Evidence map›Paper›PMID 30152187›Full record

ArticleCancer science2018

Integrated analysis of long noncoding RNA associated-competing endogenous RNA as prognostic biomarkers in clear cell renal carcinoma.

Hang Yin, Xiaoyuan Wang, Xue Zhang, Yan Wang, Yangyang Zeng, Yudi Xiong, Tianqi Li, Rongjie Lin, Qian Zhou, Huan Ling and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Review
  3. Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network.International journal of molecular sciences · 2024
    Article
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  9. The LncRNA DUXAP10 Could Function as a Promising Oncogene in Human Cancer.Frontiers in cell and developmental biology · 2022
    Review
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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

12 authors at 2 institutions in 1 country.

Hang YinHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0002-0260-9130
Xiaoyuan WangDepartment of Oncology, Harbin medical University Cancer Hospital, Harbin, Heilongjiang Province, China.
Xue ZhangHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yan WangHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yangyang ZengHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yudi XiongHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Tianqi LiHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Rongjie LinHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qian ZhouHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Huan LingHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fuxiang ZhouHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yunfeng ZhouHubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNHarbin Medical University · CN

Funding

National Natural Science Foundation of China 81472799
6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant carcinomas and its molecular mechanisms remain unclear. Long noncoding RNA (lncRNA) could bind sites of miRNA which affect the expression of mRNA according to the competing endogenous (ceRNA) theory. The aim of the present study was to construct a ceRNA network and to identify key lncRNA to predict survival prognosis. We identified differentially expressed mRNA, lncRNA and miRNA between tumor tissues and normal tissues from The Cancer Genome Atlas database. Then, using bioinformatics tools, we explored the connection of 89 lncRNA, 10 miRNA and 22 mRNA, and we constructed the ceRNA network. Furthermore, we analyzed the functions and pathways of 22 differentially expressed mRNA. Then, univariate and multivariate Cox regression analyses of these 89 lncRNA and overall survival were explored. Nine lncRNA were finally screened out in the training group. The patients were divided into high-risk and low-risk groups according to the 9 lncRNA and low-risk scores having better clinical overall survival (P < .01). Furthermore, the receiver operating characteristic curve demonstrates the predicted role of the 9 lncRNA. The 9-lncRNA signature was successfully proved in the testing group and the entire group. Finally, multivariate Cox regression analysis and stratification analysis further proved that the 9-lncRNA signature was an independent factor to predict survival. In summary, the present study provides a deeper understanding of the lncRNA-related ceRNA network in ccRCC and suggests that the 9-lncRNA signature could serve as an independent biomarker to predict survival in ccRCC patients.

Indexed as

Gene Expression Regulation, NeoplasticAgedBiomarkers, TumorCarcinoma, Renal CellFemaleGene Regulatory NetworksHumansKaplan-Meier EstimateKidney NeoplasmsMaleMicroRNAsMiddle AgedPrognosisRNA, Long NoncodingRNA, MessengerROC CurveBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, Messengerbiomarkercompeting endogenous RNA networklong non-coding RNArenal cell carcinomaThe Cancer Genome Atlas

Identifiers

PMID30152187
PMCPMC6172067
OpenAlexW2889342610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.