Liquid Biopsy
Reliable diagnosis is the cornerstone, starting point, and prerequisite of successful treatment. Therefore, development of innovative diagnostic technologies represents a hot topic in medical research. Liquid biopsy is a novel, minimally invasive laboratory evaluation concept for diagnostic, prognos...
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| Natura: | Online |
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| Lingua: | inglese |
| Pubblicazione: |
IntechOpen
2023
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| Soggetti: | |
| Accesso online: | ONIX_20231201_9781838811303_1713 |
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| _version_ | 1869520367918252032 |
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| collection | Directory of Open Access Books |
| description | Reliable diagnosis is the cornerstone, starting point, and prerequisite of successful treatment. Therefore, development of innovative diagnostic technologies represents a hot topic in medical research. Liquid biopsy is a novel, minimally invasive laboratory evaluation concept for diagnostic, prognostic, and predictive testing, as well as dynamic monitoring of treatment or disease course. To achieve these goals, a multitude of specific, targeted tests can be performed to detect free nucleic acids, exosomes, microRNAs, tumor-educated platelets, and whole cells of tumor or fetal origin in different biological fluids, including blood, urine, cerebrospinal fluid, and others. Although tissue biopsy has long been considered the gold standard of diagnostics, especially regarding malignant tumors, liquid biopsy has the advantages of a non-invasive approach and thus low risk of complications. It is technically feasible even in serious general status or if tumors or metastases are not easily accessible using conventional tissue biopsy. The testing is fast, exact, and can be repeated to ensure real-time follow-up. In contrast to classic tumor markers, liquid biopsy is distinguished by high specificity at genomic, proteomic, and cellular levels. It is expected to equal and exceed the diagnostic value of tissue biopsy. The field of liquid biopsies is developing rapidly regarding the selection of targets, technological improvements, and quality assessment. This book, written by a global team of recognized scientists, comprises state-of-the-art reviews on the current knowledge and advances in the technologies and software for liquid biopsy. Examples of practical application of liquid biopsy to evaluate thyroid cancer, multiple myeloma, etc. are discussed as well. The book is intended to serve as a reference for scientists and clinicians interested in the development and practical implementation of liquid biopsy. |
| format | Online |
| id | doab-20.500.12854ir-130604 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1306042024-03-31T22:45:34Z Liquid Biopsy Strumfa, Ilze Gardovskis, Janis cancer, circulating tumor cells, machine learning, biomarkers, deep learning, extracellular vesicles thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis Reliable diagnosis is the cornerstone, starting point, and prerequisite of successful treatment. Therefore, development of innovative diagnostic technologies represents a hot topic in medical research. Liquid biopsy is a novel, minimally invasive laboratory evaluation concept for diagnostic, prognostic, and predictive testing, as well as dynamic monitoring of treatment or disease course. To achieve these goals, a multitude of specific, targeted tests can be performed to detect free nucleic acids, exosomes, microRNAs, tumor-educated platelets, and whole cells of tumor or fetal origin in different biological fluids, including blood, urine, cerebrospinal fluid, and others. Although tissue biopsy has long been considered the gold standard of diagnostics, especially regarding malignant tumors, liquid biopsy has the advantages of a non-invasive approach and thus low risk of complications. It is technically feasible even in serious general status or if tumors or metastases are not easily accessible using conventional tissue biopsy. The testing is fast, exact, and can be repeated to ensure real-time follow-up. In contrast to classic tumor markers, liquid biopsy is distinguished by high specificity at genomic, proteomic, and cellular levels. It is expected to equal and exceed the diagnostic value of tissue biopsy. The field of liquid biopsies is developing rapidly regarding the selection of targets, technological improvements, and quality assessment. This book, written by a global team of recognized scientists, comprises state-of-the-art reviews on the current knowledge and advances in the technologies and software for liquid biopsy. Examples of practical application of liquid biopsy to evaluate thyroid cancer, multiple myeloma, etc. are discussed as well. The book is intended to serve as a reference for scientists and clinicians interested in the development and practical implementation of liquid biopsy. 2023-12-01T17:54:55Z 2023-12-01T17:54:55Z 2019 book ONIX_20231201_9781838811303_1713 9781838811303 9781838811297 9781838811310 https://directory.doabooks.org/handle/20.500.12854/130604 eng image/jpeg n/a https://www.intechopen.com/books/6954 https://mts.intechopen.com/storage/books/6954/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.73612 10.5772/intechopen.73612 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781838811303 9781838811297 9781838811310 IntechOpen 158 open access |
| spellingShingle | cancer, circulating tumor cells, machine learning, biomarkers, deep learning, extracellular vesicles thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis Liquid Biopsy |
| title | Liquid Biopsy |
| title_full | Liquid Biopsy |
| title_fullStr | Liquid Biopsy |
| title_full_unstemmed | Liquid Biopsy |
| title_short | Liquid Biopsy |
| title_sort | liquid biopsy |
| topic | cancer, circulating tumor cells, machine learning, biomarkers, deep learning, extracellular vesicles thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis |
| topic_facet | cancer, circulating tumor cells, machine learning, biomarkers, deep learning, extracellular vesicles thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJA Medical diagnosis |
| url | ONIX_20231201_9781838811303_1713 |