Scholars Webinar on: The Role of New Technologies

Drug Discovery, Development and Lead Optimization

THEME: "Experimental Challenges in Studies of Drug Discovery, Development and Lead Optimization"

img2 24-25 Mar 2021
img2 Webinar | Online | 11:00-17:00 GMT
Masoumeh Massah

Masoumeh Massah

Islamic Azad University Najafabad, Iran

Title: Bioinformatics study of the role of important miRNAs and their mutations as a predicted drug target for inhibiting the FGFR2 dependent type of breast cancer


Biography

Negar Balmeh, Department of Cell and Molecular Biology, School of Biology, Nour Danesh Institution of Higher Education, Meymeh, Iran.

Abstract

Introduction: Breast cancer is one of the most common causes of death in women. The fibroblast growth factor(FGFR) protein plays a key role in the progression and development of breast cancer cells and FGFR2 is a receptor of this protein. Unfortunately, there is no definitive cure for breast cancer, and the methods used to treat each have their own side effects. One of the new and increasing therapies is the use of miRNAs because they can control and regulate the expression of different genes.

Methods: By using TCGA datas, miRNAs related to breast cancer tissues were gained. The sequences of 1550 miRNAs and FGFR2 were obtained through the miRBase and NCBI, respectively. miRNAs and FGFR2 were docked by RNAhybrid-BiBiServ2. MiRNASNPv3 was used to identify mutations in the seed sequence of miRNAs with high affinity to 3’UTR of FGFR2 mRNA. Finally, the signaling pathways inhibited by selected miRNAs was obtained using the DIANA(mirPath) database.

Results: According to the results, five miRNAs had a high affinity to 3’UTR of FGFR2 mRNA, and hsa-miR-6756-5p had the greatest inhibitory effect on FGFR2 in breast cancer by disruption of the Ras signaling pathway followed by decreased tumor cell proliferation. Mutations, including rs1008291553, rs985008481, rs769725887, rs2296320, rs72728267, rs1356532849, rs759820006, rs1311227571, rs920134626, rs1326990805 in miRNAs reduced their affinity to FGFR2.

Conclusion: The results of this survey showed that the mentioned miRNAs and SNPs may be associated with controlling the progression and malignancy of breast cancer. This study is bioinformatics and more experimental investigations need to be applied to verify these results.