than for Asian population. In conclusion, the current meta-analysis showed that miR-145 holds a high accuracy in distinguishing cancer patients from healthy controls with noninvasiveness and high efficiency. However, large-scale prospective studies and additional improvements are urgently needed to confirm our findings and its utilization for routine clinical diagnosis in future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 3 19%
Researcher 3 19%
Lecturer 2 13%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 1 6%
Readers by discipline Count As %
Medicine and Dentistry 6 38%
Agricultural and Biological Sciences 6 38%
Biochemistry, Genetics and Molecular Biology 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 October 2023.
All research outputs
#4,393,998
of 24,294,767 outputs
Outputs from Tumor Biology
#128
of 2,635 outputs
Outputs of similar age
#59,468
of 368,787 outputs
Outputs of similar age from Tumor Biology
#6
of 149 outputs
Altmetric has tracked 24,294,767 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,635 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 95% 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 368,787 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 149 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 96% of its contemporaries.