Objective:

To identify tumor mechanics-related genes (TMRGs) and establish a prognostic model to investigate the association of tumor stiffness with pivotal genes in cervical cancer (CC), highlighting the importance of TMRGs in improving patient outcomes.

Key Findings:

• A prognostic model was constructed using seven key genes: MMP1, DES, ARSJ, NT5E, P4HA3, CLMP, and SMARCA1, which are critical for understanding tumor behavior.
• The model effectively stratified individuals into high- and low-risk subgroups, revealing distinct gene mutation landscapes and immune cell infiltration patterns that may influence treatment responses.
• A moderate positive correlation was found between MMP1 IHC scores and SR values (r=0.418, P=0.012), suggesting a potential biomarker relationship.
• Individuals with high MMP1 expression exhibited significantly elevated SR values (P<0.05), indicating a link between MMP1 and tumor stiffness.

Interpretation:

The TMRG-based prognostic model demonstrated significant ability to differentiate risk levels in cervical cancer patients, and clinical validation revealed a preliminary association between tumor stiffness and MMP1 expression, suggesting avenues for improved patient management.

Limitations:

Conclusion:

The study provides a new perspective for risk stratification and clinical evaluation in cervical cancer, potentially guiding therapeutic decisions and improving patient outcomes.