Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancer
Background: ith the ongoing development of targeted therapy, non-apoptotic cell death, including necroptosis, has become a popular topic in the field of prevention and treatment. The purpose of this study was to explore the effect of necroptosis-related genes (NRGs) on the classification of ovarian...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.1043870/full |
| _version_ | 1811301086939578368 |
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| author | Chen Ji Yue He Yan Wang |
| author_facet | Chen Ji Yue He Yan Wang |
| author_sort | Chen Ji |
| collection | DOAJ |
| description | Background: ith the ongoing development of targeted therapy, non-apoptotic cell death, including necroptosis, has become a popular topic in the field of prevention and treatment. The purpose of this study was to explore the effect of necroptosis-related genes (NRGs) on the classification of ovarian cancer (OV) subtypes and to develop a necroptosis-related risk score (NRRS) classification system.Methods: 74 NRGs were obtained from the published studies, and univariate COX regression analysis was carried out between them and OV survival. Consensus clustering analysis was performed on OV samples according to the expression of NRGs related to prognosis. Furthermore, the NRRS model was developed by combining Weighted Gene Co-Expression Network Analysis (WGCNA) with least absolute shrinkage and selection operator (Lasso)-penalized Cox regression and multivariate Cox regression analysis. And the decision tree model was constructed based on the principle of random forest screening factors principle.Results: According to the post-related NRGs, OV was divided into two necroptosis subtypes. Compared with Cluster 1 (C1), the overall survival (OS) of Cluster 2 (C2) was significantly shorter, stromal score and immune score, the infiltration level of tumor associated immune cells and the expression of 20 immune checkpoints were significantly higher. WGCNA identified the blue module most related to necroptosis subtype, and 12 genes in the module were used to construct NRRS. NRRS was an independent prognostic variable of OV. The OS of samples with lower NRRS was significantly longer, and tumor mutation burden and homologous recombination defect were more obvious.Conclusion: This study showed that necroptosis plays an important role in the classification, prognosis, immune infiltration and biological characteristics of OV subtypes. The evaluation of tumor necroptosis may provide a new perspective for OV treatment. |
| first_indexed | 2024-04-13T07:02:31Z |
| format | Article |
| id | doaj.art-c74e064d364143649961d57adb50ec06 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-13T07:02:31Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-c74e064d364143649961d57adb50ec062022-12-22T02:57:05ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-12-011310.3389/fgene.2022.10438701043870Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancerChen JiYue HeYan WangBackground: ith the ongoing development of targeted therapy, non-apoptotic cell death, including necroptosis, has become a popular topic in the field of prevention and treatment. The purpose of this study was to explore the effect of necroptosis-related genes (NRGs) on the classification of ovarian cancer (OV) subtypes and to develop a necroptosis-related risk score (NRRS) classification system.Methods: 74 NRGs were obtained from the published studies, and univariate COX regression analysis was carried out between them and OV survival. Consensus clustering analysis was performed on OV samples according to the expression of NRGs related to prognosis. Furthermore, the NRRS model was developed by combining Weighted Gene Co-Expression Network Analysis (WGCNA) with least absolute shrinkage and selection operator (Lasso)-penalized Cox regression and multivariate Cox regression analysis. And the decision tree model was constructed based on the principle of random forest screening factors principle.Results: According to the post-related NRGs, OV was divided into two necroptosis subtypes. Compared with Cluster 1 (C1), the overall survival (OS) of Cluster 2 (C2) was significantly shorter, stromal score and immune score, the infiltration level of tumor associated immune cells and the expression of 20 immune checkpoints were significantly higher. WGCNA identified the blue module most related to necroptosis subtype, and 12 genes in the module were used to construct NRRS. NRRS was an independent prognostic variable of OV. The OS of samples with lower NRRS was significantly longer, and tumor mutation burden and homologous recombination defect were more obvious.Conclusion: This study showed that necroptosis plays an important role in the classification, prognosis, immune infiltration and biological characteristics of OV subtypes. The evaluation of tumor necroptosis may provide a new perspective for OV treatment.https://www.frontiersin.org/articles/10.3389/fgene.2022.1043870/fullnecroptosisovarian cancerclassification of subtypesrisk modelprognosisimmune infiltration |
| spellingShingle | Chen Ji Yue He Yan Wang Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancer Frontiers in Genetics necroptosis ovarian cancer classification of subtypes risk model prognosis immune infiltration |
| title | Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancer |
| title_full | Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancer |
| title_fullStr | Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancer |
| title_full_unstemmed | Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancer |
| title_short | Identification of necroptosis subtypes and development of necroptosis-related risk score model for in ovarian cancer |
| title_sort | identification of necroptosis subtypes and development of necroptosis related risk score model for in ovarian cancer |
| topic | necroptosis ovarian cancer classification of subtypes risk model prognosis immune infiltration |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.1043870/full |
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