Screening of shared molecular markers between cervical cancer and major depressive disorder and the mechanism of CRAT/CLIC4 regulating EMT in cervical cancer cells

作者：Hua-Hua Zhang, Min Liu, Ya-Ni Chen, Zhang Ming-ru, Jing Zhang, Jing He · 发表于：BMC Cancer · 年份：2026 · DOI：10.1186/s12885-026-16571-5 · 研究领域：Ferroptosis and cancer prognosis、Cancer Cells and Metastasis、Cancer, Stress, Anesthesia, and Immune Response

BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women worldwide. Tumor recurrence, distant metastases, and chemotherapy resistance significantly hinder long-term clinical survival and therapeutic outcomes. Clinical studies indicate a heightened prevalence of depressive symptoms and major depressive disorder (MDD) among CC patients, suggesting the possibility of bidirectional adverse biological interactions between cervical tumor progression and depressive states. However, the shared molecular signatures underlying both cervical carcinoma and depressive disorders have yet to be fully elucidated, highlighting the need for identifying reliable molecular markers for supplementary diagnosis and prognostic stratification of CC. METHODS: Two datasets (GSE98793 for MDD and GSE63514 for CC) were retrieved from the Gene Expression Omnibus (GEO) database to identify shared differentially expressed genes (DEGs). Gene clustering analysis of the overlapping DEGs was conducted utilizing Metascape. Venn analysis facilitated the identification of overlaps between shared DEGs and extracellular vesicle (EV)-related genes. Six machine learning algorithms were employed to pinpoint core comorbid genes and develop a diagnostic model. Functional enrichment, drug sensitivity, and survival analyses were performed to assess gene functions, therapeutic potential, and prognostic relevance. In vitro experiments provided additional validation of the effects of ...