Evidence map›Paper›PMID 34458018›Full record

ArticlePeerJ2021

Integrated bioinformatics analysis of the NEDD4 family reveals a prognostic value of

Hui Zhao, Junjun Zhang, Xiaoliang Fu, Dongdong Mao, Xuesen Qi, Shuai Liang, Gang Meng, Zewen Song, Ru Yang, Zhenni Guo and 4 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
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

14 authors at 8 institutions in 1 country.

Hui Zhao *Department of Urology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Junjun Zhang *Department of Oncology, The Third Xiangya Hospital of Central South University, Changsha, China.
Xiaoliang FuDepartment of Urology, The Second Affiliated Hospital of Air Force Medical University, Xian, China.
Dongdong MaoDepartment of Urology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Xuesen QiDepartment of Urology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Shuai LiangDepartment of Urology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Gang MengDepartment of Urology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Zewen SongDepartment of Oncology, The Third Xiangya Hospital of Central South University, Changsha, China.
Ru YangHenan Key Laboratory of Neurorestoratology, The First Affliated Hospital of Xinxiang Medical University, Weihui, China.
Zhenni GuoCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China.
Binghua TongCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China.
Meiqing SunCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China.
Baile ZuoTumor Molecular Immunology and Immunotherapy Laboratory, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, China.
Guoyin LiCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China.
Weifang Medical University · CNZhoukou Normal University · CNAir Force Medical University · CNCentral South University · CNFirst Affiliated Hospital of Xinxiang Medical University · CNThird Xiangya Hospital · CNXinxiang Medical University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The members of the Nedd4-like E3 family participate in various biological processes. However, their role in clear cell renal cell carcinoma (ccRCC) is not clear. This study systematically analyzed the Nedd4-like E3 family members in ccRCC data sets from multiple publicly available databases. NEDD4L was identified as the only NEDD4 family member differentially expressed in ccRCC compared with normal samples. Bioinformatics tools were used to characterize the function of NEDD4L in ccRCC. It indicated that NEDD4L might regulate cellular energy metabolism by co-expression analysis, and subsequent gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A prognostic model developed by the LASSO Cox regression method showed a relatively good predictive value in training and testing data sets. The result revealed that NEDD4L was associated with biosynthesis and metabolism of ccRCC. Since NEDD4L is downregulated and dysregulation of metabolism is involved in tumor progression, NEDD4L might be a potential therapeutic target in ccRCC.

Indexed as

BioinformaticsClear-cell renal cell cancerMetabolismNEDD4LPrognosis

Identifiers

PMID34458018
PMCPMC8378337
OpenAlexW3195774634

What OpenQuestion 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 OpenQuestion graph.