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Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis

Osteosarcoma is the most common malignant bone tumor in adolescents, and metastasis is the key reason for treatment failure and poor prognosis. Once metastasis occurs, the 5-year survival rate is only approximately 20%, and assessing and predicting the risk of osteosarcoma metastasis are still diffi...

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Autores principales: Guo, Junfeng, Tang, Hong, Huang, Pan, Shi, Youxing, Yuan, Chengsong, Liang, Taotao, Tang, Kanglai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020875/
https://www.ncbi.nlm.nih.gov/pubmed/35463309
http://dx.doi.org/10.3389/fonc.2022.732862
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author Guo, Junfeng
Tang, Hong
Huang, Pan
Guo, Junfeng
Shi, Youxing
Yuan, Chengsong
Liang, Taotao
Tang, Kanglai
author_facet Guo, Junfeng
Tang, Hong
Huang, Pan
Guo, Junfeng
Shi, Youxing
Yuan, Chengsong
Liang, Taotao
Tang, Kanglai
author_sort Guo, Junfeng
collection PubMed
description Osteosarcoma is the most common malignant bone tumor in adolescents, and metastasis is the key reason for treatment failure and poor prognosis. Once metastasis occurs, the 5-year survival rate is only approximately 20%, and assessing and predicting the risk of osteosarcoma metastasis are still difficult tasks. In this study, cellular communication between tumor cells and nontumor cells was identified through comprehensive analysis of osteosarcoma single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data, illustrating the complex regulatory network in the osteosarcoma microenvironment. In line with the heterogeneity of osteosarcoma, we found subpopulations of osteosarcoma cells that highly expressed COL6A1, COL6A3 and MIF and were closely associated with lung metastasis. Then, BCDEG, a reliable risk regression model that could accurately assess the metastasis risk and prognosis of patients, was established, providing a new strategy for the diagnosis and treatment of osteosarcoma.
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spelling pubmed-90208752022-04-21 Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis Guo, Junfeng Tang, Hong Huang, Pan Guo, Junfeng Shi, Youxing Yuan, Chengsong Liang, Taotao Tang, Kanglai Front Oncol Oncology Osteosarcoma is the most common malignant bone tumor in adolescents, and metastasis is the key reason for treatment failure and poor prognosis. Once metastasis occurs, the 5-year survival rate is only approximately 20%, and assessing and predicting the risk of osteosarcoma metastasis are still difficult tasks. In this study, cellular communication between tumor cells and nontumor cells was identified through comprehensive analysis of osteosarcoma single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data, illustrating the complex regulatory network in the osteosarcoma microenvironment. In line with the heterogeneity of osteosarcoma, we found subpopulations of osteosarcoma cells that highly expressed COL6A1, COL6A3 and MIF and were closely associated with lung metastasis. Then, BCDEG, a reliable risk regression model that could accurately assess the metastasis risk and prognosis of patients, was established, providing a new strategy for the diagnosis and treatment of osteosarcoma. Frontiers Media S.A. 2022-04-06 /pmc/articles/PMC9020875/ /pubmed/35463309 http://dx.doi.org/10.3389/fonc.2022.732862 Text en Copyright © 2022 Guo, Tang, Huang, Guo, Shi, Yuan, Liang and Tang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Guo, Junfeng
Tang, Hong
Huang, Pan
Guo, Junfeng
Shi, Youxing
Yuan, Chengsong
Liang, Taotao
Tang, Kanglai
Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis
title Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis
title_full Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis
title_fullStr Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis
title_full_unstemmed Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis
title_short Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis
title_sort single-cell profiling of tumor microenvironment heterogeneity in osteosarcoma identifies a highly invasive subcluster for predicting prognosis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020875/
https://www.ncbi.nlm.nih.gov/pubmed/35463309
http://dx.doi.org/10.3389/fonc.2022.732862
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