Peak of Standardized Uptake Value in Oral Cancer Predicts Survival Adjusting for Pathological Stage

Suzuki, Hitomi; Tamaki, Tsuneo; Nishio, Masami; Beppu, Shintaro; Mukoyama, Nobuaki; Hanai, Nobuhiro; Nishikawa, Daisuke; Koide, Yusuke; Hasegawa, Yasuhisa

doi:10.21873/invivo.11363

Cited by 9 publications

(23 citation statements)

References 15 publications

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“…All these, in addition to the immune-responsiveness studied here, are contributors to differential susceptibility of individual patients. These markers can potentially be correlated with information from the systemic recordings found in clinicopathological databases of the oral cancer patients for the prediction of prognosis outcomes, such as survival (30) and metastasis (31). Additional genotype-phenotype correlation studies can help in revealing the biological meanings of these genomic markers, extending our understanding of the etiology of each oral cancer patient, leading to personalized therapeutic options.…”

Section: Discussionmentioning

confidence: 99%

Interaction of Interleukin-16 Genotypes With Betel Quid Chewing Behavior on Oral Cancer in Taiwan

Shih

Chang

Lee

et al. 2020

In Vivo

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Background/Aim: Interleukin-16 (IL-16) is reported to play an important role in inflammation, carcinogenesis and tumoricidal processes, however, the contribution of IL-16 genotype to oral carcinogenesis is still largely unrevealed. Thus, the study aimed to investigate the contribution of IL-16 genotypes to Taiwan oral cancer risk. Materials and Methods: The genotypes of IL-16 rs4778889, rs11556218, and rs4072111 were revealed among 958 oral cancer cases and 958 control subjects by polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP). Results: First, the distributions of genotypic (p=0.0004) and allelic (p=0.0001) frequencies of IL-16 rs11556218 were significantly different between the case and control groups. In detail, the frequencies of IL-16 rs11556218 TG and GG were 28.1 and 5.8%, respectively, among oral cancer patients, significantly higher compared to those among controls (25.0% and 2.7%, respectively). Second, no difference was observed regarding IL-16 rs4778889 or IL-16 rs4072111. Last, there was a synergistic effect of betel quid chewing behavior and risky IL-16 rs11556218 genotype on oral cancer risk. Conclusion: The study indicates that the IL-16 rs11556218 G allele synergistically interacts with betel quid chewing behavior, contributing to increased risk of oral cancer in Taiwanese. From the viewpoint of epidemiology, oral cancer is the tenth most commonly diagnosed cancer worldwide, with the highest incidence density in Taiwan (1). According to the updated annual report from the Taiwan government, oral cancer is the fourth cause of cancer-related deaths among males in Taiwan and the fifth among all Taiwanese (2). For many years, betel quid chewing habit has been identified as the most effective environmental contributor to oral cancer risk for Taiwanese (3). Although the surgery, therapy and medical caring services for oral cancer have made rapid progress during the past decade, the prevalence and death rate of oral cancer are still very high in Taiwan. Thus, early detection and prediction biomarkers for oral cancer risk are in urgent need. Interleukin-16 (IL-16) is encoded by the IL-16 gene located on chromosome 15q26.3, composed of 631 amino acids and cleaved by caspase 3 to the active IL-16 protein, comprising the 121 amino acid C-terminal (4-6). IL-16 is in charge of activating several types of cells, including CD4+ T cells, monocytes, macrophages, eosinophils, and dendritic cells, and promotes the secretion of inflammatory cytokines, such as IL-1 (7), TNF-, and IL-15 (8). Interestingly, a 1759 This article is freely accessible online.

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Section: Discussionmentioning

confidence: 99%

Interaction of Interleukin-16 Genotypes With Betel Quid Chewing Behavior on Oral Cancer in Taiwan

Shih

Chang

Lee

et al. 2020

In Vivo

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Section: Discussionmentioning

confidence: 99%

“…11 A high SUVpeak in early-stage cervical cancer can reflect more aggressive lesions, can help predict prognosis, 27 and is a prognostic parameter of poor survival outcomes in patients with oral cancer. 28 Berg et al 9 showed that SUVmax and SUVmean were significantly lower in patients with CAH compared to those with grade 1 endometrial carcinoma (EECG1; P < .01), with AUCs of 0.87 and 0.97, respectively. By contrast, MTV did not significantly differ between CAH and EECG1 (P ¼ .1).…”

