Evidence map›Paper›PMID 31739630›Full record

ArticleInternational journal of molecular sciences2019

A Gene Signature of Survival Prediction for Kidney Renal Cell Carcinoma by Multi-Omic Data Analysis.

Fuyan Hu, Wenying Zeng, Xiaoping Liu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. Spotlight onGenes · 2025
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  7. S-acylation of CaChronic diseases and translational medicine · 2024
    Review
  8. Review
  9. Article
  10. Journal of Cancer · 2024
    Article
  11. Article
  12. Inflammation and tumor microenvironment.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. 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

3 authors.

Fuyan HuDepartment of Statistics, Faculty of Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430070, China.
Wenying ZengDepartment of Water Resources and Hydro-elctricity Engineering, College of Water Resources and Architectural Engineering, Northwest A&F University, No.3 Taicheng Road, Yangling 712100, China.
Xiaoping LiuSchool of Mathematics and Statistics, Shandong University at Weihai, Weihai 264209, China.

Funding

Fundamental Research Funds for the Central Universities WUT: 2017IVA068National Natural Science Foundation of China 61903285
6 · The paper itself

Abstract

Kidney renal cell carcinoma (KIRC), which is the most common subtype of kidney cancer, has a poor prognosis and a high mortality rate. In this study, a multi-omics analysis is performed to build a multi-gene prognosis signature for KIRC. A combination of a DNA methylation analysis and a gene expression data analysis revealed 863 methylated differentially expressed genes (MDEGs). Seven MDEGs (

Indexed as

Biomarkers, TumorTranscriptomeCarcinoma, Renal CellComputational BiologyDNA MethylationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateKidney NeoplasmsMaleMutationNeoplasm StagingNomogramsPrognosisBiomarkers, Tumorkidney renal cell carcinomaLASSO Cox regressionmulti-omics analysismultivariate stepwise analysisprognosis signatures

Identifiers

PMID31739630
PMCPMC6888680

What OpenQuestion holds

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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.