Seung Hwan Moon1, Jinho Kim2, Je-Gun Joung2, Hongui Cha2,3, Woong-Yang Park4, Jin Seok Ahn5, Myung-Ju Ahn5, Keunchil Park5, Joon Young Choi6, Kyung-Han Lee6, Byung-Tae Kim6, Se-Hoon Lee7,8. 1. Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea. seunghwan.moons.moon@samsung.com. 2. Samsung Genome Institute, Samsung Medical Center, Seoul, Republic of Korea. 3. Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea. 4. Samsung Genome Institute, Samsung Medical Center, Samsung Advanced Institute of Health Science and Technology, Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. 5. Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. 6. Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea. 7. Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea. sehoon.lee@samsung.com. 8. Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. sehoon.lee@samsung.com.
Abstract
PURPOSE: This study investigated the correlations between parameters of 18F-fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET) scan and indices of genetic properties, heterogeneity index (HI), and tumor mutation burden (TMB), in patients with lung cancer. METHODS: We produced 106 PET indices for each tumor site that underwent genomic analysis in a total of 176 study subjects (age, 62.0 ± 10.0 y; males, 68.2%), comprising 101 adenocarcinoma (ADC), 29 squamous cell carcinoma (SQCC), and 46 small cell lung cancer (SCLC) patients. We then examined the correlations of the PET parameters with genetic properties of HI and TMB, according to pathology and tumor site. RESULTS: Comparisons between PET parameters and the genetic properties with false discovery rate (FDR) correction revealed that the surface standard uptake value (SUV) entropy of SUV statistics had a significant correlation with HI only in patients with SCLC who underwent a genetic test in lymph nodes (r = 0.592, p = 0.028), whereas PET parameters did not show a significant correlation with HI or TMB in patients with SCLC who underwent a genetic test in lung tissue. In patients with ADC and SQCC, there was no significant correlation between PET parameters and the genetic properties. Although SUVmax showed raw p values less than 0.05 in correlation with HI (r = 0.315, raw p = 0.048) and TMB (r = 0.206, raw p = 0.043) in ADC, and SUVpeak had a raw p value less than 0.05 in correlation with HI (r = 0.394, raw p = 0.046) in SQCC, these parameters were not significant when corrected by FDR. CONCLUSIONS: In this study, surface SUV entropy had a significant correlation with HI in SCLC. Regarding other PET parameters and tumors, no significant correlation with genetic parameters existed.
PURPOSE: This study investigated the correlations between parameters of 18F-fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET) scan and indices of genetic properties, heterogeneity index (HI), and tumor mutation burden (TMB), in patients with lung cancer. METHODS: We produced 106 PET indices for each tumor site that underwent genomic analysis in a total of 176 study subjects (age, 62.0 ± 10.0 y; males, 68.2%), comprising 101 adenocarcinoma (ADC), 29 squamous cell carcinoma (SQCC), and 46 small cell lung cancer (SCLC) patients. We then examined the correlations of the PET parameters with genetic properties of HI and TMB, according to pathology and tumor site. RESULTS: Comparisons between PET parameters and the genetic properties with false discovery rate (FDR) correction revealed that the surface standard uptake value (SUV) entropy of SUV statistics had a significant correlation with HI only in patients with SCLC who underwent a genetic test in lymph nodes (r = 0.592, p = 0.028), whereas PET parameters did not show a significant correlation with HI or TMB in patients with SCLC who underwent a genetic test in lung tissue. In patients with ADC and SQCC, there was no significant correlation between PET parameters and the genetic properties. Although SUVmax showed raw p values less than 0.05 in correlation with HI (r = 0.315, raw p = 0.048) and TMB (r = 0.206, raw p = 0.043) in ADC, and SUVpeak had a raw p value less than 0.05 in correlation with HI (r = 0.394, raw p = 0.046) in SQCC, these parameters were not significant when corrected by FDR. CONCLUSIONS: In this study, surface SUV entropy had a significant correlation with HI in SCLC. Regarding other PET parameters and tumors, no significant correlation with genetic parameters existed.
Authors: Olivier Gevaert; Jiajing Xu; Chuong D Hoang; Ann N Leung; Yue Xu; Andrew Quon; Daniel L Rubin; Sandy Napel; Sylvia K Plevritis Journal: Radiology Date: 2012-06-21 Impact factor: 11.105
Authors: Christian Nicolaj Andreassen; Line Meinertz Hybel Schack; Louise Vagner Laursen; Jan Alsner Journal: Cancer Lett Date: 2016-01-28 Impact factor: 8.679
Authors: Andrea Sottoriva; Haeyoun Kang; Zhicheng Ma; Trevor A Graham; Matthew P Salomon; Junsong Zhao; Paul Marjoram; Kimberly Siegmund; Michael F Press; Darryl Shibata; Christina Curtis Journal: Nat Genet Date: 2015-02-09 Impact factor: 38.330
Authors: Attila Forgacs; Hermann Pall Jonsson; Magnus Dahlbom; Freddie Daver; Matthew D DiFranco; Gabor Opposits; Aron K Krizsan; Ildiko Garai; Johannes Czernin; Jozsef Varga; Lajos Tron; Laszlo Balkay Journal: PLoS One Date: 2016-10-13 Impact factor: 3.240
Authors: Jorge E Jimenez; Dong Dai; Guofan Xu; Ruiyang Zhao; Tengfei Li; Tinsu Pan; Linghua Wang; Yingyan Lin; Zhangyang Wang; David Jaffray; John D Hazle; Homer A Macapinlac; Jia Wu; Yang Lu Journal: Clin Nucl Med Date: 2022-03-01 Impact factor: 7.794