Mapping cellular interactions and communication landscapes in cervical cancer via single-cell transcriptomics

Area of Science:

• Oncology
• Genomics
• Immunology

Background:

• Cervical cancer is a major global gynecological malignancy.
• Tumor microenvironment complexity impacts cancer progression and metastasis.
• Understanding cellular interactions is crucial for effective treatment strategies.

Purpose of the Study:

• To elucidate cellular diversity and intercellular signaling in cervical cancer.
• To identify key molecular pathways and regulatory elements within the tumor microenvironment.
• To validate scRNA-seq findings with molecular and protein-level analyses.

Main Methods:

• Re-analysis of single-cell RNA sequencing (scRNA-seq) data (GSE236738).
• Application of dimensionality reduction (UMAP, t-SNE), communication mapping, and pathway analysis.
• Validation using quantitative real-time PCR (qPCR) and enzyme-linked immunosorbent assay (ELISA) on patient tissues.

Main Results:

• Identified ten distinct cell populations, including immune and epithelial cells, highlighting heterogeneity.
• Stromal and epithelial cells are key in intercellular communication; MIF pathway active in cancer-associated fibroblasts.
• ISG15 and TNFRSF18 were upregulated, while SDF4 was downregulated in tumor tissues, confirmed at protein level.

Conclusions:

• Comprehensive characterization of cellular diversity and molecular features in the cervical cancer microenvironment.
• Identification of specific cellular players and molecular pathways involved in cervical cancer progression.
• Provides a foundation for targeted therapeutic strategies against cervical cancer.