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Predictive Biomarkers in Oncology

Applications in Precision Medicine

  • Sunil Badve
  • George Louis Kumar

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Basic Principles and Methods

    1. Front Matter
      Pages 1-1
    2. Nallasivam Palanisamy
      Pages 75-85
    3. Peter Hamilton, Paul O’Reilly, Peter Bankhead, Esther Abels, Manuel Salto-Tellez
      Pages 87-105
    4. Andrew A. Davis, Massimo Cristofanilli
      Pages 107-117
    5. Prashant Ramesh Tembhare, Sumeet Gujral, H. Krishnamurthy
      Pages 119-129
    6. Mark Abramovitz, Casey Williams, Pradip K. De, Nandini Dey, Scooter Willis, Brandon Young et al.
      Pages 131-147
  3. Major Cell Signaling Pathways

    1. Front Matter
      Pages 165-165
    2. Amanda J. Harvey
      Pages 167-182
    3. Thao N. D. Pham, Debra A. Tonetti
      Pages 199-206
    4. Yesim Gökmen-Polar
      Pages 207-212
    5. Andrei Zlobin, Jeffrey C. Bloodworth, Clodia Osipo
      Pages 213-221
    6. Andrei Zlobin, Jeffrey C. Bloodworth, Andrew T. Baker, Clodia Osipo
      Pages 223-230
    7. Zheng Cai, Payal Grover, Zhiqiang Zhu, Mark I. Greene, Hongtao Zhang
      Pages 231-242
    8. Nicci Owusu-Brackett, Maryam Shariati, Funda Meric-Bernstam
      Pages 263-270
    9. Dinuka M. De Silva, Arpita Roy, Takashi Kato, Donald P. Bottaro
      Pages 271-282
    10. Casey D. Stefanski, Jenifer R. Prosperi
      Pages 289-295
    11. Victor T. G. Lin, Tshering D. Lama-Sherpa, Lalita A. Shevde
      Pages 297-304
    12. Wendy Greenwood, Alejandra Bruna
      Pages 305-310
    13. Na Luo, Justin M. Balko
      Pages 311-319
    14. Harikrishna Nakshatri
      Pages 321-325
    15. Mahesh Yadav, Marcin Kowanetz, Hartmut Koeppen
      Pages 327-334
    16. Hartmut Koeppen, Mark L. McCleland, Marcin Kowanetz
      Pages 335-344
    17. Elie Kostantin, Yevgen Zolotarov, Michel L. Tremblay
      Pages 345-351
  4. Predictive Biomarkers in Specific Organs

    1. Front Matter
      Pages 353-353
    2. Raju K. Pillai, Bharat N. Nathwani, Lixin Yang
      Pages 363-374
    3. Nicholas Shawn Whipple, Amar Gajjar
      Pages 375-382
    4. Reinhard Buettner
      Pages 403-409
    5. Susan D. Richman, Bharat Jasani
      Pages 423-430
    6. Louise De Brot, Fernando Augusto Soares
      Pages 445-456
    7. Felipe D’Almeida Costa, Fernando Augusto Soares
      Pages 457-462
    8. Aaron Phelan, Simon J. P. Warren
      Pages 463-474
    9. Hans-Ulrich Schildhaus, Sebastian Bauer
      Pages 475-492
    10. Kate Lathrop, Virginia Kaklamani
      Pages 501-511

About this book

Introduction

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.

Keywords

Kaplan Meier RECIST Immunohistochemistry Liquid biopsy Databases of Biomarkers biomarker assessment

Editors and affiliations

  • Sunil Badve
    • 1
  • George Louis Kumar
    • 2
  1. 1.Department of Pathology and Lab MedicineIndiana University School of MedicineIndianapolisUSA
  2. 2.Targos Inc.IssaquahUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-95228-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Medicine
  • Print ISBN 978-3-319-95227-7
  • Online ISBN 978-3-319-95228-4
  • Buy this book on publisher's site
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