Deciphering the Expression, Functional Role, and Prognostic Significance of P53 in Cervical Cancer Through Bioinformatics Analysis

Cervical cancer (CC) poses a persistent global health challenge, and it increases the mortality risk among women. P53 gene plays a pivotal role in CC regulation; yet, a comprehensive exploration of its expression levels and prognostic relevance is not fully understood.

The aim of this research was to utilize bioinformatics analysis on publicly available patient data to investigate and understand the expression patterns of the TP53 gene in CC.

The study utilizes the TIMER 2.0 and UALCAN databases to assess TP53 expression and its relationship with immune cell infiltration in CC. Additionally, genetic alterations in TP53 are explored using the cBioPortal database. Functional enrichment analysis unveils the molecular processes associated with TP53. Kaplan–Meier analysis examines TP53 prognostic significance.

The study reveals that TP53 expression is significantly up regulated in CC, potentially driven by genetic alterations. TP53 expression positively correlates with immune cell infiltration, including CD8 + T cells, CD4 + T cells, neutrophils, and macrophages, suggesting its role in shaping the tumor microenvironment. Functional analysis identifies TP53 involvement in essential cellular processes, including chromatin assembly, DNA conformation change, and carbohydrate kinase activity. Kaplan–Meier analysis highlights the prognostic significance of TP53, showing a poorer overall survival in CC patients with high TP53 expression.

The results underscore the prognostic potential of P53 in CC and its utility as a biomarker for assessing prognosis associated to tumor-immune infiltration. This study provides valuable insights into the multifaceted role of P53 in cervical carcinogenesis and its implications for therapeutic interventions and personalized medicine.