Computational Methods for Precision Oncology

1. Auflage 2022
ISBN: 978-3-030-91835-4
Verlag: Springer International Publishing

Buch, Englisch, Band 1361, 336 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 939 g

Reihe: Advances in Experimental Medicine and Biology

Precision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.

Zielgruppe

Research

Autoren/Hrsg.

Laganà, Alessandro

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Onkologie, Krebsforschung
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

Part One: Basic Concepts in Precision Oncology.- Chapter 1. Design and Implementation of a precision oncology workflow.- Chapter 2. An overview of cancer genome sequencing.- Chapter 3. Software infrastructures for precision medicine workflows.- Part Two: Current Computational Methods and Tools in Precision Oncology.- Chapter 4. Somatic and germline variant calling from next-generation sequencing data.- Chapter 5. Identification of copy number alterations from next-generation sequencing data.- Chapter 6. Genome-wide discovery of large-scale structural variants from next-generation sequencing data.- Chapter 7. Assessment of microsatellite instability from next-generation sequencing data.- Chapter 8. Computational approaches for the investigation of intra-tumor heterogeneity and clonal evolution from bulk sequencing data.- Chapter 9. Analysis of the transcriptome for precision oncology applications.- Chapter 10. Computational methods for drug repurposing.- Chapter 11. Pathway for analysisfor precision oncology applications.- Chapter 12. Identification of fusion transcripts from RNA-seq.- Chapter 13. Computational resources for the interpretation of variations in cancer.- Chapter 14. Analysis of electronic health records for precision oncology.- Chapter 15. Network approaches for precision oncology.- Chapter 16. Experimental validation of genomic alterations.- Part Three: Advanced Concepts - The Future of Precision Oncology.- Chapter 17. Molecular profiling of liquid biopsies for precision oncology.- Chapter 18. Artificial intelligence for precision oncology.- Chapter 19. Single-cell technologies in precision oncology.- Chapter 20. Computational approaches for precision immuno-oncology.- Chapter 21. Multi-pmics profiling of the tumor microenvironment.- Chapter 22. Epigenetic and precision oncology.- Chapter 23. Next generation knowledge bases to support precision oncology.

Über Autor(innen)

Alessandro Laganà is Assistant Professor of Oncological Sciences at the Icahn School of Medicine at Mount Sinai, NY. Dr. Laganà's main research interests are integrative cancer genomics, cancer network biology and precision oncology. His current research is focused on the treatment of Multiple Myeloma (malignancy of bone marrow plasma cells). He received both his M.Sc. and Ph.D. from the University of Catania in Catania, Italy. He is also the author of the Humana Press title MicroRNA Target Identification: Methods and Protocols (2019).