Section: Discussionmentioning

confidence: 99%

¹⁸F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma

Wang

Sun

Guo³

et al. 2019

Mol Imaging

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Objective: This study evaluated the metabolic parameters and texture features of fluorodeoxyglucose positron emission tomography–computed tomography (PET/CT) for the diagnosis and differentiation of endometrial atypical hyperplasia (EAH), EAH with field cancerization (FC), and stage 1A endometrial carcinoma (EC 1a). Materials and Methods: We retrospectively analyzed the metabolic parameters of PET/CT in 170 patients with diagnoses confirmed by pathology, including 57 cases of EAH (57/170, 33.53%), 45 cases of FC (45/170, 26.47%), and 68 cases of EC 1a (68/170, 40.0%). Then, the texture features of each tumor were extracted and compared with the metabolic parameters and pathological results using nonparametric tests and linear regression analysis. The diagnostic performance was assessed by the area under the curve (AUC) values obtained from receiver operating characteristic analysis. Results: There were moderate positive correlations between the PET standardized uptake values (SUVpeak, SUVmax, and SUVmean) and postoperative pathological features with correlation coefficients ( r s ) of 0.663, 0.651, and 0.651, respectively ( P < .001). Total lesion glycolysis showed relatively low correlation with pathological characteristics ( r s = 0.476), whereas metabolic tumor volume and age showed the weakest correlations ( r s = 0.186 and 0.232, respectively). To differentiate between the diagnosis of EAH and FC, SUVmax displayed the largest AUC of 0.857 (sensitivity, 82.2%; specificity, 84.2%). Five texture features were screened out as Percentile 40, Percentile 45, InverseDifferenceMoment_AllDirection_offset 1, InverseDifferenceMoment_angle 45_offset 4, and ClusterProminence_angle 135_offset 7 ( P < .001) by linear model of texture analysis (AUC = 0.851; specificity = 0.692; sensitivity = 0.871). To differentiate between the diagnoses of FC and EC 1a, SUVpeak displayed the largest AUC of 0.715 (sensitivity, 67.6%; specificity, 77.8%), and 2 texture features were identified as Percentile 10 and CP_angle 135_offset 7 (AUC = 0.819; specificity = 0.871; sensitivity = 0.766; P < .001). Conclusions: SUVmax and SUVpeak had the highest diagnostic values for EAH, FC, and EC 1a compared with the other tested parameters. SUVmax, Percentile 40, Percentile 45, InverseDifferenceMoment_AllDirection_offset 1, InverseDifferenceMoment_angle 45_offset 4, and ClusterProminence_angle 135_offset 7 distinguished EAH from FC. SUVpeak, Percentile 10, and ClusterProminence_angle 135_offset 7 distinguished FC from EC 1a. This study showed that the addition of texture features provides valuable information for differentiating EAH, FC, and EC 1a diagnoses.

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“…Regardless of subgroup or protocol, all these studies found that high levels of SUV before surgery or follow-up predicted adverse outcomes for patients with OSCC. Using the same tool, eight studies evaluated MTV and TLG alone or in combination with SUVmax ( 24 , 25 , 30 , 34 – 38 ), and some found that both MTV and TLG might be prognostic for the survival of patients with oral cancer.…”

Section: Resultsmentioning

confidence: 99%

“…For meta-analysis we included the data of 8 combined studies ( 25 , 27 , 29 , 31 , 33 , 34 , 37 , 38 ). The high SUVmax parameter was related to worse OS in OSCC (pooled HR=4.042, 95%CI: 2.573-6.348, z-value=6.063, P=0.000) ( Figure 2B ).…”

Section: Resultsmentioning

confidence: 99%

Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis

Mattos

Diel

Bittencourt

et al. 2021

Braz J Med Biol Res

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Molecular changes that affect mitochondrial glycolysis have been associated with the maintenance of tumor cells. Some metabolic factors have already been described as predictors of disease severity and outcomes. This systematic review was conducted to answer the question: Is the glycolytic pathway correlated with the prognosis of oral squamous cell carcinoma (OSCC)? A search strategy was developed to retrieve studies in English from PubMed, Scopus, and ISI Web of Science using keywords related to squamous cell carcinoma, survival, and glycolytic pathway, with no restriction of publication date. The search retrieved 1273 publications. After the titles and abstracts were analyzed, 27 studies met inclusion criteria. Studies were divided into groups according to two subtopics, glycolytic pathways and diagnosis, which describe the glycolytic profile of OSCC tumors. Several components of tumor energy metabolism found in this review are important predictors of survival of patients with OSCC.

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Peak of Standardized Uptake Value in Oral Cancer Predicts Survival Adjusting for Pathological Stage

Abstract: A higher p-SUVpeak on pretreatment F-FDG-PET/CT is a prognostic parameter of identifying lower survival outcomes.

Cited by 9 publications

References 15 publications

Interaction of Interleukin-16 Genotypes With Betel Quid Chewing Behavior on Oral Cancer in Taiwan

Interaction of Interleukin-16 Genotypes With Betel Quid Chewing Behavior on Oral Cancer in Taiwan

¹⁸F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma

Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis

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Peak of Standardized Uptake Value in Oral Cancer Predicts Survival Adjusting for Pathological Stage

Abstract: A higher p-SUVpeak on pretreatment F-FDG-PET/CT is a prognostic parameter of identifying lower survival outcomes.

Cited by 9 publications

References 15 publications

Interaction of Interleukin-16 Genotypes With Betel Quid Chewing Behavior on Oral Cancer in Taiwan

Interaction of Interleukin-16 Genotypes With Betel Quid Chewing Behavior on Oral Cancer in Taiwan

18F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma

Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis

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¹⁸F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma