Bojic Luka, Peric Mina, Karanovic Jelena, Milosevic Emilija, Kovacevic Grujicic Natasa, Milivojevic Milena
Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042 Belgrade, Serbia.
Cancers (Basel). 2025 May 16;17(10):1677. doi: 10.3390/cancers17101677.
Osteosarcoma (OS) is a highly aggressive bone malignancy with limited treatment options and poor prognosis. This exploratory study aimed to identify molecular subtypes of early-stage, treatment-naive OS to guide precise therapeutic strategies. We analyzed RNA-seq data obtained from tumor tissues from 102 OS patients using a non-negative matrix factorization algorithm (NMF) to classify the tumors into three subtypes: S1, S2, and S3. Differential gene expression was evaluated using DESeq2, followed by functional enrichment analysis with clusterProfiler and CancerHallmarks. The tumor microenvironment was assessed through ESTIMATE and CIBERSORT, and drug sensitivity was predicted using OncoPredict. SAOS-2 and MG63 cells, representing the S1 subtype, were used in the viability essays to determine the effect of hesperidin, a natural phenolic compound noted for its anti-cancer potential, alone and in combination with doxorubicin and 5-fluorouracil. This study revealed three OS subtypes: S1 was enriched in cell cycle regulation, vesicular transport, and RNA metabolism while S2 and S3 were enriched in pathways related to extracellular matrix organization and protein translation, respectively. S1 displayed high tumor purity, significant chemoresistance, and overexpression of KIF20 A, correlating with poor prognosis. , a hesperidin target, was implicated in S1 pathogenesis. In vitro, hesperidin significantly reduced the viability of SAOS-2 and MG63 cells and enhanced doxorubicin efficacy. Our findings support the molecular subclassification of OS, emphasizing subtype-specific mechanisms of tumor progression and chemoresistance, with hesperidin offering potential as a therapeutic adjunct for high-risk OS patients.
骨肉瘤(OS)是一种侵袭性很强的骨恶性肿瘤,治疗选择有限且预后较差。这项探索性研究旨在确定早期、未接受过治疗的骨肉瘤的分子亚型,以指导精确的治疗策略。我们使用非负矩阵分解算法(NMF)分析了从102例骨肉瘤患者的肿瘤组织中获得的RNA测序数据,将肿瘤分为三种亚型:S1、S2和S3。使用DESeq2评估差异基因表达,随后用clusterProfiler和CancerHallmarks进行功能富集分析。通过ESTIMATE和CIBERSORT评估肿瘤微环境,并使用OncoPredict预测药物敏感性。代表S1亚型的SAOS-2和MG63细胞用于活力实验,以确定橙皮苷(一种具有抗癌潜力的天然酚类化合物)单独以及与阿霉素和5-氟尿嘧啶联合使用的效果。这项研究揭示了三种骨肉瘤亚型:S1富含细胞周期调控、囊泡运输和RNA代谢相关基因,而S2和S3分别富含与细胞外基质组织和蛋白质翻译相关的通路。S1显示出高肿瘤纯度、显著的化疗耐药性以及KIF20 A的过表达,与预后不良相关。橙皮苷的靶点参与了S1的发病机制。在体外,橙皮苷显著降低了SAOS-2和MG63细胞的活力,并增强了阿霉素的疗效。我们的研究结果支持骨肉瘤的分子亚分类,强调肿瘤进展和化疗耐药的亚型特异性机制,橙皮苷有望作为高危骨肉瘤患者的治疗辅助药物。