Liu Wenda, Xia Kezhou, Huang Xinghan, Wei Zhun, Wei Zicheng, Guo Weichun
Department of Orthopaedics, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei Province, China.
Sci Rep. 2025 Jan 6;15(1):886. doi: 10.1038/s41598-024-84924-w.
Osteosarcoma (OS) is a prevalent invasive bone cancer, with numerous homeobox family genes implicated in tumor progression. This study aimed to develop a prognostic model using HOX family genes to assess osteosarcoma patient outcomes. Data from osteosarcoma patients in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts were collected. LASSO regression and multivariate COX regression analyses were employed to create and validate a risk-prognosis model in a validation cohort. Four genes (HOXA1, HOXA5, HOXA6, HOXA13) were identified to construct the risk-prognosis model. Patients were categorized into high-risk and low-risk groups, with significantly better prognosis observed in the low-risk group. A nomogram was developed to predict patients' overall survival. Variances in gene function were primarily concentrated in immune-related pathways. ssGSEA indicated that immune cell content and function were relatively deficient in the high-risk group. Notably, HOXA1 overexpression suppressed osteosarcoma cell proliferation, migration, invasion, and tumor growth. The model exhibited high accuracy and versatility, enhancing early diagnosis rates and aiding clinicians in decision-making and personalized treatment.
骨肉瘤(OS)是一种常见的侵袭性骨癌,众多同源盒家族基因与肿瘤进展有关。本研究旨在利用HOX家族基因开发一种预后模型,以评估骨肉瘤患者的预后。收集了癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)队列中骨肉瘤患者的数据。采用LASSO回归和多变量COX回归分析在验证队列中创建并验证风险预后模型。确定了四个基因(HOXA1、HOXA5、HOXA6、HOXA13)来构建风险预后模型。患者被分为高风险组和低风险组,低风险组的预后明显更好。开发了一种列线图来预测患者的总生存期。基因功能的差异主要集中在免疫相关途径。单样本基因集富集分析(ssGSEA)表明,高风险组的免疫细胞含量和功能相对不足。值得注意的是,HOXA1的过表达抑制了骨肉瘤细胞的增殖、迁移、侵袭和肿瘤生长。该模型具有较高的准确性和通用性,提高了早期诊断率,并有助于临床医生进行决策和个性化治疗。