Evidence map›Paper›PMID 36050740›Full record

ArticleWorld journal of surgical oncology2022

Cuproptosis-related lncRNA predict prognosis and immune response of lung adenocarcinoma.

Fangwei Wang, Hongsheng Lin, Qisheng Su, Chaoqian Li

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
10.7field-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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  6. Programmed cell death in lung cancer: mechanisms, immune responses, and therapeutics.Apoptosis : an international journal on programmed cell death · 2026
    Review
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  15. mCancer communications (London, England) · 2025
    Article
  16. Review
  17. 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
    Article
  18. Review
  19. Article
  20. The MYC/TXNIP axis mediates NCL-Suppressed CD8Molecular medicine (Cambridge, Mass.) · 2025
    Article

21 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Fangwei WangDepartment of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nan'ning, China.
Hongsheng LinDepartment of Microbiology, School of Basic Medical Sciences, Guangxi Medical University, Nan'ning, China.
Qisheng SuDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nan'ning, China.
Chaoqian LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nan'ning, China. lichaoqiangood@163.com.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) accounts for 50% of lung cancers, with high mortality and poor prognosis. Long non-coding RNA (lncRNA) plays a vital role in the progression of tumors. Cuproptosis is a newly discovered form of cell death that is highly investigated. Therefore, in the present study, we aimed to investigate the role of cuproptosis-related lncRNA signature in clinical prognosis prediction and immunotherapy and the relationship with drug sensitivity. MATERIAL AND

methodsGenomic and clinical data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and cuproptosis-related genes were obtained from cuproptosis-related studies. The prognostic signature was constructed by co-expression analysis and Cox regression analysis. Patients were divided into high and low risk groups, and then, a further series of model validations were carried out to assess the prognostic value of the signature. Subsequently, lncRNAs were analyzed for gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes Enrichment (KEGG), immune-related functions, and tumor mutation burden (TMB). Finally, we used tumor immune dysfunction and exclusion (TIDE) algorithms on immune escape and immunotherapy of cuproptosis-related lncRNAs, thereby identifying its sensitivity toward potential drugs for LUAD.

resultsA total of 16 cuproptosis-related lncRNAs were obtained, and a prognostic signature was developed. We found that high-risk patients had worse overall survival (OS) and progression-free survival (PFS) and higher mortality. Independent prognostic analyses, ROC, C-index, and nomogram showed that the cuproptosis-related lncRNAs can accurately predict the prognosis of patients. The nomogram and heatmap showed a distinct distribution of the high- and low-risk cuproptosis-related lncRNAs. Enrichment analysis showed that the biological functions of lncRNAs are associated with tumor development. We also found that immune-related functions, such as antiviral activity, were suppressed in high-risk patients who had mutations in oncogenes. OS was poorer in patients with high TMB. TIDE algorithms showed that high-risk patients have a greater potential for immune escape and less effective immunotherapy.

conclusionTo conclude, the 16 cuproptosis-related lncRNAs can accurately predict the prognosis of patients with LUAD and may provide new insights into clinical applications and immunotherapy.

Indexed as

Adenocarcinoma of LungApoptosisLung NeoplasmsRNA, Long NoncodingCopperHumansImmunityKaplan-Meier EstimatePrognosisCopperRNA, Long NoncodingCuproptosisDrug sensitivityImmunelncRNAsPrognosisSignature

Identifiers

PMID36050740
PMCPMC9434888
OpenAlexW4294326339

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.