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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...

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Autores principales: Udalov, Aleksandr, Kumar, Lexman, Gaudette, Anna N., Zhang, Ran, Salomao, Joao, Saigal, Sanjay, Nosrati, Mehdi, McAllister, Sean D., Desprez, Pierre-Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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