Evidence map›Paper›PMID 29351231›Full record

ArticleGenes2018

Molecular Network-Based Identification of Competing Endogenous RNAs in Thyroid Carcinoma.

Minjia Lu, Xingyu Xu, Baohang Xi, Qi Dai, Chenli Li, Li Su, Xiaonan Zhou, Min Tang, Yuhua Yao, Jialiang Yang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Article
  9. Molecular Network-Based Drug Prediction in Thyroid Cancer.International journal of molecular sciences · 2019
    Article
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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 4 institutions in 2 countries.

Minjia LuCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China. luminjia1120@163.com.
Xingyu XuCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China. xingyuxu821@163.com.
Baohang XiCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China. xibaohang@sina.com.
Qi DaiCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China. daiailiu2004@aliyun.com.
Chenli LiSchool of Mathematics and Statistics, Hainan Normal University, Haikou 570100, China. lcl904624834@live.com.
Li SuSchool of Mathematics and Statistics, Hainan Normal University, Haikou 570100, China. andy_suran@sina.com.
Xiaonan ZhouInstitute of Basic Medical Sciences, Wannan Medical College, Hefei 241000, China. zhouxnan820@163.com.
Min TangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA. boymin2010@163.com.
Yuhua YaoSchool of Mathematics and Statistics, Hainan Normal University, Haikou 570100, China. yaoyuhua@hainnu.edu.cn.
Jialiang YangSchool of Mathematics and Statistics, Hainan Normal University, Haikou 570100, China. jialiang.yang@mssm.edu.
Zhejiang Sci-Tech University · CNHainan Normal University · CNIcahn School of Medicine at Mount Sinai · USWannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNAs may act as competing endogenous RNAs (ceRNAs), a critical mechanism in determining gene expression regulations in many cancers. However, the roles of ceRNAs in thyroid carcinoma remains elusive. In this study, we have developed a novel pipeline called Molecular Network-based Identification of ceRNA (MNIceRNA) to identify ceRNAs in thyroid carcinoma. MNIceRNA first constructs micro RNA (miRNA)-messenger RNA (mRNA)long non-coding RNA (lncRNA) networks from miRcode database and weighted correlation network analysis (WGCNA), based on which to identify key drivers of differentially expressed RNAs between normal and tumor samples. It then infers ceRNAs of the identified key drivers using the long non-coding competing endogenous database (lnCeDB). We applied the pipeline into The Cancer Genome Atlas (TCGA) thyroid carcinoma data. As a result, 598 lncRNAs, 1025 mRNAs, and 90 microRNA (miRNAs) were inferred to be differentially expressed between normal and thyroid cancer samples. We then obtained eight key driver miRNAs, among which hsa-mir-221 and hsa-mir-222 were key driver RNAs identified by both miRNA-mRNA-lncRNA and WGCNA network. In addition, hsa-mir-375 was inferred to be significant for patients' survival with 34 associated ceRNAs, among which

Indexed as

competing endogenous RNAdifferentially expressed RNAslong non-coding RNAregulatory networkthyroid carcinomaWGCNA

Identifiers

PMID29351231
PMCPMC5793195
OpenAlexW2788158283

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.