Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma

This study aims to investigate the differentiation trajectory of osteosarcoma cells and to construct molecular subtypes with their respective characteristics and generate a multi-gene signature for predicting prognosis. Integrated single-cell RNA-sequencing (scRNA-seq) data, bulk RNA-seq data and mi...

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Autores principales:	Ankai Xu, Chao Qian, Jinti Lin, Wei Yu, Jiakang Jin, Bing Liu, Huimin Tao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	tumor/cancer stem cell differentiation trajectory molecular typing Genetics QH426-470
Acceso en línea:	https://doaj.org/article/3aa8d8cf2c884d1b8b18db3b65041fa1
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spelling	oai:doaj.org-article:3aa8d8cf2c884d1b8b18db3b65041fa12021-11-25T17:40:48ZCell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma10.3390/genes121116852073-4425https://doaj.org/article/3aa8d8cf2c884d1b8b18db3b65041fa12021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4425/12/11/1685https://doaj.org/toc/2073-4425This study aims to investigate the differentiation trajectory of osteosarcoma cells and to construct molecular subtypes with their respective characteristics and generate a multi-gene signature for predicting prognosis. Integrated single-cell RNA-sequencing (scRNA-seq) data, bulk RNA-seq data and microarray data from osteosarcoma samples were used for analysis. Via scRNA-seq data, time-related as well as differentiation-related genes were recognized as osteosarcoma tumor stem cell-related genes (OSCGs). In Gene Expression Omnibus (GEO) cohort, osteosarcoma patients were classified into two subtypes based on prognostic OSCGs and it was found that molecular typing successfully predicted overall survival, tumor microenvironment and immune infiltration status. Further, available drugs for influencing osteosarcoma via prognostic OSCGs were revealed. A 3-OSCG-based prognostic risk score signature was generated and by combining other clinic-pathological independent prognostic factor, stage at diagnosis, a nomogram was established to predict individual survival probability. In external independent TARGET cohort, the molecular types, the 3-gene signature as well as nomogram were validated. In conclusion, osteosarcoma cell differentiation occupies a crucial position in many facets, such as tumor prognosis and microenvironment, suggesting promising therapeutic targets for this disease.Ankai XuChao QianJinti LinWei YuJiakang JinBing LiuHuimin TaoMDPI AGarticletumor/cancer stem celldifferentiation trajectorymolecular typingGeneticsQH426-470ENGenes, Vol 12, Iss 1685, p 1685 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tumor/cancer stem cell differentiation trajectory molecular typing Genetics QH426-470
spellingShingle	tumor/cancer stem cell differentiation trajectory molecular typing Genetics QH426-470 Ankai Xu Chao Qian Jinti Lin Wei Yu Jiakang Jin Bing Liu Huimin Tao Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma
description	This study aims to investigate the differentiation trajectory of osteosarcoma cells and to construct molecular subtypes with their respective characteristics and generate a multi-gene signature for predicting prognosis. Integrated single-cell RNA-sequencing (scRNA-seq) data, bulk RNA-seq data and microarray data from osteosarcoma samples were used for analysis. Via scRNA-seq data, time-related as well as differentiation-related genes were recognized as osteosarcoma tumor stem cell-related genes (OSCGs). In Gene Expression Omnibus (GEO) cohort, osteosarcoma patients were classified into two subtypes based on prognostic OSCGs and it was found that molecular typing successfully predicted overall survival, tumor microenvironment and immune infiltration status. Further, available drugs for influencing osteosarcoma via prognostic OSCGs were revealed. A 3-OSCG-based prognostic risk score signature was generated and by combining other clinic-pathological independent prognostic factor, stage at diagnosis, a nomogram was established to predict individual survival probability. In external independent TARGET cohort, the molecular types, the 3-gene signature as well as nomogram were validated. In conclusion, osteosarcoma cell differentiation occupies a crucial position in many facets, such as tumor prognosis and microenvironment, suggesting promising therapeutic targets for this disease.
format	article
author	Ankai Xu Chao Qian Jinti Lin Wei Yu Jiakang Jin Bing Liu Huimin Tao
author_facet	Ankai Xu Chao Qian Jinti Lin Wei Yu Jiakang Jin Bing Liu Huimin Tao
author_sort	Ankai Xu
title	Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma
title_short	Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma
title_full	Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma
title_fullStr	Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma
title_full_unstemmed	Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma
title_sort	cell differentiation trajectory-associated molecular classification of osteosarcoma
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3aa8d8cf2c884d1b8b18db3b65041fa1
work_keys_str_mv	AT ankaixu celldifferentiationtrajectoryassociatedmolecularclassificationofosteosarcoma AT chaoqian celldifferentiationtrajectoryassociatedmolecularclassificationofosteosarcoma AT jintilin celldifferentiationtrajectoryassociatedmolecularclassificationofosteosarcoma AT weiyu celldifferentiationtrajectoryassociatedmolecularclassificationofosteosarcoma AT jiakangjin celldifferentiationtrajectoryassociatedmolecularclassificationofosteosarcoma AT bingliu celldifferentiationtrajectoryassociatedmolecularclassificationofosteosarcoma AT huimintao celldifferentiationtrajectoryassociatedmolecularclassificationofosteosarcoma
_version_	1718412097293910016

Cell Differentiation Trajectory-Associated Molecular Classification of Osteosarcoma

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