Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients
Glioma is a highly malignant brain tumor with a poor survival rate. The involvement of fatty acid metabolism in glioma was examined to find viable treatment options. The information was gathered from the Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases. A prognostic si...
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Frontiers Media S.A.
2022-07-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.902143/full |
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author | Feng Jiang Fei Luo Ni Zeng Yan Mao Xinfang Tang Jimei Wang Yifang Hu Chuyan Wu |
author_facet | Feng Jiang Fei Luo Ni Zeng Yan Mao Xinfang Tang Jimei Wang Yifang Hu Chuyan Wu |
author_sort | Feng Jiang |
collection | DOAJ |
description | Glioma is a highly malignant brain tumor with a poor survival rate. The involvement of fatty acid metabolism in glioma was examined to find viable treatment options. The information was gathered from the Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases. A prognostic signature containing fatty acid metabolism-dependent genes (FAMDs) was developed to predict glioma outcome by multivariate and most minor absolute shrinkage and selection operator (LASSO) regression analyses. In the TCGA cohort, individuals with a good score had a worse prognosis than those with a poor score, validated in the CGGA cohort. According to further research by “pRRophetic” R package, higher-risk individuals were more susceptible to crizotinib. According to a complete study of the connection between the predictive risk rating model and tumor microenvironment (TME) features, high-risk individuals were eligible for activating the immune cell-associated receptor pathway. We also discovered that anti-PD-1/PD-L1 and anti-CTLA4 immunotherapy are more effective in high-risk individuals. Furthermore, we demonstrated that CCNA2 promotes glioma proliferation, migration, and invasion and regulates macrophage polarization. Therefore, examining the fatty acid metabolism pathway aids our understanding of TME invasion properties, allowing us to develop more effective immunotherapies for glioma. |
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issn | 1664-3224 |
language | English |
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publishDate | 2022-07-01 |
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spelling | doaj.art-a01083dd2e574ed9994ddc9bb56edc162022-12-22T02:59:29ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-07-011310.3389/fimmu.2022.902143902143Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma PatientsFeng Jiang0Fei Luo1Ni Zeng2Yan Mao3Xinfang Tang4Jimei Wang5Yifang Hu6Chuyan Wu7Department of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, ChinaDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, ChinaDepartment of Dermatology, Affiliated Hospital of Zunyi Medical University, Zunyi, ChinaDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Nephrology, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang, ChinaDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, ChinaDepartment of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaGlioma is a highly malignant brain tumor with a poor survival rate. The involvement of fatty acid metabolism in glioma was examined to find viable treatment options. The information was gathered from the Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases. A prognostic signature containing fatty acid metabolism-dependent genes (FAMDs) was developed to predict glioma outcome by multivariate and most minor absolute shrinkage and selection operator (LASSO) regression analyses. In the TCGA cohort, individuals with a good score had a worse prognosis than those with a poor score, validated in the CGGA cohort. According to further research by “pRRophetic” R package, higher-risk individuals were more susceptible to crizotinib. According to a complete study of the connection between the predictive risk rating model and tumor microenvironment (TME) features, high-risk individuals were eligible for activating the immune cell-associated receptor pathway. We also discovered that anti-PD-1/PD-L1 and anti-CTLA4 immunotherapy are more effective in high-risk individuals. Furthermore, we demonstrated that CCNA2 promotes glioma proliferation, migration, and invasion and regulates macrophage polarization. Therefore, examining the fatty acid metabolism pathway aids our understanding of TME invasion properties, allowing us to develop more effective immunotherapies for glioma.https://www.frontiersin.org/articles/10.3389/fimmu.2022.902143/fullfatty acid metabolismtumor microenvironmentprognosissignatureglioma |
spellingShingle | Feng Jiang Fei Luo Ni Zeng Yan Mao Xinfang Tang Jimei Wang Yifang Hu Chuyan Wu Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients Frontiers in Immunology fatty acid metabolism tumor microenvironment prognosis signature glioma |
title | Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients |
title_full | Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients |
title_fullStr | Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients |
title_full_unstemmed | Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients |
title_short | Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients |
title_sort | characterization of fatty acid metabolism related genes landscape for predicting prognosis and aiding immunotherapy in glioma patients |
topic | fatty acid metabolism tumor microenvironment prognosis signature glioma |
url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.902143/full |
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