Abstrakt

Uterine endometrioid cancer represents a significant gynecological malignancy with a rising global incidence. Using RNA sequencing,in our pilot study we identified 2,483 differentially expressed genes, comprising protein-coding genes, genes for non-coding RNAs, and pseudogenes, in tumor tissues compared to healthy counterparts. In our study we focused on comparism of proteing-coding genes. Principal Component Analysis revealed clustering based on histological grade. Pathway analysis highlighted the downregulation of Wnt and AGE-RAGE signaling, alongside the upregulation of cell cycle regulation pathways. These findings provide molecular insights into endometrioid cancer and suggest potential biomarkers and therapeutic targets for improved management strategies.