A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis
Background: MicroRNA (miRNA) has been linked to colorectal cancer (CRC) tumorigenesis due to its post-transcriptional mechanism in targeting cancer-associated genes. Although miRNAs appear to be promising screening biomarkers, functional prediction analysis is required to shed light on their role in...
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my.iium.irep.1066072023-09-14T08:54:22Z http://irep.iium.edu.my/106607/ A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis Mohamed, Syarah Syamimi Ahmad, Azmir Ab Mutalib, Nurul Syakima Tengku Din, Tengku Ahmad Damitri Al-Astani Md Salleh, Md Salzihan Zakaria, Andee Dzulkarnaen Zakaria, Zaidi RC254 Neoplasms. Tumors. Oncology (including Cancer) RC270 Neoplasms. Tumors. Oncology-Cancer and Other Malignant Neoplasms-Therapeutics Background: MicroRNA (miRNA) has been linked to colorectal cancer (CRC) tumorigenesis due to its post-transcriptional mechanism in targeting cancer-associated genes. Although miRNAs appear to be promising screening biomarkers, functional prediction analysis is required to shed light on their role in CRC tumorigenesis. Therefore, this study aims to identify the significantly deregulated miRNAs in CRC tumorigenesis. (2) Methods: Three upregulated miRNAs (hsa-miR-20a-5p, hsa-miR-21-5p, and hsa-miR210-3p) from 14 significant differentially expressed miRNAs (DEMs) were chosen from microarray profiling to be validated in plasma. Bioinformatics analyses showed that these miRNAs generally contributed to tumorigenesis, but only hsa-miR-20a-5p and hsa-miR-21-5p were specifically linked to CRC. Only two miRNAs showed a positive correlation when compared to their expression in plasma. However, further analysis showed that all three miRNAs in plasma were significantly difference between the early and advanced stages of CRC. ROC curve analysis was used to evaluate miRNAs’ diagnostic performance in the early and advanced stages. (3) Results: Collectively, hsa-miR-20a-5p showed the highest discriminative value (AUC= 0.82, sensitivity = 86%, and specificity= 88%) in discriminating early CRC, while both hsa-miR-21-5p and hsa-miR-210-3p give a perfect performance for advance CRC. In addition, the performance of all miRNAs’ combinations also gives a perfect performance for diagnosis in both early and advanced CRC, except the combination of hsa-miR-20a-5p and hsa-miR-210-3p. (4) Conclusions: A few potential miRNA panels as CRC biomarker is needed for better prediction of disease. The reflective circulating miRNAs can be contributed to by minimal invasive screening tools. HH Publisher 2023-08-31 Article PeerReviewed application/pdf en http://irep.iium.edu.my/106607/13/106607_A%20panel%20of%20three%20microRNA%20signatures%20as%20a%20potential%20biomarker.pdf application/pdf en http://irep.iium.edu.my/106607/14/106607_A%20panel%20of%20three%20microRNA%20signatures%20as%20a%20potential%20biomarker_Scopus.pdf application/pdf en http://irep.iium.edu.my/106607/25/106607_A%20panel%20of%20three%20microRNA%20signatures%20as%20a%20potential%20biomarker_Research%20materials.pdf Mohamed, Syarah Syamimi and Ahmad, Azmir and Ab Mutalib, Nurul Syakima and Tengku Din, Tengku Ahmad Damitri Al-Astani and Md Salleh, Md Salzihan and Zakaria, Andee Dzulkarnaen and Zakaria, Zaidi (2023) A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis. Progress in Microbes and Molecular Biology, 6 (1). pp. 1-17. E-ISSN 2637-1049 https://hh-publisher.com/ojs321/index.php/pmmb/article/view/850/443 10.36877/pmmb.a0000343 |
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RC254 Neoplasms. Tumors. Oncology (including Cancer) RC270 Neoplasms. Tumors. Oncology-Cancer and Other Malignant Neoplasms-Therapeutics |
