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Long Non-Coding RNA SPRY4-IT1 Can Predict Poor Prognosis in Digestive System Malignancies: a Meta-Analysis

Overview of attention for article published in Pathology & Oncology Research, September 2017
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Title
Long Non-Coding RNA SPRY4-IT1 Can Predict Poor Prognosis in Digestive System Malignancies: a Meta-Analysis
Published in
Pathology & Oncology Research, September 2017
DOI 10.1007/s12253-017-0327-y
Pubmed ID
Authors

Cheng Sun, Yangyang Ding, Shimin Wang, Wei Hu

Abstract

Recent studies have reported that long non-coding RNA SPRY4 intron transcript 1 (SPRY4-IT1) is abnormally expressed in malignant digestive tumors and associated with prognosis. But its clinical relevance is unclear. Here, we performed a meta-analysis aims to evaluate the prognostic value of SPRY4-IT1 in digestive system malignancies. We systematic search the PubMed, Web of Science, ScienceDirect and Wiley Online Library database to eligible studies. The pooled hazard ratios (HRs) with a 95% confidence interval (95% CI) were calculated to explored the association of lncRNA SPRY4-IT1 with prognosis. Five studies were eligible for analysis, a total of 518 patients were included. Meta-analysis indicated that overexpression of SPRY4-IT1 was associated with poor over survival (OS) (HR = 1.24, 95%CI:0.49-1.98; random-effects model). The clinicopathological parameters analysis further showed that increased expression level of SPRY4-IT1 was positively correlated with lymph node metastasis (HR = 1.45, 95% CI =0.88-2.02; fixed-effects model), TNM stage (HR = 1.24,95% CI = 0.78-1.70; fixed-effects model), and invasion depth (HR = 1.25,95% CI = 0.63-1.88; fixed-effects model). lncRNA SPRY4-IT1 may serve as a potential prognostic marker in malignant digestive tumors.

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The data shown below were collected from the profiles of 3 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 3 50%
Unspecified 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 October 2017.
All research outputs
#14,956,098
of 23,005,189 outputs
Outputs from Pathology & Oncology Research
#278
of 720 outputs
Outputs of similar age
#190,087
of 321,749 outputs
Outputs of similar age from Pathology & Oncology Research
#7
of 24 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 720 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 58% 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 321,749 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 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 58% of its contemporaries.