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A three-lncRNA signature predicts overall survival and disease-free survival in patients with esophageal squamous cell carcinoma

Overview of attention for article published in BMC Cancer, February 2018
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3 tweeters

Citations

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34 Dimensions

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18 Mendeley
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Title
A three-lncRNA signature predicts overall survival and disease-free survival in patients with esophageal squamous cell carcinoma
Published in
BMC Cancer, February 2018
DOI 10.1186/s12885-018-4058-6
Pubmed ID
Authors

Guo-Wei Huang, Yu-Jie Xue, Zhi-Yong Wu, Xiu-E Xu, Jian-Yi Wu, Hui-Hui Cao, Ying Zhu, Jian-Zhong He, Chun-Quan Li, En-Min Li, Li-Yan Xu

Abstract

Increasing evidence shows that dysregulated long non-coding RNAs (lncRNAs) can serve as potential biomarkers for cancer prognosis. However, lncRNA signatures, as potential prognostic biomarkers for esophageal squamous cell carcinoma (ESCC), have been seldom reported. Based on our previous transcriptome RNA sequencing analysis from 15 paired ESCC tissues and adjacent normal tissues, we selected 10 lncRNAs with high score rank and characterized the expression of those lncRNAs, by qRT-PCR, in 138 ESCC and paired adjacent normal samples. These 138 patients were divided randomly into training (n = 77) and test (n = 59) groups. A prognostic signature of lncRNAs was identified in the training group and validated in the test group and in an independent cohort (n = 119). Multivariable Cox regression analysis evaluated the independence of the signature in overall survival (OS) and disease-free survival (DFS) prediction. GO and KEGG pathway analysis, combined with cell transwell and proliferation assays, are applied to explore the function of the three lncRNAs. A novel three-lncRNA signature, comprised of RP11-366H4.1.1 (ENSG00000248370), LINC00460 (ENSG00000233532) and AC093850.2 (ENSG00000230838), was identified. The signature classified patients into high-risk and low-risk groups with different overall survival (OS) and disease-free survival (DFS). For the training group, median OS: 23.1 months vs. 39.1 months, P < 0.001; median DFS: 15.2 months vs. 33.3 months, P < 0.001. For the test group, median OS: 23 months vs. 59 months, P < 0.001; median DFS: 16.4 months vs. 50.8 months, P < 0.001. For the independent cohort, median OS: 22.4 months vs. 60.4 months, P < 0.001). The signature indicates that patients in the high-risk group show poor OS and DFS, whereas patients with a low-risk group show significantly better outcome. The independence of the signature was validated by multivariable Cox regression analysis. GO and KEGG pathway analysis for 588 protein-coding genes-associated with the three lncRNAs indicated that the three lncRNAs were involved in tumorigenesis. In vitro assays further demonstrated that the three lncRNAs promoted the migration and proliferation of ESCC cells. The three-lncRNA signature is a novel and potential predictor of OS and DFS for patients with ESCC.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 33%
Student > Ph. D. Student 3 17%
Researcher 2 11%
Student > Master 2 11%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 4 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Agricultural and Biological Sciences 3 17%
Medicine and Dentistry 3 17%
Social Sciences 1 6%
Nursing and Health Professions 1 6%
Other 2 11%
Unknown 5 28%

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 15 February 2018.
All research outputs
#9,781,950
of 16,669,654 outputs
Outputs from BMC Cancer
#2,393
of 6,083 outputs
Outputs of similar age
#183,524
of 370,948 outputs
Outputs of similar age from BMC Cancer
#1
of 4 outputs
Altmetric has tracked 16,669,654 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,083 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 60% 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 370,948 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 50% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them