Integrated single-cell analysis reveals heterogeneity and therapeutic insights in osteosarcoma.

IF 2.9 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Discover. Oncology Pub Date : 2024-11-18 DOI:10.1007/s12672-024-01523-x
Dongan He, Xiaoqian Che, Haiming Zhang, Jiandong Guo, Lei Cai, Jian Li, Jinxi Zhang, Xin Jin, Jianfeng Wang
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Abstract

Osteosarcoma (OSA) is a primary bone malignancy characterized by its aggressive nature and high propensity for metastasis. Despite advancements in multimodal therapies, the clinical outcomes for OSA patients remain suboptimal, necessitating deeper molecular insights for improved therapeutic strategies. Here, we employed single-cell RNA sequencing (scRNA-seq) to elucidate the cellular heterogeneity and transcriptional dynamics of OSA tumors. Our study identified eleven distinct tumor cell subpopulations, including osteoblastic, chondroblastic, and myeloid lineages, each exhibiting unique transcriptional profiles associated with disease progression and metastasis. Epithelial-mesenchymal transition (EMT) emerged as a critical process driving aggressive phenotypes, supported by gene set enrichment analyses (GSVA) and transcription factor regulatory network analyses. Integration of copy number variation (CNV) data highlighted genomic alterations in osteoblastic and chondroblastic cells, implicating potential therapeutic targets. Furthermore, immune cell infiltration analyses revealed distinct immune profiles across OSA subtypes, correlating with tumor mutational burden (TMB) and clinical outcomes. Our findings underscore the complexity of OSA biology and provide a foundation for developing personalized treatment strategies targeting tumor heterogeneity and immune interactions.

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综合单细胞分析揭示了骨肉瘤的异质性和治疗见解。
骨肉瘤(OSA)是一种原发性骨恶性肿瘤,其特点是侵袭性强、转移倾向高。尽管多模式疗法取得了进展,但骨肉瘤患者的临床疗效仍不理想,因此需要更深入的分子研究来改进治疗策略。在此,我们采用单细胞RNA测序(scRNA-seq)技术来阐明OSA肿瘤的细胞异质性和转录动态。我们的研究发现了11种不同的肿瘤细胞亚群,包括成骨细胞、软骨细胞和髓系细胞,每种细胞都表现出与疾病进展和转移相关的独特转录谱。基因组富集分析(GSVA)和转录因子调控网络分析证实,上皮-间质转化(EMT)是驱动侵袭性表型的关键过程。拷贝数变异(CNV)数据的整合突显了成骨细胞和成软骨细胞的基因组改变,从而暗示了潜在的治疗靶点。此外,免疫细胞浸润分析揭示了不同 OSA 亚型的独特免疫特征,与肿瘤突变负荷(TMB)和临床结果相关。我们的研究结果凸显了 OSA 生物学的复杂性,并为开发针对肿瘤异质性和免疫相互作用的个性化治疗策略奠定了基础。
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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
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