Cancer Genomics
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Cancer Genomics: Chapter 8. Preclinical Animal Models for Cancer Genomics
By Jason N. Berman, Priscilla P.L. Chiu, Graham DellairePotts MB, Cameron S. Cell lineage and cell death: Caenorhabditis elegans and cancer research. Nat Rev Cancer. 2011;11:50–58. Rudrapatna VA, Cagan RL, Das TK. Drosophila cancer models. Dev Dyn. 2012;241:107–118.
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Cancer Genomics: Chapter 24. Cancer Genomics and Biobanking: Exploring Key Ethical and Legal Issues
By Matthew Herder, Conrad V Fernandez2004;170:1417– 1419. Partridge AH, Wong JS, Knudsen K, et al. Offering participants results of a clinical trial: sharing results of a negative study. Lancet. 2005;365:963– 964. DelanyMoretlwe S, Stadler J, Mayaud P, Rees H. Investing in ...
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Cancer Genomics: Chapter 14. Prostate Cancer Genomics as a Driver of Personalized Medicine
By Robert G. Bristow, Michael Fraser, Alejandro BerlinPenney KL, Sinnott JA, Fall K, et al. mRNA expression signature of Gleason grade predicts lethal prostate cancer. J Clin Oncol. 2011;29:2391–2396. Baca SC, Prandi D, Lawrence MS, et al. Punctuated evolution of prostate cancer genomes.
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Cancer Genomics: Chapter 17. Acute Myeloid Leukemia
By Jason N. Berman, Robert J. Arceci, Soheil MeshinchiErnst T, Chase AJ, Score J, et al. Inactivating mutations of the histone methyltransferase gene EZH2 in myeloid disorders. Nat Genet. 2010;42:722–726. Sievers EL, Loken MR. Detection of minimal residual disease in acute myelogenous ...
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Cancer Genomics: Molecular Classification, Prognosis and Response Prediction
By Ulrich PfefferThrough this book, students, researchers and oncologists will obtain a comprehensive picture of what the first ten years of cancer genomics have revealed.
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Cancer Genomics: From Bench to Personalized Medicine
By Graham Dellaire, Robert J. Arceci, Jason N BermanTools such as sidebars, key concept summaries, a glossary, and acronym and abbreviation definitions make this book highly accessible to researchers from several fields associated with cancer genomics.
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Cancer Genomics: Chapter 9. Bioinformatics for Cancer Genomics
By Katayoon Kasaian, Yvonne Y. Li, Steven J.M. JonesThese improvements have transformed the field of cancer genomics, allowing the complete molecular characterization of individual cancer genomes.
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Cancer Genomics: Chapter 1. Historical Perspective and Current Challenges of Cancer Genomics
By Graham Dellaire, Robert J. ArceciThis chapter represents a brief historical summary of some of the key success stories in our understanding of cancer that has led to our current age of cancer genomics.
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Cancer Genomics: Chapter 13. Breast Cancer Genomics
By Graham Dellaire, Moamen Bydoun, Paola MarcatoIn the light of a rapidly evolving field of breast cancer genomics, this chapter highlights key standard and upcoming approaches for diagnosis, prognosis and treatment and discusses the feasibility of genome-oriented personalized treatments ...
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Cancer Genomics: Chapter 10. Genomic Resource Projects
By Matthew Parker, Erin Hedlund, Jinghui ZhangThe vast amount of genomic data being produced by the research community is becoming readily accessible to biomedical researchers and clinicians to apply to their cancer(s) of interest.
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Cancer Genomics: Chapter 2. Second-Generation Sequencing for Cancer Genome Analysis
By Hye-Jung E. Chun, Jaswinder Khattra, Martin KrzywinskiWe describe past, current and upcoming sequencing technologies and the application of second-generation sequencing technologies in cancer genomics.
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Cancer Genomics: Chapter 26. The Impact of the Environment on Cancer Genomics
By Louise ParkerThe number of people diagnosed with cancer each year will almost double to 21 million cases worldwide by 2030 because of the aging population.
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Cancer Genomics: Chapter 4. The Significance of Transcriptome Sequencing in Personalized Cancer Medicine
By Javed Khan, Shile Zhang, Jun S. WeiThe complexity of the transcriptome has been appreciated in recent years in light of the Encyclopedia of DNA Elements (ENCODE) project.
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Cancer Genomics: Chapter 19. Brain Tumor Genomics: Sequencing to Clinical Utility
By Branavan Manoranjan, Parvez Vora, Chitra VenugopalThe classification of brain tumors has evolved from a morphological and histological basis to one that is now in keeping with the advances of modern technology consisting of novel molecular subgroups rooted in clinical outcome and risk ...
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Cancer Genomics: Chapter 6. Cancer Pharmacogenomics in Children
By Shahrad Rod Rassekh, Colin J.D. RossRecent technological advances in genomics have opened the door to potentially identifying genetic differences between individual children that may explain their different responses to cancer therapies.
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Cancer Genomics: Chapter 25. The Role of MicroRNAs and Ultraconserved Non-Coding RNAs in Cancer
By George A. Calin, Hui LingThe discovery of microRNA (miRNA) involvement in cancer a decade ago, and the more recent findings of long non-coding RNAs in human diseases, challenged the long-standing view that RNAs without protein-coding potential are simply “junk” ...
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Cancer Genomics
By Robert L. StrausbergThis work states that we are no longer satisfied to study a gene or gene product in isolation, but rather we strive to view each gene within the complex circuitry of a cell.
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Cancer Genomics: Chapter 21. Neuroblastoma
By Daniel A. Morgenstern, Meredith S. IrwinNeuroblastoma is one of the most common childhood tumors and has a remarkably diverse pattern of presentation and clinical behavior.
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Cancer Genomics: Chapter 3. Cancer Transcriptome Sequencing and Analysis
By Ryan D. Morin, Stephen B. MontgomeryAs well, such data have revealed novel sequences such as those from pathogens, mutations resulting in amino acid differences and fusion transcripts resulting from translocations and other structural alterations, each of which can inform the ...
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Cancer Genomics: Chapter 7. Biomarker Discovery and Development through Genomics
By Janet E. DanceyIn this chapter, we review these key considerations required to design and conduct biomarker studies that will yield results that can confidently inform future clinical research and clinical practice.