Role of the Transcriptome in Breast Cancer Prevention

Role of the Transcriptome in Breast Cancer Prevention PDF Author: Jose Russo
Publisher: Springer Science & Business Media
ISBN: 1461448840
Category : Medical
Languages : en
Pages : 461

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Book Description
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.

Lnc-EPCAM AND Lnc-BHLHE41 AS RNA REGULATORS OF BREAST CANCER AND BREAST CANCER PREVENTION

Lnc-EPCAM AND Lnc-BHLHE41 AS RNA REGULATORS OF BREAST CANCER AND BREAST CANCER PREVENTION PDF Author: Maria Barton
Publisher:
ISBN:
Category :
Languages : en
Pages : 204

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Book Description
The objective of this study was to unveil a novel area of gene regulation in breast cancer and breast cancer prevention through the study of a recent discovered class of genetic regulators named long non-coding RNAs (lncRNAs). LncRNAs are RNA molecules longer than 200 nucleotides that are not translated into proteins, but regulate the transcription of genes involved in different cellular processes, including differentiation, cancer initiation and progression. The link between lncRNAs and cancer is well documented in the literature. More recently, their relevance in the transcription field is beginning to be explored and their roles have been found to vary from guiding proteins to the genome to scaffolding proteins complexes needed for the transcription of a specific gene. Initial transcriptome analysis of normal breast of parous and nulliparous postmenopausal women revealed that several lncRNAs are differentially expressed in the parous breast. This observation provided evidence of a potential role of lncRNAs in the regulation of transcription and their function in pregnancy's preventive effect in reducing the lifetime risk of developing breast cancer. Specifically, RNA sequencing of healthy postmenopausal breast tissue biopsies from eight parous and eight nulliparous women using Illumina platform was performed. The sequencing results showed that there are 42 lncRNAs differentially expressed between parous and nulliparous breast tissue. These data led to the hypothesis that these novel lncRNAs may be drivers in the process of development that occurs in the mammary gland during pregnancy, providing protection against breast cancer. After analysis of these 42 lncRNAs using bioinformatics tools, review of the scientific literature, and real-time PCR analysis, two lncRNAs (lncBHLHE41 and lncEPCAM) were selected to be tested in vitro, using different molecular techniques in human epithelial breast cell lines to determine their relevance in breast cancer. This project provided novel information on lncRNAs induced by pregnancy in the breast tissue, and identified two lncRNAs as potential key regulators in breast differentiation and cancer progression. The manipulation of these lncRNAs led to evidence of their function in vitro and, using xenograft studies, we determined their relevance in vivo. Although treatment for cancer using lncRNAs as targets is in its infancy at the clinic, the advancement in knowledge and technology to study their relevance in disease could lead to the development of therapeutics for breast cancer and breast cancer prevention in the near future.

Perspectives in Primary Prevention Research for Breast Cancer: A Focus on Gene—Environment Interactions

Perspectives in Primary Prevention Research for Breast Cancer: A Focus on Gene—Environment Interactions PDF Author: Sophie A. Lelièvre
Publisher: Frontiers Media SA
ISBN: 2889666980
Category : Science
Languages : en
Pages : 156

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Book Description


Memoirs Of A Cancer Researcher

Memoirs Of A Cancer Researcher PDF Author: Russo Jose
Publisher: World Scientific
ISBN: 9813271213
Category : Medical
Languages : en
Pages : 688

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Book Description
This narrative of a cancer researcher spans a period in which biomedicine research has been so revolutionary. The educational background and socioeconomic circumstances of the author make the story unique, shedding light on many important intellectual achievements. The author also provides an insightful view on how decisions at the upper echelon of scientific institutions affect cancer researchers. The vivid account of scientific discovery and intellectual evolution provides a fine example for the next generation of cancer researchers.

Epigenetics of Cancer Prevention

Epigenetics of Cancer Prevention PDF Author: Anupam Bishayee
Publisher: Academic Press
ISBN: 9780128124949
Category : Medical
Languages : en
Pages : 0

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Book Description
Epigenetics of Cancer Prevention, Volume Ten is the first to look at epigenetics and chemoprevention together. Although there is numerous scientific data available on how epigenetics can lead to cancer and how chemoprevention can be beneficial in the treatment of, or improvement of quality of life, together they will set an advanced understanding for the reader in this upcoming field of chemoprevention influencing epigenetics. This book discusses molecular epigenetic targets of natural products, such as green tea polyphenols, curcumin and resveratrol, and organ specific epigenetic targets related to diverse types of cancer, for example prostate, colorectal, breast, lung and skin cancers. Additionally, it encompasses a discussion on research methods and limitations to study epigenetics and epigenomics of chemopreventive drugs and personalized cancer treatment with phytochemicals. The book is ideal for cancer researchers, health care professionals and all individuals who are interested in cancer prevention research and its clinical applications, especially in natural remedies.

Evolution of Translational Omics

Evolution of Translational Omics PDF Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309224187
Category : Science
Languages : en
Pages : 354

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Book Description
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

The Future of Prevention and Treatment of Breast Cancer

The Future of Prevention and Treatment of Breast Cancer PDF Author: Jose Russo
Publisher: Springer Nature
ISBN: 3030728153
Category : Medical
Languages : en
Pages : 195

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Book Description
The objective of this book is to provide a critical analysis of the present prevention strategies for breast cancer, emphasizing the cost benefits and quality of life of the patient. Rooted in the present knowledge of breast cancer biology and prevention and treatment options, the book will describe the future tools that could be available to oncologists and how these new approaches may change the landscape of recurrence and survival of the disease. Special emphasis will be given to the prevention strategies counterposing the present limitations and conflicting prevention guidelines for both hereditary and preventive non-hereditary breast cancer, and propose how the implementation of new strategies based on the present knowledge could save millions of lives and be more cost efficient. The book will present a critical status of the treatment and prevention of breast cancer and detail how a quantum leap could be achieved in the field by applying present basic research knowledge to clinical application.

Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis PDF Author: Utku Kose
Publisher: Springer Nature
ISBN: 9811563217
Category : Technology & Engineering
Languages : en
Pages : 311

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Book Description
This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

Precision Cancer Medicine

Precision Cancer Medicine PDF Author: Sameek Roychowdhury
Publisher: Springer Nature
ISBN: 3030236374
Category : Medical
Languages : en
Pages : 196

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Book Description
Genomic sequencing technologies have augmented the classification of cancer beyond tissue of origin and towards a molecular taxonomy of cancer. This has created opportunities to guide treatment decisions for individual patients with cancer based on their cancer’s unique molecular characteristics, also known as precision cancer medicine. The purpose of this text will be to describe the contribution and need for multiple disciplines working together to deliver precision cancer medicine. This entails a multi-disciplinary approach across fields including molecular pathology, computational biology, clinical oncology, cancer biology, drug development, genetics, immunology, and bioethics. Thus, we have outlined a current text on each of these fields as they work together to overcome various challenges and create opportunities to deliver precision cancer medicine. As trainees and junior faculty enter their respective fields, this text will provide a framework for understanding the role and responsibility for each specialist to contribute to this team science approach.

The Role of Steroid Hormones and Growth Factors in Cancer

The Role of Steroid Hormones and Growth Factors in Cancer PDF Author: Marzia Di Donato
Publisher: Frontiers Media SA
ISBN: 2889768066
Category : Science
Languages : en
Pages : 330

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Book Description