Evidence map›Paper›PMID 41826383›Full record

ArticleNPJ systems biology and applications2026

Integrated multi-omics and single-cell analysis reveals CDKN2A-mediated cuproptosis mechanisms driving thyroid carcinoma progression.

Jukai Huang, Liping Wang

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Jukai HuangDepartment of Endocrine, Beijing University of Chinese Medicine, Dongzhimen Hospital, Beijing, China.
Liping WangInstitute of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China. lpwang@icmm.ac.cn.

Funding

National Natural Science Foundation Youth Fund 22104015
6 · The paper itself

Abstract

Cuproptosis is a recently identified copper-dependent cell death pathway with growing relevance in tumor biology, yet its involvement in thyroid carcinoma (TC) remains poorly understood. In this study, we integrated multi-omics datasets to characterize the functional roles of cuproptosis-related genes (CRGs) in TC progression. Bulk and single-cell transcriptomic datasets from public repositories were analyzed to classify TC into two CRG-based molecular subtypes that showed significant associations with clinicopathological features and immune cell infiltration. A prognostic model derived from CRG-related differentially expressed genes exhibited high predictive accuracy for patient survival. CDKN2A emerged as the only consistently upregulated CRG in TC and correlated with adverse prognosis. Single-cell analyses further revealed distinct cellular distributions of CRGs within the tumor microenvironment, with notable enrichment in immune cell populations. In addition, a previously unrecognized competing endogenous RNA network, the GAS5/miR-128-3p/CDKN2A axis, was identified and experimentally validated. Functional assays demonstrated that this regulatory circuit modulates TC cell proliferation, invasion, and metastasis in vitro and in vivo, with GAS5 acting for miR-128-3p to regulate CDKN2A expression. These findings provide a comprehensive systems-level perspective on cuproptosis-related mechanisms in TC and highlight the therapeutic promise of targeting the cuproptosis pathway and its regulatory networks in thyroid cancer management.

Indexed as

CuproptosisCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18Thyroid NeoplasmsCell Line, TumorCell ProliferationDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsPrognosisSingle-Cell AnalysisTumor MicroenvironmentCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18MicroRNAs

Identifiers

PMID41826383
PMCPMC13128946

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.