Evidence map›Paper›PMID 33209659›Full record

ArticleTranslational andrology and urology2020

Identification of an independent autophagy-gene prognostic index for papillary renal cell carcinoma.

Xiyi Wei, Wei Wang, Hongye Wang, Yamin Wang, Yichun Wang, Guangyao Li, Chengjian Ji, Xiaohan Ren, Ninghong Song, Chao Qin

Abstract read
In one paragraph

Article in Translational andrology and urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. A novel autophagy-related lncRNA survival model for lung adenocarcinoma.Journal of cellular and molecular medicine · 2021
    Article
  4. 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.

Xiyi WeiDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei WangDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hongye WangFirst Clinical Medical College of Nanjing Medical University, Nanjing, China.
Yamin WangDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yichun WangDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Guangyao LiDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chengjian JiDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaohan RenDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ninghong SongDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chao QinDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutophagy was a significant catabolic process which played a critical role in the maintenance of cellular homeostasis and viability in a stressed state. The dysregulation of autophagy was correlated with various diseases. The aim of our study was to develop a prognostic signature for papillary renal cell carcinoma (RCC).

methodsFirst, 40 differently expressed genes related with autophagy (ARGs) were examined via high-throughput sequencing and large-scale databases. Then, functional enrichment analysis was performed to explore the biological attributes of these ARGs. The Cox proportional hazard regression hinted that four ARGs (

resultsAfter identifying the 4 ARGs, we profiled our risk signature. Based on the PI we developed, papillary RCC patients were stratified into high-risk and low-risk groups. High-risk patients had significant shorter OS than low-risk patients (P<0.001) and the mortality of high scoring patients was higher than low scoring patients. Additionally, we explored the relationship between the 4 ARGs and clinical parameters and found that the expression of

conclusionsOur study suggested that the four-gene signature was an independent prognostic factor which could act as a novel indicator for the prognosis of papillary RCC.

Indexed as

Autophagypapillary renal cell carcinomaprognostic index (PI)The Cancer Genome Atlas (TCGA)

Identifiers

PMID33209659
PMCPMC7658136

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.