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Mathematical Modeling to Address Challenges in Pancreatic Cancer

[ Vol. 20 , Issue. 5 ]

Author(s):

Prashant Dogra, Javier R. Ramírez, María J. Peláez, Zhihui Wang, Vittorio Cristini, Gulshan Parasher and Manmeet Rawat*   Pages 367 - 376 ( 10 )

Abstract:


Pancreatic Ductal Adenocarcinoma (PDAC) is regarded as one of the most lethal cancer types for its challenges associated with early diagnosis and resistance to standard chemotherapeutic agents, thereby leading to a poor five-year survival rate. The complexity of the disease calls for a multidisciplinary approach to better manage the disease and improve the status quo in PDAC diagnosis, prognosis, and treatment. To this end, the application of quantitative tools can help improve the understanding of disease mechanisms, develop biomarkers for early diagnosis, and design patient-specific treatment strategies to improve therapeutic outcomes. However, such approaches have only been minimally applied towards the investigation of PDAC, and we review the current status of mathematical modeling works in this field.

Keywords:

Mathematical modeling, Numerical simulation, Desmoplasia, Pancreatic ductal adenocarcinoma, Cancer, Carcinoembryonic Antigen (CEA).

Affiliation:

Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, TX 77030, Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, TX 77030, Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, TX 77030, Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, TX 77030, Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, TX 77030, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131

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