Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis
Abstract Osteosarcoma represents 20% of primary malignant bone tumors globally. Assessing its prognosis is challenging due to the complex roles of integrins in tumor development and metastasis. This study utilized 209,268 osteosarcoma cells from the GEO database to identify integrin-associated genes...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-024-00794-5 |
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| _version_ | 1832595070090477568 |
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| author | Lei Cui Shuai Zhao Hai long Teng Biao Yang Qian Liu An Qin |
| author_facet | Lei Cui Shuai Zhao Hai long Teng Biao Yang Qian Liu An Qin |
| author_sort | Lei Cui |
| collection | DOAJ |
| description | Abstract Osteosarcoma represents 20% of primary malignant bone tumors globally. Assessing its prognosis is challenging due to the complex roles of integrins in tumor development and metastasis. This study utilized 209,268 osteosarcoma cells from the GEO database to identify integrin-associated genes using advanced analysis methods. A novel machine learning framework combining 10 algorithms was developed to construct an Integrin-related Signature (IRS), which demonstrated robust predictive power across multiple datasets. The IRS’s utility in predicting overall survival was confirmed using data from The Cancer Genome Atlas, underscoring its potential in personalized cancer management. |
| format | Article |
| id | doaj-art-bbe6875e9b2a41198b2624760ff171ae |
| institution | Kabale University |
| issn | 2397-768X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Precision Oncology |
| spelling | doaj-art-bbe6875e9b2a41198b2624760ff171ae2025-01-19T12:08:16ZengNature Portfolionpj Precision Oncology2397-768X2025-01-019111610.1038/s41698-024-00794-5Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysisLei Cui0Shuai Zhao1Hai long Teng2Biao Yang3Qian Liu4An Qin5Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical UniversityCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical UniversityCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical UniversityDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical UniversityGuangxi Key Laboratory of Regenerative Medicine, Orthopaedic Department, The First Affiliated Hospital, Guangxi Medical UniversityCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical UniversityAbstract Osteosarcoma represents 20% of primary malignant bone tumors globally. Assessing its prognosis is challenging due to the complex roles of integrins in tumor development and metastasis. This study utilized 209,268 osteosarcoma cells from the GEO database to identify integrin-associated genes using advanced analysis methods. A novel machine learning framework combining 10 algorithms was developed to construct an Integrin-related Signature (IRS), which demonstrated robust predictive power across multiple datasets. The IRS’s utility in predicting overall survival was confirmed using data from The Cancer Genome Atlas, underscoring its potential in personalized cancer management.https://doi.org/10.1038/s41698-024-00794-5 |
| spellingShingle | Lei Cui Shuai Zhao Hai long Teng Biao Yang Qian Liu An Qin Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis npj Precision Oncology |
| title | Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis |
| title_full | Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis |
| title_fullStr | Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis |
| title_full_unstemmed | Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis |
| title_short | Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis |
| title_sort | integrins identified as potential prognostic markers in osteosarcoma through multi omics and multi dataset analysis |
| url | https://doi.org/10.1038/s41698-024-00794-5 |
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