دانلود کتاب پاتوفیزیولوژی سرطان پستان: یک رویکرد بین رشته ای

Breast cancer was the most common cancer in women in 157 countries out of 185 in 2022, caused about 670,000 deaths globally. The “Interdisciplinary Cancer Research” series publishes comprehensive volumes on different cancers. It plans to present the most updated and peer-reviewed interdisciplinary chapters on cancers. This interdisciplinary book series is of special value to researchers and practitioners working on cell biology, immunology, hema- tology, biochemistry, genetics, oncology and related fields. This is the main concept of Cancer Immunology Project (CIP) and Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), which are two active interest groups of the Universal Scientific Education and Research Network (USERN). Certain factors increase the risk of breast cancer; e.g., female gender is the strongest breast cancer risk factor, while approximately 99% of breast cancers occur in women. Increasing age, obesity, harmful use of alcohol, family history of breast cancer, start age of menstrual periods, and tobacco use are some other risk factors for breast cancer. The fifth volume of the book entitled Breast Cancer Pathophysiology: An Interdisciplinary Approach starts with an introduction on breast cancers, which requires interdisciplinary approach. Circulating tumor cells and breast cancer cells extravasation across blood-brain barrier are explained in Chapters 2 and 3, respec- tively. The role of defective estrogen signals, membrane estrogen receptor, dietary n-3 polyunsaturated fatty acids, and soy in breast cancer are presented in Chapters 4, 5, 6, and 7, respectively. Chapter 8 explains the mammographic breast density and utility in breast cancer screening and clinical decision-making, while Chapter 9 presents 3D in vitro models to recapitulate the breast tumor microenvironment. Breast cancer metastasis to bone is explained in Chapter 10. Meanwhile the evidence for preserving fertility and pregnancy are discussed in Chapters 11 and 12. Finally, a multicentric study on computer-aided approach for breast density classification is presented in Chapter 13.