The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma
Abstract Background Ewing sarcoma (ES) is the second most common primary malignant bone tumor mainly occurring in children, adolescents and young adults with high metastasis and mortality. Autophagy has been reported to be involved in the survival of ES, but the role remains unclear. Therefore, it’s...
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| Format: | Article |
| Language: | English |
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BMC
2022-07-01
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| Series: | BMC Bioinformatics |
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| Online Access: | https://doi.org/10.1186/s12859-022-04849-x |
| _version_ | 1811222201154666496 |
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| author | Jian Wen Lijia Wan Xieping Dong |
| author_facet | Jian Wen Lijia Wan Xieping Dong |
| author_sort | Jian Wen |
| collection | DOAJ |
| description | Abstract Background Ewing sarcoma (ES) is the second most common primary malignant bone tumor mainly occurring in children, adolescents and young adults with high metastasis and mortality. Autophagy has been reported to be involved in the survival of ES, but the role remains unclear. Therefore, it’s necessary to investigate the prognostic value of autophagy related genes using bioinformatics methods. Results ATG2B, ATG10 and DAPK1 were final screened genes for a prognostic model. KM and risk score plots showed patients in high score group had better prognoses both in training and validation sets. C-indexes of the model for training and validation sets were 0.68 and 0.71, respectively. Calibration analyses indicated the model had high prediction accuracy in training and validation sets. The AUC values of ROC for 1-, 3-, 5-year prediction were 0.65, 0.73 and 0.84 in training set, 0.88, 0.73 and 0.79 in validation set, which suggested high prediction accuracy of the model. Decision curve analyses showed that patients could benefit much from the model. Differential and functional analyses suggested that autophagy and apoptosis were upregulated in high risk score group. Conclusions ATG2B, ATG10 and DAPK1 were autophagy related genes with potential protective function in ES. The prognostic model established by them exhibited excellent prediction accuracy and discriminatory capacities. They might be used as potential prognostic biomarkers and therapeutic targets in ES. |
| first_indexed | 2024-04-12T08:11:56Z |
| format | Article |
| id | doaj.art-1fc4c74d7c4e4580a7ea48a2c0d358e6 |
| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-04-12T08:11:56Z |
| publishDate | 2022-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-1fc4c74d7c4e4580a7ea48a2c0d358e62022-12-22T03:40:56ZengBMCBMC Bioinformatics1471-21052022-07-0123111910.1186/s12859-022-04849-xThe prognostic value of autophagy related genes with potential protective function in Ewing sarcomaJian Wen0Lijia Wan1Xieping Dong2Medical College of Nanchang UniversityDepartment of Pediatrics, The Second Xiangya Hospital, Central South UniversityMedical College of Nanchang UniversityAbstract Background Ewing sarcoma (ES) is the second most common primary malignant bone tumor mainly occurring in children, adolescents and young adults with high metastasis and mortality. Autophagy has been reported to be involved in the survival of ES, but the role remains unclear. Therefore, it’s necessary to investigate the prognostic value of autophagy related genes using bioinformatics methods. Results ATG2B, ATG10 and DAPK1 were final screened genes for a prognostic model. KM and risk score plots showed patients in high score group had better prognoses both in training and validation sets. C-indexes of the model for training and validation sets were 0.68 and 0.71, respectively. Calibration analyses indicated the model had high prediction accuracy in training and validation sets. The AUC values of ROC for 1-, 3-, 5-year prediction were 0.65, 0.73 and 0.84 in training set, 0.88, 0.73 and 0.79 in validation set, which suggested high prediction accuracy of the model. Decision curve analyses showed that patients could benefit much from the model. Differential and functional analyses suggested that autophagy and apoptosis were upregulated in high risk score group. Conclusions ATG2B, ATG10 and DAPK1 were autophagy related genes with potential protective function in ES. The prognostic model established by them exhibited excellent prediction accuracy and discriminatory capacities. They might be used as potential prognostic biomarkers and therapeutic targets in ES.https://doi.org/10.1186/s12859-022-04849-xAutophagy related genesProtectiveEwing sarcomaSurvivalPrognostic model |
| spellingShingle | Jian Wen Lijia Wan Xieping Dong The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma BMC Bioinformatics Autophagy related genes Protective Ewing sarcoma Survival Prognostic model |
| title | The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma |
| title_full | The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma |
| title_fullStr | The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma |
| title_full_unstemmed | The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma |
| title_short | The prognostic value of autophagy related genes with potential protective function in Ewing sarcoma |
| title_sort | prognostic value of autophagy related genes with potential protective function in ewing sarcoma |
| topic | Autophagy related genes Protective Ewing sarcoma Survival Prognostic model |
| url | https://doi.org/10.1186/s12859-022-04849-x |
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