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 kind...
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Published in | Cancer medicine (Malden, MA) Vol. 10; no. 13; pp. 4493 - 4509 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley & Sons, Inc
01.07.2021
John Wiley and Sons Inc Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | 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.
Metabolism‐related gene pair signatures can predict the overall survival of patients with osteosarcoma and are related to tumor metastasis in patients with osteosarcoma.Patients in the MRGP low‐risk group may benefit from immunotherapy |
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Bibliography: | Funding information This work was supported by grants from the Foundation of Henan Educational Committee (grant No.20B320027) to L‐JZ and the Henan Institute of Science and Technology (grant 192102310389 and 182102310370) to ZY. Jia‐Zhen Li and Yan‐Zhang are co‐correspondence authors of this manuscript. Long‐Qing Li, Liang‐Hao Zhang and Yao‐bo Yuan are co‐first authors of this manuscript. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2045-7634 2045-7634 |
DOI: | 10.1002/cam4.3984 |