Computational Tools In Inferring Cancer Tissue Of Origin And Molecular Classification Towards Personalized Cancer Therapy Volume Iii
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Computational Tools In Inferring Cancer Tissue Of Origin And Molecular Classification Towards Personalized Cancer Therapy Volume Iii
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Author : Min Tang
language : en
Publisher: Frontiers Media SA
Release Date : 2024-09-25
Computational Tools In Inferring Cancer Tissue Of Origin And Molecular Classification Towards Personalized Cancer Therapy Volume Iii written by Min Tang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Science categories.
Our second Research Topic in this series, Computational tools in inferring cancer tissue-of-origin and molecular classification towards personalized cancer therapy, Volume II (https://fro.ntiers.in/14361) has over 8 accepted articles and further manuscripts currently under review. Due to the continued success of these Research Topics and the interest in the subject, we will launch a third volume on the same topic. Inferring cancer tissue-of-origin and molecular classification are two critical problems in personalized cancer therapy. It is known that there are about 5% cancers of unknown primary (CUP) site. These kinds of patients are under empirical chemotherapy, which leads to a very low survival rate. Thus, it is important to infer cancer tissue-of-origin. However, experimental methods usually fail to identify the exact tissue-of-origin even after the death of a patient, which provides a need for computational methods especially in the era of big biomedical data. Based on the finding that gene expressions of metastasis cancer cells are more similar to those of original tissue than metastasis tissue, there have been a few computational methods developed in this area. However, the accuracy of the methods is yet to be improved to assure a clinical usage. In addition to CUP, inferring cancer tissue-of-origin is also important in avoiding misdiagnosis even if the cancer origin is known.
Computational Tools In Inferring Cancer Tissue Of Origin And Molecular Classification Towards Personalized Cancer Therapy Volume Ii
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Author : Min Tang
language : en
Publisher: Frontiers Media SA
Release Date : 2021-09-30
Computational Tools In Inferring Cancer Tissue Of Origin And Molecular Classification Towards Personalized Cancer Therapy Volume Ii written by Min Tang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Science categories.
Index Medicus
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Author :
language : en
Publisher:
Release Date : 2004
Index Medicus written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Medicine categories.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
Computational Methods In Inferring Cancer Tissue Of Origin And Cancer Molecular Classification Volume I
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Author : Min Tang
language : en
Publisher: Frontiers Media SA
Release Date : 2021-04-01
Computational Methods In Inferring Cancer Tissue Of Origin And Cancer Molecular Classification Volume I written by Min Tang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-01 with Science categories.
From A Broad Pan Cancer Analysis Towards Personalized Therapy
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Author :
language : en
Publisher:
Release Date : 2025
From A Broad Pan Cancer Analysis Towards Personalized Therapy written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
The number of cancer cases is expected to rise due to longer life expectancy and global population growth. Cancer occurs when cells grow uncontrollably due to genetic mutations, enabling them to spread and evade the immune system. These cells interact with their environment, making the process complex. However, understanding genetic mutations can provide insights into cancer progression. Targeted therapies based on these mutations are sometimes effective, though their impact is often temporary. Genetic targeting has improved treatments for cancers like lung cancer and melanoma. The aim is to identify specific genetic traits in a patient’s cancer and use drugs that target them. A major challenge is overcoming resistance, as genetic differences within tumor cells complicate treatment. Studies suggest cancer cells evolve over time, similar to natural selection, creating a diverse cell population that resists single-treatment approaches. To address this, researchers are exploring drug combinations that target multiple aspects of cancer. Composite mutations, where multiple mutations occur within the same gene, are also a focus, though they are not yet fully understood. These mutations may play a key role in cancer's evolution and treatment resistance. With the rise of big data, machine learning offers the potential to personalize cancer treatment. By combining genetic, environmental, and lifestyle data, a detailed patient “landscape” can be created. This approach could help doctors make more informed treatment decisions. The goal of this thesis was to study cancer genes, their response to treatments, and identify optimal combination therapies that provide the best outcomes and quality of life. In Chapter 2, we analyzed cancer types and found that 5% of patients had composite mutations, which correlated with other mutations in the same chromosomal region.
