rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Predictive Biomarkers in Oncology
    sub title: Applications in Precision Medicine
  name:
    name part: Badve, Sunil.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Kumar, George Louis.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXI, 642 p. 156 illus., 153 illus. in color. online resource.
  abstract: This book provides a collection of ingeniously organized, well-illustrated, and up-to-date authoritative chapters divided into five sections that are clear and easy to understand. Early sections provide a concise and richly illustrated overview of biomarkers by introducing basic terminologies and analyzing how predictive biomarkers are altered, expressed, or amplified across cancer types. Later sections explore how these biomarkers play a role in patient stratification and treatment, ultimately leading up to detailed descriptions of precision medicine clinical trials across the world. Predictive Biomarkers in Oncology: Applications in Precision Medicine serves as a definitive guide for practicing pathologists, pathology residents, and personal in the pharmaceutical or diagnostic industry interested in learning on how "predictive biomarkers" are used in precision cancer therapy.
  table of contents: Introduction to Predictive Biomarkers: definitions and characteristics -- Introduction to clinical trials, clinical trial designs and statistical terminology used for predictive biomarker research and validation -- Overview of Methods Used in Predictive Biomarker Studies in a Molecular Anatomic Pathology Laboratory -- Significance of Immunohistochemistry and In Situ Hybridization Techniques for Predictive Biomarker Studies -- Overview of PCR-based Technologies and Multiplexed Gene Analysis for Biomarker Studies -- Introduction to Microarray Technology -- Digital and Computational Pathology for Biomarker Discovery -- Detection of Predictive Biomarkers Using Liquid Biopsies -- Measurement of Predictive Cancer Biomarkers by Flow Cytometry -- Personalized Cancer Treatment and Patient Stratification Using Massive Parallel Sequencing (MPS) and Other OMICs Data -- Bioinformatic Methods and Resources for Biomarker Discovery, Validation, Development, and Integration -- Overview of Cell Signaling Pathways in Cancer -- Steroid Hormone and Nuclear Receptor signaling pathways -- Protein kinase C Signaling in Carcinogenesis -- Roles of Rho/ROCK in Cancer Signaling -- Mitogen Activated Protein Kinase (MAPK) Signaling -- Notch Signaling Pathway in Carcinogenesis -- Signaling of the ErbB receptor Family in Carcinogenesis and the Development of Targeted Therapies -- Signaling Pathways in Tumor Angiogenesis and Anti-angiogenic Therapies in Human Cancer -- Role of PI3K/AKT/mTOR in Cancer Signaling -- Met Signaling in Carcinogenesis -- Role of Insulin-like Growth Factor Receptors in Cancer Signaling -- Role of Wnt/β-catenin Pathway in Cancer Signaling -- Hedgehog Signaling in Carcinogenesis -- TGF-β and the SMAD Signaling Pathway in Carcinogenesis -- Role of JAK-STAT Pathway in Cancer Signaling -- NF-kB signaling pathways in Carcinogenesis -- Immune-Signaling in Carcinogenesis -- Predictive Biomarkers and Targeted Therapies in Immuno-Oncology -- Role of Protein Tyrosine Phosphatases in …
  note: edited by Sunil Badve, George Louis Kumar.
  subject:
    topic: Pathology
  subject:
    topic: Oncology
  subject:
    topic: Pathology
  subject:
    topic: Oncology
  classification: RB1-214
  classification: 616.07
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319952284
  identifier: https://doi.org/10.1007/978-3-319-95228-4
  record info:
    record creation date: 181206
    record change date: 20190619194134.0
    record identifier: 978-3-319-95228-4