Exploratory Analysis of Molecular Subtypes in Early-Stage Osteosarcoma: Identifying Resistance and Optimizing Therapy.

IF 4.5 2区 医学 Q1 ONCOLOGY
Cancers Pub Date : 2025-05-16 DOI:10.3390/cancers17101677
Luka Bojic, Mina Peric, Jelena Karanovic, Emilija Milosevic, Natasa Kovacevic Grujicic, Milena Milivojevic
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Abstract

Background: 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. Methods: 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. Results: 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. AURKB, 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. Conclusions: 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.

早期骨肉瘤分子亚型的探索性分析:识别耐药性和优化治疗。
背景:骨肉瘤(OS)是一种高度侵袭性的骨恶性肿瘤,治疗方案有限,预后差。本探索性研究旨在确定早期未治疗OS的分子亚型,以指导精确的治疗策略。方法:采用非负矩阵分解算法(NMF)对102例OS患者肿瘤组织的RNA-seq数据进行分析,将肿瘤分为S1、S2和S3三种亚型。使用DESeq2评估差异基因表达,然后使用clusterProfiler和CancerHallmarks进行功能富集分析。通过ESTIMATE和CIBERSORT评估肿瘤微环境,使用OncoPredict预测药物敏感性。代表S1亚型的SAOS-2和MG63细胞被用于活力实验,以确定橙皮苷(一种以抗癌潜力而闻名的天然酚类化合物)单独或与阿霉素和5-氟尿嘧啶联合使用的效果。结果:本研究发现3种OS亚型:S1富集于细胞周期调控、囊泡转运和RNA代谢通路,S2和S3分别富集于细胞外基质组织和蛋白翻译相关通路。S1肿瘤纯度高,化疗耐药明显,kif20a过表达,预后较差。橙皮苷靶点AURKB参与S1发病机制。在体外,橙皮苷显著降低SAOS-2和MG63细胞的活力,增强阿霉素的疗效。结论:我们的研究结果支持OS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,橙皮苷有可能作为高风险OS患者的治疗辅助药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancers
Cancers Medicine-Oncology
CiteScore
8.00
自引率
9.60%
发文量
5371
审稿时长
18.07 days
期刊介绍: Cancers (ISSN 2072-6694) is an international, peer-reviewed open access journal on oncology. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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