A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas
Lower-grade gliomas (LGG) are the most common intracranial malignancies that readily evolve to high-grade gliomas and increase drug resistance. Paraptosis is defined as a nonapoptotic form of programmed cell death, which is gradually focused on patients with gliomas to develop treatment options. How...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/2022/6465760 |
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| author | Xi-Feng Qian Jia-Hao Zhang Yue-Xue Mai Xin Yin Yu-Bin Zheng Zi-Yuan Yu Guo-Dong Zhu Xu-Guang Guo |
| author_facet | Xi-Feng Qian Jia-Hao Zhang Yue-Xue Mai Xin Yin Yu-Bin Zheng Zi-Yuan Yu Guo-Dong Zhu Xu-Guang Guo |
| author_sort | Xi-Feng Qian |
| collection | DOAJ |
| description | Lower-grade gliomas (LGG) are the most common intracranial malignancies that readily evolve to high-grade gliomas and increase drug resistance. Paraptosis is defined as a nonapoptotic form of programmed cell death, which is gradually focused on patients with gliomas to develop treatment options. However, the specific role of paraptosis in LGG and its correlation is still vague. In this study, we first establish the novel paraptosis-based prognostic model for LGG patients. The relevant data of LGG patients were acquired from The Cancer Genome Atlas database, and we found that LGG patients could be divided into three different clusters based on paraptosis via consensus cluster analysis. Through least absolute shrinkage and selection operator regression analysis and multivariate Cox regression analysis, 10-paraptosis-related gene (PRG) signatures (CDK4, TNK2, DSTYK, CDKN3, CCR4, CASP9, HSPA5, RGR, LPAR1, and PDCD6IP) were identified to separate LGG patients into high- and low-risk subgroups successfully. The Kaplan–Meier analysis and time-dependent receiver-operating characteristic showed that the performances of predicting overall survival (OS) were dramatically high. The parallel results were reappeared and verified by using the Chinese Glioma Genome Atlas and Gene Expression Omnibus databases. Independent prognostic analysis and nomogram construction implied that risk scores could be considered the independent factor to predict OS. Enrichment analysis indicated that immune-related biological processes were generally enriched, and different immune statuses were highly infiltrated in high-risk group. We also confirmed the potential relationship of 10-PRG signatures and drug sensitivity of Food and Drug Administration–approved drugs. In summary, our findings provide a novel knowledge of paraptosis status and crucial direction to further explore the role of PRG signatures in LGG. |
| format | Article |
| id | doaj-art-e55227d6171a44d0a2d87cd634998df6 |
| institution | Kabale University |
| issn | 2314-4378 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Genomics |
| spelling | doaj-art-e55227d6171a44d0a2d87cd634998df62025-02-03T05:57:54ZengWileyInternational Journal of Genomics2314-43782022-01-01202210.1155/2022/6465760A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade GliomasXi-Feng Qian0Jia-Hao Zhang1Yue-Xue Mai2Xin Yin3Yu-Bin Zheng4Zi-Yuan Yu5Guo-Dong Zhu6Xu-Guang Guo7Department of Clinical Laboratory MedicineDepartment of Clinical Laboratory MedicineDepartment of Clinical Laboratory MedicineDepartment of Clinical Laboratory MedicineDepartment of Clinical Laboratory MedicineDepartment of Clinical Laboratory MedicineDepartment of OncologyDepartment of Clinical Laboratory MedicineLower-grade gliomas (LGG) are the most common intracranial malignancies that readily evolve to high-grade gliomas and increase drug resistance. Paraptosis is defined as a nonapoptotic form of programmed cell death, which is gradually focused on patients with gliomas to develop treatment options. However, the specific role of paraptosis in LGG and its correlation is still vague. In this study, we first establish the novel paraptosis-based prognostic model for LGG patients. The relevant data of LGG patients were acquired from The Cancer Genome Atlas database, and we found that LGG patients could be divided into three different clusters based on paraptosis via consensus cluster analysis. Through least absolute shrinkage and selection operator regression analysis and multivariate Cox regression analysis, 10-paraptosis-related gene (PRG) signatures (CDK4, TNK2, DSTYK, CDKN3, CCR4, CASP9, HSPA5, RGR, LPAR1, and PDCD6IP) were identified to separate LGG patients into high- and low-risk subgroups successfully. The Kaplan–Meier analysis and time-dependent receiver-operating characteristic showed that the performances of predicting overall survival (OS) were dramatically high. The parallel results were reappeared and verified by using the Chinese Glioma Genome Atlas and Gene Expression Omnibus databases. Independent prognostic analysis and nomogram construction implied that risk scores could be considered the independent factor to predict OS. Enrichment analysis indicated that immune-related biological processes were generally enriched, and different immune statuses were highly infiltrated in high-risk group. We also confirmed the potential relationship of 10-PRG signatures and drug sensitivity of Food and Drug Administration–approved drugs. In summary, our findings provide a novel knowledge of paraptosis status and crucial direction to further explore the role of PRG signatures in LGG.http://dx.doi.org/10.1155/2022/6465760 |
| spellingShingle | Xi-Feng Qian Jia-Hao Zhang Yue-Xue Mai Xin Yin Yu-Bin Zheng Zi-Yuan Yu Guo-Dong Zhu Xu-Guang Guo A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas International Journal of Genomics |
| title | A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas |
| title_full | A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas |
| title_fullStr | A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas |
| title_full_unstemmed | A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas |
| title_short | A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas |
| title_sort | novel insight into paraptosis related classification and signature in lower grade gliomas |
| url | http://dx.doi.org/10.1155/2022/6465760 |
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