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

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Title
Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach
Author(s)
So Hyeon Bak; Hyunjin Park; Ho Yun Lee; Youngwook Kim; Hyung-Lae Kim; Sin-Ho Jung; Hyeseung Kim; Jonghoon Kim; Keunchil Park
Publication Date
2018-02
Journal
SCIENTIFIC REPORTS, v.8, no.1, pp.3284 -
Publisher
NATURE PUBLISHING GROUP
Abstract
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. © 2018 The Author(s)
URI
http://pr.ibs.re.kr/handle/8788114/4689
ISSN
2045-2322
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > Journal Papers (저널논문)
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