Clinical significance of CD166 and HER-2 in different types of gastric cancer.

INTRODUCTION: Cluster of differentiation 166 (CD166), a cancer stem cell (CSC) marker, and human epidermal growth factor receptor 2 (HER-2) are expressed in a diversity of malignancies and is associated with tumor progression. Although studies regarding the importance of CSC markers and HER-2 in gastric cancer (GC) have rapidly developed, their clinicopathological, prognosis, and diagnosis value still remain unsatisfying in GC. Therefore, the present study aims to investigate the clinical, prognostic, and diagnostic significance of CD166 and HER-2 in different histological types of GC. MATERIALS AND METHODS: Bioinformatic analysis was applied to determine the clinical importance of CD166 and HER-2 expression based on their tissue localization in primary GC tumors and the normal adjacent samples. The expression patterns, clinical significance, prognosis, and diagnosis value of CD166 and HER-2 proteins in tissue microarrays (TMAs) of 206 GC samples, including Signet Ring Cell (SRC) and intestinal types and also 28 adjacent normal tissues were evaluated using immunohistochemistry (IHC). RESULTS: The results indicated that the expression of CD166 (membranous and cytoplasmic) and HER-2 were significantly up-regulated in tumor cells compared to adjacent normal tissues (P = 0.010, P < 0.001, and P = 0.011, respectively). A statistically significant association was detected between a high level of membranous expression of CD166 and lymphovascular invasion (P = 0.006); We also observed a statistically significant association between high cytoplasmic expression of CD166 protein and more invasion of the subserosa (P = 0.040) in the SRC type. In contrast, there was no correlation between the expression of HER-2 and clinicopathologic characteristics. Both CD166 and HER-2 showed reasonable accuracy and high specificity as diagnostic markers. CONCLUSION: Our results confirmed that increased membranous and cytoplasmic expression of CD166 showed clinical significance in the SRC type and is associated with the progression of the disease and more aggressive tumor behaviors. These findings can be used to assist in designating subgroups of patients that require different follow-up strategies, and also, they might be utilized as the prognostic or diagnostic biomarkers in these types of GC for prospective clinical application.

Associations between new and old anthropometric indices with type 2 diabetes mellitus and risk of metabolic complications: a cross-sectional analytical study.

BACKGROUND: Obesity can increase the risk of diabetes mellitus and complications associated with it. OBJECTIVES: The aim of this study was to estimate the associations between new and old anthropometric indices and the risk of type 2 diabetes mellitus (T2DM) and its metabolic complications. METHODS: In this cross-sectional analytical study, 110 T2DM subjects and 110 healthy controls were selected by convenience sampling. Metabolic factors were evaluated including the atherogenic index of plasma (AIP), glycemic status, lipid profile, blood pressure, kidney indices, new anthropometric indices (abdominal volume index [AVI], body shape index [ABSI], lipid accumulation product [LAP], body adiposity index [BAI], and conicity index [CI]), and old anthropometric indices (weight, body mass index [BMI], and waist and hip circumference [WC and HC]). RESULTS: Significant positive correlations were observed between AVI, LAP, and BAI and fasting blood glucose and HbA1c in the T2DM group (p < 0.001 for all associations). The odds ratio (OR) for T2DM elevated significantly with increasing BMI (OR: 1.30, 95% CI: 1.20-1.42), LAP (OR: 1.20, 95% CI: 1.13-1.27), and BAI (OR: 1.32, 95% CI: 1.21-1.43). The indices AVI (OR: 1.90, 95% CI: 1.57-2.29), LAP (OR: 1.19, 95% CI: 1.13-1.27), BAI (OR: 1.19, 95% CI: 1.12-1.26), WC (OR: 1.29, 95% CI: 1.18, 1.42), and HC (OR: 1.07, 95% CI: 1.01, 1.14) significantly increased the risk of metabolic syndrome (MetS). CONCLUSIONS: Associations were identified between obesity indices and diabetes. These indices could be used in clinical practice for evaluation and control of T2DM.

