Locally advanced pancreatic adenocarcinoma: update and progress.
ABSTRACT Pancreatic cancer, the 4th leading cause of cancer death in the U.S., remains a challenging disease for the oncology community. Less than 20% of all cases are potentially cured by surgical resection, while the large majority of cases are deemed either unresectable or metastatic upon diagnosis. Advances in treating locally advanced pancreatic cancer have been few and modest. In this year's American Society of Clinical Oncology (ASCO) Gastrointestinal Cancers Symposium, three abstracts (#252, #254, #313) were presented with novel approaches towards treating locally advanced pancreatic cancer. Surgery for recurrent disease, a promising new chemoradiation regimen, and the application of an exciting multi-agent regimen (FOLFIRINOX: oxaliplatin, irinotecan, leucovorin, 5-fluorouracil) in a non-clinical trial setting, highlight the novel approaches focused on the management of this difficult disease.
- SourceAvailable from: José Mir Justino da Costa[Show abstract] [Hide abstract]
ABSTRACT: Cancer is characterized by the uncontrolled growth of cells with the ability of invading local organs and/or tissues and of spreading to other sites. Several kinds of mathematical models have been proposed in the literature, involving different levels of refinement, for the evolution of tumors and their interactions with chemotherapy drugs. In this article, we present the solution of a state estimation problem for tumor size evolution. A system of nonlinear ordinary differential equations is used as the state evolution model, which involves as state variables the numbers of tumor, normal and angiogenic cells, as well as the masses of the chemotherapy and anti-angiogenic drugs in the body. Measurements of the numbers of tumor and normal cells are considered available for the inverse analysis. Parameters appearing in the formulation of the state evolution model are treated as Gaussian random variables and their uncertainties are taken into account in the estimation of the state variables, by using an algorithm based on the auxiliary sampling importance resampling particle filter. Test cases are examined in the article dealing with a chemotherapy protocol for pancreatic cancer.Journal of computational biology: a journal of computational molecular cell biology 05/2015; DOI:10.1089/cmb.2014.0003 · 1.67 Impact Factor
- Journal of Computational Biology 01/2015; · 1.67 Impact Factor
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ABSTRACT: Patients with advanced pancreatic adenocarcinoma have a poor prognosis, and to date, no treatment method has had a significant impact on the disease. In general, the mean overall survival time of such patients receiving conventional chemotherapy and radiotherapy is <6 months. In the present case report, a patient with advanced pancreatic adenocarcinoma experienced a longer progression-free survival (PFS) of >19 months, following cytokine-induced killer (CIK) cell therapy. To the best of our knowledge, no study has previously described such a beneficial effect on patients only receiving CIK cell immunotherapy. Based on these findings, CIK cell therapy may be a potential treatment regimen that is capable of leading to an improved prognosis in certain patients with advanced pancreatic adenocarcinoma.Oncology letters 04/2013; 5(4):1427-1429. DOI:10.3892/ol.2013.1200 · 0.99 Impact Factor