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(18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma

BACKGROUND: The methylation status of the O(6)-methylguanine-DNA methyltransferase (MGMT) promoter has emerged as a favorable independent prognostic and predictive biomarker in glioma. This study aimed to build a radiomics signature based on (18)F-fluorodeoxyglucose (FDG) positron emission tomograph...

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Autores principales: Kong, Ziren, Lin, Yusong, Jiang, Chendan, Li, Longfei, Liu, Zehua, Wang, Yuekun, Dai, Congxin, Liu, Delin, Qin, Xuying, Wang, Yu, Liu, Zhenyu, Cheng, Xin, Tian, Jie, Ma, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701097/
https://www.ncbi.nlm.nih.gov/pubmed/31426864
http://dx.doi.org/10.1186/s40644-019-0246-0
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author Kong, Ziren
Lin, Yusong
Jiang, Chendan
Li, Longfei
Liu, Zehua
Wang, Yuekun
Dai, Congxin
Liu, Delin
Qin, Xuying
Wang, Yu
Liu, Zhenyu
Cheng, Xin
Tian, Jie
Ma, Wenbin
author_facet Kong, Ziren
Lin, Yusong
Jiang, Chendan
Li, Longfei
Liu, Zehua
Wang, Yuekun
Dai, Congxin
Liu, Delin
Qin, Xuying
Wang, Yu
Liu, Zhenyu
Cheng, Xin
Tian, Jie
Ma, Wenbin
author_sort Kong, Ziren
collection PubMed
description BACKGROUND: The methylation status of the O(6)-methylguanine-DNA methyltransferase (MGMT) promoter has emerged as a favorable independent prognostic and predictive biomarker in glioma. This study aimed to build a radiomics signature based on (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) for noninvasive measurement of the MGMT promoter methylation status in glioma. METHODS: One hundred and seven pathology-confirmed primary diffuse glioma patients were retrospectively included and randomly assigned to the primary (n = 71) or validation cohort (n = 36). The MGMT promoter methylation status was measured by pyrosequencing. A total of 1561 radiomics features were extracted from the three-dimensional region of interest (ROI) on the standard uptake value (SUV) maps that were generated from the original (18)F-FDG PET data. A radiomics signature, a clinical signature and a fusion signature that combined the clinical and radiomics features together were generated. The performance of the three signatures was evaluated by receiver operating characteristic (ROC) curve analysis, and the patient prognosis was stratified based on the MGMT promoter methylation status and the signature with the best performance. RESULTS: Five radiomics features were selected to construct the radiomics signature, and displayed the best performance with area under the receiver operating characteristic (ROC) curve (AUC) reaching 0.94 and 0.86 in the primary and validation cohorts, respectively, which outweigh the performances of clinical signature and fusion signature. With a median follow-up time of 32.4 months, the radiomics signature stratified the glioma patients into two risk groups with significantly different prognoses (p = 0.04). CONCLUSIONS: (18)F-FDG-PET-based radiomics is a promising approach for preoperatively evaluating the MGMT promoter methylation status in glioma and predicting the prognosis of glioma patients noninvasively.
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spelling pubmed-67010972019-08-26 (18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma Kong, Ziren Lin, Yusong Jiang, Chendan Li, Longfei Liu, Zehua Wang, Yuekun Dai, Congxin Liu, Delin Qin, Xuying Wang, Yu Liu, Zhenyu Cheng, Xin Tian, Jie Ma, Wenbin Cancer Imaging Research Article BACKGROUND: The methylation status of the O(6)-methylguanine-DNA methyltransferase (MGMT) promoter has emerged as a favorable independent prognostic and predictive biomarker in glioma. This study aimed to build a radiomics signature based on (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) for noninvasive measurement of the MGMT promoter methylation status in glioma. METHODS: One hundred and seven pathology-confirmed primary diffuse glioma patients were retrospectively included and randomly assigned to the primary (n = 71) or validation cohort (n = 36). The MGMT promoter methylation status was measured by pyrosequencing. A total of 1561 radiomics features were extracted from the three-dimensional region of interest (ROI) on the standard uptake value (SUV) maps that were generated from the original (18)F-FDG PET data. A radiomics signature, a clinical signature and a fusion signature that combined the clinical and radiomics features together were generated. The performance of the three signatures was evaluated by receiver operating characteristic (ROC) curve analysis, and the patient prognosis was stratified based on the MGMT promoter methylation status and the signature with the best performance. RESULTS: Five radiomics features were selected to construct the radiomics signature, and displayed the best performance with area under the receiver operating characteristic (ROC) curve (AUC) reaching 0.94 and 0.86 in the primary and validation cohorts, respectively, which outweigh the performances of clinical signature and fusion signature. With a median follow-up time of 32.4 months, the radiomics signature stratified the glioma patients into two risk groups with significantly different prognoses (p = 0.04). CONCLUSIONS: (18)F-FDG-PET-based radiomics is a promising approach for preoperatively evaluating the MGMT promoter methylation status in glioma and predicting the prognosis of glioma patients noninvasively. BioMed Central 2019-08-19 /pmc/articles/PMC6701097/ /pubmed/31426864 http://dx.doi.org/10.1186/s40644-019-0246-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kong, Ziren
Lin, Yusong
Jiang, Chendan
Li, Longfei
Liu, Zehua
Wang, Yuekun
Dai, Congxin
Liu, Delin
Qin, Xuying
Wang, Yu
Liu, Zhenyu
Cheng, Xin
Tian, Jie
Ma, Wenbin
(18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma
title (18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma
title_full (18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma
title_fullStr (18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma
title_full_unstemmed (18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma
title_short (18)F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma
title_sort (18)f-fdg-pet-based radiomics signature predicts mgmt promoter methylation status in primary diffuse glioma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701097/
https://www.ncbi.nlm.nih.gov/pubmed/31426864
http://dx.doi.org/10.1186/s40644-019-0246-0
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