Researchers develop model to predict prostate cancer aggressiveness

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Prostate cancer is the most common cancer in men.

One in nine men will be diagnosed during their lifetime.

While most men will not die from prostate cancer, there is a small subset of patients whose disease is so aggressive at the time of diagnosis that surgery and radiation are not able to control their cancer.

Researchers in the Center of Excellence for Evolutionary Therapy at Moffitt Cancer Center, USA, want to better understand what is happening in the tumour microenvironment to drive prostate cancer to become aggressive and grow rapidly.

In a new article published in Nature Ecology & Evolution, the research team provides a closer look at a multiscale mathematical model they developed to analyse integrated biologic and pathologic data to determine tumour aggressiveness.

The prostate is made up of epithelial tissue surrounded by supporting stroma.

While prostate cancer begins in the epithelial tissue, the surrounding stroma contributes to cancer growth and progression.

The Moffitt researchers wanted to learn how the stromal ecology, which can be inhibitory, highly reactive or nonreactive, shapes prostate cancer tumour evolution.

“Our previous models show that reactive stroma has a role in prostate cancer progression, but this new model allowed us to look more closely at how the stromal ecology alters tumour evolution, growth and invasiveness,” said Alexander R.A. Anderson, Ph.D., director of the Center of Excellence for Evolutionary Therapy and chair of the Integrated Mathematical Oncology Department at Moffitt. He led the Moffitt team with collaborators from the University of Texas Health Science Center and NorthShore University.

To do this, the researchers developed an eco-evolutionary mathematical model that mimics how prostate cancers grow and simulated tumours growing in different stromal ecologies.

The model predicted larger tumours with highly reactive stroma and smaller tumours in nonreactive stroma.

Surprisingly, it also predicted that these tumours evolved differently, with the smaller tumours driven by nonreactive stroma being far more aggressive.

This result was validated in animal models and quantified in patients.

Anderson and his team analysed pathology data from prostate cancer patients guided by the mathematical model.

They used patients’ Gleason scores, a standard grading for prostate cancer diagnosis, along with reactive stroma grading, a measurement based on the amount of reactive stroma in the prostate, to create a new integrated cancer biomarker capable of more accurately scoring a patient’s prostate cancer.

That integrated cancer biomarker was then cross validated in a large cohort of prostate cancer samples and was able to accurately stratify all Gleason scores.

“Our results demonstrate that traditional metrics like the Gleason score, which are often tumour-cell centric, could be improved with ecological metrics,” said David Basanta, Ph.D., co-author and associate member of Moffitt’s Integrated Mathematical Oncology Department.

The mathematical models and patient samples all agreed and showed that stromal ecology can explain prostate cancer growth dynamics.

Importantly, they also showed that the stroma is a major driver of the aggressiveness of prostate cancer cells.

“This suggests that aggressive, environmentally independent prostate cancer may be a result of poor stromal ecology, supporting the concept that incorporating markers of stromal ecology into prostate cancer scoring could improve a patient’s prognosis,” said Anderson.


Source: H. Lee Moffitt Cancer Center & Research Institute

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The ONA Editor curates oncology news, views and reviews from Australia and around the world for our readers. In aggregated content, original sources will be acknowledged in the article footer.

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