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Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies

Low-level tumor somatic DNA mutations in tissue and liquid biopsies obtained from cancer patients can have profound implications for development of metastasis, prognosis, choice of treatment, follow-up, or early cancer detection. Unless detected, such low-frequency DNA alterations can misinform pati...

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Autores principales: Darbeheshti, Farzaneh, Makrigiorgos, G. Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865676/
https://www.ncbi.nlm.nih.gov/pubmed/36674433
http://dx.doi.org/10.3390/ijms24020923
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author Darbeheshti, Farzaneh
Makrigiorgos, G. Mike
author_facet Darbeheshti, Farzaneh
Makrigiorgos, G. Mike
author_sort Darbeheshti, Farzaneh
collection PubMed
description Low-level tumor somatic DNA mutations in tissue and liquid biopsies obtained from cancer patients can have profound implications for development of metastasis, prognosis, choice of treatment, follow-up, or early cancer detection. Unless detected, such low-frequency DNA alterations can misinform patient management decisions or become missed opportunities for personalized medicine. Next-generation sequencing technologies and digital-PCR can resolve low-level mutations but require access to specialized instrumentation, time, and resources. Enzymatic-based approaches to detection of low-level mutations provide a simple, straightforward, and affordable alternative to enrich and detect such alterations and is broadly available to low-resource laboratory settings. This review summarizes the traditional uses of enzymatic mutation detection and describes the latest exciting developments, potential, and applications with specific reference to the field of liquid biopsy in cancer.
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spelling pubmed-98656762023-01-22 Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies Darbeheshti, Farzaneh Makrigiorgos, G. Mike Int J Mol Sci Review Low-level tumor somatic DNA mutations in tissue and liquid biopsies obtained from cancer patients can have profound implications for development of metastasis, prognosis, choice of treatment, follow-up, or early cancer detection. Unless detected, such low-frequency DNA alterations can misinform patient management decisions or become missed opportunities for personalized medicine. Next-generation sequencing technologies and digital-PCR can resolve low-level mutations but require access to specialized instrumentation, time, and resources. Enzymatic-based approaches to detection of low-level mutations provide a simple, straightforward, and affordable alternative to enrich and detect such alterations and is broadly available to low-resource laboratory settings. This review summarizes the traditional uses of enzymatic mutation detection and describes the latest exciting developments, potential, and applications with specific reference to the field of liquid biopsy in cancer. MDPI 2023-01-04 /pmc/articles/PMC9865676/ /pubmed/36674433 http://dx.doi.org/10.3390/ijms24020923 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Darbeheshti, Farzaneh
Makrigiorgos, G. Mike
Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies
title Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies
title_full Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies
title_fullStr Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies
title_full_unstemmed Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies
title_short Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies
title_sort enzymatic methods for mutation detection in cancer samples and liquid biopsies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865676/
https://www.ncbi.nlm.nih.gov/pubmed/36674433
http://dx.doi.org/10.3390/ijms24020923
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