2015
DOI: 10.3390/pr3020235
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A Quantitative Systems Pharmacology Perspective on Cancer Immunology

Abstract: Abstract:The return on investment within the pharmaceutical industry has exhibited an exponential decline over the last several decades. Contemporary analysis suggests that the rate-limiting step associated with the drug discovery and development process is our limited understanding of the disease pathophysiology in humans that is targeted by a drug. Similar to other industries, mechanistic modeling and simulation has been proposed as an enabling quantitative tool to help address this problem. Moreover, immuno… Show more

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Cited by 10 publications
(11 citation statements)
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References 87 publications
(89 reference statements)
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“…Tumors were measured approximately every 7 to 10 d by using an electronic digital caliper (W80152, Performance Tool, Wilmar, Renton, WA), and tumor volumes were calculated by using the formula π/6 × length × width × height. Tumors were allowed to grow to approximately 500 to 1000 mm 3 or until they began to ulcerate.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Tumors were measured approximately every 7 to 10 d by using an electronic digital caliper (W80152, Performance Tool, Wilmar, Renton, WA), and tumor volumes were calculated by using the formula π/6 × length × width × height. Tumors were allowed to grow to approximately 500 to 1000 mm 3 or until they began to ulcerate.…”
Section: Methodsmentioning
confidence: 99%
“…The lack of appropriate models for thorough preclinical testing of treatment strategies is often blamed for these failures. 3 The metastatic behavior of melanoma is a specific challenge in murine tumor modeling. Typically, an experimental metastasis model involves direct injection of neoplastic cells into the bloodstream, most commonly into the tail vein of mice.…”
mentioning
confidence: 99%
“…QSP modeling has previously been applied in a number of therapeutic areas, including cardiovascular, 11,12 respiratory, 13 and neurological 14 diseases, as well as diabetes 15 and cancer. 16 However, QSP modeling largely remains a new frontier for the lysosomal storage diseases. Although prior modeling studies have assessed the evolution of storage diseases based on residual enzyme activity levels 17 and the dynamics of pathways related to ASMD, such as sphingolipid metabolism, [18][19][20] these models have focused on behavior at the molecular level.…”
Section: What Does This Study Add To Our Knowledge?mentioning
confidence: 99%
“…QSP modeling has previously been applied in a number of therapeutic areas, including cardiovascular, respiratory, and neurological diseases, as well as diabetes and cancer . However, QSP modeling largely remains a new frontier for the lysosomal storage diseases.…”
mentioning
confidence: 99%
“…While most of our understanding of how information is transmitted between cells is based on normal biology, cancer cells arise through a process of mutation and selection 15,16 .…”
Section: Introductionmentioning
confidence: 99%