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Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients
The longitudinal monitoring of patient circulating tumor DNA (ctDNA) provides a powerful method for tracking the progression, remission, and recurrence of several types of cancer. Often, clinical and research approaches involve the manual review of individual liquid biopsy reports after sampling and...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204543/ https://www.ncbi.nlm.nih.gov/pubmed/37218906 http://dx.doi.org/10.3390/mps6030046 |
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author | Udalov, Aleksandr Kumar, Lexman Gaudette, Anna N. Zhang, Ran Salomao, Joao Saigal, Sanjay Nosrati, Mehdi McAllister, Sean D. Desprez, Pierre-Yves |
author_facet | Udalov, Aleksandr Kumar, Lexman Gaudette, Anna N. Zhang, Ran Salomao, Joao Saigal, Sanjay Nosrati, Mehdi McAllister, Sean D. Desprez, Pierre-Yves |
author_sort | Udalov, Aleksandr |
collection | PubMed |
description | The longitudinal monitoring of patient circulating tumor DNA (ctDNA) provides a powerful method for tracking the progression, remission, and recurrence of several types of cancer. Often, clinical and research approaches involve the manual review of individual liquid biopsy reports after sampling and genomic testing. Here, we describe a process developed to integrate techniques utilized in data science within a cancer research framework. Using data collection, an analysis that classifies genetic cancer mutations as pathogenic, and a patient matching methodology that identifies the same donor within all liquid biopsy reports, the manual work for research personnel is drastically reduced. Automated dashboards provide longitudinal views of patient data for research studies to investigate tumor progression and treatment efficacy via the identification of ctDNA variant allele frequencies over time. |
format | Online Article Text |
id | pubmed-10204543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102045432023-05-24 Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients Udalov, Aleksandr Kumar, Lexman Gaudette, Anna N. Zhang, Ran Salomao, Joao Saigal, Sanjay Nosrati, Mehdi McAllister, Sean D. Desprez, Pierre-Yves Methods Protoc Technical Note The longitudinal monitoring of patient circulating tumor DNA (ctDNA) provides a powerful method for tracking the progression, remission, and recurrence of several types of cancer. Often, clinical and research approaches involve the manual review of individual liquid biopsy reports after sampling and genomic testing. Here, we describe a process developed to integrate techniques utilized in data science within a cancer research framework. Using data collection, an analysis that classifies genetic cancer mutations as pathogenic, and a patient matching methodology that identifies the same donor within all liquid biopsy reports, the manual work for research personnel is drastically reduced. Automated dashboards provide longitudinal views of patient data for research studies to investigate tumor progression and treatment efficacy via the identification of ctDNA variant allele frequencies over time. MDPI 2023-05-01 /pmc/articles/PMC10204543/ /pubmed/37218906 http://dx.doi.org/10.3390/mps6030046 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 | Technical Note Udalov, Aleksandr Kumar, Lexman Gaudette, Anna N. Zhang, Ran Salomao, Joao Saigal, Sanjay Nosrati, Mehdi McAllister, Sean D. Desprez, Pierre-Yves Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients |
title | Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients |
title_full | Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients |
title_fullStr | Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients |
title_full_unstemmed | Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients |
title_short | Automated Dashboards for the Identification of Pathogenic Circulating Tumor DNA Mutations in Longitudinal Blood Draws of Cancer Patients |
title_sort | automated dashboards for the identification of pathogenic circulating tumor dna mutations in longitudinal blood draws of cancer patients |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204543/ https://www.ncbi.nlm.nih.gov/pubmed/37218906 http://dx.doi.org/10.3390/mps6030046 |
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