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Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers
Hippocampal-avoidance whole-brain radiation therapy (HA-WBRT) is justified because of low hippocampal brain metastases (BM) rate and its prevention of cognitive decline. However, we hypothesize that the risk of developing BM in the hippocampal-avoidance region (HAR) may differ depending on the lung-...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127383/ https://www.ncbi.nlm.nih.gov/pubmed/35619920 http://dx.doi.org/10.3389/fonc.2022.781818 |
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author | Ahn, Sung Jun Kwon, Hyeokjin Kim, Jun Won Park, Goeun Park, Mina Joo, Bio Suh, Sang Hyun Chang, Yoon Soo Lee, Jong-Min |
author_facet | Ahn, Sung Jun Kwon, Hyeokjin Kim, Jun Won Park, Goeun Park, Mina Joo, Bio Suh, Sang Hyun Chang, Yoon Soo Lee, Jong-Min |
author_sort | Ahn, Sung Jun |
collection | PubMed |
description | Hippocampal-avoidance whole-brain radiation therapy (HA-WBRT) is justified because of low hippocampal brain metastases (BM) rate and its prevention of cognitive decline. However, we hypothesize that the risk of developing BM in the hippocampal-avoidance region (HAR) may differ depending on the lung-cancer stage and molecular status. We retrospectively reviewed 123 patients with non-small cell lung cancer (NSCLC) at the initial diagnosis of BM. The number of BMs within the HAR (5 mm expansion) was counted. The cohort was divided into patients with and without BMs in the HAR, and their clinical variables, TNM stage, and epidermal growth factor receptor (EGFR) status were compared. The most influential variable predicting BMs in the HAR was determined using multi-variable logistic regression, classification and regression tree (CART) analyses, and gradient boosting method (GBM). The feasibility of HAR expansion was tested using generalized estimating equation marginal model. Patients with BMs in the HAR were more frequently non-smokers, and more likely to have extra-cranial metastases and EGFR mutations (p<0.05). Multi-variable analysis revealed that extra-cranial metastases were independently associated with the presence of BM in the HAR (odds ratio=8.75, p=0.04). CART analysis and GBM revealed that the existence of extra-cranial metastasis was the most influential variable predicting BM occurrence in the HAR (variable importance: 23% and relative influence: 37.38). The estmated BM incidence of patients without extra-cranial metastases in th extended HAR (7.5-mm and 10-mm expansion) did not differ significantly from that in the conventional HAR. In conclusion, NSCLC patients with extra-cranial metastases were more likely to have BMs in the HAR than those without extra-cranial metastases. |
format | Online Article Text |
id | pubmed-9127383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91273832022-05-25 Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers Ahn, Sung Jun Kwon, Hyeokjin Kim, Jun Won Park, Goeun Park, Mina Joo, Bio Suh, Sang Hyun Chang, Yoon Soo Lee, Jong-Min Front Oncol Oncology Hippocampal-avoidance whole-brain radiation therapy (HA-WBRT) is justified because of low hippocampal brain metastases (BM) rate and its prevention of cognitive decline. However, we hypothesize that the risk of developing BM in the hippocampal-avoidance region (HAR) may differ depending on the lung-cancer stage and molecular status. We retrospectively reviewed 123 patients with non-small cell lung cancer (NSCLC) at the initial diagnosis of BM. The number of BMs within the HAR (5 mm expansion) was counted. The cohort was divided into patients with and without BMs in the HAR, and their clinical variables, TNM stage, and epidermal growth factor receptor (EGFR) status were compared. The most influential variable predicting BMs in the HAR was determined using multi-variable logistic regression, classification and regression tree (CART) analyses, and gradient boosting method (GBM). The feasibility of HAR expansion was tested using generalized estimating equation marginal model. Patients with BMs in the HAR were more frequently non-smokers, and more likely to have extra-cranial metastases and EGFR mutations (p<0.05). Multi-variable analysis revealed that extra-cranial metastases were independently associated with the presence of BM in the HAR (odds ratio=8.75, p=0.04). CART analysis and GBM revealed that the existence of extra-cranial metastasis was the most influential variable predicting BM occurrence in the HAR (variable importance: 23% and relative influence: 37.38). The estmated BM incidence of patients without extra-cranial metastases in th extended HAR (7.5-mm and 10-mm expansion) did not differ significantly from that in the conventional HAR. In conclusion, NSCLC patients with extra-cranial metastases were more likely to have BMs in the HAR than those without extra-cranial metastases. Frontiers Media S.A. 2022-05-10 /pmc/articles/PMC9127383/ /pubmed/35619920 http://dx.doi.org/10.3389/fonc.2022.781818 Text en Copyright © 2022 Ahn, Kwon, Kim, Park, Park, Joo, Suh, Chang and Lee https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Ahn, Sung Jun Kwon, Hyeokjin Kim, Jun Won Park, Goeun Park, Mina Joo, Bio Suh, Sang Hyun Chang, Yoon Soo Lee, Jong-Min Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers |
title | Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers |
title_full | Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers |
title_fullStr | Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers |
title_full_unstemmed | Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers |
title_short | Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers |
title_sort | hippocampal metastasis rate based on non-small lung cancer tnm stage and molecular markers |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127383/ https://www.ncbi.nlm.nih.gov/pubmed/35619920 http://dx.doi.org/10.3389/fonc.2022.781818 |
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