Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma
Background: Despite advancements with intensity-modulated radiation therapy (IMRT), about 10 % of nasopharyngeal carcinoma (NPC) patients remain resistant to radiotherapy, leading to recurrence and poor prognosis. This study aims to identify radiosensitivity-related genes in NPC and develop a progno...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Translational Oncology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1936523324003693 |
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| author | Yi Li Xinyi Hong Wenqian Xu Jinhong Guo Yongyuan Su Haolan Li Yingjie Xie Xing Chen Xiong Zheng Sufang Qiu |
| author_facet | Yi Li Xinyi Hong Wenqian Xu Jinhong Guo Yongyuan Su Haolan Li Yingjie Xie Xing Chen Xiong Zheng Sufang Qiu |
| author_sort | Yi Li |
| collection | DOAJ |
| description | Background: Despite advancements with intensity-modulated radiation therapy (IMRT), about 10 % of nasopharyngeal carcinoma (NPC) patients remain resistant to radiotherapy, leading to recurrence and poor prognosis. This study aims to identify radiosensitivity-related genes in NPC and develop a prognostic model to predict patient outcomes. Methods: We analyzed 179 NPC samples from Fujian Cancer Hospital using RNA sequencing. Differentially expressed genes (DEGs) were identified between radiotherapy-sensitive and resistant samples. Machine learning algorithms and Cox regression were used to construct a prognostic risk model, validated in the GSE102349 dataset. Additional analyses included functional pathway, immune infiltration, and drug sensitivity. Results: A risk model based on six genes (LCN8, IGSF1, RIMS2, RBP4, TBX10, ETV4) was developed. Kaplan-Meier analysis showed significantly shorter progression-free survival (PFS) in the high-risk group. The model's AUC values were 0.872, 0.807, and 0.802 for 1-year, 3-year, and 5-year predictions. A nomogram including clinical factors was created, and enrichment analysis linked the high-risk group to radiotherapy resistance mechanisms. Conclusions: This study established a novel radiosensitivity-related prognostic model, offering insights into NPC prognosis and radiotherapy resistance mechanisms. |
| format | Article |
| id | doaj-art-47fb8e5d04b649d8abcc0253811163b5 |
| institution | Kabale University |
| issn | 1936-5233 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Translational Oncology |
| spelling | doaj-art-47fb8e5d04b649d8abcc0253811163b52025-01-22T05:41:27ZengElsevierTranslational Oncology1936-52332025-02-0152102243Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinomaYi Li0Xinyi Hong1Wenqian Xu2Jinhong Guo3Yongyuan Su4Haolan Li5Yingjie Xie6Xing Chen7Xiong Zheng8Sufang Qiu9Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, China; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, ChinaClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, China; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, ChinaClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, China; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, ChinaFujian Medical University, Fuzhou, ChinaFujian Medical University, Fuzhou, ChinaFujian Medical University, Fuzhou, ChinaFujian Medical University, Fuzhou, ChinaClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, China; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, ChinaClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, China; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, China; Corresponding authors.Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, China; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, China; Corresponding authors.Background: Despite advancements with intensity-modulated radiation therapy (IMRT), about 10 % of nasopharyngeal carcinoma (NPC) patients remain resistant to radiotherapy, leading to recurrence and poor prognosis. This study aims to identify radiosensitivity-related genes in NPC and develop a prognostic model to predict patient outcomes. Methods: We analyzed 179 NPC samples from Fujian Cancer Hospital using RNA sequencing. Differentially expressed genes (DEGs) were identified between radiotherapy-sensitive and resistant samples. Machine learning algorithms and Cox regression were used to construct a prognostic risk model, validated in the GSE102349 dataset. Additional analyses included functional pathway, immune infiltration, and drug sensitivity. Results: A risk model based on six genes (LCN8, IGSF1, RIMS2, RBP4, TBX10, ETV4) was developed. Kaplan-Meier analysis showed significantly shorter progression-free survival (PFS) in the high-risk group. The model's AUC values were 0.872, 0.807, and 0.802 for 1-year, 3-year, and 5-year predictions. A nomogram including clinical factors was created, and enrichment analysis linked the high-risk group to radiotherapy resistance mechanisms. Conclusions: This study established a novel radiosensitivity-related prognostic model, offering insights into NPC prognosis and radiotherapy resistance mechanisms.http://www.sciencedirect.com/science/article/pii/S1936523324003693NPCRadiotherapy sensitivityRadiation resistancePrognostic model |
| spellingShingle | Yi Li Xinyi Hong Wenqian Xu Jinhong Guo Yongyuan Su Haolan Li Yingjie Xie Xing Chen Xiong Zheng Sufang Qiu Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma Translational Oncology NPC Radiotherapy sensitivity Radiation resistance Prognostic model |
| title | Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma |
| title_full | Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma |
| title_fullStr | Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma |
| title_full_unstemmed | Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma |
| title_short | Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma |
| title_sort | identification and validation of a prognostic risk model based on radiosensitivity related genes in nasopharyngeal carcinoma |
| topic | NPC Radiotherapy sensitivity Radiation resistance Prognostic model |
| url | http://www.sciencedirect.com/science/article/pii/S1936523324003693 |
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