Predictive Biomarkers in Oncology

Applications in Precision Medicine

Herausgeber: Badve, Sunil, Kumar, George (Eds.)

Vorschau
  • The  first single source on this subject to put all this evidence together in a concise and easy to understand manner.
  • Uniquely formatted with sidebars, special interest boxes and illustrations.
  • Provides a collection of ingeniously organized, up-to-date authoritative chapters divided into five sections.
Weitere Vorteile

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eBook 130,89 €
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  • ISBN 978-3-319-95228-4
  • Versehen mit digitalem Wasserzeichen, DRM-frei
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Hardcover 171,19 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-95227-7
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

  “Precision/personalized or stratified medicine” refers to the tailoring of medical treatment or drug administration to the individual characteristics of each patient treatment. It does not literally mean that a pharmaceutical company makes a drug for an individual patient for consumption and treatment but rather means the ability to stratify (or classify) individuals into sub-populations that differ in their responsiveness to a specific drug. A marker that provides information on the likely response to therapy, i.e., either in terms of tumor shrinkage or survival of the patient is termed “predictive biomarker”. Despite their promise in precision medicine and the explosion of knowledge in this area, there is not a single source on this subject that puts all this evidence together in a concise or richly illustrated and easy to understand manner.
  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. Section one provides an overview of biomarkers, introduces the basic terminologies, definitions, technologies, tools and concepts associated with this subject in the form of illustrations/graphics, photographs and concise texts. Several recent biomarker endeavors that have been initiated and funded by the National Cancer Institute, National Institutes of Health, FDA and other International organizations are presented. Section two involves the signaling pathways controlling cell growth and differentiation altered in cancer. This section analyzes how predictive biomarkers are altered (expressed or amplified) across cancer types. Section three explores how predictive biomarkers play a role in patient stratification and tailored treatment in relationship to specific cancers. In addition, it includes discussion on the various precision medicine initiatives that are going on across the globe (e.g. TARGET, NCI-MATCH, BATTLE, SHIVA, etc.). Section four discusses: (a) how pharmaceutical companies validate predictive biomarker assays and accompanying companion diagnostics either internally or externally with partner companies such as central laboratories or clinical research organizations, and (b) how predictive biomarker tests fall under the oversight of US FDA, Centers for Medicare & Medicaid Services (CMS) and state laws. Section five wraps up novel agents and targets that are being used as targets for cancer therapeutics. The biomarkers associated with these protocols will also be presented. Throughout the book, sidebars, special interest boxes and illustrations are used to explain terms that are either newly introduced, uncommon, or specialized.
  Predictive Biomarkers in Oncology will serve as a definitive guide for practicing pathologists, oncologists, basic researchers, and personnel in the pharmaceutical or diagnostic industry interested in learning how “predictive biomarkers” are used in precision cancer therapy.

Über den Autor

Sunil Badve
Indiana University School of Medicine
Indianapolis, IN
USA George Kumar
Targos Inc.
Issaquah, WA
USA

Inhaltsverzeichnis (54 Kapitel)

Inhaltsverzeichnis (54 Kapitel)
  • Introduction to Predictive Biomarkers: Definitions and Characteristics

    Seiten 3-18

    Taylor, Clive R.

  • Introduction to Clinical Trials, Clinical Trial Designs, and Statistical Terminology Used for Predictive Biomarker Research and Validation

    Seiten 19-36

    Ballman, Karla V.

  • Overview of Methods Used in Predictive Biomarker Studies in a Molecular Anatomic Pathology Laboratory

    Seiten 37-44

    Maxwell, Perry (et al.)

  • Significance of Immunohistochemistry and In Situ Hybridization Techniques for Predictive Biomarker Studies

    Seiten 45-62

    Schildhaus, Hans-Ulrich

  • Overview of PCR-Based Technologies and Multiplexed Gene Analysis for Biomarker Studies

    Seiten 63-73

    Gökmen-Polar, Yesim

Dieses Buch kaufen

eBook 130,89 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-95228-4
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 171,19 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-95227-7
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Predictive Biomarkers in Oncology
Buchuntertitel
Applications in Precision Medicine
Herausgeber
  • Sunil Badve
  • George Kumar
Copyright
2019
Verlag
Springer International Publishing
Copyright Inhaber
Springer Nature Switzerland AG
eBook ISBN
978-3-319-95228-4
DOI
10.1007/978-3-319-95228-4
Hardcover ISBN
978-3-319-95227-7
Auflage
1
Seitenzahl
XXI, 642
Anzahl der Bilder
3 schwarz-weiß Abbildungen, 153 Abbildungen in Farbe
Themen