Scientists create mathematical model to better understand breast cancer mechanisms
Patients with breast cancer are often advised to buy Tamoxifen to slow the progression of the disease.
Patients with breast cancer are often advised to buy Tamoxifen to slow the progression of the disease. Millions of women in the U.S. are affected by the condition, and studies are ongoing to help scientists better understand its mechanisms in order to develop potential remedies. Recently, a paper that appeared in the journal Nature Reviews Cancer discussed a mathematical model that could help open doors to new treatments.
The system was created by scientists from the Lombardi Comprehensive Cancer Center at Georgetown University Medical Center, Virginia Tech and Fox Chase Cancer Center. The researcher was funded by a $7.5 federal grant.
Lead investigator Robert Clarke and his team came up with a model that aims to help them understand estrogen signaling in breast cancer cells and why some are more susceptible to endocrine therapy than others.
"A cell is an information-processing system and cancer cells make decisions that promote their growth, so we are striving to understand how these cells make mathematically-based choices on inputs, processing and outputs," Clarke explained.
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