Evidence map›Paper›PMID 36353226›Full record

ArticleFrontiers in endocrinology2022

Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma.

Yuqiao Chen, Lu Tang, Wentao Huang, Youyu Zhang, Fakolade Hannah Abisola, Linfeng Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.7field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 57 citations in OpenAlex.

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  7. Two inflammation-related genes model could predict risk in prognosis of patients with lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  17. Mechanisms of cuproptosis and its relevance to distinct diseases.Apoptosis : an international journal on programmed cell death · 2024
    Review
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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

6 authors at 2 institutions in 1 country.

Yuqiao ChenDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Lu TangDepartment of Anesthesiology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wentao HuangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Youyu ZhangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Fakolade Hannah AbisolaDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Linfeng LiDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cuproptosis is a novel form of copper-induced cell death that targets lipoylated tricarboxylic acid (TCA) cycle proteins. However, its prognostic role in lung adenocarcinoma (LUAD) remains unclear. This study aimed to establish a cuproptosis-related prognostic signature for patients with LUAD. Methods: Transcriptome data of LUAD samples were extracted from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The prognostic value of cuproptosis-related genes (CRGs) was investigated using Cox regression analysis to develop a cuproptosis-related prognostic model. Kyoto Encyclopedia of Genes and Genomes (KEGG), gene ontology (GO) and gene set variation analysis (GSVA) were conducted to characterize different biological activities or pathways between high- or low-CRG groups. The expression pattern and prognostic values of CRGs were validated in 37 paired tumor-normal samples using quantitative PCR. Furthermore, Results: Among the 36 CRGs, 17 genes were upregulated, and 3 genes were downregulated in LUAD. A total of 385 CRGs were identified using Pearson correlation analysis. A cuproptosis-related signature was constructed using least absolute shrinkage and selection operator (LASSO) analysis. The prognostic value of the cuproptosis-related signature was validated in six external validation cohorts and in LUAD specimens from our facility. Patients in the high-risk group based on the CRG signature score had shorter overall survival than those in the low-risk group in both the datasets and clinical specimens. Conclusion: This study established a new CRG signature that can be used to predict the OS of LUAD patients. Moreover, the knockdown of

Indexed as

Adenocarcinoma of LungApoptosisLung NeoplasmsCopperGene Expression Regulation, NeoplasticHumansHydrazinesPrognosisCopperelesclomolHydrazinesbioinformatic analysiscuproptosislung canceroverall survivalprognostic signature

Identifiers

PMID36353226
PMCPMC9637654
OpenAlexW4307268580

What OpenQuestion holds

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LicenceCC BY
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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.