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The decisive etiology of oral squamous cell carcinoma (OSCC) is still ambiguous, but we recognize the contribution of genetic aberration and environmental agents due to OSCC initiation. In the current study, we elucidate the potential impact of EGFR gene polymorphisms on the risk of OSCC in Southeast Iran.

Forty-eight OSCC patients along with 100 healthy volunteers were included. ARV-110 Three polymorphisms of the EGFR gene (rs2227983, rs2293347 and rs2227984) were genotype by Tetra-ARMS PCR. Data were analyzed with a chi-square test, and p<0.05 was considered significant.

In rs2227983, the frequency of AG and GG genotypes were 62.5%, 37.5% in cases and 42%, 57% in the control group (P=0.02, OR=2.3) and also A allele frequency was 31.3% in the case and 22% in control (P=0.08, OR=0.62). AG + AA genotype frequency was 62.5% and 43% in case and control, respectively (p=0.03, OR=2.2). In rs2227984 and rs2293347, no statistical differences showed in the distribution of genotypes between the case and control group. Also the majority of the OSCC belonged to grade I (43.8%).

The present investigation indicated that rs2227983 polymorphism might contribute to OSCC susceptibility in Iran's southeast population. Although, with the inconsistent interpretation mentioned due to the various geographical residencies and populations, more studies of significant populations are suggested to validate our findings.

The present investigation indicated that rs2227983 polymorphism might contribute to OSCC susceptibility in Iran's southeast population. Although, with the inconsistent interpretation mentioned due to the various geographical residencies and populations, more studies of significant populations are suggested to validate our findings.

Colorectal cancer (CRC) is considered the fourth type of cancer that causes death worldwide. Changes in the levels of zinc (Zn), copper (Cu), and selenium (Se) as well as low glutathione peroxidase (GPx) activity can lead to CRC and this study was aimed to evaluate their possible use as diagnostic markers.

CRC patients (n=90) were divided into three groups; newly diagnosed, before surgery, and after surgery. These groups were compared to healthy subjects (n=30); the mean age ±SD was 50.63±9.26 and 49.97±10.85 for CRC patients and healthy subjects, respectively. Biochemical study for serum levels of Zn and Cu was measured by FAAS, Se was measured by HGAAS, and ELISA for GPx.

Zn, Cu, Se and GPx were significantly lower in all CRC patient groups, except for the after surgery group which showed no differences for Zn and GPx as compared to the healthy subjects. Positive correlations were found between Se and Zn and between Se and GPx (r=0.71, r=0.42; P<0.01, respectively) in all CRC patient groups. Areceiver operating characteristic (ROC) curve analysis was applied for the newly diagnostic group showing all the parameters that can be used as diagnostic markers for CRC.

The present results conclude that Zn, Cu Se, and GPx can be used as diagnostic markers for CRC, where the decrease of these parameters may be associated with an increased risk of CRC and as indicators of the response to therapy.

The present results conclude that Zn, Cu Se, and GPx can be used as diagnostic markers for CRC, where the decrease of these parameters may be associated with an increased risk of CRC and as indicators of the response to therapy.

Asphyxia is one of the main causes of infant mortality and long-term neurologic complications. This cohort study was aimed to compare the diagnostic value of the hematologic and biochemical factors in the prediction of prognosis of asphyxia according to the high prevalence of asphyxia and its complications.

In this cohort with a two-year follow-up study with availability sampling, 196 term asphyxic infants were involved from 2009 to 2018. A researcher-designed questionnaire was used as the data collection tool containing infantile and maternal particulars as well as the clinical and laboratory assessments. Serum levels of interleukin-1β(IL-1β), IL-6, pro-oxidant/antioxidant balance (PAB), heat shock protein (HSP) and nucleated red blood cells (NRBC) were checked in infants with perinatal asphyxia. Denver II developmental screening test (DDST-II) was performed at 6, 12, 18, and 24 month post-discharge follow-up visits. Data analysis for comparison of infants with normal and abnormal outcomes was performed using student t- test, chi-square, ROC curve, and regression models.

IL-6, IL-1β, PAB, and NRBC count are among the most important predictors of abnormal complications in asphyxic newborns. PAB>22 (HK) showed sensitivity and specificity of 88.6% and 71.6%, respectively in the prediction of complications of asphyxia. The sensitivity and specificity of an IL-6 higher than 28 (pg/mL) in the prediction of complications of asphyxia were found to be 96.1% and 78.6%, respectively. Elevated levels of IL-6 and IL-1β were associated with increased unfavorable outcomes.

Combinations of IL-1β+ IL-6 + NRBC; IL-6 + HIE grade + PAB; and IL-6+ HIE grade + NRBC had the highest predictive value (100%) for prognosis of asphyxic infants.

Combinations of IL-1β+ IL-6 + NRBC; IL-6 + HIE grade + PAB; and IL-6+ HIE grade + NRBC had the highest predictive value (100%) for prognosis of asphyxic infants.

Cardiometabolic syndrome indicates the clustering of several risk factors. The aims of this study were to identify the subgroups of the Iranian children and adolescents on the basis of the components of the cardio-metabolic syndrome and assess the role of demographic characteristics, socioeconomic status and lifestyle-related behaviors on the membership of participants in each latent class.

This cross-sectional study was performed on 3730 Iranian students in 2015 using stratified cluster. All students in each class completed anonymous and structured questionnaires. Abdominal obesity, high triglyceride (TG), low high-density lipoprotein (HDL), high blood pressure (BP), high fasting blood sugar (FBS), high low-density lipoprotein (LDL), high cholesterol and obesity were used for assessing the pattern of cardio metabolic risk as a latent variable. Data analysis was performed using PROC LCA in SAS software.

Four latent classes were identified in this study; namely 1) healthy (59.6%), 2) low risk (20.4%), 3) moderate risk (13.