通过多组学和多数据集分析，整合素被确定为骨肉瘤的潜在预后标志物。

IF 6.8 1区医学 Q1 ONCOLOGY

NPJ Precision Oncology Pub Date : 2025-01-17 DOI:10.1038/s41698-024-00794-5

Lei Cui, Shuai Zhao, Hai Long Teng, Biao Yang, Qian Liu, An Qin

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引用次数: 0

摘要

骨肉瘤占全球原发性恶性骨肿瘤的20%。由于整合素在肿瘤发展和转移中的复杂作用，评估其预后具有挑战性。本研究利用GEO数据库中的209268个骨肉瘤细胞，利用先进的分析方法鉴定整合素相关基因。开发了一种结合10种算法的新型机器学习框架来构建integrin相关签名（IRS），该签名在多个数据集上显示出强大的预测能力。IRS在预测总体生存方面的效用得到了癌症基因组图谱数据的证实，强调了其在个性化癌症管理方面的潜力。

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Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis.

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.

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来源期刊

NPJ Precision Oncology ONCOLOGY-

CiteScore

9.90

自引率

1.30%

发文量

审稿时长

18 weeks

期刊介绍： Online-only and open access, npj Precision Oncology is an international, peer-reviewed journal dedicated to showcasing cutting-edge scientific research in all facets of precision oncology, spanning from fundamental science to translational applications and clinical medicine.