This volume explores the myriad of techniques and methodological approaches that are being used in breast cancer research. The authors critically evaluate of the advantages and disadvantages of current methodologies, starting with the tools available for understanding the architecture of the human breast, including its tissue and cellular composition. The volume discusses the importance of functional studies in breast cancer research, especially with the help of laser capture microdissection, which allows the separation of small amounts of tissue, as well as specific cells, for biochemical analysis. In addition, the authors address methodologies including stem cell separation, which has helped in significantly understanding their role in normal breast development, but also further the understanding of breast cancer and its therapeutic management. The use of in vitro techniques and established cell lines for mechanistic studies in chemotherapeutic approaches have been invaluable will be discussed. Imaging techniques for evaluating in vitro and in vivo behavior of normal and cancerous breast tissue will be explored, as it provides a better understanding of the physiopathology of cancer. The volume will also discuss the molecular analysis of gene function in breast cancer through the transcriptomic and epigenomic profile. More importantly, the advancement of more refined techniques in sequencing will be covered. This monograph will be a comprehensive, authoritative and timely, as it addresses the emerging approaches used in breast cancer research.

This book will provide the latest advances in molecular and cellular biology for establishing the foundation of a complete understanding of the mechanisms of breast differentiation leading to cancer prevention. The authors are based on the epidemiological evidence indicating that early first full term pregnancy is a protective factor in human against breast cancer and they have used this paradigm and developed experimental systems in both in vivo and in vitro that have demonstrated mechanistically how the differentiation at the organ and cellular level takes place. This knowledge has provided the blueprint for developing better understanding of the basis of cancer prevention. The transcriptoma analysis of the breast of pre and post-menopausal women has established a genomic signature imprinted in the breast that differs according to the reproductive history of the woman showing that early first full term pregnancy reprogram the organ. This reprogramming takes place at the chromatin level by changing the transcriptional process. The modification of the transcriptional control is due to the expression of non coding RNA sequences and posttranscriptional control driven by the splicesome. The plasticity of the genome of the human breast make possible this reprogramming that is not only induced by the physiological process of pregnancy but by the use of hormones that mimic pregnancy without pregnancy. The author have established the basis of clinical trials for prevention and the discovery that short 15aa peptides of the chorionic gonadotropin hormone can be used in human breast cancer prevention based on preclinical and clinical data.

This volume explores the myriad of techniques and methodological approaches that are being used in breast cancer research. The authors critically evaluate of the advantages and disadvantages of current methodologies, starting with the tools available for understanding the architecture of the human breast, including its tissue and cellular composition. The volume discusses the importance of functional studies in breast cancer research, especially with the help of laser capture microdissection, which allows the separation of small amounts of tissue, as well as specific cells, for biochemical analysis. In addition, the authors address methodologies including stem cell separation, which has helped in significantly understanding their role in normal breast development, but also further the understanding of breast cancer and its therapeutic management. The use of in vitro techniques and established cell lines for mechanistic studies in chemotherapeutic approaches have been invaluable will be discussed. Imaging techniques for evaluating in vitro and in vivo behavior of normal and cancerous breast tissue will be explored, as it provides a better understanding of the physiopathology of cancer. The volume will also discuss the molecular analysis of gene function in breast cancer through the transcriptomic and epigenomic profile. More importantly, the advancement of more refined techniques in sequencing will be covered. This monograph will be a comprehensive, authoritative and timely, as it addresses the emerging approaches used in breast cancer research.

The book will provide an exhaustive and clear explanation of how Statistics, Mathematics and Informatics have been used in cancer research, and seeks to help cancer researchers in achieving their objectives. To do so, state-of-the-art Biostatistics, Biomathematics and Bioinformatics methods will be described and discussed in detail through illustrative and capital examples taken from cancer research work already published. The book will provide a guide for cancer researchers in using Statistics, Mathematics and Informatics, clarifying the contribution of these logical sciences to the study of cancer, thoroughly explaining their procedures and methods, and providing criteria to their appropriate use.

This book will provide the latest advances in molecular and cellular biology for establishing the foundation of a complete understanding of the mechanisms of breast differentiation leading to cancer prevention. The authors are based on the epidemiological evidence indicating that early first full term pregnancy is a protective factor in human against breast cancer and they have used this paradigm and developed experimental systems in both in vivo and in vitro that have demonstrated mechanistically how the differentiation at the organ and cellular level takes place. This knowledge has provided the blueprint for developing better understanding of the basis of cancer prevention. The transcriptoma analysis of the breast of pre and post-menopausal women has established a genomic signature imprinted in the breast that differs according to the reproductive history of the woman showing that early first full term pregnancy reprogram the organ. This reprogramming takes place at the chromatin level by changing the transcriptional process. The modification of the transcriptional control is due to the expression of non coding RNA sequences and posttranscriptional control driven by the splicesome. The plasticity of the genome of the human breast make possible this reprogramming that is not only induced by the physiological process of pregnancy but by the use of hormones that mimic pregnancy without pregnancy. The author have established the basis of clinical trials for prevention and the discovery that short 15aa peptides of the chorionic gonadotropin hormone can be used in human breast cancer prevention based on preclinical and clinical data.

The book will provide an exhaustive and clear explanation of how Statistics, Mathematics and Informatics have been used in cancer research, and seeks to help cancer researchers in achieving their objectives. To do so, state-of-the-art Biostatistics, Biomathematics and Bioinformatics methods will be described and discussed in detail through illustrative and capital examples taken from cancer research work already published. The book will provide a guide for cancer researchers in using Statistics, Mathematics and Informatics, clarifying the contribution of these logical sciences to the study of cancer, thoroughly explaining their procedures and methods, and providing criteria to their appropriate use.