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This assessment finds lncRNA-xloc-000303 significantly increased in tumor samples, suggesting potential as a biomarker for colorectal cancer diagnosis in patients.
Employing a panel of biomarkers may enable the early diagnosis of colorectal cancer. Among these biomarkers, long non-coding RNAs (LncRNAs) and microRNAs (miRNAs) are significant due to their crucial roles in biological and metabolic processes. Therefore, the objective of this research was to evaluate the diagnostic value of the biomarkers LncRNA-xloc-000303, lncRNA-LOC152578, and miR-29a in the pre-treatment stage of colorectal cancer in Iranian patients. In this study, 30 tumor tissue samples and 30 adjacent healthy tissue samples were collected, and RNA was extracted using the Trizol kit. Subsequently, the relative expression of the candidate microRNA and LncRNAs was analyzed using real-time PCR. The obtained gene expression data were then analyzed using REST software. In this study, it was found that the expression of LncRNA-xloc-000303 in tumor tissues significantly increased compared to healthy tissue (p < 0.001). Additionally, the analysis revealed that the expression level of lncRNA-LOC152578 showed an increase in tumor tissues compared to healthy tissues (p = 0.57), although these changes were not statistically significant. The results of the hsa-miR-29a expression analysis indicated a down regulation in tumor tissues compared to healthy tissues; however, this change was also not statistically significant (p = 0.34). The results indicated that the expression changes of LncRNA-xloc-000303 in cancer tissue were significant compared to adjacent healthy tissue, suggesting its potential use as a biomarker for diagnosing colorectal cancer. However, further studies are needed to evaluate the biomarker specificity of lncRNA-LOC152578 and hsa-miR-29a. This study was conducted in an Iranian population and its results can be used in the future for personalized medicine in the prevention and treatment of colorectal cancer.
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Tahami et al. (2025) studied this question.
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