Evidence map›Paper›PMID 35875087›Full record

ArticleFrontiers in oncology2022

Molecular Subtyping Based on Cuproptosis-Related Genes and Characterization of Tumor Microenvironment Infiltration in Kidney Renal Clear Cell Carcinoma.

Zhong-Hao Ji, Wen-Zhi Ren, Hao-Qi Wang, Wei Gao, Bao Yuan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  3. Cuproptosis-related geneRadiology and oncology · 2025
    Article
  4. Mechanisms of cuproptosis and its relevance to distinct diseases.Apoptosis : an international journal on programmed cell death · 2024
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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

5 authors at 2 institutions in 1 country.

Zhong-Hao JiDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun, China.
Wen-Zhi RenDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun, China.
Hao-Qi WangDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun, China.
Wei GaoDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun, China.
Bao YuanDepartment of Laboratory Animals, College of Animal Sciences, Jilin University, Changchun, China.
Jilin University · CNChangzhi Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of kidney renal clear cell carcinoma (KIRC) is rising worldwide, and the prognosis is poor. Cuproptosis is a new form of cell death that is dependent on and regulated by copper ions. The relationship between cuproptosis and KIRC remains unclear. In the current study, changes in cuproptosis-related genes (CRGs) in TCGA-KIRC transcriptional datasets were characterized, and the expression patterns of these genes were analyzed. We identified three main molecular subtypes and discovered that multilayer CRG changes were associated with patient clinicopathological traits, prognosis, elesclomol sensitivity, and tumor microenvironment (TME) cell infiltration characteristics. Then, a CRG score was created to predict overall survival (OS). The CRG score was found to be strongly linked to the TME. These findings may help elucidate the roles of CRGs in KIRC, potentially enhancing understanding of cuproptosis and supporting the development of more effective immunotherapy strategies.

Indexed as

cuproptosisgene signatureimmune statuskidney renal clear cell carcinoma (KIRC)overall survival

Identifiers

PMID35875087
PMCPMC9299088
OpenAlexW4286630911

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.