Therefore, it is expected to become a drug target and clinical biomarker 6. They not only predict the survival of patients but also affect tumor treatment. The type and proportion of immune cell infiltration in tumors are closely related to clinical results. More evidence shows that tumor immune cell infiltration is closely related to the occurrence and development of cancers 5. Therefore, the study of new treatment models is important for improving the prognosis of patients with advanced and recurrent CC.Īt present, with the rapid development of molecular cell biology and immunology, immunotherapy has gradually become a new treatment modality for CC 4. The survival rate in advanced and recurrent cases is even lower. For locally advanced and metastatic cases, the effect of the above treatment methods is not satisfactory, and the 5-year survival rate is only 57.1% and 17.3%, respectively 3. The local lesions of early CC can be cured through surgery, radiotherapy, or chemotherapy. According to statistics by the World Health Organization, the incidence and death rates of CC are > 500 000/year and > 10 000/year, respectively 2. CD8+ and CD4+ T cells are closely related to the occurrence and development of CC.Ĭervical cancer (CC) is one of the most common gynecologic malignancies in the clinical setting, and its incidence rate ranks fourth in female malignant tumors 1. CEP55, MCM2, RFC4, and RRM2 can be used as diagnostic markers for CC. The survival analysis of the hub gene showed that CEP55, MCM2, RFC4, and RRM2 had high diagnostic value. The immune cell infiltration analysis showed that T cells were the main infiltrating immune cells in CC, especially T cells CD8+ and CD4+ . The enrichment pathway is closely related to the interaction between viral proteins and cytokines and cytokine receptors, the interleukin 17 signaling pathway, and chemokine signaling pathway. ![]() DEGs are mainly involved in molecular functions such as serine-peptidase activity, serine-hydrolase activity, and chemokine activity. A total of 144 DEGs and 12 hub genes were identified. ![]() Immune cell infiltration in CC was analyzed via scientific reverse convolution algorithm (CIBERSORT), and the hub gene was analyzed via survival analysis to screen the diagnostic biomarkers of CC. A protein–protein interaction network was constructed to screen the hub gene. The differentially expressed genes (DEGs) between CC and normal cervical tissues were identified via R software (version 4.1.1), and their functions and pathways were enriched and analyzed. The expression profile datasets of CC were downloaded from the GEO. In this study, CIBERSORT was used to analyze the immune cell infiltration in CC patients, to evaluate the proportion of immune cell types in CC samples, to quantify the cell composition of the immune response, and to analyze its prognostic value. At present, many studies are exploring the safety and efficacy of immunotherapy for advanced or recurrent CC. Immunotherapy has become a new model for the treatment of CC, especially advanced and recurrent cancer. Cervical cancer (CC) is the most common gynecological malignant tumor.
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