# Exploring the Dynamic Changes of Intercellular Connections in Cervical Cancer: Insights From Transcriptomic Data Combined With Single‐Cell Sequencing

## TL;DR

This study explores how cells in cervical cancer interact, identifies a new way to predict patient outcomes, and finds that COL4A1 is a promising target for treatment.

## Contribution

The study introduces a new prognostic model for cervical cancer and identifies COL4A1 as a novel therapeutic target.

## Key findings

- Cluster 8 of epithelial cells shows lower CNV scores, better prognosis, and interacts with fibroblasts via PTN signaling.
- A cervical cancer-related model (CCM) based on Cluster 8 marker genes effectively distinguishes patient prognosis.
- COL4A1 knockdown inhibits cervical cancer cell proliferation and metastasis in vitro.

## Abstract

As a common gynecological malignancy, cervical cancer has a rising incidence rate and mortality, which has brought huge pressure to global public health. Although immunotherapy has been applied in clinical practice, its therapeutic effect is still far from satisfactory.

InferCNV was used to calculate the CNV score and the ssGSE, which is an algorithm to calculate the abundance of samples. CellChat analysis and pseudotime analysis were used to observe the evolution and interaction relationships between different clusters. Establish a prognostic model for CC patients using univariate, LASSO, and Cox analysis, and evaluate copy number variation and TME in low‐risk groups. Finally, ssGSEA was applied to calculate the relationship between the hallmark gene sets and immune cycle steps and to calculate drug sensitivity in different risk groups using “oncopredict.” A series of experiments including CCK‐8 assay, clone formation, EdU assay, and Transwell assay were performed to detect the role of COL4A1 in CC.

The epithelial cells were divided into nine clusters. Among them, Cluster 8 has a lower CNV score, a lower degree of variation, and a better prognosis. After that, Cluster 8 sends a signal to fibroblasts through the PTN signaling pathway. A cervical cancer–related model (CCM) was constructed based on the marker genes of Cluster 8, and it can effectively distinguish the prognosis. There is a great difference in standardized TMB, immune cell infiltration, and ESTIMATE scores between the groups. Nine drugs were identified which may achieve better therapeutic effects when applied to low‐risk patients. Finally, knockdown of COL4A1 inhibits the proliferation and metastatic ability of CC cells.

Our study revealed different interactions between subgroups in the tumor microenvironment of CC epithelial cells. We established an effective prognostic model. Ultimately, through a series of in vitro function experiments, COL4A1 was recognized as a new potential target for the therapeutic intervention of CC.