Gastric and esophageal cancers are as main cancers of the gastrointestinal (GI) tract, which are associated with poor diagnosis and survival. Several efforts were made in the past few decades to finding effective therapeutic approaches, but these approaches had several problems. Finding new biomarkers is a critical step in finding new approaches for the treatment of these cancers. Finding new biomarkers that cover various aspects of the diseases could provide a choice of suitable therapies and better monitoring of patients with these cancers. Among several biomarkers tissue specific and circulating microRNAs (miRNAs) have emerged as powerful candidates in the diagnosis of gastric and esophageal cancers. MiRNAs are small noncoding single-stranded RNA molecules that are found in the blood and regulate gene expression. These have numerous characteristics that make them suitable for being used as ideal biomarkers in cancer diagnosis. Research has indicated that the level and profile of miRNA in serum and plasma are very high. They are potentially noninvasive and sensitive enough to detect tumors in their primary stages of infection. Multiple lines of evidence indicate that the presence, absence, or deregulation of several circulating miRNAs (i.e., let-7a, miR-21, miR-93, miR-192a, miR-18a, and miR-10b for gastric cancer, and miR-21, miR-375, miR-25-3p, miR-151a-3p, and miR-100-3p for esophageal cancer) are associated with initiation and progression of gastric and esophageal cancers. The aim of this review is to highlight the recent advances in the roles of miRNAs in diagnosis and treatment of gastric and esophageal cancers.

The Coronavirus infectious disease 2019 (COVID-19) has recently emerged as a pandemic and has endangered the lives of thousands of people worldwide. No specific treatment has been identified so far. However, the identification of diagnostic and prognostic factors in patients can be valuable for the application of preventive strategies. Increased platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), prothrombin time (PT), and D-dimer indices have been found in patients with increased inflammation and thrombosis and can lead to heart disease. Also, an increase in these indices is accompanied by worsening of the disease and impairment of the respiratory tract, which necessitates ventilation for the patients eventually. The evaluation of NLR, PLR, and coagulation parameters can be useful for identifying high-risk individuals who need to be intubated. Patient survival will improve by the timely identification and the use of appropriate treatment strategies.

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miRNAs play an important regulatory role in variety of cellular functions and several diseases, including cancer. MicroRNA-21 (miR-21) is overexpressed in almost all types of human cancers. Studies revealed that the knockdown of miR-21 results in reduced tumor cell growth, cell cycle arrest and cell apoptosis. In this study, we evaluated the effect of doxorubicin on miR-21 expression in mcf-7 breast cancer cells. miRNA was extracted from mcf-7 cells treated with doxorubicin and untreated cells using miRNeasy Kit (Qiagen) according to the manufacturer's instructions. cDNA synthesis was performed using mi-Script II RT Kit (Qiagen) and Real Time-PCR was performed using Real Q Plus 2x Master Mix Green-(Ampliqon, Denmark). The relative expression of miR-16 and miR-21 was calculated using comparative Ct method. All tests were run in triplicate to minimize the experimental errors. Samples with a Ct > 37 were excluded from the analysis. Statistically, a significant decrease in cell proliferation of mcf-7 cells was found in doxorubicin group compared with control groups 24 hours after transfection, dose dependently (p value< 0.001). After 24 hours, Doxorubicin (100 µm) significantly decreased miR-21 expression in mcf-7 cells (p = 0.

