A new mathematical model to help predict prostate cancer aggressiveness has been developed by scientists. The multiscale mathematical model suggests stromal ecology be considered during diagnosis.
New multi-scale mathematical model developed by researchers was found to help analyze integrated biologic and pathologic data to determine prostate cancer aggressiveness. The findings of the study were conducted by researchers in the Center of Excellence for Evolutionary Therapy at Moffitt Cancer Center and published in Nature Ecology & Evolution. 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 tumor evolution.
‘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.’
“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 tumor 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 tumors growing in different stromal ecologies. The model predicted larger tumors with highly reactive stroma and smaller tumors in nonreactive stroma. Surprisingly, it also predicted that these tumors evolved differently, with the smaller tumors driven by nonreactive stroma being far more aggressive.
This result was validated in animal models and quantified in patients. Anderson and his team analyzed 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 tumor-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.
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This study was funded by the National Cancer Institute (U01CA151924).
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Source-Newswise