Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Amy, Brock"'
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Intratumor heterogeneity reduces treatment efficacy and complicates our understanding of tumor progression and there is a pressing need to understand the functions of heterogeneous tumor cell subpopulations within a tumor, yet systems to stu
Externí odkaz:
https://doaj.org/article/85c7e24e22ec4a628cda0b01fa8ec47f
Autor:
Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov
Publikováno v:
Cancer Biology & Therapy, Vol 25, Iss 1 (2024)
ABSTRACTTumor heterogeneity contributes significantly to chemoresistance, a leading cause of treatment failure. To better personalize therapies, it is essential to develop tools capable of identifying and predicting intra- and inter-tumor heterogenei
Externí odkaz:
https://doaj.org/article/0e280a58802b47fcb80eb711f4c69ab3
Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
The development of chemoresistance remains a significant cause of treatment failure in breast cancer. We posit that a mathematical understanding of chemoresistance could assist in developing successful treatment strategies. Towards that end, we have
Externí odkaz:
https://doaj.org/article/895a9e096406469c8ea8d3b6aa3411fc
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 3, p e1009104 (2022)
While acquired chemoresistance is recognized as a key challenge to treating many types of cancer, the dynamics with which drug sensitivity changes after exposure are poorly characterized. Most chemotherapeutic regimens call for repeated dosing at reg
Externí odkaz:
https://doaj.org/article/21f08c90677543208775be49fa3068e3
Autor:
Jianchen Yang, Jack Virostko, David A Hormuth, Junyan Liu, Amy Brock, Jeanne Kowalski, Thomas E Yankeelov
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0240765 (2021)
We present the development and validation of a mathematical model that predicts how glucose dynamics influence metabolism and therefore tumor cell growth. Glucose, the starting material for glycolysis, has a fundamental influence on tumor cell growth
Externí odkaz:
https://doaj.org/article/150d9accb7674f75a65bd44e8bc827b6
Autor:
Anum S. Kazerouni, Manasa Gadde, Andrea Gardner, David A. Hormuth, II, Angela M. Jarrett, Kaitlyn E. Johnson, Ernesto A.B. F. Lima, Guillermo Lorenzo, Caleb Phillips, Amy Brock, Thomas E. Yankeelov
Publikováno v:
iScience, Vol 23, Iss 12, Pp 101807- (2020)
Summary: We provide an overview on the use of biological assays to calibrate and initialize mechanism-based models of cancer phenomena. Although artificial intelligence methods currently dominate the landscape in computational oncology, mathematical
Externí odkaz:
https://doaj.org/article/117782a5120f4037a605eb88706cb82b
Publikováno v:
American Journal of Physiology-Cell Physiology. 324:C247-C262
Physiological processes rely on the control of cell proliferation, and the dysregulation of these processes underlies various pathological conditions, including cancer. Mathematical modeling can provide new insights into the complex regulation of cel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78e791c117c98570b48e6db06c161f37
https://doi.org/10.1152/ajpcell.00185.2022
https://doi.org/10.1152/ajpcell.00185.2022
Autor:
Pamela K Kreeger, Amy Brock, Holly C Gibbs, K Jane Grande-Allen, Alice H Huang, Kristyn S Masters, Padmini Rangamani, Michaela R Reagan, Shannon L Servoss
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008370 (2020)
Externí odkaz:
https://doaj.org/article/7430c75335024835986c211cb8d184c4
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0231137 (2020)
Tumor associated angiogenesis is the development of new blood vessels in response to proteins secreted by tumor cells. These new blood vessels allow tumors to continue to grow beyond what the pre-existing vasculature could support. Here, we construct
Externí odkaz:
https://doaj.org/article/c8c342bbbb3d42b497feba2570ed9bdf
Publikováno v:
Translational Oncology, Vol 11, Iss 3, Pp 732-742 (2018)
Medical oncology is in need of a mathematical modeling toolkit that can leverage clinically-available measurements to optimize treatment selection and schedules for patients. Just as the therapeutic choice has been optimized to match tumor genetics,
Externí odkaz:
https://doaj.org/article/ef2bff32a0954ef8ae8d544972cb0fbe