DOI: 10.1007/s00259-018-4138-5Pages: 1-9

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

1. Samsung Medical Center, Department of Nuclear Medicine and Molecular Imaging

2. Samsung Medical Center, Samsung Genome Institute

3. Sungkyunkwan University, Department of Health Sciences and Technology, SAIHST

4. Sungkyunkwan University School of Medicine, Samsung Genome Institute, Samsung Medical Center, Samsung Advanced Institute of Health Science and Technology, Department of Molecular Cell Biology

5. Sungkyunkwan University School of Medicine, Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center

Correspondence to:
Se-Hoon Lee
Tel: +82-2-3410-2624
Email: sehoon.lee@samsung.com

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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.

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  • Accepted: Aug 16, 2018
  • Online: Aug 25, 2018

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