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Treatment of cancer has recently become a main topic for researchers. The rate of this disease is extremely high. Recently, about 14.1 million new cases of cancer occurred globally. It caused about 8.2 million deaths of all human deaths. Chrysin has been the subject of many studies due to its anticancer activity and has an overexpressing effect on eIF4E. The expression of eIF4E is regularly observed in different types of cancer, making eIF4E an attractive target for anticancer drugs. Our results indicated important molecular mechanisms involved in the chrysin anticancer activity. We hope this review help to develop ways of improving the effectiveness of chrysin in the treatment of gastric and other human cancers. [ABSTRACT FROM AUTHOR]

Objective: Recent data suggest that increased levels of the HOTAIR long non-coding RNA (lncRNA) are involved in the development of various types of malignancy, including breast cancer. The aim of present study was to investigate HOTAIR lncRNA expression profile in breast cancer (BC) patients and cell lines. Materials and Methods: In this experimental study, expression level of HOTAIR lncRNA was evaluated in BC and normal tissues of 15 patients as well as MDA-MB-231, MCF-7 and MCF-10A cell lines, using quantitative reversetranscription polymerase chain reaction (qRT-PCR). HOTAIR lncRNA expression levels were estimated using 2-ΔΔCt method. Further, receiver operating characteristic (ROC) curve analysis was done to evaluate the selected lncRNA diagnostic potential. The Cox's proportional hazards regression model was performed to evaluate the predictive value of this lncRNA level in BC patients. Results: The results of present study demonstrated no significant difference in the expression of HOTAIR lncRNA in MCF7 and MDA-MB-231 cancer cell lines compared to MCF-10A as normal cell line (P>0.05). However, we observed a significantly increase in the expression of HOTAIR in BC patients compared to normal tissues (P<0.001). Significant associations were found between gene expression and tumour size and margin. We found 91.1% sensitivity and 95.7% specificity of circulating HOTAIR with an area under the ROC curve of 0.969. The Kaplan-Meier analysis indicated significant correlation between HOTAIR expression and overall survival. Conclusion: This study demonstrated that expression of HOTAIR is increased in BC and might be associated with its progression. According to these findings, HOTAIR expression could be proposed as biomarkers for BC early diagnosis and prognosis. Objective: Recent data suggest that increased levels of the HOTAIR long non-coding RNA (lncRNA) are involved in the development of various types of malignancy, including breast cancer. The aim of present study was to investigate HOTAIR lncRNA expression profile in breast cancer (BC) patients and cell lines. Materials and Methods: In this experimental study, expression level of HOTAIR lncRNA was evaluated in BC and normal tissues of 15 patients as well as MDA-MB-231, MCF-7 and MCF-10A cell lines, using quantitative reversetranscription polymerase chain reaction (qRT-PCR). HOTAIR lncRNA expression levels were estimated using 2-ΔΔCt method. Further, receiver operating characteristic (ROC) curve analysis was done to evaluate the selected lncRNA diagnostic potential. The Cox's proportional hazards regression model was performed to evaluate the predictive value of this lncRNA level in BC patients. Results: The results of present study demonstrated no significant difference in the expression of HOTAIR lncRNA in MCF7 and MDA-MB-231 cancer cell lines compared to MCF-10A as normal cell line (P>0.05). However, we observed a significantly increase in the expression of HOTAIR in BC patients compared to normal tissues (P<0.001). Significant associations were found between gene expression and tumour size and margin. We found 91.1% sensitivity and 95.7% specificity of circulating HOTAIR with an area under the ROC curve of 0.969. The Kaplan-Meier analysis indicated significant correlation between HOTAIR expression and overall survival. Conclusion: This study demonstrated that expression of HOTAIR is increased in BC and might be associated with its progression. According to these findings, HOTAIR expression could be proposed as biomarkers for BC early diagnosis and prognosis. [ABSTRACT FROM AUTHOR]