Evidence map›Paper›PMID 40019657›Full record

ArticleDiscover oncology2025

Survival expectations in melanoma patients: a molecular prognostic model associated with aging.

Nenghua Zhang, Xinyi Qiu, Xingying Chen, Cheng Du, Jingyi Dong, Xiaohong Li, Bing Chen, Lin Zhang, Yuyan Zhang

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

9 authors.

Nenghua Zhang *Clinical Laboratory, Jiaxing Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Jiaxing, 314033, China.
Xinyi Qiu *The First School of Clinical Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Xingying ChenClinical Laboratory, Jiaxing Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Jiaxing, 314033, China.
Cheng DuOphthalmology Department, Jiaxing Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Jiaxing, 314033, China.
Jingyi DongSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Xiaohong LiSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Bing ChenSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Lin ZhangSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China. 19493831@qq.com.
Yuyan ZhangSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China. yannoo7376@sina.com.

Funding

Basic Public Welfare Research Program of Zhejiang Province LGC22H200012The Research project of the Affiliated Hospital of Zhejiang Chinese Medicine University 2022FSYYZZ24
6 · The paper itself

Abstract

backgroundAging and long non-coding RNAs (lncRNAs) are research hotspots in melanoma. However, no study has so far explored the relationship between melanoma prognosis and aging-related lncRNAs (ARLs).

methodsThe Cancer Genome Atlas database, the GTEx database, and the HAGR database were used in this study in a combined manner. Univariate and multivariate cox regression analyses were used to screen out lncRNA signatures associated with overall survival (OS) in the primary dataset. The risk scoring model was analyzed by risk stratification and tested internally. The protein expression levels of possible target genes of ARLs were verified by immunohistochemistry analysis in HPA database. Finally, gene enrichment analysis was performed.

resultsIn the primary dataset, five OS-related lncRNA signatures (AC011481.1, USP30-AS1, EBLN3P, LINC01527, HLA-DQB1-AS1) were screened out. The survival curve showed that the high-risk group had a worse prognosis than the low-risk group. The immunohistochemical analysis revealed that reduced expression of Epidermal Growth Factor Receptor (EGFR), along with increased expression of Activating Transcription Factor 2 (ATF2) and DNA Polymerase Delta 1 (POLD1), was linked to a worse prognosis. Finally, enrichment analysis revealed that OS-related DELs were significantly enriched in the regulation of reactive oxygen metabolism, etc. The ARGs were significantly activated in the SKCM tissues. The regulation of aging in melanoma cells may be realized through ferroptosis, immunity, and autophagy and so on.

conclusionThe ARL signature obtained in this study had better prognostic ability than individual clinical features.

Indexed as

AginglncRNANomogramRisk modelSkin cutaneous melanoma

Identifiers

PMID40019657
PMCPMC11874052

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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.