Chapter title |
Methylation profile landscape in mesothelioma: possible implications in early detection, disease progression, and therapeutic options.
|
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Chapter number | 12 |
Book title |
Cancer Epigenetics
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-1804-1_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-1803-4, 978-1-4939-1804-1
|
Authors |
Xinbo Zhang, Naimei Tang, Arun K Rishi, Harvey I Pass, Anil Wali, Arun K. Rishi, Harvey I. Pass, Zhang, Xinbo, Tang, Naimei, Rishi, Arun K., Pass, Harvey I., Wali, Anil |
Abstract |
Malignant Pleural Mesothelioma (MPM) is an aggressive malignancy of the pleura associated with asbestos exposure. Incidence of MPM is expected to increase over the course of next decade in both Europe and the developing countries. Although significant progress has been made in terms of etiology and pathogenesis of this disease, currently available therapeutic options have not significantly improved the survival outcome of patients on standard chemotherapeutic regimens. Integrity of the cellular DNA is often altered in many cancers. Understanding of the molecular mechanisms that regulate cellular DNA alterations to facilitate cancer initiation and development has potential to allow better design of cancer cell inhibitory strategies. In this context, there is a need to explore the gamut of "omics" strategies to provide a comprehensive epigenetics profile for MPM. This chapter discusses the functional genomics and epigenetic patterns observed by various investigators studying MPM patient populations on global fronts, and attempts to present a holistic approach in combating this insidious disease. Here we provide investigators in this field with novel insights and methodologies used in other types of cancers that might have profound impact in the early detection, prognosis and potential therapeutic strategies for MPM. |
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Mendeley readers
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Student > Ph. D. Student | 2 | 22% |
Student > Master | 2 | 22% |
Student > Postgraduate | 1 | 11% |
Student > Bachelor | 1 | 11% |
Unknown | 3 | 33% |
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Agricultural and Biological Sciences | 1 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Unknown | 4 | 44% |