Evidence map›Paper›PMID 27886062›Full record

ArticleInternational journal of molecular sciences2016

Microarray Expression Profiling of Long Non-Coding RNAs Involved in Nasopharyngeal Carcinoma Metastasis.

Xin Wen, Xinran Tang, Yingqin Li, Xianyue Ren, Qingmei He, Xiaojing Yang, Jian Zhang, Yaqin Wang, Jun Ma, Na Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Xin WenSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. wenxin1@sysucc.org.cn.
Xinran TangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. tangxr@sysucc.org.cn.
Yingqin LiSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. liyingq@sysucc.org.cn.
Xianyue RenSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. renxy@sysucc.org.cn.
Qingmei HeSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. heqm@sysucc.org.cn.
Xiaojing YangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. yangxiaoj@sysucc.org.cn.
Jian ZhangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. zhangjian@sysucc.org.cn.
Yaqin WangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. wangyaq@sysucc.org.cn.
Jun MaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. majun2@mail.sysu.edu.cn.
Na LiuSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China. liun1@sysucc.org.cn.
State Key Laboratory of Oncology in South ChinaSun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has demonstrated a significant role for long non-coding RNAs (lncRNAs) in tumorigenesis. However, their functions in nasopharyngeal carcinoma (NPC) metastasis remain largely unknown. In this study, a model comparing high and low metastatic NPC cell lines (5-8F vs. 6-10B and S18 vs. S26) was constructed to determine the expression profile of lncRNAs using the microarray analysis, and we found 167 lncRNAs and 209 mRNAs were differentially expressed. Bioinformatic analysis indicated that the dysregulated mRNAs participated in important biological regulatory functions in NPC. Validation of 26 significantly dysregulated lncRNAs by qRT-PCR showed the expression patterns of 22 lncRNAs were in accordance with the microarray data. Furthermore, the expression level of ENST00000470135, which was the most upregulated lncRNA in high metastatic cell lines, was significantly higher in NPC cell lines and tissues with lymph node metastasis (LNM) and knocking down ENST00000470135 suppressed the migration, invasion and proliferation of NPC cells in vitro. In conclusion, our study revealed expression patterns of lncRNAs in NPC metastasis. The dysregulated lncRNAs may act as novel biomarkers and therapeutic targets for NPC.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticCarcinogenesisCarcinomaCase-Control StudiesCell Line, TumorCell MovementComputational BiologyHumansLymphatic MetastasisMicroarray AnalysisNasopharyngeal CarcinomaNasopharyngeal NeoplasmsOligonucleotide Array Sequence AnalysisOligoribonucleotides, AntisenseRNA, Long NoncodingOligoribonucleotides, AntisenseRNA, Long NoncodingRNA, Messengerlong non-coding RNAmetastasismicroarraynasopharyngeal carcinoma

Identifiers

PMID27886062
PMCPMC5133950
OpenAlexW2553677952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.