Evidence map›Paper›PMID 30344735›Full record

ArticleOncology letters2018

Identification of eight key miRNAs associated with renal cell carcinoma: A meta-analysis.

Guanghui Ying, Ruilan Wu, Min Xia, Xiapei Fei, Qi En He, Chenqin Zha, Fuquan Wu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

7 authors at 1 institution in 1 country.

Guanghui YingDepartment of Nephrology, Beilun District People's Hospital of Zhejiang Province, Ningbo, Zhejiang 315800, P.R. China.
Ruilan WuPostanesthetic Care Unit, Ningbo Medical Center Lihuili Eastern Hospital, Ningbo, Zhejiang 315000, P.R. China.
Min XiaDepartment of Nephrology, Beilun District People's Hospital of Zhejiang Province, Ningbo, Zhejiang 315800, P.R. China.
Xiapei FeiDepartment of Nephrology, Beilun District People's Hospital of Zhejiang Province, Ningbo, Zhejiang 315800, P.R. China.
Qi En HeDepartment of Nephrology, Beilun District People's Hospital of Zhejiang Province, Ningbo, Zhejiang 315800, P.R. China.
Chenqin ZhaDepartment of Nephrology, Beilun District People's Hospital of Zhejiang Province, Ningbo, Zhejiang 315800, P.R. China.
Fuquan WuDepartment of Nephrology, Beilun District People's Hospital of Zhejiang Province, Ningbo, Zhejiang 315800, P.R. China.
Ningbo Medical Center Lihuili Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is the most common renal carcinoma in the human kidney. To date, to the best of our knowledge, there are no biomarkers for the early monitoring and diagnosis of RCC patients. The present study aimed to develop deeper insight into the molecular mechanisms of microRNAs (miRNAs/miRs) in the regulation of RCC development and to reveal candidate miRNA biomarkers in human RCC. A meta-analysis was used to integrate the published and independent RCC miRNA expression profiling investigations that compared the miRNA expression profiles in RCC samples with control samples. The meta-signature miRNA target genes were then predicted in TargetScan. The predicted targets were further analyzed using Gene Ontology and pathway enrichment analysis with the Database for Annotation, Visualization and Integrated Discovery online tool, and then the transcription factors of meta-signature miRNA target genes were identified in Tfacts. A total of 7 publicly available and independent RCC miRNA expression profiling datasets were collected, and 2 upregulated (hsa-miR-155-5p and hsa-miR-210-5p) and 6 downregulated (hsa-miR-138-5p, hsa-miR-141-5p, hsa-miR-200c-5p, hsa-miR-362-5p, hsa-miR-363-5p and hsa-miR-429) meta-signature miRNAs in renal carcinoma were identified. The targeted gene enrichment analysis indicated that the meta-signature miRNAs may influence several pathways that participate in cancerogenesis, including the 'rap1 signaling pathway', 'renal cell carcinoma' and 'microRNAs in cancer'. Overall, the present meta-analysis identified 2 upregulated and 6 downregulated meta-signature miRNAs from 7 renal carcinoma datasets, the dysregulated miRNAs that may contribute to kidney carcinoma development. This research may reveal candidate miRNA biomarkers in human RCC.

Indexed as

meta-analysismicroRNAspathwayrenal cell carcinomatranscription factor

Identifiers

PMID30344735
PMCPMC6176358
OpenAlexW2889453110

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.