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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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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. |
format | Online Article Text |
id | pubmed-7835013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
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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