Molecular Diagnostics in Cancer Patients 1st ed. 2019 Edition-Original PDF

Molecular Diagnostics in Cancer Patients 1st ed. 2019 Edition-Original PDF

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By Kamla Kant Shukla (Editor), Praveen Sharma (Editor), Sanjeev Misra (Editor)

Size : 10.26 MB

This book aims to bring together a broad variety of examples of the role of pharmacogenomics in current drug development, uncovering dynamic concentration-dependent drug responses on biological systems to understand pharmacodynamics responses in human cancer where genetic lesions serve as tumor markers and provide a basis for cancer diagnosis.

The book describes methods and protocols applied in molecular diagnostics. It offers pathologists and researchers providing molecular diagnostic services an array of the most recent and readily accessible reference to compare methods and techniques.

Highlights include the molecular diagnosis of genetic aberrations by quantitative polymerase reaction (qPCR), sequence-specific oligonucleotide arrays, next-generation sequencing (NGS), CGH arrays-and methodologies directed at the detection of epigenetic events, high-throughput nucleic acid and protein arrays, direct sequencing and FISH-based methodologies, currently used in the diagnosis of solid tumors. The book also includes an innovative line of treatment in relation to the molecular prognosis, diagnosis and pharmacogenomics in the actual practice of clinical findings at molecular levels. The book covers the applications of numerous genetic testing methodologies; in approximately the chronological order of discovery and high-throughput diagnosis using advanced genomic approaches to identify such genes, in the search for novel drug targets and/or key determinants of drug reactions. It also promotes a wider understanding of molecular diagnostics among physicians, medical students, and scientists in academics, industry and corporate world.

Product details

  • Hardcover: 341 pages
  • Publisher: Springer; 1st ed. 2019 edition (March 16, 2019)
  • Language: English
  • ISBN-10: 9811358761
  • ISBN-13: 978-9811358760