Cancer Genetics And Genomics For Personalized Medicine
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Author : Il-Jin Kim
language : en
Publisher: CRC Press
Release Date : 2017-04-11
Cancer Genetics And Genomics For Personalized Medicine written by Il-Jin Kim and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-11 with Medical categories.
This book covers almost all fields of cancer genetics and genomics for personalized medicine. Targeted therapy, or precision medicine, or personalized medicine is becoming a standard treatment for many diseases, including cancer. However, how much do we know about the personalized medicine approach? This lucid book helps undergraduate and graduate students, professional researchers, and clinicians to better understand the key concept of personalized medicine. The most up-to-date topics on personalized medicine in this book cover the recent trends in and updates on lung, gastric, liver, breast, and other types of cancers. Circulating tumor cell, cell-free circulating DNA, and microRNAs are discussed as new diagnostic and prognostic markers for cancer. The avatar mouse model is also discussed for maximizing treatment efficacy and prognosis prediction, and so is microenvironment as a drug resistance mechanism. With classical and new pathological approaches, the book provides a systemic overview of personalized immunotherapies and hyperthermic intraperitoneal chemotherapy, followed by new emerging fields of hereditary cancer, thereby equipping readers to eventually contribute in developing more advanced tools and therapies for curing cancer.
Computational Methods For Personalized Cancer Therapy Based On Genomics Data
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Author : Magdalena Feldhahn
language : en
Publisher:
Release Date : 2013
Computational Methods For Personalized Cancer Therapy Based On Genomics Data written by Magdalena Feldhahn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Cancer categories.
Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment
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Author : Israel Tojal Da Silva
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-21
Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment written by Israel Tojal Da Silva and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Science categories.
Essentials Of Cancer Genomic Computational Approaches And Precision Medicine
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Author : Nosheen Masood
language : en
Publisher: Springer Nature
Release Date : 2020-03-20
Essentials Of Cancer Genomic Computational Approaches And Precision Medicine written by Nosheen Masood and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-20 with Medical categories.
This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.
Molecular Diagnostics Of Cancer
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Author : Pier Paolo Piccaluga
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-04-10
Molecular Diagnostics Of Cancer written by Pier Paolo Piccaluga and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Science categories.
Precision medicine, also known as personalized medicine, is an innovative approach to medical treatment and diagnosis that takes into account individual variability in genes, environment, and lifestyle for each person. In the context of cancer, precision medicine aims to tailor medical care to the specific genetic and molecular characteristics of each patient's tumor. This allows for more targeted and effective treatments, minimizing side effects and improving outcomes. The first step in precision medicine, especially in oncology, is represented by an accurate diagnosis, including molecular and genetic data. A comprehensive assessment in molecular pathology includes conventional and more innovative techniques, including polymerase chain reaction (PCR)-based approaches, Sanger sequencing, and next-generation sequencing for genomic profiling. Precision medicine relies on the analysis of the patient's genomic information, including the DNA mutations present in their tumor. Genomic profiling helps identify specific genetic alterations that are driving the growth of cancer cells. This information is crucial for selecting targeted therapies that directly interfere with these specific molecular abnormalities. In addition, molecular diagnostics provide: • biomarker identification • tumor heterogeneity assessment In turn, this translates into direct treatment decision support. The information obtained through molecular tests guides oncologists in making more informed decisions about the most appropriate treatments for individual patients. This can include targeted therapies, immunotherapies, or other interventions based on the specific molecular profile of the tumor. Prognostication becomes treatment-specific (prediction) and predictive models can be developed by integrating genetic and molecular data with clinical information, to estimate the likelihood of treatment response, recurrence, and overall prognosis. Overall, molecular pathology has significantly advanced cancer diagnostics and treatment, leading to improved outcomes and a shift toward more personalized and effective care. The integration of molecular diagnostics and genomic information has transformed how cancer is understood and managed, offering new hope for patients and providing oncologists with powerful tools to combat the complexity of the disease.