Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer

Radiogenomic heterogeneity features in <sup>18</sup>F-fluorodeoxyglucose positron emission tomography (<sup>18</sup>F-FDG PET) have become popular in non-small cell lung cancer (NSCLC) research. However, the reliabilities of genomic heterogeneity features and of PET-based gly...

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Main Authors: Yu-Hung Chen, Kun-Han Lue, Chih-Bin Lin, Kuang-Chi Chen, Sheng-Chieh Chan, Sung-Chao Chu, Bee-Song Chang, Yen-Chang Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/4/3988
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author Yu-Hung Chen
Kun-Han Lue
Chih-Bin Lin
Kuang-Chi Chen
Sheng-Chieh Chan
Sung-Chao Chu
Bee-Song Chang
Yen-Chang Chen
author_facet Yu-Hung Chen
Kun-Han Lue
Chih-Bin Lin
Kuang-Chi Chen
Sheng-Chieh Chan
Sung-Chao Chu
Bee-Song Chang
Yen-Chang Chen
author_sort Yu-Hung Chen
collection DOAJ
description Radiogenomic heterogeneity features in <sup>18</sup>F-fluorodeoxyglucose positron emission tomography (<sup>18</sup>F-FDG PET) have become popular in non-small cell lung cancer (NSCLC) research. However, the reliabilities of genomic heterogeneity features and of PET-based glycolytic features in different image matrix sizes have yet to be thoroughly tested. We conducted a prospective study with 46 NSCLC patients to assess the intra-class correlation coefficient (ICC) of different genomic heterogeneity features. We also tested the ICC of PET-based heterogeneity features from different image matrix sizes. The association of radiogenomic features with clinical data was also examined. The entropy-based genomic heterogeneity feature (ICC = 0.736) is more reliable than the median-based feature (ICC = −0.416). The PET-based glycolytic entropy was insensitive to image matrix size change (ICC = 0.958) and remained reliable in tumors with a metabolic volume of <10 mL (ICC = 0.894). The glycolytic entropy is also significantly associated with advanced cancer stages (<i>p</i> = 0.011). We conclude that the entropy-based radiogenomic features are reliable and may serve as ideal biomarkers for research and further clinical use for NSCLC.
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spelling doaj.art-570fb75fd57f4a26883f8a044f978fd32023-11-16T21:07:55ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-02-01244398810.3390/ijms24043988Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung CancerYu-Hung Chen0Kun-Han Lue1Chih-Bin Lin2Kuang-Chi Chen3Sheng-Chieh Chan4Sung-Chao Chu5Bee-Song Chang6Yen-Chang Chen7Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, TaiwanDepartment of Medical Imaging and Radiological Sciences, Tzu Chi University of Science and Technology, Hualien 97005, TaiwanDepartment of Internal Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, TaiwanDepartment of Medical Informatics, Tzu Chi University, Hualien 97004, TaiwanDepartment of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, TaiwanSchool of Medicine, College of Medicine, Tzu Chi University, Hualien 97004, TaiwanDepartment of Cardiothoracic Surgery, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, TaiwanSchool of Medicine, College of Medicine, Tzu Chi University, Hualien 97004, TaiwanRadiogenomic heterogeneity features in <sup>18</sup>F-fluorodeoxyglucose positron emission tomography (<sup>18</sup>F-FDG PET) have become popular in non-small cell lung cancer (NSCLC) research. However, the reliabilities of genomic heterogeneity features and of PET-based glycolytic features in different image matrix sizes have yet to be thoroughly tested. We conducted a prospective study with 46 NSCLC patients to assess the intra-class correlation coefficient (ICC) of different genomic heterogeneity features. We also tested the ICC of PET-based heterogeneity features from different image matrix sizes. The association of radiogenomic features with clinical data was also examined. The entropy-based genomic heterogeneity feature (ICC = 0.736) is more reliable than the median-based feature (ICC = −0.416). The PET-based glycolytic entropy was insensitive to image matrix size change (ICC = 0.958) and remained reliable in tumors with a metabolic volume of <10 mL (ICC = 0.894). The glycolytic entropy is also significantly associated with advanced cancer stages (<i>p</i> = 0.011). We conclude that the entropy-based radiogenomic features are reliable and may serve as ideal biomarkers for research and further clinical use for NSCLC.https://www.mdpi.com/1422-0067/24/4/3988tumor heterogeneitywhole exome sequencing<sup>18</sup>F-FDG PETmolecular imaginglung cancer
spellingShingle Yu-Hung Chen
Kun-Han Lue
Chih-Bin Lin
Kuang-Chi Chen
Sheng-Chieh Chan
Sung-Chao Chu
Bee-Song Chang
Yen-Chang Chen
Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer
International Journal of Molecular Sciences
tumor heterogeneity
whole exome sequencing
<sup>18</sup>F-FDG PET
molecular imaging
lung cancer
title Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer
title_full Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer
title_fullStr Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer
title_full_unstemmed Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer
title_short Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer
title_sort genomic and glycolytic entropy are reliable radiogenomic heterogeneity biomarkers for non small cell lung cancer
topic tumor heterogeneity
whole exome sequencing
<sup>18</sup>F-FDG PET
molecular imaging
lung cancer
url https://www.mdpi.com/1422-0067/24/4/3988
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