ArticleScientific reports2023
Artificial intelligence reveals dysregulation of osteosarcoma and cuproptosis-related biomarkers, PDHA1, CDKN2A and neutrophils.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 10 citations in OpenAlex.
- Research advances of copper homeostasis and cuproptosis in orthopedic diseases.Cell death discovery · 2026Review
- Review
- Musculoskeletal disorders: does cuproptosis hold the key?Frontiers in cell and developmental biology · 2026Review
- Emerging regulated cell death mechanisms in bone remodeling: decoding ferroptosis, cuproptosis, disulfidptosis, and PANoptosis as therapeutic targets for skeletal disorders.Cell death discovery · 2025Review
- Modulation of copper homeostasis and cuproptosis by PDHA1 in acute myeloid leukemia.Discover oncology · 2025Article
- Multi-omics analysis of copper metabolism-related molecular subtypes and risk stratification for osteosarcoma.Discover oncology · 2025Article
- Cuproptosis: molecular mechanisms, cancer prognosis, and therapeutic applications.Journal of translational medicine · 2025Review
- Cuproptosis and its potential role in musculoskeletal disease.Frontiers in cell and developmental biology · 2025Review
- Cuproptosis-a potential target for the treatment of osteoporosis.Frontiers in endocrinology · 2023Review
Corrections and comments
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Authors and funding
19 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At present, the impact of cuproptosis-related genes in the study of osteosarcoma is largely unknown. Genome-wide data of osteosarcoma and controls were downloaded from 3 different databases, and specific diagnostic models associated with cuproptosis in osteosarcoma were constructed by support vector machines with artificial intelligence, random forest trees and LASSO regression. Differential analysis of immune cell infiltration was examined using routine blood data from 25,665 cases. Differential expression was examined using immunohistochemistry and PCR. PDHA1 and CDKN2A were obtained as specific cuproptosis-related biomarkers for osteosarcoma after artificial intelligence analysis. PDHA1, CDKN2A and neutrophils were differentially expressed in OS and control groups. PDHA1 and CDKN2A are significantly dysregulated in OS and are able to serve as biomarkers of OS.
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Registered trials
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