Bioinformatics Tools (and Web Server) for Cancer Biomarker Development PDF Download
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Author: Xiangqian Guo
Publisher: Frontiers Media SA
ISBN: 2889662616
Category : Science
Languages : en
Pages : 197
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Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author: Xiangqian Guo
Publisher: Frontiers Media SA
ISBN: 2889662616
Category : Science
Languages : en
Pages : 197
Get Book Here
Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author: Xiangqian Guo
Publisher: Frontiers Media SA
ISBN: 2889763838
Category : Science
Languages : en
Pages : 297
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Book Description
Author: Khalid Raza
Publisher: Springer Nature
ISBN: 9811692211
Category : Technology & Engineering
Languages : en
Pages : 474
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Book Description
This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
Author: John E. Niederhuber
Publisher: Elsevier Health Sciences
ISBN: 0323877648
Category : Medical
Languages : en
Pages : 419
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Book Description
Offering focused, practical, and up-to-date content on immunotherapies used to treat a wide variety of cancer types, Clinical Immuno-Oncology covers the basic cellular and molecular mechanisms involved in cancer initiation and progression. The text reviews the development of tumor specific antigens and the challenges of developing cancer immunotherapies. Every effort is made to relate the fundamental aspects of host immunity to the efficacy of current immunotherapies and how they work in conjunction with the immune system to combat cancer. This foundational resource explains the basics of cancer immunotherapy, discusses best practices, and provides recommendations from experienced clinicians in the field. Dr. John E. Niederhuber and a team of expert contributing authors provide clinically focused information essential for integrating these new therapies into practice—making this an ideal resource for fellows, practitioners, and other cancer team members in medical oncology, radiation oncology, cancer surgery, immunology, and cancer research. - Offers balanced and synthesized content on clinical science, clinical and translational research, and evidence-based practice for cutting-edge immunotherapies. - Discusses clinical applications of immunotherapies in common types of cancer including melanoma, breast cancer, pancreatic cancer, colon and rectum cancer, prostate cancer, leukemias, and hematologic malignancies. - Includes dedicated chapters on immune responses, innate immunity, active immunization against cancer, and cell-based therapies by leading experts. - Covers key topics such as cancer immunotherapy in the presence of COVID-19, immunotherapeutics, new findings concerning the role of the microbiome in immunotherapy, advances in engineered cell-based therapies, and active immunization against cancer.
Author: Ehsan Nazemalhosseini-Mojarad
Publisher: Frontiers Media SA
ISBN: 2832530389
Category : Science
Languages : en
Pages : 433
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Book Description
Cancer is a complex and heterogeneous disease often caused by different alterations. The development of human cancer is due to the accumulation of genetic and epigenetic modifications that could affect the structure and function of the genome. High-throughput methods (e.g., microarray and next-generation sequencing) can investigate a tumor at multiple levels: i) DNA with genome-wide association studies (GWAS), ii) epigenetic modifications such as DNA methylation, histone changes and microRNAs (miRNAs) iii) mRNA. The availability of public datasets from different multi-omics data has been growing rapidly and could facilitate better knowledge of the biological processes of cancer. Computational approaches are essential for the analysis of big data and the identification of potential biomarkers for early and differential diagnosis, and prognosis.
Author: Khalid El Bairi
Publisher: Springer Nature
ISBN: 9811618739
Category : Medical
Languages : en
Pages : 236
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Book Description
This book comprehensively summarizes the biology, etiology, and pathology of ovarian cancer and explores the role of deep molecular and cellular profiling in the advancement of precision medicine. The initial chapter discusses our current understanding of the origin, development, progression and tumorigenesis of ovarian cancer. In turn, the book highlights the development of resistance, disease occurrence, and poor prognosis that are the hallmarks of ovarian cancer. The book then reviews the role of deep molecular and cellular profiling to overcome challenges that are associated with the treatment of ovarian cancer. It explores the use of genome-wide association analysis to identify genetic variants for the evaluation of ovarian carcinoma risk and prognostic prediction. Lastly, it highlights various diagnostic and prognostic ovarian cancer biomarkers for the development of molecular-targeted therapy.
Author: Bairong Shen
Publisher: Springer Science & Business Media
ISBN: 9400779755
Category : Science
Languages : en
Pages : 219
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Book Description
The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.
Author: Rossen Donev
Publisher: Academic Press
ISBN: 0323992285
Category : Science
Languages : en
Pages : 494
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Book Description
Immunotherapeutics, Volume 129 in the Advances in Protein Chemistry and Structural Biology series highlights new advances in the field, with this new volume presenting interesting chapters on a variety of topics, including Vaccines for the prophylaxis and treatment of HPV, Lung-targeted RNA-based therapeutics, Clostridium difficile: Current overview and future perspectives, Antivenoms for treatment of snake bites, Natural killer cell-based strategies for immunotherapy of cancer, Immunological insights of selectins in human disease mechanism, Current update, challenges, and future aspects of immunotherapeutics in non-small cell lung cancer, In silico interaction analysis of NEMO binding domain peptide on the NFkB protein, and much more. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Protein Chemistry and Structural Biology series - Updated release includes the latest information on Immunotherapeutics
Author: Aleix Prat
Publisher: Frontiers Media SA
ISBN: 2889637964
Category :
Languages : en
Pages : 187
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Book Description
Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient’s outcomes.
Author: Yunfei Xu
Publisher: Frontiers Media SA
ISBN: 2832538908
Category : Medical
Languages : en
Pages : 349
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Book Description
Hepatic-biliary-pancreatic cancers, mainly including hepatocellular carcinoma, cholangiocarcinoma, gallbladder cancer, are highly aggressive malignancies with few treatment options and poor prognoses. Effects of the traditional systemic treatments such as chemotherapy and radiotherapy, are quite limited to hepatic-biliary-pancreatic cancers. For the patients who suffer from hepatic-biliary-pancreatic cancer and lose the opportunity of radical surgery, few targeted drugs are available. Even for the drugs in clinical trial, potential drug targets and prognostic biomarkers for hepatic-biliary-pancreatic cancer are less studied compared to other common cancers such as lung cancer. Prognostic biomarker study is the initiation to explore new drug targets and revelation of the underlying mechanisms of tumor progression. Immunotherapy, especially PD1 or PD-L1 antagonists, has exhibited potent treatment effects on cancers. To date, many PD1 drugs are available for cancer treatment, and more than one hundred PD1 drugs are in clinical trial. However, how to screen out the sensitive patients and predict the efficacy of immunotherapy are still unsolved problems. Moreover, the predictive biomarkers and treatment guidelines of immunotherapy for hepatobiliary tumors are barely investigated.