Patients with type 2 diabetes have high levels of malondialdehyde (MDA), and clinical data suggest a reducing effect of rosiglitazone (RSG) on the level of MDA in these patients. However, the results of available studies on the level of MDA in RSG-treated patients are not univocal. This meta-analysis aimed to assess the impact of RSG on the level of MDA. We performed a comprehensive search of PubMed, the Institute for Scientific Information Web of Science, Embase, Scopus, and Cochrane Library for related controlled trials until July 2020. Eligible studies were selected based on the inclusion criteria. Extracted data from each study were combined using a random-effects model. Sensitivity and subgroup analyses were conducted to explore potential heterogeneity. Eight trials with 456 subjects met the inclusion criteria. The results significantly showed the reducing effect of RSG on circulating MDA level (−0.47 μmol/mL; 95% CI −0.93 to −0.01; p=0.04; I2=82.1%; p heterogeneity=0.00) in individuals with T2D. No publication bias was observed with Begg’s rank correlation (p=0.71) and Egger’s linear regression (p=0.52) tests. Subgroup analyses showed that an intervention dose of 8 mg/day in serum samples was found to have a reducing effect on the level of MDA (−0.56 μmol/mL; 95% CI −0.98 to −0.14; p=0.008; I2=11.4%; p heterogeneity=0.32). Random-effects meta-regression did not show any significant association between the level of MDA and potential confounders including RSG dose, treatment duration, and sex. In conclusion, we found a significant reduction in MDA concentration in subjects with T2D who received a dose of 8 mg of RSG daily.

Gastric cancer affects millions of people each year; it is the fifth deadliest cancer globally. Due to failure to perform routine tests such as endoscopy, it is usually diagnosed in the invasive stages. Therefore, finding diagnostic biomarkers in blood can help to speed up the initial diagnosis of cancer. This study aimed to find appropriate diagnostic biomarkers in the extracellular matrix of noninvasive to invasive stages of gastric cancer patients, using bioinformatics analysis. First, we selected the appropriate datasets from the GEO database. We evaluated the genes’ signaling pathways, biological processes, and molecular functions. More accurately, we assessed the genes, in which their protein products are released into the extracellular matrix; we evaluated their protein network. Then, we validated the candidate proteins in the GEPIA and TCGA databases. The extracellular matrix, tyrosine kinase receptors, and immune response pathways are effective factors, which are related to the highly expressed genes and metabolism; cell cycle pathways are also impressive on low-expression genes. 69 highly expressed proteins are released into the extracellular matrix. After drawing the protein network, 5 proteins were selected as more suitable candidates for further studies. These proteins’ expression significantly increases in the human samples, and the survival chart showed up to about 80% mortality in the individuals over time. With integrated bioinformatics analysis, BGN, LOX, MMP-9, SERPINE1, and TGFB1 proteins have been selected as suitable diagnostic biomarkers for noninvasive to invasive stages of gastric cancer. Further studies are needed to evaluate more precise mechanisms between these proteins.

Introduction: Breast cancer is the most common cancer in the Iranian female population, and the incidence of the disease is rising. Early detection in association with staging or grading the tumor is the most effective method to increase survival rates. Studies have revealed that cortactin overexpression may play a role in the final stages of tumor progression and affects invasion and cellular motility. The aim of this study is to evaluate cortactin gene expression among Iranian female patients with breast cancer. Materials and Methods: Samples belonging to 70 breast cancer patients were randomly selected from the Imam Khomeini tumor bank. Normal and tumor tissues were prepared and stored at −80˚C. Cortactin gene expression was evaluated by real-time PCR. Finally the data, along with demographic and clinical parameters, were analyzed using Prism 5.0 software, followed by t-test and ANOVA analysis. Results: Cortactin gene expression among tumor tissues increased 95.71% in comparison with normal tissues. A significant correlation between cortactin gene expression and lymph nodes' involvement (P = 0.0077) and tumor stage (P = 0.0030) was observed. However, tumor grade (P = 0.8598), tumor size (P = 0.3058), and patient's age (P = 0.4135) had no significant correlation with the gene's expression level. Discussion: This study demonstrated that the cortactin gene's overexpression in breast cancer may enhance lymph nodes' involvement. This study also found that the gene's expression was raised significantly in progressed stages of the cancer. Therefore, cortactin gene overexpression is an important factor indicating breast cells' invasion. Conclusion: The cortactin gene's expression level can be considered an accurate indicator for female breast cancer and also an appropriate biomarker for this cancer in clinical evaluations.

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