Yuhan Wang , Miao Yu , Pin Lv , Ruoyuan Li , Xiang Wu , Yaping Wu
{"title":"鉴定来自铁中毒相关基因的新特征以预测头颈部鳞状细胞癌的预后、免疫景观和化疗敏感性。","authors":"Yuhan Wang , Miao Yu , Pin Lv , Ruoyuan Li , Xiang Wu , Yaping Wu","doi":"10.1016/j.jormas.2025.102392","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Ferroptosis<span><span><span> resistance is increasingly appreciated as an indispensable factor for tumor initiation, progression, and therapeutic resistance in various human </span>malignancies including </span>head and neck squamous cell carcinoma (HNSCC). Herein, we sought to develop a novel signature utilizing ferroptosis-related genes (FRGs) for prognosis and therapeutic prediction in HNSCC.</span></div></div><div><h3>Methods</h3><div>A prognostic signature<span><span> specific to HNSCC was developed using univariate Cox regression and LASSO-penalized multivariate Cox regression analyses. A nomogram incorporating this signature and selected clinicopathological factors was created through multivariate Cox regression. The effectiveness of the FRG signature in predicting </span>tumor mutation burden (TMB), immune status, and responses to chemotherapy was also evaluated.</span></div></div><div><h3>Results</h3><div><span><span>The FRG signature based on eight genes (AURKA, LPIN1, MIOX, </span>CDKN2A, PRKAA2, CISD2, TRIB3, and ASNS) successfully classified patients into subgroups with distinct outcomes across multiple cohorts. A FRG nomogram was constructed with good</span><strong>-</strong><span>prognostic performance. Additionally, higher FRG signature scores were positively associated with TMB and negatively correlated with tumor-infiltrating immune cells, which were linked to sensitivity to several chemotherapeutic drugs.</span></div></div><div><h3>Conclusions</h3><div>Our findings provide strong evidence that the FRG-derived signature/nomogram can effectively predict both prognosis and therapeutic response in HNSCC.</div></div>","PeriodicalId":55993,"journal":{"name":"Journal of Stomatology Oral and Maxillofacial Surgery","volume":"126 5","pages":"Article 102392"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of a novel signature derived from ferroptosis-related genes to predict prognosis, immune landscape and chemotherapeutic sensitivity in head and neck squamous cell carcinoma\",\"authors\":\"Yuhan Wang , Miao Yu , Pin Lv , Ruoyuan Li , Xiang Wu , Yaping Wu\",\"doi\":\"10.1016/j.jormas.2025.102392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Ferroptosis<span><span><span> resistance is increasingly appreciated as an indispensable factor for tumor initiation, progression, and therapeutic resistance in various human </span>malignancies including </span>head and neck squamous cell carcinoma (HNSCC). Herein, we sought to develop a novel signature utilizing ferroptosis-related genes (FRGs) for prognosis and therapeutic prediction in HNSCC.</span></div></div><div><h3>Methods</h3><div>A prognostic signature<span><span> specific to HNSCC was developed using univariate Cox regression and LASSO-penalized multivariate Cox regression analyses. A nomogram incorporating this signature and selected clinicopathological factors was created through multivariate Cox regression. The effectiveness of the FRG signature in predicting </span>tumor mutation burden (TMB), immune status, and responses to chemotherapy was also evaluated.</span></div></div><div><h3>Results</h3><div><span><span>The FRG signature based on eight genes (AURKA, LPIN1, MIOX, </span>CDKN2A, PRKAA2, CISD2, TRIB3, and ASNS) successfully classified patients into subgroups with distinct outcomes across multiple cohorts. A FRG nomogram was constructed with good</span><strong>-</strong><span>prognostic performance. Additionally, higher FRG signature scores were positively associated with TMB and negatively correlated with tumor-infiltrating immune cells, which were linked to sensitivity to several chemotherapeutic drugs.</span></div></div><div><h3>Conclusions</h3><div>Our findings provide strong evidence that the FRG-derived signature/nomogram can effectively predict both prognosis and therapeutic response in HNSCC.</div></div>\",\"PeriodicalId\":55993,\"journal\":{\"name\":\"Journal of Stomatology Oral and Maxillofacial Surgery\",\"volume\":\"126 5\",\"pages\":\"Article 102392\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stomatology Oral and Maxillofacial Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468785525001788\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stomatology Oral and Maxillofacial Surgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468785525001788","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
Identification of a novel signature derived from ferroptosis-related genes to predict prognosis, immune landscape and chemotherapeutic sensitivity in head and neck squamous cell carcinoma
Background
Ferroptosis resistance is increasingly appreciated as an indispensable factor for tumor initiation, progression, and therapeutic resistance in various human malignancies including head and neck squamous cell carcinoma (HNSCC). Herein, we sought to develop a novel signature utilizing ferroptosis-related genes (FRGs) for prognosis and therapeutic prediction in HNSCC.
Methods
A prognostic signature specific to HNSCC was developed using univariate Cox regression and LASSO-penalized multivariate Cox regression analyses. A nomogram incorporating this signature and selected clinicopathological factors was created through multivariate Cox regression. The effectiveness of the FRG signature in predicting tumor mutation burden (TMB), immune status, and responses to chemotherapy was also evaluated.
Results
The FRG signature based on eight genes (AURKA, LPIN1, MIOX, CDKN2A, PRKAA2, CISD2, TRIB3, and ASNS) successfully classified patients into subgroups with distinct outcomes across multiple cohorts. A FRG nomogram was constructed with good-prognostic performance. Additionally, higher FRG signature scores were positively associated with TMB and negatively correlated with tumor-infiltrating immune cells, which were linked to sensitivity to several chemotherapeutic drugs.
Conclusions
Our findings provide strong evidence that the FRG-derived signature/nomogram can effectively predict both prognosis and therapeutic response in HNSCC.