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A long non-coding RNA HOTTIP expression is associated with disease progression and predicts outcome in small cell lung cancer patients

Overview of attention for article published in Molecular Cancer, October 2017
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Title
A long non-coding RNA HOTTIP expression is associated with disease progression and predicts outcome in small cell lung cancer patients
Published in
Molecular Cancer, October 2017
DOI 10.1186/s12943-017-0729-1
Pubmed ID
Authors

Yanqin Sun, Yuanyuan Zhou, Yifeng Bai, Qiongyao Wang, Jiarong Bao, Yingshan Luo, Ying Guo, Linlang Guo

Abstract

Despite progress in treatment of small cell lung cancer (SCLC), the biology of the tumor still remains poorly understood. Recently, we globally investigated the contributions of lncRNA in SCLC with a special focus on sponge regulatory network. Here we report lncRNA HOTTIP, which is specifically amplified in SCLC, is associated with SCLC proliferation and poor prognosis of patients. RT-qPCR was used to investigate the expression of HOTTIP in SCLC tissues and cell lines. The role of HOTTIP in SCLC cell proliferation was demonstrated by CCK8 assay, colony formation assay, flow cytometry analysis and in vivo SCLC xenograft model in nude mice through HOTTIP loss- and gain-of-function effects. Western blot assay was used to evaluate gene expression in cell lines at protein level. RNA pull-down, Mass spectrometry and RNA binding protein immunoprecipitation (RIP) were performed to confirm the molecular mechanism of HOTTIP involved in SCLC progression. We found that HOTTIP was overexpressed in SCLC tissues, and its expression was correlated with the clinical stage and the shorter survival time of SCLC patients. Moreover, HOTTIP knockdown could impair cell proliferation, affect the cell cycle and inhibit tumor growth of mice, while HOTTIP overexpression might enhance cell proliferation and cell cycle in vitro and in vivo. Mechanistic investigations showed that HOTTIP functions as an oncogene in SCLC progression by sponging miR-574-5p and affecting the expression of polycomb group protein EZH1. Overall, we identified that HOTTIP was involved in SCLC tumorigenesis through the ceRNA network "HOTTIP/miR-574-5p/EZH1". Our findings not only illuminate how HOTTIP confers an oncogenic function in SCLC pathogenesis, but also underscore a novel gene expression governing hallmarks in the disease.

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Unspecified 2 7%
Other 1 3%
Other 4 14%
Unknown 12 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 17%
Unspecified 2 7%
Medicine and Dentistry 2 7%
Chemistry 2 7%
Sports and Recreations 1 3%
Other 3 10%
Unknown 14 48%
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 13 November 2017.
All research outputs
#14,957,541
of 23,006,268 outputs
Outputs from Molecular Cancer
#980
of 1,730 outputs
Outputs of similar age
#193,303
of 326,542 outputs
Outputs of similar age from Molecular Cancer
#3
of 20 outputs
Altmetric has tracked 23,006,268 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 1,730 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 326,542 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 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.