Community series in novel insights into immunotherapy targeting tumor microenvironment in ovarian cancer, volume I PDF Download

Author: Xiao Liang
Publisher: Frontiers Media SA
ISBN: 2832522467
Category : Medical
Languages : en
Pages : 191

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Author: Huanfa Yi
Publisher: Frontiers Media SA
ISBN: 2832529542
Category : Medical
Languages : en
Pages : 247

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Author: Xiangpeng Dai
Publisher: Frontiers Media SA
ISBN: 2832536778
Category : Medical
Languages : en
Pages : 147

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Author: Bo Zhai
Publisher: Frontiers Media SA
ISBN: 2832549241
Category : Medical
Languages : en
Pages : 261

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Book Description
The cellular signaling network refers to the complex system formed by the interactions between various signaling molecules and receptors within and between cells. It consists of multiple signaling pathways that mediate intricate cellular interactions both internally and externally. The development of cancer is closely associated with the intricate signaling transduction network within cells, where multiple signaling pathways are interconnected and collectively regulate the biological phenotypes of tumor cells.

Author: Samir A. Farghaly
Publisher: Oxford University Press
ISBN: 019024822X
Category : Medical
Languages : en
Pages : 273

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Book Description
Ovarian Cancer Immunotherapy provides a broad overview of several aspects of basic sciences, and clinical and therapeutic aspects of immunotherapy for ovarian cancer, as well as state-of-the-art information on molecular genetics and biology. Chapters are written by a team of expert contributors from around the world and explore topics such as antibody therapeutics for ovarian carcinoma, emerging serum biomarkers, ovarian cancer immunity, adoptive cell immunotherapy, the biology of dendritic cells, the role of growth factors, and more. Readers will also gain a better understanding of the molecular and cellular events that underlie ovarian cancer immunology. This book is an ideal resource for clinicians, basic medical scientists, graduate basic medical science students, and medical students caring for patients with ovarian cancer, including attending surgeons and physicians, and clinical fellows and residents in the disciplines of gynecologic oncology, medical oncology, and surgical oncology.

Author: Omer Devaja
Publisher: BoD – Books on Demand
ISBN: 1789843332
Category : Medical
Languages : en
Pages : 366

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Book Description
Ovarian cancer management is a rapidly changing field with new treatment agents available as a result of a greater understanding of the pathogenesis of this disease. In addition, both surgical and chemotherapeutic treatment strategies are evolving to maximise response in this disease. This book brings together leading specialists from around the world to discuss and outline a variety of new concepts in ovarian cancer, ranging from molecular biology and genetics through screening to both surgical and chemotherapeutic management.

Author: Kamal Dua
Publisher: Elsevier
ISBN: 0323900798
Category : Science
Languages : en
Pages : 574

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Book Description
Advanced Drug Delivery Systems in the Management of Cancer discusses recent developments in nanomedicine and nano-based drug delivery systems used in the treatment of cancers affecting the blood, lungs, brain, and kidneys. The research presented in this book includes international collaborations in the area of novel drug delivery for the treatment of cancer. Cancer therapy remains one of the greatest challenges in modern medicine, as successful treatment requires the elimination of malignant cells that are closely related to normal cells within the body. Advanced drug delivery systems are carriers for a wide range of pharmacotherapies used in many applications, including cancer treatment. The use of such carrier systems in cancer treatment is growing rapidly as they help overcome the limitations associated with conventional drug delivery systems. Some of the conventional limitations that these advanced drug delivery systems help overcome include nonspecific targeting, systemic toxicity, poor oral bioavailability, reduced efficacy, and low therapeutic index. This book begins with a brief introduction to cancer biology. This is followed by an overview of the current landscape in pharmacotherapy for the cancer management. The need for advanced drug delivery systems in oncology and cancer treatment is established, and the systems that can be used for several specific cancers are discussed. Several chapters of the book are devoted to discussing the latest technologies and advances in nanotechnology. These include practical solutions on how to design a more effective nanocarrier for the drugs used in cancer therapeutics. Each chapter is written with the goal of informing readers about the latest advancements in drug delivery system technologies while reinforcing understanding through various detailed tables, figures, and illustrations. Advanced Drug Delivery Systems in the Management of Cancer is a valuable resource for anyone working in the fields of cancer biology and drug delivery, whether in academia, research, or industry. The book will be especially useful for researchers in drug formulation and drug delivery as well as for biological and translational researchers working in the field of cancer. - Presents an overview of the recent perspectives and challenges within the management and diagnosis of cancer - Provides insights into how advanced drug delivery systems can effectively be used in the management of a wide range of cancers - Includes up-to-date information on diagnostic methods and treatment strategies using controlled drug delivery systems

Author: Ping Zheng
Publisher: Frontiers Media SA
ISBN: 2832541232
Category : Medical
Languages : en
Pages : 383

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Book Description

Author: Chad Brenner
Publisher: MDPI
ISBN: 3039217887
Category : Medical
Languages : en
Pages : 418

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Book Description
This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.

Author: Xuelei Ma
Publisher: Frontiers Media SA
ISBN: 283253015X
Category : Medical
Languages : en
Pages : 264

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