Volume 12, Issue 2 (May 2024)
Res Mol Med (RMM) 2024, 12(2): 0-0 |
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Maghsoudi H, Rafiei F. Studying the ِDifferences in Expression of miRNAs in Types of Cervical Cancer Base on dbDEMC 3.0 and CCDB: an in Silico Study. Res Mol Med (RMM) 2024; 12 (2)
URL: http://rmm.mazums.ac.ir/article-1-574-en.html
URL: http://rmm.mazums.ac.ir/article-1-574-en.html
1- , Hossein_m2002@yahoo.com
Abstract: (507 Views)
Background: Cervical cancer is one of the main and important causes of death fourth most common malignancy in females worldwide. By identifying miRNAs involved in cervical cancer types and stages, they may be considered as potential biomarkers in early detection of cervical cancer or targeted therapy, leading to therapeutic strategies.
Methods: The dbDEMC database is a collection of differentially expressed miRNAs in human cancers, and this database is the result of microarray and miRNA-seq data. In this study, we selected a number of experiments and listed the increased or decreased miRNAs expression by using dbDEMC. CCBD is data that the number of genes found in cervical cancer classified by molecular class.
Results: By selecting cervical cancer, 10 experiments are displayed. By choosing Experiment EXP00166 in which 42 miRNAs are overexpressed and 32 miRNAs are down-expressed. By choosing the EXP00167 experiment, in which the cervical cancer subtype is cervical squamous cell carcinoma and its design is based on cancer vs. normal, 25 miRNAs were down-expressed and 28 miRNAs were up-expressed. By selecting the EXP00168 trial, which has a cervical adenocarcinoma subtype and is designed to compare high-grade tumors with low-grade tumors, 15 miRNAs have decreased expression and 24 miRNAs have increased expression. By choosing the EXP00803 experiment, which is designed based on cancer vs. normal, and has 30 miRNAs down-expressed and 43 miRNAs up-expressed. In the CCDB database, the number of genes found in cervical cancer is 537, classified by molecular class.
Conclusion: Results of miRNAs involved in cervical cancer were retrieved from the dbDEMC database can help identify molecular biomarkers, which can then be used as an alternative to invasive diagnostic methods such as biopsy.
Methods: The dbDEMC database is a collection of differentially expressed miRNAs in human cancers, and this database is the result of microarray and miRNA-seq data. In this study, we selected a number of experiments and listed the increased or decreased miRNAs expression by using dbDEMC. CCBD is data that the number of genes found in cervical cancer classified by molecular class.
Results: By selecting cervical cancer, 10 experiments are displayed. By choosing Experiment EXP00166 in which 42 miRNAs are overexpressed and 32 miRNAs are down-expressed. By choosing the EXP00167 experiment, in which the cervical cancer subtype is cervical squamous cell carcinoma and its design is based on cancer vs. normal, 25 miRNAs were down-expressed and 28 miRNAs were up-expressed. By selecting the EXP00168 trial, which has a cervical adenocarcinoma subtype and is designed to compare high-grade tumors with low-grade tumors, 15 miRNAs have decreased expression and 24 miRNAs have increased expression. By choosing the EXP00803 experiment, which is designed based on cancer vs. normal, and has 30 miRNAs down-expressed and 43 miRNAs up-expressed. In the CCDB database, the number of genes found in cervical cancer is 537, classified by molecular class.
Conclusion: Results of miRNAs involved in cervical cancer were retrieved from the dbDEMC database can help identify molecular biomarkers, which can then be used as an alternative to invasive diagnostic methods such as biopsy.
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