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Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma
Hypoxia, a characteristic trait of Glioblastoma (GBM), is known to cause resistance to chemo-radiation treatment and is linked with poor survival. There is hence an urgent need to non-invasively characterize tumor hypoxia to improve GBM management. We hypothesized that (a) radiomic texture descripto...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758516/ https://www.ncbi.nlm.nih.gov/pubmed/29311558 http://dx.doi.org/10.1038/s41598-017-18310-0 |
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author | Beig, Niha Patel, Jay Prasanna, Prateek Hill, Virginia Gupta, Amit Correa, Ramon Bera, Kaustav Singh, Salendra Partovi, Sasan Varadan, Vinay Ahluwalia, Manmeet Madabhushi, Anant Tiwari, Pallavi |
author_facet | Beig, Niha Patel, Jay Prasanna, Prateek Hill, Virginia Gupta, Amit Correa, Ramon Bera, Kaustav Singh, Salendra Partovi, Sasan Varadan, Vinay Ahluwalia, Manmeet Madabhushi, Anant Tiwari, Pallavi |
author_sort | Beig, Niha |
collection | PubMed |
description | Hypoxia, a characteristic trait of Glioblastoma (GBM), is known to cause resistance to chemo-radiation treatment and is linked with poor survival. There is hence an urgent need to non-invasively characterize tumor hypoxia to improve GBM management. We hypothesized that (a) radiomic texture descriptors can capture tumor heterogeneity manifested as a result of molecular variations in tumor hypoxia, on routine treatment naïve MRI, and (b) these imaging based texture surrogate markers of hypoxia can discriminate GBM patients as short-term (STS), mid-term (MTS), and long-term survivors (LTS). 115 studies (33 STS, 41 MTS, 41 LTS) with gadolinium-enhanced T1-weighted MRI (Gd-T1w) and T2-weighted (T2w) and FLAIR MRI protocols and the corresponding RNA sequences were obtained. After expert segmentation of necrotic, enhancing, and edematous/nonenhancing tumor regions for every study, 30 radiomic texture descriptors were extracted from every region across every MRI protocol. Using the expression profile of 21 hypoxia-associated genes, a hypoxia enrichment score (HES) was obtained for the training cohort of 85 cases. Mutual information score was used to identify a subset of radiomic features that were most informative of HES within 3-fold cross-validation to categorize studies as STS, MTS, and LTS. When validated on an additional cohort of 30 studies (11 STS, 9 MTS, 10 LTS), our results revealed that the most discriminative features of HES were also able to distinguish STS from LTS (p = 0.003). |
format | Online Article Text |
id | pubmed-5758516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57585162018-01-10 Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma Beig, Niha Patel, Jay Prasanna, Prateek Hill, Virginia Gupta, Amit Correa, Ramon Bera, Kaustav Singh, Salendra Partovi, Sasan Varadan, Vinay Ahluwalia, Manmeet Madabhushi, Anant Tiwari, Pallavi Sci Rep Article Hypoxia, a characteristic trait of Glioblastoma (GBM), is known to cause resistance to chemo-radiation treatment and is linked with poor survival. There is hence an urgent need to non-invasively characterize tumor hypoxia to improve GBM management. We hypothesized that (a) radiomic texture descriptors can capture tumor heterogeneity manifested as a result of molecular variations in tumor hypoxia, on routine treatment naïve MRI, and (b) these imaging based texture surrogate markers of hypoxia can discriminate GBM patients as short-term (STS), mid-term (MTS), and long-term survivors (LTS). 115 studies (33 STS, 41 MTS, 41 LTS) with gadolinium-enhanced T1-weighted MRI (Gd-T1w) and T2-weighted (T2w) and FLAIR MRI protocols and the corresponding RNA sequences were obtained. After expert segmentation of necrotic, enhancing, and edematous/nonenhancing tumor regions for every study, 30 radiomic texture descriptors were extracted from every region across every MRI protocol. Using the expression profile of 21 hypoxia-associated genes, a hypoxia enrichment score (HES) was obtained for the training cohort of 85 cases. Mutual information score was used to identify a subset of radiomic features that were most informative of HES within 3-fold cross-validation to categorize studies as STS, MTS, and LTS. When validated on an additional cohort of 30 studies (11 STS, 9 MTS, 10 LTS), our results revealed that the most discriminative features of HES were also able to distinguish STS from LTS (p = 0.003). Nature Publishing Group UK 2018-01-08 /pmc/articles/PMC5758516/ /pubmed/29311558 http://dx.doi.org/10.1038/s41598-017-18310-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Beig, Niha Patel, Jay Prasanna, Prateek Hill, Virginia Gupta, Amit Correa, Ramon Bera, Kaustav Singh, Salendra Partovi, Sasan Varadan, Vinay Ahluwalia, Manmeet Madabhushi, Anant Tiwari, Pallavi Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma |
title | Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma |
title_full | Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma |
title_fullStr | Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma |
title_full_unstemmed | Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma |
title_short | Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma |
title_sort | radiogenomic analysis of hypoxia pathway is predictive of overall survival in glioblastoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758516/ https://www.ncbi.nlm.nih.gov/pubmed/29311558 http://dx.doi.org/10.1038/s41598-017-18310-0 |
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