Evidence map›Paper›PMID 31350524›Full record

ArticleJournal of human genetics2019

Computational identification and analysis of early diagnostic biomarkers for kidney cancer.

Tang Tang, Xiaoyan Du, Xiaoyi Zhang, Wenling Niu, Chunhua Li, Jianjun Tan

Abstract read
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In one paragraph

Article in Journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 11 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

6 authors at 1 institution in 1 country.

Tang TangCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.ORCID http://orcid.org/0000-0002-6782-4851
Xiaoyan DuCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Xiaoyi ZhangCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China. zhangxiaoyi@bjut.edu.cn.
Wenling NiuCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Chunhua LiCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Jianjun TanCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Beijing University of Technology · CN

Funding

Beijing Municipal Commission of Education (Beijing Municipal Education Commission) KM201410005030National Natural Science Foundation of China (National Science Foundation of China) 31100523
6 · The paper itself

Abstract

Renal cell carcinoma is one of the most common urinary system tumors in adults, it is usually asymptomatic in its early stage and the patients are often diagnosed late. MicroRNA has a higher diagnostic accuracy than traditional markers and may become a new type of early diagnostic biomarker for kidney cancer. Three computational methods and several bioinformatic methods including PPI network, overall survival analysis and enrichment analysis were used to identify the significant differentially expressed miRNAs. Thirteen miRNAs that were significantly differentially expressed in RCC patients were identified, 10 of them have been proved to be associated with kidney cancer in other studies, miR-576, miR-616 and miR-133a-2 are three newly discovered biomarkers of RCC in this study. We found that the target genes of miR-576 (CUL3 and RAC1) are involved in the regulation of multiple cancer-related biological pathways, and the target gene of miR-616 (ASB13 and FBXW2) has been reported to be associated with the development of other cancers. Our findings may have guiding significance for the early diagnosis of renal cell carcinoma.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellComputational BiologyCullin ProteinsF-Box ProteinsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKidney NeoplasmsMicroRNAsPeptide FragmentsProtein Interaction Mapsrac1 GTP-Binding ProteinSurvival AnalysisBiomarkers, TumorCUL3 protein, humanCullin ProteinsF-Box ProteinsFBXW2 protein, humanMicroRNAsMIRN133 microRNA, humanMIRN576 microRNA, humanMIRN616 microRNA, humanPeptide Fragmentsrac1 GTP-Binding ProteinRac1 GTP-binding protein (17-32)

Identifiers

PMID31350524
OpenAlexW2963449514

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.