Novel Immune Markers and Predictive Models for Immunotherapy and Prognosis in Breast and Gynecological Cancers PDF Download
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Author: Chao Liu
Publisher: Frontiers Media SA
ISBN: 2832549942
Category : Medical
Languages : en
Pages : 203
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Book Description
Precision medicine is an emerging practice by which clinicians aim to deliver a personalized treatment program to affected patients based on information gained from their individual clinical and biological profiles. In the context of precise cancer immunotherapy, multi-omics, high-throughput sequencing, big data, and other approaches serve to screen new predictive factors for immunotherapy response and prognosis in cancer patients.
Author: Chao Liu
Publisher: Frontiers Media SA
ISBN: 2832549942
Category : Medical
Languages : en
Pages : 203
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Book Description
Precision medicine is an emerging practice by which clinicians aim to deliver a personalized treatment program to affected patients based on information gained from their individual clinical and biological profiles. In the context of precise cancer immunotherapy, multi-omics, high-throughput sequencing, big data, and other approaches serve to screen new predictive factors for immunotherapy response and prognosis in cancer patients.
Author:
Publisher: Frontiers Media SA
ISBN: 2832541933
Category : Medical
Languages : en
Pages : 261
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Book Description
This Research Topic is the second volume of the “Community Series in Novel Biomarkers for Predicting Response to Cancer Immunotherapy". Please see Volume I here. Immunotherapy has revolutionized the treatment of malignancies. Targeting of immune checkpoints cytotoxic T-lymphocyte-associated protein 4, programmed cell death protein 1 (PD-1) and its ligand (PD-L1) has led to improving survival in a subset of patients. Despite their remarkable success, clinical benefit remains limited to only a subset of patients. A significant limitation behind these current treatment modalities is an irregularity in clinical response, which is especially pronounced among checkpoint inhibition. Currently, relevant predictors of cancer immunotherapy response include microsatellite instability-high/deficient mismatch repair (MSI-H/dMMR), expression of PD-L1, tumor mutation burden (TMB), immune genomic characteristics, and tumor infiltrating lymphocytes (TILs). However, none of them have sufficient evidence to be a stratification factor. Moreover, as the combined strategies for effective cancer immunotherapy had been developed in multiple tumors, such as Immunotherapy combined with chemotherapy, radiotherapy, targeted therapy and anti-angiogenesis therapy. Therefore, the development of novel biomarkers endowed with high sensitivity, specificity and accuracy able to identify which patients may truly benefit from the treatment with cancer immunotherapy would allow to refine the therapeutic selection and to better tailor the treatment strategy. This research topic aims to focus on the advances in the discoveries of novel biomarkers for predicting response to cancer immunotherapy in various tumors. We welcome the submission of original research and review articles that include biomarkers in clinical study and applications, as well as technologies or discoveries in experimental approaches.
Author: Giampietro Gasparini
Publisher: Springer Science & Business Media
ISBN: 159259915X
Category : Medical
Languages : en
Pages : 335
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Book Description
Expert laboratory and clinical researchers from around the world review how to design and evaluate studies of tumor markers and examine their use in breast cancer patients. The authors cover both the major advances in sophisticated molecular methods and the state-of-the-art in conventional prognostic and predictive indicators. Among the topics discussed are the relevance of rigorous study design and guidelines for the validation studies of new biomarkers, gene expression profiling by tissue microarrays, adjuvant systemic therapy, and the use of estrogen, progesterone, and epidermal growth factor receptors as both prognostic and predictive indicators. Highlights include the evaluation of HER2 and EGFR family members, of p53, and of UPA/PAI-1; the detection of rare cells in blood and marrow; and the detection and analysis of soluble, circulating markers.
Author: Eric J. Bieber
Publisher: Cambridge University Press
ISBN: 1107040396
Category : Medical
Languages : en
Pages : 1127
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Book Description
Written with the busy practice in mind, this book delivers clinically focused, evidence-based gynecology guidance in a quick-reference format. It explores etiology, screening, tests, diagnosis, and treatment for a full range of gynecologic health issues. The coverage includes the full range of gynecologic malignancies, reproductive endocrinology and infertility, infectious diseases, urogynecologic problems, gynecologic concerns in children and adolescents, and surgical interventions including minimally invasive surgical procedures. Information is easy to find and absorb owing to the extensive use of full-color diagrams, algorithms, and illustrations. The new edition has been expanded to include aspects of gynecology important in international and resource-poor settings.
Author: Jianmei Wu Leavenworth
Publisher: Frontiers Media SA
ISBN: 2889744736
Category : Medical
Languages : en
Pages : 244
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Book Description
Topic Editor Dr. Lewis Shi received financial support from Varian Medical System, Inc. The other Topic Editors declare no competing interests with regard to the Research Topic subject.
Author: Yasuyuki Saito
Publisher: Frontiers Media SA
ISBN: 2889743187
Category : Medical
Languages : en
Pages : 253
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Book Description
Topic Editor Prof. Aimin Xu receives financial support from Servier Laboratories. The other Topic Editors declare no competing interests with regards to the Research Topic theme.
Author: Mohamed-Ridha Barbouche
Publisher: Frontiers Media SA
ISBN: 2889744191
Category : Medical
Languages : en
Pages : 116
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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: Sara Hurvitz
Publisher: Elsevier Health Sciences
ISBN: 0323581234
Category : Medical
Languages : en
Pages : 264
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Book Description
Get a quick, expert overview of clinically-focused topics and guidelines that are relevant to testing for HER2, which contributes to approximately 25% of breast cancers today. This concise resource by Drs. Sara Hurvitz, and Kelly McCann consolidates today’s available information on this growing topic into one convenient resource, making it an ideal, easy-to-digest reference for practicing and trainee oncologists.
Author: Robert C. Bast, Jr.
Publisher: John Wiley & Sons
ISBN: 111900084X
Category : Medical
Languages : en
Pages : 2008
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Book Description
Holland-Frei Cancer Medicine, Ninth Edition, offers a balanced view of the most current knowledge of cancer science and clinical oncology practice. This all-new edition is the consummate reference source for medical oncologists, radiation oncologists, internists, surgical oncologists, and others who treat cancer patients. A translational perspective throughout, integrating cancer biology with cancer management providing an in depth understanding of the disease An emphasis on multidisciplinary, research-driven patient care to improve outcomes and optimal use of all appropriate therapies Cutting-edge coverage of personalized cancer care, including molecular diagnostics and therapeutics Concise, readable, clinically relevant text with algorithms, guidelines and insight into the use of both conventional and novel drugs Includes free access to the Wiley Digital Edition providing search across the book, the full reference list with web links, illustrations and photographs, and post-publication updates
