Preliminary construction and validation of a prognostic prediction model for cervical cancer based on tumor mechanics-related genes

1

Cervical cancer is the fourth most common malignancy in women, with significant mortality rates, highlighting the need for effective prognostic biomarkers.
2

The study identified seven key tumor mechanics-related genes to construct a prognostic model that stratifies cervical cancer patients into high- and low-risk groups.
3

Clinical validation showed a moderate positive correlation between matrix metalloproteinase-1 expression and tumor stiffness in cervical cancer tissues.
4

The prognostic model demonstrated significant discriminative capacity, revealing distinct gene mutation landscapes and immune cell infiltration between risk groups.
5

Tumor stiffness, assessed via strain elastography, emerges as a potential biomarker for cervical cancer progression and clinical evaluation.

1