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Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach

In recent studies, the void of evaluation and in-depth understanding of unknown clinically relevant potential molecular biomarkers involved in colorectal cancer (CRC) from the inflammatory stage of ulcerative colitis (UC) to CRC metastasis, which can be suitable therapeutic targets, is deeply felt....

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Autores principales: Shahnazari, Mina, Afshar, Saeid, Emami, Mohammad Hassan, Amini, Razieh, Jalali, Akram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975073/
https://www.ncbi.nlm.nih.gov/pubmed/36854781
http://dx.doi.org/10.1038/s41598-023-29344-y
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author Shahnazari, Mina
Afshar, Saeid
Emami, Mohammad Hassan
Amini, Razieh
Jalali, Akram
author_facet Shahnazari, Mina
Afshar, Saeid
Emami, Mohammad Hassan
Amini, Razieh
Jalali, Akram
author_sort Shahnazari, Mina
collection PubMed
description In recent studies, the void of evaluation and in-depth understanding of unknown clinically relevant potential molecular biomarkers involved in colorectal cancer (CRC) from the inflammatory stage of ulcerative colitis (UC) to CRC metastasis, which can be suitable therapeutic targets, is deeply felt. The regulation and interaction among different cancer-promoting molecules, including messenger RNAs (mRNAs) and micro RNAs (miRNAs) in CRC and its progression, were the aim we pursued in this study. Using microarray data, we investigated the differential expression for five datasets, including mRNA and microRNA samples related to UC, tumor/normal. Then, using robust data analysis, separate lists of differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRNAs) were identified, which were used for robust rank aggregation (RRA) and co-expression network analysis. Then, comprehensive computational systems biology analyses, including gene ontology and Kyoto encyclopedia of genes and genomic pathway enrichment analyses, mRNA-miRNA regulatory network, and survival analysis, were employed to achieve the aim of this study. Finally, we used clinical samples to validate this potential and new target. According to this systems biology approach, a total of 98 DEGs and 8 DEmiRNAs with common differential expression were identified. By combining the distinct results of RRA and network, several potential therapeutic targets, and predictive and prognostic biomarkers for UC and CRC were identified. These targets include six common hub genes, CXCL1, CXCL8, MMP7, SLCA16A9, PLAU, and TIMP1, which are upregulated. Among these, the important and new biomarker SLC16A9 is negatively regulated by hsa-mir-194-5p, and hsa-miR-378a-5p take. The findings of the present study provide new insight into the pathogenesis of CRC in UC. Our study suggests future evaluation of the functional role of SLC16A9 and hsa-mir-194-5p and hsa-miR-378a-5p in CRC development.
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spelling pubmed-99750732023-03-02 Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach Shahnazari, Mina Afshar, Saeid Emami, Mohammad Hassan Amini, Razieh Jalali, Akram Sci Rep Article In recent studies, the void of evaluation and in-depth understanding of unknown clinically relevant potential molecular biomarkers involved in colorectal cancer (CRC) from the inflammatory stage of ulcerative colitis (UC) to CRC metastasis, which can be suitable therapeutic targets, is deeply felt. The regulation and interaction among different cancer-promoting molecules, including messenger RNAs (mRNAs) and micro RNAs (miRNAs) in CRC and its progression, were the aim we pursued in this study. Using microarray data, we investigated the differential expression for five datasets, including mRNA and microRNA samples related to UC, tumor/normal. Then, using robust data analysis, separate lists of differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRNAs) were identified, which were used for robust rank aggregation (RRA) and co-expression network analysis. Then, comprehensive computational systems biology analyses, including gene ontology and Kyoto encyclopedia of genes and genomic pathway enrichment analyses, mRNA-miRNA regulatory network, and survival analysis, were employed to achieve the aim of this study. Finally, we used clinical samples to validate this potential and new target. According to this systems biology approach, a total of 98 DEGs and 8 DEmiRNAs with common differential expression were identified. By combining the distinct results of RRA and network, several potential therapeutic targets, and predictive and prognostic biomarkers for UC and CRC were identified. These targets include six common hub genes, CXCL1, CXCL8, MMP7, SLCA16A9, PLAU, and TIMP1, which are upregulated. Among these, the important and new biomarker SLC16A9 is negatively regulated by hsa-mir-194-5p, and hsa-miR-378a-5p take. The findings of the present study provide new insight into the pathogenesis of CRC in UC. Our study suggests future evaluation of the functional role of SLC16A9 and hsa-mir-194-5p and hsa-miR-378a-5p in CRC development. Nature Publishing Group UK 2023-02-28 /pmc/articles/PMC9975073/ /pubmed/36854781 http://dx.doi.org/10.1038/s41598-023-29344-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Shahnazari, Mina
Afshar, Saeid
Emami, Mohammad Hassan
Amini, Razieh
Jalali, Akram
Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
title Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
title_full Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
title_fullStr Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
title_full_unstemmed Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
title_short Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
title_sort novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975073/
https://www.ncbi.nlm.nih.gov/pubmed/36854781
http://dx.doi.org/10.1038/s41598-023-29344-y
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