Breast Cancer: From Bench to Personalized Medicine

Breast Cancer: From Bench to Personalized Medicine

  • Saima Shakil Malik
  • Nosheen Masood
Publisher:Springer NatureISBN 13: 9789811901973ISBN 10: 981190197X

Paperback & Hardcover deals ―

Amazon IndiaGOFlipkart GOSnapdealGOSapnaOnlineGOJain Book AgencyGOBooks WagonGOBook ChorGOCrosswordGODC BooksGO

e-book & Audiobook deals ―

Amazon India GOGoogle Play Books ₹215.2Audible GO

* Price may vary from time to time.

* GO = We're not able to fetch the price (please check manually visiting the website).

Know about the book -

Breast Cancer: From Bench to Personalized Medicine is written by Saima Shakil Malik and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 981190197X (ISBN 10) and 9789811901973 (ISBN 13).

This book provides detailed information on the etiology, pathogenesis, diagnosis, prognosis, and treatment strategies for breast cancer. The first section of the book presents epidemiology, risk factors, histopathological, immunohistochemistry, and molecular subtypes of breast cancer based on the receptor status. It also discusses the association of breast cancer with other hormone-sensitive cancers. The second section of the book covers cover BRCA1 and BRCA2-associated breast carcinogenesis, early-stage progression of breast cancer, and noninvasive biomarkers for the early detection of breast cancer. It also discusses the role of epigenetic modifications and non-coding RNAs in breast cancer metastasis and explores these as the biomarkers and therapeutic targets for breast cancer therapy. Further, it discusses the role of fibrinolytic mechanisms and circulating tumor cells in breast cancer diagnosis, prognosis, and treatment. The book also provides an update on oral poly(ADP-ribose) polymerase (PARP) inhibitors to treat breast cancer. Finally, it offers potential new options for personalized therapies for breast cancer patients, including optimizing drug dosage and identifying genetic changes associated with cancer symptom occurrence and severity.