Evidence map›Paper›PMID 36092880›Full record

ArticleFrontiers in genetics2022

A Cuproptosis-Related Gene Model For Predicting the Prognosis of Clear Cell Renal Cell Carcinoma.

Wangli Mei, Xiang Liu, Xuyang Jia, Liang Jin, Shiyong Xin, Xianchao Sun, Jiaxin Zhang, Bihui Zhang, Yilai Chen, Jianping Che and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Mechanisms of cuproptosis and its relevance to distinct diseases.Apoptosis : an international journal on programmed cell death · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

12 authors.

Wangli MeiDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiang LiuDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Xuyang JiaDepartment of Metabolic Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Liang JinDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Shiyong XinDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Xianchao SunDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiaxin ZhangDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Bihui ZhangDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Yilai ChenDepartment of Urology, Karamay People's Hospital, Xinjiang, China.
Jianping CheDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Weiguo MaDepartment of Urology, Tongxin People's Hospital, Ningxia, China.
Lin YeDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in its treatment, patients diagnosed with clear cell renal cell carcinoma (ccRCC) have a poor prognosis. The mechanism of cuproptosis has been found to differ from other mechanisms that regulate cell death, including apoptosis, iron poisoning, pyrophosphate poisoning, and necrosis. Cuproptosis is an essential component in the regulation of a wide variety of biological processes, such as cell wall remodeling and oxidative stress responses. However, cuproptosis-related genes' expression in ccRCC patients and their association with the patient's prognosis remain ambiguous. Evaluation of The Cancer Genome Atlas (TCGA) identified 11 genes associated with cuproptosis that were differently expressed in ccRCC and nearby nontumor tissue. To construct a multigene prognostic model, the prognostic value of 11 genes was assessed and quantified. A signature was constructed by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and this signature was used to separate ccRCC patients into different risk clusters, with low-risk patients having a much better prognosis. This five-gene signature, when combined with patients' clinical characteristics, might serve as one independent predictor of overall survival (OS) in ccRCC patients. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that cuproptosis-related genes were enriched in patients with ccRCC. Then, quantitative real-time PCR (qPCR) was employed to verify these genes' expression. Generally, research has indicated that cuproptosis-related genes are important in tumor immunity and can predict OS of ccRCC patients.

Indexed as

bioinformatics analysisclear cell renal cell carcinoma (ccRCC)cuproptosisimmune infiltrationprognostic signature

Identifiers

PMID36092880
PMCPMC9450221

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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.