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Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients
BACKGROUND: Osteosarcoma is a tumour of malignant origin in children and adolescents. Recent progression indicates that it is necessary to develop new therapies to improve the patient's prognosis rather than strengthen anti‐tumour chemotherapy. Researchers recently realised that cancer is a kin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267140/ https://www.ncbi.nlm.nih.gov/pubmed/34047495 http://dx.doi.org/10.1002/cam4.3984 |
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author | Li, Long‐Qing Zhang, Liang‐Hao Yuan, Yao‐bo Lu, Xin‐Chang Zhang, Yi Liu, Yong‐Kui Wen, Jia Khader, Manhas Abdul Liu, Tao Li, Jia‐Zhen Zhang, Yan |
author_facet | Li, Long‐Qing Zhang, Liang‐Hao Yuan, Yao‐bo Lu, Xin‐Chang Zhang, Yi Liu, Yong‐Kui Wen, Jia Khader, Manhas Abdul Liu, Tao Li, Jia‐Zhen Zhang, Yan |
author_sort | Li, Long‐Qing |
collection | PubMed |
description | BACKGROUND: Osteosarcoma is a tumour of malignant origin in children and adolescents. Recent progression indicates that it is necessary to develop new therapies to improve the patient's prognosis rather than strengthen anti‐tumour chemotherapy. Researchers recently realised that cancer is a kind of disease with a metabolic disorder, and metabolic reprogramming is becoming a new cancer hallmark. Hence, our study's primary purpose is to explore the value of genes related to osteosarcoma metabolism. METHODS: From public databases, three osteosarcoma datasets with adequate clinical information were obtained. Besides, the IMvigor dataset through the ‘IMvigor’ package as a supplement was downloaded, the metabolic‐related genes were identified, and these genes were used to construct the metabolic‐related gene pairs (MRGP). Based on the prognosis‐related MRGP, two molecular subtypes were identified. There are significant differences in the metabolic characteristics between the two molecular subtypes. Subsequently, the MRGP signature is constructed using the least absolute shrinkage and selection operator regression method. Finally, use SubMap analysis to evaluate the response of patients in the MRPG signature group to immunotherapy. RESULTS: The MRGP signature can reliably predict overall survival in patients with osteosarcoma. The MRGP signature is also associated with osteosarcoma patients’ metastatic status and can be used for subsequent risk classification of metastatic patients. The immunotherapy is more likely to benefit the patients in the MRGP low‐risk group. CONCLUSION: Metabolic‐related gene pairs signature can assess the prognosis of patients with osteosarcoma. |
format | Online Article Text |
id | pubmed-8267140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82671402021-07-13 Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients Li, Long‐Qing Zhang, Liang‐Hao Yuan, Yao‐bo Lu, Xin‐Chang Zhang, Yi Liu, Yong‐Kui Wen, Jia Khader, Manhas Abdul Liu, Tao Li, Jia‐Zhen Zhang, Yan Cancer Med Cancer Biology BACKGROUND: Osteosarcoma is a tumour of malignant origin in children and adolescents. Recent progression indicates that it is necessary to develop new therapies to improve the patient's prognosis rather than strengthen anti‐tumour chemotherapy. Researchers recently realised that cancer is a kind of disease with a metabolic disorder, and metabolic reprogramming is becoming a new cancer hallmark. Hence, our study's primary purpose is to explore the value of genes related to osteosarcoma metabolism. METHODS: From public databases, three osteosarcoma datasets with adequate clinical information were obtained. Besides, the IMvigor dataset through the ‘IMvigor’ package as a supplement was downloaded, the metabolic‐related genes were identified, and these genes were used to construct the metabolic‐related gene pairs (MRGP). Based on the prognosis‐related MRGP, two molecular subtypes were identified. There are significant differences in the metabolic characteristics between the two molecular subtypes. Subsequently, the MRGP signature is constructed using the least absolute shrinkage and selection operator regression method. Finally, use SubMap analysis to evaluate the response of patients in the MRPG signature group to immunotherapy. RESULTS: The MRGP signature can reliably predict overall survival in patients with osteosarcoma. The MRGP signature is also associated with osteosarcoma patients’ metastatic status and can be used for subsequent risk classification of metastatic patients. The immunotherapy is more likely to benefit the patients in the MRGP low‐risk group. CONCLUSION: Metabolic‐related gene pairs signature can assess the prognosis of patients with osteosarcoma. John Wiley and Sons Inc. 2021-05-28 /pmc/articles/PMC8267140/ /pubmed/34047495 http://dx.doi.org/10.1002/cam4.3984 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Biology Li, Long‐Qing Zhang, Liang‐Hao Yuan, Yao‐bo Lu, Xin‐Chang Zhang, Yi Liu, Yong‐Kui Wen, Jia Khader, Manhas Abdul Liu, Tao Li, Jia‐Zhen Zhang, Yan Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients |
title | Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients |
title_full | Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients |
title_fullStr | Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients |
title_full_unstemmed | Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients |
title_short | Signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients |
title_sort | signature based on metabolic‐related gene pairs can predict overall survival of osteosarcoma patients |
topic | Cancer Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267140/ https://www.ncbi.nlm.nih.gov/pubmed/34047495 http://dx.doi.org/10.1002/cam4.3984 |
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