Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma
Abstract Background Establishing a prognostic risk model based on immunological and disulfidptosis signatures enables precise prognosis prediction of oral squamous cell carcinoma (OSCC). Methods Differentially expressed immune and disulfidptosis genes were identified in OSCC and normal tissues. We e...
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BMC
2025-02-01
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| Series: | BMC Oral Health |
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| Online Access: | https://doi.org/10.1186/s12903-024-05279-2 |
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| author | Xuechen Wu Boxin Liu Shi-Zhou Deng Tengteng Xiong Lin Dai Bo Cheng |
| author_facet | Xuechen Wu Boxin Liu Shi-Zhou Deng Tengteng Xiong Lin Dai Bo Cheng |
| author_sort | Xuechen Wu |
| collection | DOAJ |
| description | Abstract Background Establishing a prognostic risk model based on immunological and disulfidptosis signatures enables precise prognosis prediction of oral squamous cell carcinoma (OSCC). Methods Differentially expressed immune and disulfidptosis genes were identified in OSCC and normal tissues. We examined the model’s clinical applicability and its relationship to immune cell infiltration. Additionally, the risk score, ssGSEA, ESTIMATE, and CIBERSORT were used to evaluate the intrinsic molecular subtypes, immunological checkpoints, abundances of tumor-infiltrating immune cell types and proportions between the two risk groups. GO-KEGG and GSVA analyses were performed to identify enriched pathways. Results We analyzed the correlation immune genes based on the 14 disulfidptosis-related genes, and found 379 disulfidptosis-related immune genes (DRIGs). After univariate Cox regression we obtained 30 DRIGs and least absolute shrinkage and selection operator (LASSO) regression to reduce the number of genes to 16. Finally we created a nine-DRIGs risk model, of which four were upregulated and five were downregulated. The analysis results showed that disulfidptosis was tightly related to immune cells, immunological-related pathways, the tumor microenvironment (TME), immune checkpoints, human leukocyte antigen (HLA), and tumor mutational burden (TMB). The nomogram, integrating the risk score and clinical factors, accurately predicted overall survival. Conclusions This novel risk model highlights the role of disulfidptosis-related immune genes in OSCC prognosis. With this model, we can more accurately predict the prognosis of patients with OSCC, as well as assess the potential effects of their TME and immunotherapy. |
| format | Article |
| id | doaj-art-bb66ab4692914093ac1c1234165b429d |
| institution | Kabale University |
| issn | 1472-6831 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Oral Health |
| spelling | doaj-art-bb66ab4692914093ac1c1234165b429d2025-02-09T12:57:22ZengBMCBMC Oral Health1472-68312025-02-0125111210.1186/s12903-024-05279-2Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinomaXuechen Wu0Boxin Liu1Shi-Zhou Deng2Tengteng Xiong3Lin Dai4Bo Cheng5Department of Stomatology, Zhongnan Hospital of Wuhan UniversityDepartment of Blood Transfusion, Xi’an No.3 Hospital, The Affiliated Hospital of Northwest UniversityDepartment of Hepatobiliary Surgery, Xi-Jing Hospital, The Fourth Military Medical UniversityDepartment of Stomatology, Zhongnan Hospital of Wuhan UniversityDepartment of Stomatology, Wuhan No.1 HospitalDepartment of Stomatology, Zhongnan Hospital of Wuhan UniversityAbstract Background Establishing a prognostic risk model based on immunological and disulfidptosis signatures enables precise prognosis prediction of oral squamous cell carcinoma (OSCC). Methods Differentially expressed immune and disulfidptosis genes were identified in OSCC and normal tissues. We examined the model’s clinical applicability and its relationship to immune cell infiltration. Additionally, the risk score, ssGSEA, ESTIMATE, and CIBERSORT were used to evaluate the intrinsic molecular subtypes, immunological checkpoints, abundances of tumor-infiltrating immune cell types and proportions between the two risk groups. GO-KEGG and GSVA analyses were performed to identify enriched pathways. Results We analyzed the correlation immune genes based on the 14 disulfidptosis-related genes, and found 379 disulfidptosis-related immune genes (DRIGs). After univariate Cox regression we obtained 30 DRIGs and least absolute shrinkage and selection operator (LASSO) regression to reduce the number of genes to 16. Finally we created a nine-DRIGs risk model, of which four were upregulated and five were downregulated. The analysis results showed that disulfidptosis was tightly related to immune cells, immunological-related pathways, the tumor microenvironment (TME), immune checkpoints, human leukocyte antigen (HLA), and tumor mutational burden (TMB). The nomogram, integrating the risk score and clinical factors, accurately predicted overall survival. Conclusions This novel risk model highlights the role of disulfidptosis-related immune genes in OSCC prognosis. With this model, we can more accurately predict the prognosis of patients with OSCC, as well as assess the potential effects of their TME and immunotherapy.https://doi.org/10.1186/s12903-024-05279-2DisulfidptosisImmune genePrognosisRisk modelOral squamous cell carcinomaTCGA |
| spellingShingle | Xuechen Wu Boxin Liu Shi-Zhou Deng Tengteng Xiong Lin Dai Bo Cheng Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma BMC Oral Health Disulfidptosis Immune gene Prognosis Risk model Oral squamous cell carcinoma TCGA |
| title | Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma |
| title_full | Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma |
| title_fullStr | Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma |
| title_full_unstemmed | Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma |
| title_short | Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma |
| title_sort | disulfidptosis related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma |
| topic | Disulfidptosis Immune gene Prognosis Risk model Oral squamous cell carcinoma TCGA |
| url | https://doi.org/10.1186/s12903-024-05279-2 |
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