Evidence map›Paper›PMID 33688464›Full record

ArticleAnalytical cellular pathology (Amsterdam)2021

Comparison of the Fatty Acid Metabolism Pathway in Pan-Renal Cell Carcinoma: Evidence from Bioinformatics.

Ping Wu, Yingkun Xu, Jiayi Li, Xiaowei Li, Peizhi Zhang, Ningke Ruan, Cong Zhang, Panpan Sun, Qifei Wang, Guangzhen Wu

Open access · goldAbstract readComparative Study
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2021. 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
0.2field-weighted citation impact, top 58% 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, 3 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

10 authors at 5 institutions in 2 countries.

Ping WuDepartment of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yingkun XuDepartment of Urology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-0100-9117
Jiayi LiSchool of Business, Hanyang University, Seoul, Republic of Korea.
Xiaowei LiDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Peizhi ZhangDepartment of Urology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Ningke RuanThe Nursing College of Zhengzhou University, Zhengzhou, China.
Cong ZhangDepartment of Pain Management, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Panpan SunDepartment of Pain Management, The Second Hospital of Shandong University, Jinan, China.
Qifei WangDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0002-9365-0373
Guangzhen WuDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0002-2300-8465
Dalian Medical University · CNShandong University · CNHanyang University · KRSecond Hospital of Shandong University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed and compared the potential role of fatty acid metabolism pathways in three subtypes of renal cell carcinoma. Biological pathways that were abnormally up- and downregulated were identified through gene set variation analysis in the subtypes. Abnormal downregulation of the fatty acid metabolism pathway occurred in all three renal cell carcinoma subtypes. Alteration of the fatty acid metabolism pathway was vital in the development of pan-renal cell carcinoma. Bioinformatics methods were used to obtain a panoramic view of copy number variation, single-nucleotide variation, mRNA expression, and the survival landscape of fatty acid metabolism pathway-related genes in pan-renal cell carcinoma. Most importantly, we used genes related to the fatty acid metabolism pathway to establish a prognostic-related risk model in the three subtypes of renal cell carcinoma. The data will be valuable for future clinical treatment and scientific research.

Indexed as

Carcinoma, Renal CellComputational BiologyFatty AcidsHumansKidney NeoplasmsFatty Acids

Identifiers

PMID33688464
PMCPMC7925032
OpenAlexW3130811262

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.