Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma
Shanghai Jiao Tong University · Shanghai Sixth People's Hospital · +10 more institutions
Abstract
Abstract Osteosarcoma is the most frequent primary bone tumor with poor prognosis. Through RNA-sequencing of 100,987 individual cells from 7 primary, 2 recurrent, and 2 lung metastatic osteosarcoma lesions, 11 major cell clusters are identified based on unbiased clustering of gene expression profiles and canonical markers. The transcriptomic properties, regulators and dynamics of osteosarcoma malignant cells together with their tumor microenvironment particularly stromal and immune cells are characterized. The transdifferentiation of malignant osteoblastic cells from malignant chondroblastic cells is revealed by analyses of inferred copy-number variation and trajectory. A proinflammatory FABP4 + macrophages…
Citation impact
- FWCI
- 26.92
- Percentile
- 100%
- References
- 96
Authors
28- YZYan Zhou
Shanghai Jiao Tong University, Shanghai Sixth People's Hospital
- YDYang Dong
Shanghai Jiao Tong University, Shanghai Sixth People's Hospital
- QYQingcheng Yang
Shanghai Jiao Tong University, Shanghai Sixth People's Hospital
- XLXiaobin Lv
Nanchang University, Third Affiliated Hospital of Nanchang University
- WHWentao Huang
Shanghai Jiao Tong University, Shanghai Sixth People's Hospital
Topics & keywords
- Osteosarcoma
- Tumor microenvironment
- Cancer research
- RNA
- Cell
- Computational biology
- Biology
- Gene
- Good health and well-being
Funding
- NSNatural Science Foundation of ShanghaiAward: 20ZR1434100
- CRCancer Research UKAward: C49791/A17367
- NNNational Natural Science Foundation of ChinaAwards: 82072967, 81770173, 8187215, 82072962, 2017BT01S131, 81503396, 81372873
- NSNatural Science Foundation of Guangdong ProvinceAwards: 2018B030308004, 2017BT01S131
- GPGuangdong Provincial Pearl River Talents ProgramAward: 2017BT01S131
- BABasic and Applied Basic Research Foundation of Guangdong ProvinceAward: 2019B1515120033