Evidence map›Paper›PMID 37636479›Full record

ArticleHeliyon2023

Screening of renal clear cell carcinoma prognostic marker genes based on TCGA and GTEx chip data and construction of transcription factor-related regulatory networks.

Wei Zhu, Lingfeng Wu, Wenhua Xie, Gaoyue Zhang, Yanqin Gu, Yansong Hou, Yi He

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Wei ZhuDepartment of Urology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, PR China.
Lingfeng WuDepartment of Urology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, PR China.
Wenhua XieDepartment of Urology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, PR China.
Gaoyue ZhangDepartment of Urology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, PR China.
Yanqin GuDepartment of Urology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, PR China.
Yansong HouDepartment of Urology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, PR China.
Yi HeDepartment of Urology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, PR China.
First Hospital of Jiaxing · CNJiaxing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify prognostic marker genes for renal clear cell carcinoma (RCCC) and construct a regulatory network of transcription factors and prognostic marker genes. Three hundred eighty-six genes were significantly differentially expressed in RCCC, with functional enrichment analysis suggesting a relationship between these genes and kidney function and development. Cox and Lasso regression analyses revealed 10 prognostic marker genes (RNASET2, MSC, DPEP1, FGF1, ATP1A1, CLDN10, PLG, SLC44A1, PCSK1N, and LGI4) that accurately predicted RCCC patient prognosis. Upstream transcription factors of these genes were also identified, and in vitro experiments suggested that ATP1A1 may play a key role in RCCC patient prognosis. The findings of this study provide important insights into the molecular mechanisms of RCCC and may have implications for personalized treatment strategies.

Indexed as

ATP1A1Lasso regression analysisMultiple-factor Cox analysisPrognostic marker genePrognostic risk assessment modelRenal clear cell carcinomaSingle-factor Cox analysis

Identifiers

PMID37636479
PMCPMC10458329
OpenAlexW4385463176

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.