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RC254 Neoplasms. Tumors. Oncology (including Cancer) RC270 Neoplasms. Tumors. Oncology-Cancer and Other Malignant Neoplasms-Therapeutics Mohamed, Syarah Syamimi Ahmad, Azmir Ab Mutalib, Nurul Syakima Tengku Din, Tengku Ahmad Damitri Al-Astani Md Salleh, Md Salzihan Zakaria, Andee Dzulkarnaen Zakaria, Zaidi A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis |
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Background: MicroRNA (miRNA) has been linked to colorectal cancer (CRC) tumorigenesis due to its post-transcriptional mechanism in targeting cancer-associated genes. Although miRNAs appear to be promising screening biomarkers, functional prediction analysis is required to shed light on their role in CRC tumorigenesis. Therefore, this study aims to identify the significantly deregulated miRNAs in CRC tumorigenesis. (2) Methods: Three upregulated miRNAs (hsa-miR-20a-5p, hsa-miR-21-5p, and hsa-miR210-3p) from 14 significant differentially expressed miRNAs (DEMs) were chosen from microarray profiling to be validated in plasma. Bioinformatics analyses showed that these miRNAs generally contributed to tumorigenesis, but only hsa-miR-20a-5p and hsa-miR-21-5p were specifically linked to CRC. Only two miRNAs showed a positive correlation when compared to their expression in plasma. However, further analysis showed that all three miRNAs in plasma were significantly difference between the early and advanced stages of CRC. ROC curve analysis was used to evaluate miRNAs’ diagnostic performance in the early and advanced stages. (3) Results: Collectively, hsa-miR-20a-5p showed the highest discriminative value (AUC= 0.82, sensitivity = 86%, and specificity= 88%) in discriminating early CRC, while both hsa-miR-21-5p and hsa-miR-210-3p give a perfect performance for advance CRC. In addition, the performance of all miRNAs’ combinations also gives a perfect performance for diagnosis in both early and advanced CRC, except the combination of hsa-miR-20a-5p and hsa-miR-210-3p. (4) Conclusions: A few potential miRNA panels as CRC biomarker is needed for better prediction of disease. The reflective circulating miRNAs can be contributed to by minimal invasive screening tools. |
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Article |
author |
Mohamed, Syarah Syamimi Ahmad, Azmir Ab Mutalib, Nurul Syakima Tengku Din, Tengku Ahmad Damitri Al-Astani Md Salleh, Md Salzihan Zakaria, Andee Dzulkarnaen Zakaria, Zaidi |
author_facet |
Mohamed, Syarah Syamimi Ahmad, Azmir Ab Mutalib, Nurul Syakima Tengku Din, Tengku Ahmad Damitri Al-Astani Md Salleh, Md Salzihan Zakaria, Andee Dzulkarnaen Zakaria, Zaidi |
author_sort |
Mohamed, Syarah Syamimi |
title |
A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis |
title_short |
A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis |
title_full |
A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis |
title_fullStr |
A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis |
title_full_unstemmed |
A panel of three microRNA signatures as a potential biomarker for CRC screening based on stages and functional prediction using bioinformatic analysis |
title_sort |
panel of three microrna signatures as a potential biomarker for crc screening based on stages and functional prediction using bioinformatic analysis |
publisher |
HH Publisher |
publishDate |
2023 |
url |
http://irep.iium.edu.my/106607/13/106607_A%20panel%20of%20three%20microRNA%20signatures%20as%20a%20potential%20biomarker.pdf http://irep.iium.edu.my/106607/14/106607_A%20panel%20of%20three%20microRNA%20signatures%20as%20a%20potential%20biomarker_Scopus.pdf http://irep.iium.edu.my/106607/25/106607_A%20panel%20of%20three%20microRNA%20signatures%20as%20a%20potential%20biomarker_Research%20materials.pdf http://irep.iium.edu.my/106607/ https://hh-publisher.com/ojs321/index.php/pmmb/article/view/850/443 |
_version_ |
1778160479995166720 |
score |
13.211869 |