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QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS
OBJECTIVE: To identify genetic predictors of neurocognition, CMBs, brain volume, and WM changes in pediatric brain tumor survivors. METHODS: Patients were selected from an existing cohort (RadART) if they had: 1) at least one neurocognitive evaluation using computer-based CogState; 2) available DNA;...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715740/ http://dx.doi.org/10.1093/neuonc/noaa222.706 |
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author | Kline, Cassie Stoller, Schuyler Byer, Lennox Edwards, Caleb Prasad, Rachna Torkildson, Joseph Gauvain, Karen Samuel, David Lupo, Janine Morrison, Melanie Tong, Elizabeth Savchuk, Solomiia Valencia, Christian Rodrigo Ugaz Rauschecker, Andreas Rudie, Jeffrey Hoffman, Thomas Dubal, Dena Fullerton, Heather Mueller, Sabine |
author_facet | Kline, Cassie Stoller, Schuyler Byer, Lennox Edwards, Caleb Prasad, Rachna Torkildson, Joseph Gauvain, Karen Samuel, David Lupo, Janine Morrison, Melanie Tong, Elizabeth Savchuk, Solomiia Valencia, Christian Rodrigo Ugaz Rauschecker, Andreas Rudie, Jeffrey Hoffman, Thomas Dubal, Dena Fullerton, Heather Mueller, Sabine |
author_sort | Kline, Cassie |
collection | PubMed |
description | OBJECTIVE: To identify genetic predictors of neurocognition, CMBs, brain volume, and WM changes in pediatric brain tumor survivors. METHODS: Patients were selected from an existing cohort (RadART) if they had: 1) at least one neurocognitive evaluation using computer-based CogState; 2) available DNA; 3) standard imaging. Candidate gene or genome-wide genotyping was performed on all patients. CMBs were identified using a semi-automated algorithm developed in MATLAB. Volume of T2/FLAIR WM signal abnormality was measured using a semi-automated method based on a convolutional neural network. Brain volume and cortical thickness were measured using FreeSurfer volumetric analysis. Logistic and linear regression were done to compare phenotypes with candidate genotypes. Genome-wide efficient mixed-model analysis was done to compare neurocognition and CMBs. Gene set analysis was done using https://fuma.ctglab.nl/. RESULTS: APOE4 was a candidate variant associated with non-lobar, larger volume CMBs (p<0.05). At the GWAS-level (n=225), specific genes trended with visual memory, psychomotor function, and CMB count (p<5x10(-8)). Using gene set analyses, there were gene set trends seen with CMB count and psychomotor function. Small sample size and low mutant allele frequency limited reliability of these findings. Preliminary volumetric analysis show reduced volume within the right parietal, medial occipital and inferior temporal lobes with increased cortical thickness in the left occipital and medial parietal lobe in patients carrying the ApoE4 allele. WM signal assessments are ongoing. CONCLUSION: Genetic markers may be associated with neurocognition, CMBs, brain volume and WM changes in pediatric brain tumor survivors; however, larger cohorts are needed to confirm specific gene relevance. |
format | Online Article Text |
id | pubmed-7715740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77157402020-12-09 QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS Kline, Cassie Stoller, Schuyler Byer, Lennox Edwards, Caleb Prasad, Rachna Torkildson, Joseph Gauvain, Karen Samuel, David Lupo, Janine Morrison, Melanie Tong, Elizabeth Savchuk, Solomiia Valencia, Christian Rodrigo Ugaz Rauschecker, Andreas Rudie, Jeffrey Hoffman, Thomas Dubal, Dena Fullerton, Heather Mueller, Sabine Neuro Oncol Neuropsychology/Quality of Life OBJECTIVE: To identify genetic predictors of neurocognition, CMBs, brain volume, and WM changes in pediatric brain tumor survivors. METHODS: Patients were selected from an existing cohort (RadART) if they had: 1) at least one neurocognitive evaluation using computer-based CogState; 2) available DNA; 3) standard imaging. Candidate gene or genome-wide genotyping was performed on all patients. CMBs were identified using a semi-automated algorithm developed in MATLAB. Volume of T2/FLAIR WM signal abnormality was measured using a semi-automated method based on a convolutional neural network. Brain volume and cortical thickness were measured using FreeSurfer volumetric analysis. Logistic and linear regression were done to compare phenotypes with candidate genotypes. Genome-wide efficient mixed-model analysis was done to compare neurocognition and CMBs. Gene set analysis was done using https://fuma.ctglab.nl/. RESULTS: APOE4 was a candidate variant associated with non-lobar, larger volume CMBs (p<0.05). At the GWAS-level (n=225), specific genes trended with visual memory, psychomotor function, and CMB count (p<5x10(-8)). Using gene set analyses, there were gene set trends seen with CMB count and psychomotor function. Small sample size and low mutant allele frequency limited reliability of these findings. Preliminary volumetric analysis show reduced volume within the right parietal, medial occipital and inferior temporal lobes with increased cortical thickness in the left occipital and medial parietal lobe in patients carrying the ApoE4 allele. WM signal assessments are ongoing. CONCLUSION: Genetic markers may be associated with neurocognition, CMBs, brain volume and WM changes in pediatric brain tumor survivors; however, larger cohorts are needed to confirm specific gene relevance. Oxford University Press 2020-12-04 /pmc/articles/PMC7715740/ http://dx.doi.org/10.1093/neuonc/noaa222.706 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Neuropsychology/Quality of Life Kline, Cassie Stoller, Schuyler Byer, Lennox Edwards, Caleb Prasad, Rachna Torkildson, Joseph Gauvain, Karen Samuel, David Lupo, Janine Morrison, Melanie Tong, Elizabeth Savchuk, Solomiia Valencia, Christian Rodrigo Ugaz Rauschecker, Andreas Rudie, Jeffrey Hoffman, Thomas Dubal, Dena Fullerton, Heather Mueller, Sabine QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS |
title | QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS |
title_full | QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS |
title_fullStr | QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS |
title_full_unstemmed | QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS |
title_short | QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS |
title_sort | qol-53. genome associations with neurocognitive outcomes, cerebral microbleeds (cmbs), and brain volume and white matter (wm) changes in pediatric brain tumor survivors |
topic | Neuropsychology/Quality of Life |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715740/ http://dx.doi.org/10.1093/neuonc/noaa222.706 |
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