Unveiling the identification of the genetic features and biological characteristics shared between cervical cancer and venous thromboembolism.

OBJECTIVE: The association between cervical cancer (CC) and venous thromboembolism (VTE) has been well documented, but the underlying molecular characteristics remains unclear. The aim of this study was to explore the shared genetic features and regulatory networks of CC and VTE. METHODS: Protein-protein interaction was used to identify differentially expressed genes (DEGs) in GEO datasets. Lasso, XGB, GLM, and RF algorithms were used to select hub genes to build predictive nomogram models to examined their diagnostic performance. And, we assessed the immune infiltration characteristics and predicted the sensitivity to chemotherapy via the GDSC/CTRP database. RESULTS: We identified two hub genes (RSRC1 and EEF1B2). The predictive nomogram model proved discrimination in the training cohort (AUC = 0.964) and kept performance in the external validation. Single-cell RNA sequencing and immune cell infiltration analyses indicated that RSRC1 and EEF1B2 might modulate the immune microenvironment via macrophages, thereby promoting the development of CC and VTE. Drug sensitivity prediction suggested RSRC1 and EEF1B2 might affect the chemosensitivity of some drugs (p < 0.001). CONCLUSION: This study revealed the comorbid features of CC and VTE. These findings offer new insights into the molecular mechanisms of CC and VTE and might provide preliminary recommendations for diagnosis and treatment.