Correlation of Brain Metastasis Genomic Alterations with Preoperative Imaging Features.
Brain metastases
Cystic features
Edema
Genomic alterations
Imaging features
Intratumoral hemorrhage
Journal
World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275
Informations de publication
Date de publication:
23 Oct 2023
23 Oct 2023
Historique:
received:
29
07
2023
revised:
17
10
2023
accepted:
18
10
2023
pubmed:
26
10
2023
medline:
26
10
2023
entrez:
25
10
2023
Statut:
aheadofprint
Résumé
The aim of this study was to examine associations between genomic alterations in brain metastases and common preoperative imaging findings including overt intratumoral hemorrhage, cystic features, and edema. A single-center, retrospective study was performed including patients who underwent surgical resection of brain metastasis with available preoperative magnetic resonance imaging (MRI). Next-generation sequencing of more than 500 coding genes was performed on the resected brain metastases. Preoperative MRI was reviewed to identify the presence of intratumoral hemorrhage, cystic features, and edema in the resected brain metastasis. Genomic data were then correlated with the imaging features using univariate and multivariate nominal logistic regression analyses. We included 144 brain metastases from 141 patients in the study cohort. Half (72) of the metastases had an intratumoral hemorrhage, 26 (18%) had cystic features, and 130 (90%) had edema. Mutations in TP53 were associated with a reduced risk of intratumoral hemorrhage (odds ratio [OR] 0.2, 95% confidence interval [CI] 0.07-0.5, P < 0.001). Mutations in RB1 and CCND1 were associated with elevated risk of the metastasis having cystic features (OR 10.3, 95% CI 2.0-52.6, P = 0.005, OR 18.4, 95% CI 2.2-155.3, P = 0.008, respectively). PIK3CA mutations were associated with a reduced risk of peritumoral edema (OR 0.2, 95% CI 0.04-0.8, P = 0.03). Several genomic alterations in brain metastases are associated with MRI features including hemorrhage, cystic features, and edema. These results provide insight into tumor biology and patients at risk of developing these imaging features.
Sections du résumé
BACKGROUND
BACKGROUND
The aim of this study was to examine associations between genomic alterations in brain metastases and common preoperative imaging findings including overt intratumoral hemorrhage, cystic features, and edema.
METHODS
METHODS
A single-center, retrospective study was performed including patients who underwent surgical resection of brain metastasis with available preoperative magnetic resonance imaging (MRI). Next-generation sequencing of more than 500 coding genes was performed on the resected brain metastases. Preoperative MRI was reviewed to identify the presence of intratumoral hemorrhage, cystic features, and edema in the resected brain metastasis. Genomic data were then correlated with the imaging features using univariate and multivariate nominal logistic regression analyses.
RESULTS
RESULTS
We included 144 brain metastases from 141 patients in the study cohort. Half (72) of the metastases had an intratumoral hemorrhage, 26 (18%) had cystic features, and 130 (90%) had edema. Mutations in TP53 were associated with a reduced risk of intratumoral hemorrhage (odds ratio [OR] 0.2, 95% confidence interval [CI] 0.07-0.5, P < 0.001). Mutations in RB1 and CCND1 were associated with elevated risk of the metastasis having cystic features (OR 10.3, 95% CI 2.0-52.6, P = 0.005, OR 18.4, 95% CI 2.2-155.3, P = 0.008, respectively). PIK3CA mutations were associated with a reduced risk of peritumoral edema (OR 0.2, 95% CI 0.04-0.8, P = 0.03).
CONCLUSIONS
CONCLUSIONS
Several genomic alterations in brain metastases are associated with MRI features including hemorrhage, cystic features, and edema. These results provide insight into tumor biology and patients at risk of developing these imaging features.
Identifiants
pubmed: 37879437
pii: S1878-8750(23)01490-0
doi: 10.1016/j.wneu.2023.10.084
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.