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Genomic Analysis

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Book cover Molecular Pathology in Cancer Research

Abstract

Cancer is driven by a plethora of molecular genetic events, including germline alterations that increase individual risk of developing cancer, as well as the somatic aberrations that are selected for in tumor development. As our understanding of these factors increases, it is imperative to translate findings rapidly to the clinic using methodology that is economical, yet sensitive and specific to the types of event to be detected. In the past 20 years there have been rapid advances in technology, from karyotyping to array-based and now sequencing-based methods, which have led to vastly increased genomic resolution and sample throughput. Each method has certain advantages and disadvantages relating to cost, speed, sensitivity, type of aberration to be detected, and complexity of analysis. The choice of technique for molecular pathology depends on the disease context and specific application required. Here we review common classes of molecular genetic events occurring in cancer genomes and the most appropriate methods to detect these changes. The impact of molecular features on cancer risk, diagnosis, prognosis, and determining the most appropriate therapy are discussed.

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Acknowledgements

This work was supported by the Australian National Health and Medical Research Council (NHMRC), the Cancer Council Victoria (CCV), and the Emer Casey Research Foundation.

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Correspondence to Kylie L. Gorringe .

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Hunter, S.M., McCart Reed, A.E., Campbell, I.G., Gorringe, K.L. (2016). Genomic Analysis. In: Lakhani, S., Fox, S. (eds) Molecular Pathology in Cancer Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6643-1_5

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