Implications of Standardized Uptake Values of Oral Squamous Cell Carcinoma in PET-CT on Prognosis, Tumor Characteristics and Mitochondrial DNA Heteroplasmy

• Main Authors: Lukas Latzko, Bernd Schöpf, Hansi Weissensteiner, Federica Fazzini, Liane Fendt, Eberhard Steiner, Emanuel Bruckmoser, Georg Schäfer, Roy-Cesar Moncayo, Helmut Klocker, Johannes Laimer
• Format: Article
• Language: English
• Published: MDPI AG 2021-05-01
• Series: Cancers
• Subjects: oral squamous cell carcinoma; ¹⁸[F]FDG-PET-CT; standardized uptake values; mitochondrial DNA heteroplasmy
• Online Access: https://www.mdpi.com/2072-6694/13/9/2273

Under aerobic conditions, some cancers switch to glycolysis to cover their energy requirements. Taking advantage of this process, functional imaging techniques such as PET-CT can be used to detect and assess tumorous tissues. The aim of this study was to investigate standardized uptake values and mitochondrial DNA mutations in oral squamous cell carcinoma. A cohort of 57 patients underwent ¹⁸[F]FDG-PET-CT and standardized uptake values were collected. In 15 patients, data on mitochondrial DNA mutations of the tumor were available. Kaplan–Meier curves were calculated, and correlation analyses as well as univariate Cox proportional hazard models were performed. Using ROC analysis to determine a statistical threshold for SUVmax in PET investigations, a cut-off value was determined at 9.765 MB/mL. Survival analysis for SUVmax in these groups showed a Hazard Ratio of 4 (95% CI 1.7–9) in the high SUVmax group with 5-year survival rates of 23.5% (<i>p</i> = 0.00042). For SUVmax and clinicopathological tumor features, significant correlations were found. A tendency towards higher mtDNA heteroplasmy levels in high SUVmax groups could be observed. We were able to confirm the prognostic value of SUVmax in OSCC, showing higher survival rates at lower SUVmax levels. Correlations between SUVmax and distinct tumor characteristics were highly significant, providing evidence that SUVmax may act as a reliable diagnostic parameter. Correlation analysis of mtDNA mutations suggests an influence on metabolic activity in OSCC.