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Precision Medicine in Oncology 1st Edition by Bulent Aydogan, James A Radosevich ISBN 1119432499 9781119432494

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Author(s): Bulent Aydogan, James A. Radosevich
ISBN(s): 9781119432494, 1119432499
Edition: 1
File Details: PDF, 2.86 MB
Year: 2020
Language: english
SKU: EB-30712738 Category: Tags: ,

Precision Medicine in Oncology 1st Edition by Bulent Aydogan, James A. Radosevich – Ebook PDF Instant Download/Delivery: 1119432499, 9781119432494
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ISBN 10: 1119432499 
ISBN 13: 9781119432494
Author: Bulent Aydogan, James A. Radosevich

A FRESH EXAMINATION OF PRECISION MEDICINE’S INCREASINGLY PROMINENT ROLE IN THE FIELD OF ONCOLOGY Precision medicine takes into account each patient’s specific characteristics and requirements to arrive at treatment plans that are optimized towards the best possible outcome. As the field of oncology continues to advance, this tailored approach is becoming more and more prevalent, channelling data on genomics, proteomics, metabolomics and other areas into new and innovative methods of practice. Precision Medicine in Oncology draws together the essential research driving the field forward, providing oncology clinicians and trainees alike with an illuminating overview of the technology and thinking behind the breakthroughs currently being made. Topics covered include: Biologically-guided radiation therapy Informatics for precision medicine Molecular imaging Biomarkers for treatment assessment Big data Nanoplatforms Casting a spotlight on this emerging knowledge base and its impact upon the management of tumors, Precision Medicine in Oncology opens up new possibilities and ways of working – not only for oncologists, but also for molecular biologists, radiologists, medical geneticists, and others.

Precision Medicine in Oncology 1st Table of contents:

1 Genomic Strategies for Personalized Cancer Therapy
1.1 Introduction
1.2 Precision Medicine in Specific Tumors
1.3 Biomarkers for Immunotherapy of Cancer
1.4 Clinical Trial Design in the Era of Precision Oncology
1.5 Ethical, Legal, and Social Issues of Precision Oncology
1.6 Databases, Data Sharing, and Challenges of Precision Oncology
References
2 Blood‐Based Biomarkers for the Diagnosis and Prognosis of Cancer
2.1 Introduction
2.2 Importance of Blood‐Based Biomarkers
2.3 Circulating Proteins as Biomarkers
2.4 Circulating Long Non‐coding RNAs as Biomarkers
2.5 Circulating miRNAs as Biomarkers
2.6 Circulating Autoantibodies as Biomarkers
2.7 Circulating Tumor DNA as Biomarkers
2.8 Metabolites as Biomarkers
2.9 Lipids as Biomarkers
2.10 Exosomes as Biomarkers
2.11 Conclusion
References
3 Application of Circulating Cell‐free DNA for Personalized Cancer Therapy
3.1 Introduction
3.2 Drawbacks and Challenges of Invasive Tumor Tissue in Treatment and Diagnosis of Cancer
3.3 Importance of Noninvasive Biomarkers in Treatment and Diagnosis of Cancer
3.4 Liquid Biopsy: cfDNA and ctDNA
3.5 Practical Approach to Estimate ctDNA in Liquid Biopsy
3.6 Clinical Application of ctDNA Detection in Various Cancers
3.7 Clinical Utility of Methylation in ctDNA in Personalized Oncology
3.8 Conclusion
References
4 Prognostic Implications of EGFR, p53, p16, Cyclin D1, and Bcl‐2 in Head and Neck Squamous Cell Carcinoma (HNSCC)
4.1 Introduction
4.2 Epidermal Growth Factor Receptor (EGFR)
4.3 TP53 Mutations in Head and Neck Cancer
4.4 P16 and Cyclin D1 Mutations in Head and Neck Cancer
4.5 Bcl‐2 Mutations in Head and Neck Cancer
4.6 Conclusion
References
5 Immunotherapy and Cancer
5.1 Introduction
5.2 What Is Cancer Immunotherapy?
5.3 How Does Immunotherapy Work?
5.4 Timing of Immunotherapy
5.5 Combination Immunotherapy
5.6 Side Effects of Immunotherapy
5.7 Types of Cancer Immunotherapy Treatments
5.8 Cancer Vaccines
5.9 Oncolytic Viral Immunotherapy (OVIs)
5.10 Non‐specific Immunotherapies
5.11 Immunotherapy by Cancer Type
5.12 Proven Studies
5.13 Cancer Immunity Pathway
5.14 Recent Developments in Immunotherapy
5.15 Neoantigens for Cancer Immunotherapy
5.16 Discussion
References
6 Predictive and Prognostic Markers for Cancer Medicine
6.1 Introduction
6.2 Historical Development of Cancer Markers
6.3 Characteristics of the Ideal Cancer Markers
6.4 Utilization of Cancer Markers in Most Common Cancers
6.5 Classification and Techniques for Studying of Cancer Markers
6.6 Clinical Validation of Cancer Markers
6.7 Conclusions and Future Perspectives
References
7 Dual Energy Imaging in Precision Radiation Therapy
7.1 Introduction and Overview
7.2 Historical Perspective
7.3 Planar Dual Energy Imaging
7.4 Dual Energy Computed Tomography
7.5 Summary and Future Directions
Acknowledgement
References
8 The Role of Big Data in Personalized Medicine
8.1 Introduction
8.2 The Concept of Big Data and the Specificities of Healthcare
8.3 Sources of Data
8.4 Big Data Analytical Techniques
8.5 Challenges in Big Data Analytics

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Bulent Aydogan,James A Radosevich,Precision Medicine,Oncology