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• W4327556133 abstract "Abstract Introduction: Immunogenic cell death refers to the process by which tumor cells die as a result of external stimuli while also undergoing a non-immunogenic to immunogenic transition and influencing the body's production of an immune response against the tumor. The association between immunogenic cell death-related indicators and cervical cancer prognosis is currently unknown, despite the fact that immunogenic cell death offers fresh perspectives for immunotherapeutic treatments for malignancies. Because of this, we developed a model of genes related to immunogenic cell death to forecast the prognosis of cervical cancer patients. Materials and Methods In this study, the expression, clinicopathological, and mutation data of cervical cancer patient were taken from the TCGA database. The training set consisted of the RNA-seq transcriptome data of cervical cancer patients from the TCGA database along with the associated clinicopathological data, and the validation set consisted of GSE44001. Then, using the test set for validation, we built prognostic models of immunogenic cell death-related genes based on the training set, which were applied to predict the survival of cervical cancer patients. Results The area under the curve for the 1, 3, and 5 years survival rates was found to be 0.809, 0.695, and 0.709, respectively, in this study. The prognostic model developed based on six immunogenic cell death-related genes associated with cervical cancer prognosis was found to be useful for predicting survival outcomes for cervical cancer patients. and prognostic factors had little effect on the model we created. Additionally, we created a column line graph using this prediction model in conjunction with additional clinical variables to forecast the patients' chances of surviving. Conclusion The survival results of patients with cervical cancer can be more accurately predicted using the predictive model of immunogenic cell death-related genes and nomogram created in this study. Furthermore, this risk model can be utilized as a stand-alone prognostic indicator to forecast the prognosis for cervical cancer patients. Our research on the genes involved in immunogenic cell death can also help predict how other cancer types will fare in the future." @default.
• W4327556133 created "2023-03-17" @default.
• W4327556133 creator A5058065414 @default.
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• W4327556133 date "2023-03-16" @default.
• W4327556133 modified "2023-09-27" @default.
• W4327556133 title "An Immunogenic Cell Death-Related Genes Signature: Predicting Prognosis in Patients with Cervical Cancer" @default.
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• W4327556133 doi "https://doi.org/10.21203/rs.3.rs-2620356/v1" @default.
• W4327556133 hasPublicationYear "2023" @default.
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