Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer
Objectives: Colorectal cancer (CRC) is a prevalent disease characterized by significant dysregulation of gene expression. Non-invasive tests that utilize microRNAs (miRNAs) have shown promise for early CRC detection. This study aims to determine the association between miRNAs and key genes in CRC. M...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2024-12-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/11769351241307163 |
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| _version_ | 1850116428208799744 |
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| author | Alireza Gharebaghi Saeid Afshar Leili Tapak Hossein Ranjbar Massoud Saidijam Irina Dinu |
| author_facet | Alireza Gharebaghi Saeid Afshar Leili Tapak Hossein Ranjbar Massoud Saidijam Irina Dinu |
| author_sort | Alireza Gharebaghi |
| collection | DOAJ |
| description | Objectives: Colorectal cancer (CRC) is a prevalent disease characterized by significant dysregulation of gene expression. Non-invasive tests that utilize microRNAs (miRNAs) have shown promise for early CRC detection. This study aims to determine the association between miRNAs and key genes in CRC. Methods: Two datasets (GSE106817 and GSE23878) were extracted from the NCBI Gene Expression Omnibus database. Penalized logistic regression (PLR) and artificial neural networks (ANN) were used to identify relevant miRNAs and evaluate the classification accuracy of the selected miRNAs. The findings were validated through bipartite miRNA-mRNA interactions. Results: Our analysis identified 3 miRNAs: miR-1228, miR-6765-5p, and miR-6787-5p, achieving a total accuracy of over 90%. Based on the results of the mRNA-miRNA interaction network, CDK1 and MAD2L1 were identified as target genes of miR-6787-5p. Conclusions: Our results suggest that the identified miRNAs and target genes could serve as non-invasive biomarkers for diagnosing colorectal cancer, pending laboratory confirmation. |
| format | Article |
| id | doaj-art-fb812ed2c33c447584ea4d5e6ef18825 |
| institution | OA Journals |
| issn | 1176-9351 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Cancer Informatics |
| spelling | doaj-art-fb812ed2c33c447584ea4d5e6ef188252025-08-20T02:36:19ZengSAGE PublishingCancer Informatics1176-93512024-12-012310.1177/11769351241307163Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal CancerAlireza Gharebaghi0Saeid Afshar1Leili Tapak2Hossein Ranjbar3Massoud Saidijam4Irina Dinu5Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, IranResearch Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, IranModeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, IranNeurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, IranResearch Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, IranSchool of Public Health, Health Academy, University of Alberta, Edmonton, AB, CanadaObjectives: Colorectal cancer (CRC) is a prevalent disease characterized by significant dysregulation of gene expression. Non-invasive tests that utilize microRNAs (miRNAs) have shown promise for early CRC detection. This study aims to determine the association between miRNAs and key genes in CRC. Methods: Two datasets (GSE106817 and GSE23878) were extracted from the NCBI Gene Expression Omnibus database. Penalized logistic regression (PLR) and artificial neural networks (ANN) were used to identify relevant miRNAs and evaluate the classification accuracy of the selected miRNAs. The findings were validated through bipartite miRNA-mRNA interactions. Results: Our analysis identified 3 miRNAs: miR-1228, miR-6765-5p, and miR-6787-5p, achieving a total accuracy of over 90%. Based on the results of the mRNA-miRNA interaction network, CDK1 and MAD2L1 were identified as target genes of miR-6787-5p. Conclusions: Our results suggest that the identified miRNAs and target genes could serve as non-invasive biomarkers for diagnosing colorectal cancer, pending laboratory confirmation.https://doi.org/10.1177/11769351241307163 |
| spellingShingle | Alireza Gharebaghi Saeid Afshar Leili Tapak Hossein Ranjbar Massoud Saidijam Irina Dinu Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer Cancer Informatics |
| title | Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer |
| title_full | Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer |
| title_fullStr | Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer |
| title_full_unstemmed | Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer |
| title_short | Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer |
| title_sort | utilizing an in silico approach to pinpoint potential biomarkers for enhanced early detection of colorectal cancer |
| url | https://doi.org/10.1177/11769351241307163 |
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