Evidence map›Paper›PMID 31016944›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2019

[Comprehensive analysis of the aberrantly expressed profiles of lncRNAs, miRNAs and the regulation network of the associated ceRNAs in clear cell renal cell carcinoma].

Wanting Hou, Qiulin Tang, Feng Bi

Open access · greenAbstract read
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
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

3 authors at 1 institution in 1 country.

Wanting HouDepartment of Abdominal Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P.R.China;Laboratory of Molecular Targeted Therapy in Oncology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
Qiulin TangLaboratory of Molecular Targeted Therapy in Oncology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
Feng BiDepartment of Abdominal Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P.R.China;Laboratory of Molecular Targeted Therapy in Oncology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.bifeng@scu.edu.cn.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the differential expression profiles of the lncRNAs, miRNAs, mRNAs and ceRNAs, and their implication in the prognosis in clear cell renal cell carcinoma (CCRCC), the large sample genomics analysis technologies were used in this study. The RNA and miRNA sequencing data of CCRCC were obtained from The Cancer Genome Atlas (TCGA) database, and R software was used for gene expression analysis and survival analysis. Cytoscape software was used to construct the ceRNA network. The results showed that a total of 1 570 lncRNAs, 54 miRNAs, and 17 mRNAs were differentially expressed in CCRCC, and most of their expression levels were up-regulated (false discovery rate < 0.01 and absolute log fold change > 2). The ceRNA regulatory network showed the interaction between 89 differentially expressed lncRNAs and 9 differentially expressed miRNAs. Further survival analysis revealed that 38 lncRNAs (including COL18A1-AS1, TCL6, LINC00475, UCA1, WT1-AS, HOTTIP, PVT1, etc.) and 2 miRNAs (including miR-21 and miR-155) were correlated with the overall survival time of CCRCC (

Indexed as

Carcinoma, Renal CellHumansKidney NeoplasmsMicroRNAsRNA, Long NoncodingTranscriptomeMicroRNAsRNA, Long Noncodingclear cell renal cell carcinomacompeting endogenous RNAlong noncoding RNAmicroRNAThe Cancer Genome Atlas

Identifiers

PMID31016944
PMCPMC9929909
OpenAlexW2993443064

What OpenQuestion holds

Textmetadata
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.