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Introduction: Studies show that some of the factors such as pain and psychological changes could decrease the quality of life of patients with cancer. The understanding of these factors can enhance the effectiveness and process of cancer treatment. Therefore this study was conducted to investigate the quality of life in women with cancer and its influencing factors. Methods: This was a cross-sectional study which was carried out in the city of Tabriz in the northwestern part of Iran in 2016. The sample consisted of 150 women diagnosed with cancer. The EORTC QLQ-C30 (version 3) was used for evaluating the quality of life of the women. The collected data were analyzed in the SPSS ver. 13 using descriptive and inferential statistics. Also, t-test and ANOVA test were applied to investigate the correlation between the dimensions of quality of life and socio-demographic variables. P < 0.05 denoted as statistically significant. Results: The results showed that the quality of life in the function and symptoms dimensions were in acceptable levels. In the function dimension, the highest and lowest scores belonged to the cognitive and emotional domains, respectively. Also, those women who had the symptoms of insomnia and fatigue, and reported the pressure due to financial burden of cancer treatment had a significantly lower quality of life. A low score was reported in general health dimension. No statistically significant relationships were reported between the socio-demographic characteristics and the women’s quality of life and its dimensions. Conclusion: Since sleeplessness and fatigue reduce the quality of life in women with cancer, nursing interventions are required to relieve cancer-related symptoms. The financial burden of cancer treatment is high. Therefore, governmental and insurance agencies should help with the costs paid by the patients and prevent from reducing their quality of life.

The abnormal expression of microRNAs (miRNAs) plays a key role in colorectal cancer (CRC). The present study attempted to identify the potential miRNA biomarkers of CRC due to the important role of microRNAs within the DLK1-DIO3 genomic region, especially the role of mir-411-5p in other cancers. This prospective study characterized the contribution of mir-411-5p to CRC tumorigenesis. The Real-time quantitative reverse-transcription –polymerase chain reaction was used to examine miR-411-5p expression levels prospectively in 40 pairs of samples of CRC tissues and adjacent noncancerous tissues (>2 cm from cancer tissue). Also, the relationship between miR-411-5p expression levels and clinicopathological characteristics was explored. The capability of miR-411-5p to function as a tumor marker in CRC was also examined. MiR-411-5p was significantly downregulated in a group of CRC samples compared with matched noncancerous tissues. A receiver operating characteristic (ROC) curve also showed ROC area of 68% for miR-411-5p (P value=0.006) with 70% and 65% sensitivity and specificity, respectively. According to the survey results, miR-411-5p might be considered as a tumor marker in CRC and it might be a promising therapeutic option which may help prevent CRC.

MicroRNAs (miRNAs) are impressive regulators of gene expression that have a critical role in the pathogenesis of colorectal cancer (CRC). With respect to the aberrant expression of miRNA-383 (miR-383) in some types of human malignancy, this prospective study characterized its contribution to CRC tumorigenesis. The real-time reverse transcriptionpolymerase chain reaction was used to examine miR-383 expression levels prospectively in 40 sample pairs of CRC tissues and adjacent noncancerous tissues (>2 cm from cancer tissue). No significant relationship was found between miR-383 expression levels and clinicopathological features. The ability of miR-383 to function as a tumor marker was also examined. Showing significant changes overall, miR-383 expression levels were significantly down regulated in the group of CRC samples compared with matched noncancerous tissue samples. A receiver-operating characteristic (ROC) curve also showed ROC area of 70% for miR-383 with 68 and 75% sensitivity and specificity, respectively. Therefore, miR-383 can be considered as a tumor marker in CRC and help as a potential predictive biomarker in the diagnosis of colorectal cancer.