Cancer Epigenetics

Risk Assessment, Diagnosis, Treatment, and Prognosis

  • Mukesh Verma

Part of the Methods in Molecular Biology book series (MIMB, volume 1238)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Background: Epigenetic Mechanism

    1. Front Matter
      Pages 1-1
    2. Rajnee Kanwal, Karishma Gupta, Sanjay Gupta
      Pages 3-25
    3. John S. Satterlee, Andrea Beckel-Mitchener, Kim McAllister, Dena C. Procaccini, Joni L. Rutter, Frederick L. Tyson et al.
      Pages 27-49
    4. Krishna K. Banaudha, Mukesh Verma
      Pages 65-76
  3. Cancer Specific Type Epigenetic Changes

    1. Front Matter
      Pages 77-77
    2. Danielle Queiroz Calcagno, Marília de Arruda Cardoso Smith, Rommel Rodriguez Burbano
      Pages 79-101
    3. Swathi Chinaranagari, Pankaj Sharma, Nathan J. Bowen, Jaideep Chaudhary
      Pages 125-140
    4. Christian Pilarsky, Robert Grützmann
      Pages 173-181
    5. Wolfgang A. Schulz, Evangelia A. Koutsogiannouli, Günter Niegisch, Michèle J. Hoffmann
      Pages 183-215
    6. Tawnya C. McKee, James V. Tricoli
      Pages 217-234
  4. Methods and Technologies Used for Detecting Epigenetic Changes

    1. Front Matter
      Pages 249-249
    2. Monica Tyagi, Shafqat A. Khan, Saikat Bhattacharya, Divya Reddy, Ajit K. Sharma, Bharat Khade et al.
      Pages 251-272
    3. Maria A. Hahn, Arthur X. Li, Xiwei Wu, Gerd P. Pfeifer
      Pages 273-287
    4. Miki Hieda, Nariaki Matsuura, Hiroshi Kimura
      Pages 301-317
  5. Factors that Influence Epigenetic Changes in Cancer

    1. Front Matter
      Pages 319-319
    2. Hon-Yi Lin, Tim Hui-Ming Huang, Michael Wing-Yan Chan
      Pages 321-332
    3. Vidya Vedham, Mukesh Verma
      Pages 333-354
    4. Josena K. Stephen, Maria J. Worsham
      Pages 369-379
    5. Wenji Yan, Mingzhou Guo
      Pages 405-424
    6. Yanyuan Wu, Marianna Sarkissyan, Jaydutt V. Vadgama
      Pages 425-466
  6. Future Directions: Risk Assessment, Diagnosis, Treatment, and Prognosis

    1. Front Matter
      Pages 467-467
    2. Mukesh Verma, Hirendra Nath Banerjee
      Pages 469-485
    3. Aurore Claude-Taupin, Michael Boyer-Guittaut, Régis Delage-Mourroux, Eric Hervouet
      Pages 487-509
    4. Gwyneth Hyman, Vinod Manglik, Jeffrey M. Rousch, Mukesh Verma, David Kinkebiel, Hirendra Nath Banerjee
      Pages 511-521
    5. Anvesha Srivastava, Helle Goldberger, Zainab Afzal, Simeng Suy, Sean P. Collins, Deepak Kumar
      Pages 523-538
    6. Kristin Litzelman, Mukesh Verma
      Pages 549-567
    7. Barry I. Milavetz, Lata Balakrishnan
      Pages 569-596
    8. Alok Mishra, Daniel J. Brat, Mukesh Verma
      Pages 597-605
    9. Austin Y. Shull, Satish K. Noonepalle, Eun-Joon Lee, Jeong-Hyeon Choi, Huidong Shi
      Pages 627-651
    10. Jessica Tang, Fang Fang, Dave F. Miller, Jay M. Pilrose, Daniela Matei, Tim Hui-Ming Huang et al.
      Pages 653-675
    11. Jone Garai, Robert B. Uddo, Maura C. Mohler, Nicole Pelligrino, Richard Scribner, Melinda S. Sothern et al.
      Pages 689-707
    12. Syeda Marriam Bakhtiar, Amjad Ali, Debmalya Barh
      Pages 751-769
    13. Vivek Vaish, Tripti Khare, Mukesh Verma, Sharad Khare
      Pages 771-782
    14. Mingzhou Guo, Wenji Yan
      Pages 783-799
  7. Back Matter
    Pages 801-804

About this book


This volume shares technologies that detect common epigenetic changes which are very important in the early detection, progression, and prognosis of cancer as well as the design of new therapeutic tools against cancer cells.  Beginning with a bit of background on epigenetic mechanisms, Cancer Epigenetics: Risk Assessment, Diagnosis, Treatment, and Prognosis continues with cancer specific type epigenetic change, methods and technologies used for detecting epigenetic changes, factors that influence epigenetic changes in cancer, as well as a final section on future directions in the field. Written for the highly successful Methods in Molecular Biology series, chapters in this volume include the kind of detailed implementation advice that guarantees easily reproducible results.

Comprehensive and practical, Cancer Epigenetics: Risk Assessment, Diagnosis, Treatment, and Prognosis provides the most up-to-date knowledge of epigenetics and its implication in cancer prevention by risk assessment and screening and cancer control by treatment.


Cancer prevention Epigenetic change detection Epigenetic mechanisms Epigenome-wide association studies Risk assessment Toxicoepigenomic studies

Editors and affiliations

  • Mukesh Verma
    • 1
  1. 1.National Institutes of HealthRockvilleUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-1803-4
  • Online ISBN 978-1-4939-1804-1
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site