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Single-Cell Transcriptomics Reveals the Complexity of the Tumor Microenvironment of Treatment-Naive Osteosarcoma.

作者信息

Liu Yun, Feng Wenyu, Dai Yan, Bao Mengying, Yuan Zhenchao, He Mingwei, Qin Zhaojie, Liao Shijie, He Juliang, Huang Qian, Yu Zhenyuan, Zeng Yanyu, Guo Binqian, Huang Rong, Yang Rirong, Jiang Yonghua, Liao Jinling, Xiao Zengming, Zhan Xinli, Lin Chengsen, Xu Jiake, Ye Yu, Ma Jie, Wei Qingjun, Mo Zengnan

机构信息

Department of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Department of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.

出版信息

Front Oncol. 2021 Jul 21;11:709210. doi: 10.3389/fonc.2021.709210. eCollection 2021.


DOI:10.3389/fonc.2021.709210
PMID:34367994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8335545/
Abstract

Osteosarcoma (OS), which occurs most commonly in adolescents, is associated with a high degree of malignancy and poor prognosis. In order to develop an accurate treatment for OS, a deeper understanding of its complex tumor microenvironment (TME) is required. In the present study, tissues were isolated from six patients with OS, and then subjected to single-cell RNA sequencing (scRNA-seq) using a 10× Genomics platform. Multiplex immunofluorescence staining was subsequently used to validate the subsets identified by scRNA-seq. ScRNA-seq of six patients with OS was performed prior to neoadjuvant chemotherapy, and data were obtained on 29,278 cells. A total of nine major cell types were identified, and the single-cell transcriptional map of OS was subsequently revealed. Identified osteoblastic OS cells were divided into five subsets, and the subsets of those osteoblastic OS cells with significant prognostic correlation were determined using a deconvolution algorithm. Thereby, different transcription patterns in the cellular subtypes of osteoblastic OS cells were reported, and key transcription factors associated with survival prognosis were identified. Furthermore, the regulation of osteolysis by osteoblastic OS cells receptor activator of nuclear factor kappa-B ligand was revealed. Furthermore, the role of osteoblastic OS cells in regulating angiogenesis through vascular endothelial growth factor-A was revealed. C3_TXNIP macrophages and C5_IFIT1 macrophages were found to regulate regulatory T cells and participate in CD8 T cell exhaustion, illustrating the possibility of immunotherapy that could target CD8 T cells and macrophages. Our findings here show that the role of C1_osteoblastic OS cells in OS is to promote osteolysis and angiogenesis, and this is associated with survival prognosis. In addition, T cell depletion is an important feature of OS. More importantly, the present study provided a valuable resource for the in-depth study of the heterogeneity of the OS TME.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/a7a25bfb479b/fonc-11-709210-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/bfcfa2117875/fonc-11-709210-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/74597b8ba6ed/fonc-11-709210-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/fbf7cb85ee95/fonc-11-709210-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/3a76fb46790e/fonc-11-709210-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/68ce4754f2ef/fonc-11-709210-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/aa2a14be2748/fonc-11-709210-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/c4529ef3029e/fonc-11-709210-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/f66c73f2efa7/fonc-11-709210-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/032885639901/fonc-11-709210-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/a7a25bfb479b/fonc-11-709210-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/bfcfa2117875/fonc-11-709210-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/74597b8ba6ed/fonc-11-709210-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/fbf7cb85ee95/fonc-11-709210-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/3a76fb46790e/fonc-11-709210-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/68ce4754f2ef/fonc-11-709210-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/aa2a14be2748/fonc-11-709210-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/c4529ef3029e/fonc-11-709210-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/f66c73f2efa7/fonc-11-709210-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/032885639901/fonc-11-709210-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/8335545/a7a25bfb479b/fonc-11-709210-g010.jpg

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引用本文的文献

[1]
Imipramine Inhibits Osteosarcoma Invasion via Src Inactivation and Caspase-Dependent Apoptosis.

J Cell Mol Med. 2025-9

[2]
Deubiquitinase Genes as Prognostic Biomarkers in Osteosarcoma: Insights From Single-Cell Sequencing and Machine Learning-Based Prognostic Modeling.

Int J Genomics. 2025-8-17

[3]
Multi-omics-based construction of a palmitoylation-driven prognostic model reveals tumor immune phenotypes in osteosarcoma.

Discov Oncol. 2025-8-13

[4]
Single-cell RNA and bulk sequencing analysis reveals that formononetin inhibits GTSF1 to exert anti-osteosarcoma effects.

APL Bioeng. 2025-8-8

[5]
Single-Cell Transcriptome Analyses of Four Pain Related Genes in Osteosarcoma.

Cancer Inform. 2025-7-19

[6]
Immunosuppressive Tumor Microenvironment of Osteosarcoma.

Cancers (Basel). 2025-6-24

[7]
Investigating the role of tumor cell heterogeneity and angiogenesis genes in the prognosis of multiple myeloma.

Front Immunol. 2025-6-25

[8]
Heterogeneity in Osteosarcoma Revealed by scRNA Sequencing: CLU+ Endothelial Cells as Key Players in Tumor Progression.

Cancer Sci. 2025-9

[9]
Targeting metastasis in paediatric bone sarcomas.

Mol Cancer. 2025-5-29

[10]
Data standards for single-cell RNA-sequencing of paediatric cancer.

Clin Transl Immunology. 2025-5-23

本文引用的文献

[1]
A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells.

Cell. 2021-2-4

[2]
Single-cell transcriptome profiling of the vaginal wall in women with severe anterior vaginal prolapse.

Nat Commun. 2021-1-4

[3]
Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma.

Nat Commun. 2020-12-10

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Life Sci. 2021-1-15

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TIGIT in cancer immunotherapy.

J Immunother Cancer. 2020-9

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Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma.

Cell Res. 2020-11

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Cancer Sci. 2020-7-11

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F1000Res. 2020-5-13

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