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Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach

Imaging features can be useful for identifying distinct genomic differences and have predictive power for certain phenotypes attributed to genomic mutations. We aimed to identify predictive imaging biomarkers that underpin genomic alterations and clinical outcomes in lung squamous cell carcinoma (SQ...

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Autores principales: Bak, So Hyeon, Park, Hyunjin, Lee, Ho Yun, Kim, Youngwook, Kim, Hyung-Lae, Jung, Sin-Ho, Kim, Hyeseung, Kim, Jonghoon, Park, Keunchil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818618/
https://www.ncbi.nlm.nih.gov/pubmed/29459639
http://dx.doi.org/10.1038/s41598-018-21706-1
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author Bak, So Hyeon
Park, Hyunjin
Lee, Ho Yun
Kim, Youngwook
Kim, Hyung-Lae
Jung, Sin-Ho
Kim, Hyeseung
Kim, Jonghoon
Park, Keunchil
author_facet Bak, So Hyeon
Park, Hyunjin
Lee, Ho Yun
Kim, Youngwook
Kim, Hyung-Lae
Jung, Sin-Ho
Kim, Hyeseung
Kim, Jonghoon
Park, Keunchil
author_sort Bak, So Hyeon
collection PubMed
description Imaging features can be useful for identifying distinct genomic differences and have predictive power for certain phenotypes attributed to genomic mutations. We aimed to identify predictive imaging biomarkers that underpin genomic alterations and clinical outcomes in lung squamous cell carcinoma (SQCC) using a radiomics approach. In 57 patients with lung SQCC who underwent preoperative computed tomography (CT) and whole-exome DNA sequencing, 63 quantitative imaging features were extracted from CT and 73 clinicoradiological features including imaging features were classified into 8 categories: clinical, global, histogram-based, lung cancer-specific, shape, local, regional, and emphysema. Mutational profiles for core signaling pathways of lung SQCC were classified into five categories: redox stress, apoptosis, proliferation, differentiation, and chromatin remodelers. Range and right lung volume was significantly associated with alternation of apoptosis and proliferation pathway (p = 0.03, and p = 0.03). Energy was associated with the redox stress pathway (p = 0.06). None of the clinicoradiological features showed any significant association with the alteration of differentiation and chromatin remodelers pathway. This study showed that radiomic features indicating five different functional pathways of lung SQCC were different form one another. Radiomics approaches to lung SQCC have the potential to noninvasively predict alterations in core signaling pathways and clinical outcome.
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spelling pubmed-58186182018-02-26 Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach Bak, So Hyeon Park, Hyunjin Lee, Ho Yun Kim, Youngwook Kim, Hyung-Lae Jung, Sin-Ho Kim, Hyeseung Kim, Jonghoon Park, Keunchil Sci Rep Article Imaging features can be useful for identifying distinct genomic differences and have predictive power for certain phenotypes attributed to genomic mutations. We aimed to identify predictive imaging biomarkers that underpin genomic alterations and clinical outcomes in lung squamous cell carcinoma (SQCC) using a radiomics approach. In 57 patients with lung SQCC who underwent preoperative computed tomography (CT) and whole-exome DNA sequencing, 63 quantitative imaging features were extracted from CT and 73 clinicoradiological features including imaging features were classified into 8 categories: clinical, global, histogram-based, lung cancer-specific, shape, local, regional, and emphysema. Mutational profiles for core signaling pathways of lung SQCC were classified into five categories: redox stress, apoptosis, proliferation, differentiation, and chromatin remodelers. Range and right lung volume was significantly associated with alternation of apoptosis and proliferation pathway (p = 0.03, and p = 0.03). Energy was associated with the redox stress pathway (p = 0.06). None of the clinicoradiological features showed any significant association with the alteration of differentiation and chromatin remodelers pathway. This study showed that radiomic features indicating five different functional pathways of lung SQCC were different form one another. Radiomics approaches to lung SQCC have the potential to noninvasively predict alterations in core signaling pathways and clinical outcome. Nature Publishing Group UK 2018-02-19 /pmc/articles/PMC5818618/ /pubmed/29459639 http://dx.doi.org/10.1038/s41598-018-21706-1 Text en © The Author(s) 2018 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
Bak, So Hyeon
Park, Hyunjin
Lee, Ho Yun
Kim, Youngwook
Kim, Hyung-Lae
Jung, Sin-Ho
Kim, Hyeseung
Kim, Jonghoon
Park, Keunchil
Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
title Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
title_full Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
title_fullStr Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
title_full_unstemmed Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
title_short Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
title_sort imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818618/
https://www.ncbi.nlm.nih.gov/pubmed/29459639
http://dx.doi.org/10.1038/s41598-018-21706-1
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