ArticlePloS one2024
Cuproptosis-associated ncRNAs predict breast cancer subtypes.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Cuproptosis as a therapeutic target in cancer: a Systematic Review and bibliometric analysis of the research landscape.Frontiers in oncology · 2025Pooled it
- Mitochondrial biology and immune crosstalk in breast cancer: therapeutic opportunities and challenges.Frontiers in immunology · 2026Review
- The Role of Non-Coding Regions in Breast Cancer: From Gene Regulation to Therapeutic Implications.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Cuproptosis and Cardiovascular Diseases: Mechanisms, Pathophysiology, and Therapeutic Strategies-A Narrative Review.Reviews in cardiovascular medicine · 2025Review
- Biological functions and molecular mechanisms of circHIPK3 in digestive system tumors.Human cell · 2025Review
- Identification and characterization of cuproptosis related gene subtypes through multi-omics bioinformatics analysis in breast cancer.Discover oncology · 2025Article
- Elucidating the evolving role of cuproptosis in breast cancer progression.International journal of biological sciences · 2024Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCuproptosis is a novel copper-dependent mode of cell death that has recently been discovered. The relationship between Cuproptosis-related ncRNAs and breast cancer subtypes, however, remains to be studied.
methodsThe aim of this study was to construct a breast cancer subtype prediction model associated with Cuproptosis. This model could be used to determine the subtype of breast cancer patients. To achieve this aim, 21 Cuproptosis-related genes were obtained from published articles and correlation analysis was performed with ncRNAs differentially expressed in breast cancer. Random forest algorithms were subsequently utilized to select important ncRNAs and build breast cancer subtype prediction models.
resultsA total of 94 ncRNAs significantly associated with Cuproptosis were obtained and the top five essential features were chosen to build a predictive model. These five biomarkers were differentially expressed in the five breast cancer subtypes and were closely associated with immune infiltration, RNA modification, and angiogenesis.
conclusionThe random forest model constructed based on Cuproptosis-related ncRNAs was able to accurately predict breast cancer subtypes, providing a new direction for the study of clinical therapeutic targets.
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Registered trials
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.