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Eur J Nucl Med Mol Imaging. 2019 Feb;46(2):446-454. doi: 10.1007/s00259-018-4138-5. Epub 2018 Aug 25.

Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer.

Author information

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.

KEYWORDS:

18F-fluorodeoxyglucose (FDG); Genetic heterogeneity; Imaging genomics; Positron emission tomography (PET); Tumor mutation burden

PMID:
30145701
DOI:
10.1007/s00259-018-4138-5
[Indexed for MEDLINE]

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