Background and Objective: Tumor size results in hypoxic and acidic environment leading to the production of several types of growth factors required for the formation of blood vessels. Afterwards, metastasis of cancerous cells occurs via blood vessels. Therefore angiogenesis inhibition can be a new way of cancer treatment. This study was done to determine the bioinformatics analysis to predict potential Micro-RNAs inhibiting processes of angiogenesis in cancer.

Methods: In this descriptive study, micro-RNAs that are able to connect to MMP genes involved in tumor angiogenesis (MMP1-2-3-8-9-10-11-13) were detected using miRwalk database. Effective Micro-RNAs selection was based on the number of binding sites in 3'UTR genes. MicroRNA data base was used to find sample base pairing sequences.

Results: mir-1302, mir-516a, mir-512, mir-511, mir-516b and mir-548 were determined with the most number of binding sites in genes involved in angiogenesis.

Conclusion: MicroRNAs are worthy options for cell culture and laboratory examination in order to find new ways to prevent the development of cancer by angiogenesis inhibition.

Background and Objective: Micro-ribonucleic acids (microRNAs) have introduced a new field in the molecular diagnosis of cancer. However, the role of circulating microRNAs in the plasma/serum of colorectal cancer patients is still unclear. This study was conducted to determine the expression of let-7d microRNA in patients with colorectal cancer.
Methods: This case-control study was conducted on 40 patients with colorectal cancer and 40 healthy people. In this study, 7 mL blood samples were collected from patients with colorectal cancer (both before and after tumor resection) and healthy individuals (only once). The serum samples were isolated and stored at - 80°C until molecular analysis. MicroRNAs were extracted from serum samples, and cDNA was synthesized. Let-7d expression was examined using the RT-qPCR method. Data were analyzed using GraphPad Prism v. 9 software. The receiver operating characteristic (ROC) curve analysis, sensitivity, and specificity were also calculated for the let-7d microRNA data to introduce a diagnostic biomarker between the preoperative patient group and the control group.
Results: In the preoperative samples of the patients, the expression of let-7d microRNA was significantly lower than that of the control group (P˂0.05). The expression of let-7d microRNA significantly increased after tumor resection compared to before. The ROC analysis for let-7d microRNA in the preoperative patient group with the control group showed that the sensitivity was 33.3%, specificity was 92.3%, and the area under the curve (AUC) was 0.622.
Conclusion: Let-7d microRNA could potentially serve as a new noninvasive diagnostic biomarker for the early detection of colorectal cancer. However, further studies are required on this subject.