Identification of MicroRNAs Targeting mTOR Gene Transcripts in Skin, Lung, Kidney, Uterus and Breast Cancer

9th Annual Basic Science International Conference 2019

自然科学（总论）

Hadi Wibowo, Stefanus Satrio^1 ; Agustriawan, David^1 ; Parikesit, Arli Aditya^1 ; Nurdiansyah, Rizky^1

Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jl. Pulomas Barat Kav.88, Jakarta

13210, Indonesia^1

关键词: Cancer patients;    Clear cell carcinoma;    Correlation analysis;    Endometrial carcinomas;    Energy metabolism;    Gene transcripts;    Low correlation;    Significance levels;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/546/6/062035/pdf
DOI  :  10.1088/1757-899X/546/6/062035

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

mTOR constitutively activated during tumorigenesis to stimulates mRNA translation through regulating cell energy metabolism. Using in silico approach based on miTS method, correlation analysis, and meta-analysis method, miRNA biomarker related to five cancer were researched. The input of the pipeline was THCA patients from GDC Data Porta ID and was processed using TCGA2STAT, dplyr, and metacor package in R studio, Excel, and MirTarBase. This study aims to discover the significance level of mTOR in five cancer: HNSC (Head and Neck Squamous Cell), lung adenocarcinoma (LUAD), Kidney Renal Clear Cell Carcinoma (KIRC), Uterine Corpus Endometrial Carcinoma (UCEC), and Breast Invasive Carcinoma (BRCA). Our study shows that in the cancer patient, mTOR tends to support cancer growth despite miRNA targeting it has low correlation rho value. The numerous microRNAs targeting mTOR have a specific role in each tissue, meaning it can be targeted as a precise medicine.