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A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults

Evidences shows that immune and stroma related genes in the tumour microenvironment (TME) play a key regulator in the prognosis of Osteosarcomas (OSs). The purpose of this study was to develop a TME-related risk model for assessing the prognosis of OSs. 82 OSs cases aged ≤25 years from TARGET were d...

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Autores principales: Wen, Chunkai, Wang, Hongxue, Wang, Han, Mo, Hao, Zhong, Wuning, Tang, Jing, Lu, Yongkui, Zhou, Wenxian, Tan, Aihua, Liu, Yan, Xie, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835013/
https://www.ncbi.nlm.nih.gov/pubmed/33281116
http://dx.doi.org/10.18632/aging.202170
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author Wen, Chunkai
Wang, Hongxue
Wang, Han
Mo, Hao
Zhong, Wuning
Tang, Jing
Lu, Yongkui
Zhou, Wenxian
Tan, Aihua
Liu, Yan
Xie, Weimin
author_facet Wen, Chunkai
Wang, Hongxue
Wang, Han
Mo, Hao
Zhong, Wuning
Tang, Jing
Lu, Yongkui
Zhou, Wenxian
Tan, Aihua
Liu, Yan
Xie, Weimin
author_sort Wen, Chunkai
collection PubMed
description Evidences shows that immune and stroma related genes in the tumour microenvironment (TME) play a key regulator in the prognosis of Osteosarcomas (OSs). The purpose of this study was to develop a TME-related risk model for assessing the prognosis of OSs. 82 OSs cases aged ≤25 years from TARGET were divided into two groups according to the immune/stromal scores that were analyzed by the Estimate algorithm. The differentially expressed genes (DEGs) between the two groups were analyzed and 122 DEGs were revealed. Finally, three genes (COCH, MYOM2 and PDE1B) with the minimum AIC value were derived from 122 DEGs by multivariate cox analysis. The three-gene risk model (3-GRM) could distinguish patients with high risk from the training (TARGET) and validation (GSE21257) cohort. Furthermore, a nomogram model included 3-GRM score and clinical features were developed, with the AUC values in predicting 1, 3 and 5-year survival were 0.971, 0.853 and 0.818, respectively. In addition, in the high 3-GRM score group, the enrichment degrees of infiltrating immune cells were significantly lower and immune-related pathways were markedly suppressed. In summary, this model may be used as a marker to predict survival for OSs patients in adolescent and young adults.
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spelling pubmed-78350132021-02-03 A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults Wen, Chunkai Wang, Hongxue Wang, Han Mo, Hao Zhong, Wuning Tang, Jing Lu, Yongkui Zhou, Wenxian Tan, Aihua Liu, Yan Xie, Weimin Aging (Albany NY) Research Paper Evidences shows that immune and stroma related genes in the tumour microenvironment (TME) play a key regulator in the prognosis of Osteosarcomas (OSs). The purpose of this study was to develop a TME-related risk model for assessing the prognosis of OSs. 82 OSs cases aged ≤25 years from TARGET were divided into two groups according to the immune/stromal scores that were analyzed by the Estimate algorithm. The differentially expressed genes (DEGs) between the two groups were analyzed and 122 DEGs were revealed. Finally, three genes (COCH, MYOM2 and PDE1B) with the minimum AIC value were derived from 122 DEGs by multivariate cox analysis. The three-gene risk model (3-GRM) could distinguish patients with high risk from the training (TARGET) and validation (GSE21257) cohort. Furthermore, a nomogram model included 3-GRM score and clinical features were developed, with the AUC values in predicting 1, 3 and 5-year survival were 0.971, 0.853 and 0.818, respectively. In addition, in the high 3-GRM score group, the enrichment degrees of infiltrating immune cells were significantly lower and immune-related pathways were markedly suppressed. In summary, this model may be used as a marker to predict survival for OSs patients in adolescent and young adults. Impact Journals 2020-12-03 /pmc/articles/PMC7835013/ /pubmed/33281116 http://dx.doi.org/10.18632/aging.202170 Text en Copyright: © 2020 Wen et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wen, Chunkai
Wang, Hongxue
Wang, Han
Mo, Hao
Zhong, Wuning
Tang, Jing
Lu, Yongkui
Zhou, Wenxian
Tan, Aihua
Liu, Yan
Xie, Weimin
A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults
title A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults
title_full A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults
title_fullStr A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults
title_full_unstemmed A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults
title_short A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults
title_sort three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835013/
https://www.ncbi.nlm.nih.gov/pubmed/33281116
http://dx.doi.org/10.18632/aging.202170
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