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SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES

Brain metastases arise in the central nervous system (CNS) following spread of circulating mesenchymal-type cells from primary tumors. While accumulating evidence underlines the importance of the neural niche in the establishment and progression of metastases, there still remains ambiguity over CNS...

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Autores principales: Neman, Josh, Franklin, Meredith, Madaj, Zachary, Triche, Tim, Sadlik, Gal, Deshpande, Krutika, Zada, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213466/
http://dx.doi.org/10.1093/noajnl/vdz014.138
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author Neman, Josh
Franklin, Meredith
Madaj, Zachary
Triche, Tim
Sadlik, Gal
Deshpande, Krutika
Zada, Gabriel
author_facet Neman, Josh
Franklin, Meredith
Madaj, Zachary
Triche, Tim
Sadlik, Gal
Deshpande, Krutika
Zada, Gabriel
author_sort Neman, Josh
collection PubMed
description Brain metastases arise in the central nervous system (CNS) following spread of circulating mesenchymal-type cells from primary tumors. While accumulating evidence underlines the importance of the neural niche in the establishment and progression of metastases, there still remains ambiguity over CNS anatomical spatial distribution from primary cancers. We evaluated 973 patients with brain metastases (breast, colorectal, lung, melanoma, renal) totaling 2,106 lesions treated from 1994–2015 with gamma knife radiosurgery at the University of Southern California Keck Medical Center for topographical distribution analysis. MRI images of the brain were taken and used in conjunction with the frame to precisely localize tumors and measure their size. Each tumor was given an x, y, and z-coordinate derived from the head frame that corresponded to its volumetric center within a 3-dimensional Cartesian field. Topographical analyses were conducted using logistic and multinomial spatial generalized additive models (GAM). For each cancer origin type we compared the observed brain metastases to set of randomly generated spatial observations to determine whether there were statistically significant localization patterns. Spatial pattern results show: 1) melanoma has highest probability to metastasize to the right frontal (74.5%, 95% confidence interval [Cl] = 63.6%- 85.4%) and to occipital lobe (72.4%, 95% Cl = 65.8%-78.9%), 2) while breast cancers have highest proclivity to metastasize to left cerebellar hemisphere (25%, 95% Cl=16.0%-34.1%) and brainstem (16.6%, 95% Cl= 10.8%-22.4%), 3) with lung tumors metastasizing to the left (23.7%, 95% Cl= 16.0–31.3%) and right parietal (24.7%, 95% Cl=16.7–32.8%), left temporal lobe (25.2%, 95% Cl=21.4%-29.1%). Colon and renal metastases show weak spatial patterns across the CNS. We conclude there is evidence of non-uniform spatial distribution of metastasis in the brain. These tumor-specific CNS topography patterns may underlie the ability of cancer cells to adapt to the regional neural microenvironments in order to facilitate colonization and establishment of metastasis.
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spelling pubmed-72134662020-07-07 SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES Neman, Josh Franklin, Meredith Madaj, Zachary Triche, Tim Sadlik, Gal Deshpande, Krutika Zada, Gabriel Neurooncol Adv Abstracts Brain metastases arise in the central nervous system (CNS) following spread of circulating mesenchymal-type cells from primary tumors. While accumulating evidence underlines the importance of the neural niche in the establishment and progression of metastases, there still remains ambiguity over CNS anatomical spatial distribution from primary cancers. We evaluated 973 patients with brain metastases (breast, colorectal, lung, melanoma, renal) totaling 2,106 lesions treated from 1994–2015 with gamma knife radiosurgery at the University of Southern California Keck Medical Center for topographical distribution analysis. MRI images of the brain were taken and used in conjunction with the frame to precisely localize tumors and measure their size. Each tumor was given an x, y, and z-coordinate derived from the head frame that corresponded to its volumetric center within a 3-dimensional Cartesian field. Topographical analyses were conducted using logistic and multinomial spatial generalized additive models (GAM). For each cancer origin type we compared the observed brain metastases to set of randomly generated spatial observations to determine whether there were statistically significant localization patterns. Spatial pattern results show: 1) melanoma has highest probability to metastasize to the right frontal (74.5%, 95% confidence interval [Cl] = 63.6%- 85.4%) and to occipital lobe (72.4%, 95% Cl = 65.8%-78.9%), 2) while breast cancers have highest proclivity to metastasize to left cerebellar hemisphere (25%, 95% Cl=16.0%-34.1%) and brainstem (16.6%, 95% Cl= 10.8%-22.4%), 3) with lung tumors metastasizing to the left (23.7%, 95% Cl= 16.0–31.3%) and right parietal (24.7%, 95% Cl=16.7–32.8%), left temporal lobe (25.2%, 95% Cl=21.4%-29.1%). Colon and renal metastases show weak spatial patterns across the CNS. We conclude there is evidence of non-uniform spatial distribution of metastasis in the brain. These tumor-specific CNS topography patterns may underlie the ability of cancer cells to adapt to the regional neural microenvironments in order to facilitate colonization and establishment of metastasis. Oxford University Press 2019-08-12 /pmc/articles/PMC7213466/ http://dx.doi.org/10.1093/noajnl/vdz014.138 Text en © The Author(s) 2019. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of 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 Abstracts
Neman, Josh
Franklin, Meredith
Madaj, Zachary
Triche, Tim
Sadlik, Gal
Deshpande, Krutika
Zada, Gabriel
SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES
title SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES
title_full SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES
title_fullStr SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES
title_full_unstemmed SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES
title_short SURG-03. SPATIAL COORDINATES FROM GAMMA KNIFE RADIOSURGERY REVEAL PRIMARY CANCERS HAVE REGIONAL CNS TOPOGRAPHICAL DISTRIBUTION FOR BRAIN METASTASES
title_sort surg-03. spatial coordinates from gamma knife radiosurgery reveal primary cancers have regional cns topographical distribution for brain metastases
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213466/
http://dx.doi.org/10.1093/noajnl/vdz014.138
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