Evidence map›Paper›PMID 41560064›Full record

ArticleMedicine2026

A study on the role of cuproptosis-related immune checkpoint genes in non-small cell lung cancer.

Ke Han, Ju Kun Wang, Jing Yao

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ke HanDepartment of Thoracic Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.ORCID 0009-0003-2140-4872
Ju Kun WangDepartment of General Surgery, Xuanwu Hospital of Capital Medical University, Beijing, China.
Jing YaoCerebrovascular Disease Department, Neurological Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8960-254

Funding

2024 Institutional Youth Fund of Beijing Jishuitan Hospital, Capital Medical University QN202407
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is a common malignancy. Studies have demonstrated the crucial role of cuproptosis and immune checkpoint genes (ICGs) in the process of cancer progression, while it remains unclear whether cuproptosis-related immune checkpoint genes (CRICGs) can help predict the prognosis of NSCLC and provide guidance for establishing appropriate treatment. Thirteen cuproptosis-related genes and 79 ICGs were obtained for correlation analyses to determine the expression levels of CRICGs. Univariate Cox and least absolute shrinkage and selection operator regression analyses were conducted to identify prognosis-related CRICGs and develop a predictive model for the prognosis of NSCLC. Four CRICGs were selected to construct the predictive model, followed by an assessment of its performance. The risk score of the predictive model was deemed to be an independent prognostic factor in NSCLC. Gene set enrichment analyses showed that CRICGs were enriched in cancer-related pathways. The prognostic nomogram based on the risk scores and clinical data of NSCLC patients could accurately predict 3- and 5-year survival. The high- and low-risk groups showed significant differences in immune cell infiltration and ICG expression levels. The results of drug susceptibility testing of NSCLC to conventional targeted therapy and chemotherapy suggested a higher probability of drug resistance in the high-risk group. Finally, 8 CRICG-targeting small-molecule drugs were found to have therapeutic potential for NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungCuproptosisImmune Checkpoint ProteinsLung NeoplasmsFemaleHumansMaleNomogramsPrognosisImmune Checkpoint Proteinscuproptosis-related immune checkpoint genesnon-small cell lung cancerprognosisrisk model

Identifiers

PMID41560064
PMCPMC12826202

What OpenQuestion holds

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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.