ArticleAging2021
A novel protein ubiquitination-related five-gene signature predicts overall survival in patients with lung adenocarcinoma.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Integrative Multi-Omics Analysis Reveals the Molecular Characteristics, Tumor Microenvironment, and Clinical Significance of Ubiquitination Mechanisms in Lung Adenocarcinoma.International journal of molecular sciences · 2025Article
- Construction of ubiquitination-related risk model for predicting prognosis in lung adenocarcinoma.Scientific reports · 2025Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
Protein ubiquitination has been reported to be involved in many biological processes that affect cancer cell growth or death. In this study, we identified differentially expressed E3s/DUB-related genes associated with the prognosis of lung adenocarcinoma and then constructed an E3s/DUB enzyme signature prediction model for the training group and validated its accuracy for prognosis prediction in the validation group. According to our constructed model, all patients were divided into the high- or low-risk group, and a comparison of the two groups revealed that the high-risk group had poorer survival and higher mortality than the low-risk group. The calculated risk score was also an independent prognostic factor when analyzed together with other clinical factors. To explore the functions of the signature genes, we predicted the substrate proteins with which they interact and then performed enrichment analysis. Interestingly, we found that the signature genes were enriched in multiple treatment resistance and immune-related pathways. Therefore, we continued to analyze immune infiltration in the samples and found a variety of differences in immune cell infiltration. According to our constructed model, these differences in immune cell infiltration may predict different immune statuses after grouping and are associated with worse prognosis in high-risk patients.
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