Chen Xuesong, Tian Bin, Wang Yiqun, Zheng Jiang, Kang Xin
Sports Medicine Center, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710054, P.R. China.
Int J Mol Med. 2025 Jun;55(6). doi: 10.3892/ijmm.2025.5533. Epub 2025 Apr 17.
Osteosarcoma, the most prevalent primary bone malignancy in children and adolescents, poses significant challenges due to its aggressive nature and propensity for metastasis. Despite advances in treatment, survival rates for high‑risk patients remain unsatisfactory, underscoring the urgent need for innovative approaches. This review explores the vital role of multi‑omics‑integrating genomics, transcriptomics, proteomics and metabolomics‑in unraveling the complex biological landscapes of osteosarcoma. By providing comprehensive insights into tumor heterogeneity, signaling pathways and metabolic reprogramming, multi‑omics facilitates the identification of novel biomarkers and therapeutic targets. The objective of the present study was to highlight the transformative potential of multi‑omics in enhancing the understanding and management of osteosarcoma, ultimately paving the way for personalized treatment strategies and improved patient outcomes. Through this synthesis, the study calls for a concerted effort to integrate multi‑omics into clinical practice, fostering a more precise approach to osteosarcoma care.
骨肉瘤是儿童和青少年中最常见的原发性骨恶性肿瘤,因其侵袭性和转移倾向而带来重大挑战。尽管治疗取得了进展,但高危患者的生存率仍然不尽人意,这凸显了创新方法的迫切需求。本综述探讨了多组学(整合基因组学、转录组学、蛋白质组学和代谢组学)在揭示骨肉瘤复杂生物学图景中的重要作用。通过提供对肿瘤异质性、信号通路和代谢重编程的全面见解,多组学有助于识别新的生物标志物和治疗靶点。本研究的目的是强调多组学在增进对骨肉瘤的理解和管理方面的变革潜力,最终为个性化治疗策略和改善患者预后铺平道路。通过这一综合研究,呼吁共同努力将多组学整合到临床实践中,促进对骨肉瘤治疗采取更精确的方法。