CONTEXTO: A obesidade pode aumentar o risco de diabetes melito e complicações associadas. OBJETIVOS: O objetivo deste estudo foi estimar a associação de índices antropométricos novos e antigos com o risco de diabetes melito tipo 2 (DM2) e suas complicações metabólicas. MÉTODOS: Neste estudo analítico transversal, 110 indivíduos com DM2 e 110 controles saudáveis foram selecionados por amostragem de conveniência. Foram avaliados os fatores metabólicos, incluindo índice aterogênico plasmático, estado glicêmico, perfil lipídico, pressão arterial, índices renais, índices antropométricos novos [índice de volume abdominal (AVI), índice de formato corporal (ABSI), produto de acumulação lipídica (LAP), índice de adiposidade corporal (BAI) e índice de conicidade (CI)] e índices antropométricos antigos [peso, índice de massa corporal (IMC), circunferência de cintura e quadril]. RESULTADOS: Foi observada uma correlação positiva significativa de AVI, LAP e BAI com glicemia de jejum e hemoglobina glicada no grupo DM2 (p para todos < 0,001). A odds ratio (OR) do grupo DM2 foi significativamente elevada com aumento de IMC [OR: 1,30, intervalo de confiança (IC) de 95%: 1,20-1,42], LAP (OR: 1,20, IC95%: 1,13-1,27) e BAI (OR: 1,32, IC95%: 1,21-1,43). Os índices AVI (OR: 1,90, IC95%: 1,57-2,29), LAP (OR: 1,19, IC95%: 1,13-1,27), BAI (OR: 1,19, IC95%: 1,12-1,26), WC (OR: 1,29, IC95%: 1,18-1,42) e HC (OR: 1,07, IC95%: 1,01-1,14) aumentaram significativamente o risco de síndrome metabólica. CONCLUSÕES: Foi reconhecida uma associação entre índices de obesidade e diabetes. Esses índices podem ser usados na prática clínica para avaliação e controle do DM2.

Associations between new and old anthropometric indices with type 2 diabetes mellitus and risk of metabolic complications: a cross-sectional analytical study / Associação de índices antropométricos novos e antigos com diabetes melito tipo 2 e risco de complicações metabólicas: um estudo analítico de corte transversal

Abstract Background Obesity can increase the risk of diabetes mellitus and complications associated with it. Objectives The aim of this study was to estimate the associations between new and old anthropometric indices and the risk of type 2 diabetes mellitus (T2DM) and its metabolic complications. Methods In this cross-sectional analytical study, 110 T2DM subjects and 110 healthy controls were selected by convenience sampling. Metabolic factors were evaluated including the atherogenic index of plasma (AIP), glycemic status, lipid profile, blood pressure, kidney indices, new anthropometric indices (abdominal volume index [AVI], body shape index [ABSI], lipid accumulation product [LAP], body adiposity index [BAI], and conicity index [CI]), and old anthropometric indices (weight, body mass index [BMI], and waist and hip circumference [WC and HC]). Results Significant positive correlations were observed between AVI, LAP, and BAI and fasting blood glucose and HbA1c in the T2DM group (p < 0.001 for all associations). The odds ratio (OR) for T2DM elevated significantly with increasing BMI (OR: 1.30, 95% CI: 1.20-1.42), LAP (OR: 1.20, 95% CI: 1.13-1.27), and BAI (OR: 1.32, 95% CI: 1.21-1.43). The indices AVI (OR: 1.90, 95% CI: 1.57-2.29), LAP (OR: 1.19, 95% CI: 1.13-1.27), BAI (OR: 1.19, 95% CI: 1.12-1.26), WC (OR: 1.29, 95% CI: 1.18, 1.42), and HC (OR: 1.07, 95% CI: 1.01, 1.14) significantly increased the risk of metabolic syndrome (MetS). Conclusions Associations were identified between obesity indices and diabetes. These indices could be used in clinical practice for evaluation and control of T2DM.

Resumo Contexto A obesidade pode aumentar o risco de diabetes melito e complicações associadas. Objetivos O objetivo deste estudo foi estimar a associação de índices antropométricos novos e antigos com o risco de diabetes melito tipo 2 (DM2) e suas complicações metabólicas. Métodos Neste estudo analítico transversal, 110 indivíduos com DM2 e 110 controles saudáveis foram selecionados por amostragem de conveniência. Foram avaliados os fatores metabólicos, incluindo índice aterogênico plasmático, estado glicêmico, perfil lipídico, pressão arterial, índices renais, índices antropométricos novos [índice de volume abdominal (AVI), índice de formato corporal (ABSI), produto de acumulação lipídica (LAP), índice de adiposidade corporal (BAI) e índice de conicidade (CI)] e índices antropométricos antigos [peso, índice de massa corporal (IMC), circunferência de cintura e quadril]. Resultados Foi observada uma correlação positiva significativa de AVI, LAP e BAI com glicemia de jejum e hemoglobina glicada no grupo DM2 (p para todos < 0,001). A odds ratio (OR) do grupo DM2 foi significativamente elevada com aumento de IMC [OR: 1,30, intervalo de confiança (IC) de 95%: 1,20-1,42], LAP (OR: 1,20, IC95%: 1,13-1,27) e BAI (OR: 1,32, IC95%: 1,21-1,43). Os índices AVI (OR: 1,90, IC95%: 1,57-2,29), LAP (OR: 1,19, IC95%: 1,13-1,27), BAI (OR: 1,19, IC95%: 1,12-1,26), WC (OR: 1,29, IC95%: 1,18-1,42) e HC (OR: 1,07, IC95%: 1,01-1,14) aumentaram significativamente o risco de síndrome metabólica. Conclusões Foi reconhecida uma associação entre índices de obesidade e diabetes. Esses índices podem ser usados na prática clínica para avaliação e controle do DM2.