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Titlebook: Inflammation and Cancer; Bharat B. Aggarwal,Bokyung Sung,Subash Chandra Gup Book 2014 The Editor(s) (if applicable) and The Author(s), und

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Anupam Bishayeef applications. Markov chains with stationary transition probabilities have been studied extensively; they are contained in many classical books, for example, Chung [31], Taylor and Karlin [204] among others. However, the homogeneity or stationarity is often violated in applications, and the generat
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Girish B. Maru,Khushboo Gandhi,Asha Ramchandani,Gaurav Kumarnterrelations of stochastic processes and singular perturbations. In recent years, Markovian formulations have been used routinely for nu­ merous real-world systems under uncertainties. Quite often, the underlying Markov chain is subject to rather frequent fluctuations and the correspond­ ing states
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The Role of Inflammation in Lung Cancer,ges is 14–17 % for Non-small-cell lung cancer and 6 % for small-cell lung cancer. Clinical and epidemiologic studies have suggested a strong association among chronic infection, inflammation, and cancer. Immune system plays a critical role in maintaining tissue homeostasis, cell turnover, tissue rem
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The Role of Inflammation in Brain Cancer,etic and epigenetic changes has been observed in gliomas that collectively result in derangements of common cell signaling pathways controlling cell survival, proliferation, and invasion. One important determinant of gene expression is DNA methylation status, and emerging studies have revealed the i
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The Role of Inflammation in Pancreatic Cancer,s of pancreatic cancer development and progression. In genetically engineered mouse models, induction of pancreatitis accelerates PDAC development, and patients with chronic pancreatitis are known to have a higher risk of developing pancreatic cancer. In recent years, much effort has been given to i
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