Evidence map›Paper›PMID 25387074›Full record

ReviewInternational journal of molecular sciences2014

Long non-coding RNAs: critical players in hepatocellular carcinoma.

Jin Sun, Beibei Bie, Shu Zhang, Jun Yang, Zongfang Li

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

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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

5 authors.

Jin SunNational-Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi'an Jiaotong University, Xi'an 710004, China. jinsun2012@outlook.com.
Beibei BieNational-Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi'an Jiaotong University, Xi'an 710004, China. biepeipei@mail.xjtu.edu.cn.
Shu ZhangNational-Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi'an Jiaotong University, Xi'an 710004, China. drzhangshu@163.com.
Jun YangNational-Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi'an Jiaotong University, Xi'an 710004, China. yangjundr@163.com.
Zongfang LiNational-Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi'an Jiaotong University, Xi'an 710004, China. lzf2568@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a complex disease with multiple underlying pathogenic mechanisms caused by a variety of etiologic factors. Emerging evidence showed that long non-coding RNAs (lncRNAs), with size larger than 200 nucleotides (nt), play important roles in various types of cancer development and progression. In recent years, some dysregulated lncRNAs in HCC have been revealed and roles for several of them in HCC have been characterized. All these findings point to the potential of lncRNAs as prospective novel therapeutic targets in HCC. In this review, we summarize known dysregulated lncRNAs in HCC, and review potential biological roles and underlying molecular mechanisms of lncRNAs in HCC. Additionally, we discussed prospects of lncRNAs as potential biomarker and therapeutic target for HCC. In conclusion, this paper will help us gain better understanding of molecular mechanisms by which lncRNAs perform their function in HCC and also provide general strategies and directions for future research.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsCarcinoma, HepatocellularHumansLiverLiver NeoplasmsRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID25387074
PMCPMC4264176

What OpenQuestion holds

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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.