Roadmap to Local Tumour Growth: Insights from Cervical Cancer.

Area of Science:

• Oncology
• Computational Biology
• Pathology

Background:

• Standard surgical treatment for solid cancers, including cervical cancer, assumes isotropic tumor growth.
• This assumption may not accurately reflect the complex local spread patterns observed in clinical practice.

Purpose of the Study:

• To analyze local tumor spreading patterns in cervical cancer patients.
• To identify parameters influencing preferred infiltration patterns.
• To challenge the isotropic growth model in cervical cancer.

Main Methods:

• Review and analysis of local tumor spread in 518 cervical cancer patients.
• Application of computational modeling techniques to simulate tumor spread.
• Use of area-proportional Euler diagrams to detect ordered patterns.

Main Results:

• Cervical cancer infiltration is not isotropic; certain structures like the urinary bladder are more frequently infiltrated than others (e.g., ureter, rectum).
• Computational models assuming isotropic growth failed to explain observed infiltration patterns.
• Incorporating 'ontogenetic distance' accurately predicted infiltration likelihoods, with distant tissues being subsets of closer ones.

Conclusions:

• The assumption of isotropic tumor extension is inadequate for cervical cancer.
• Cervical cancer spread appears to follow trajectories defined by the developmental origin (ontogeny) of tissues.
• This finding has implications for surgical planning and understanding tumor progression.