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After cardiovascular illness, cancer is the one of the main and second cause of death in the worldwide. Despite significant advances in this field, low survival, drug resistance, and side effects of chemotherapy remain an unsolved problem. Due to the high mortality rate among cancer patients, finding the new substance to treatment with low side effects is important. Previous studies have been informed that positive effects of herbal medicines on cancer patients, which are very efficient in the treatment of cancer. Methods: In this study, the antitumor effect of ethanolic Terminalia catappa leaf extract (TCE) on MCF-7, MDA-231, and A549 cell lines was examined. For this reason, the effects of TCE on cell migration, gene expression, and growth were investigated by scratch, test, real-time PCR (qPCR) qPCR, and MTT tests respectively. Results: As a reported by the MTT outcomes, TCE significantly decreased the viability of A549, MCF-7, and MDA-231 cells (P < 0.05). Moreover, genes expression patterns that are related to proliferation (miR-21, miR-34a), migration (MMP-13, Vimentin), and apoptosis (Cas-3, Cas-8, Cas-9, Bcl-2, Bax) also have changed significantly after treatment with TCE. Also, in the A549 cell line, Bax (p value: 0.029), Cas-9 (p value: 0.00023), miR-34a (p value: 0.031), Bcl-2 (p value: 0.0076), MMP-13 (p value: 0.041), Cas-3 (p value: 0.00051) and in MCF-7 cell line Bax (p value: 0.0004), Cas-3 (p value: 0.0003), Cas-9(p value: 0.037), miR-34a (p value: 0.005), Bcl-2(pvalue:0.0007), mir-21(p value:0.016), MMP-13(p value: 0.011) and in MDA-231 cell line Bax(p value, This study was supported by a grant from research deputy of Department of Tuberculosis and Lung Diseases Research Center, University Tabriz University of Medical Sciences, Tabriz, Iran.

Different bioinformatic methods apply various approaches to predict how much the effect of a SNP could be deleterious and therefore their results may differ significantly. However, variation studies often need to consider an integrated prediction result to analyze the effect of SNPs. To address this problem, we used an algorithm to map ordinal predictions to a numeral space and averaging them, and based on it we developed the ISNPranker web-tool ( http://isnpranker.semilab.ir/ ). It takes heterogonous outputs of different predictors and generates integrated numerical predictions and ranks SNPs based on them. Afterward, we used ISNPranker to identify the most deleterious coding SNPs (cSNPs) of the human aryl hydrocarbon receptor (AHR) gene. AHR is a ligand-activated transcription factor that governs many molecular and cellular mechanisms and cSNPs may affect its structure, interactions, and function. Forty validated cSNPs of AHR were initially analyzed using 16 publicly available SNP analyzers and the results were introduced to the ISNPranker and integrated predictions were obtained. The cSNPs were ranked in 34 levels of danger and rs200257782 in the ARNT dimerization domain (ADD121-289) of AHR was identified as the most deleterious cSNP. The rs148360742, which affect ADD40-79 and Hsp90 binding domain (HBD27-79) was in the second rank and the third and fourth ranks were occupied by ADD121-289-located variations rs571123681 and rs141667112 respectively. In conclusion, we introduced ISNPranker, which is a web-tool for integrative ranking of SNPs, and we showed that AHR structure and function may be highly sensitive to the cSNPs in the ARNT dimerization domain.

The effects of hesperetin plus naringenin, orange juice and grapefruit juice on mRNA expression of TNF-α, TGF-β1 and TTF-1 in a house dust mite (HDM)-induced asthma animal model were investigated. Interventional mice exposed to HDM for 6 weeks received hesperetin plus naringenin, orange plus grapefruit juice, orange juice, grapefruit juice or water during the last 4 weeks, whereas non-asthmatic control mice consumed water. Lung tissue TNF-α and TGF-β1 expressions in supplemented groups were significantly reduced (p