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Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma
BACKGROUND: Colorectal cancer (CRC), ranking third in cancer prevalence and second in mortality worldwide, is mainly derived from colorectal adenoma (CRA). CRA is a common benign disease in the intestine with rapidly increasing incidence and malignant potential. Therefore, this study aimed to recogn...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832797/ https://www.ncbi.nlm.nih.gov/pubmed/36631756 http://dx.doi.org/10.1186/s12885-022-10422-9 |
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author | Wang, Bangting Zhang, Jiting Wang, Xin Zhao, Lili Wang, Yan Fan, Zhining Liu, Li Gao, Wenqing |
author_facet | Wang, Bangting Zhang, Jiting Wang, Xin Zhao, Lili Wang, Yan Fan, Zhining Liu, Li Gao, Wenqing |
author_sort | Wang, Bangting |
collection | PubMed |
description | BACKGROUND: Colorectal cancer (CRC), ranking third in cancer prevalence and second in mortality worldwide, is mainly derived from colorectal adenoma (CRA). CRA is a common benign disease in the intestine with rapidly increasing incidence and malignant potential. Therefore, this study aimed to recognize significant biomarkers and original pathogenesis in CRA. METHODS: Transcriptome data of GSE8671, GSE37364, and GSE15960 were downloaded from the Gene Expression Omnibus (GEO) datasets, and differentially expressed genes (DEGs) were screened. Functional pathways enrichment, protein–protein interaction (PPI) network, stem-correlation analysis, CIBERSORT, risk score and survival analyses were performed. RT-qPCR and immunohistochemical staining were applied to verify our results. RESULTS: Screening for significant DEGs in each dataset, we identified 230 robust DEGs, including 127 upregulated and 103 downregulated genes. Functional pathways enrichment showed that these DEGs were distinctly enriched in various tumor-associated pathways, such as growth factor activity, extracellular structure organization, neutrophil activation, and inflammatory response. We filtered out two hub genes via STRING and Modules analysis, including CA2 and HSD11B2. Stem-correlation analysis displayed that hub genes were negatively associated with stem-related genes (Olfm4, CD44, CCND1 and MYC). The CIBERSORT algorithm indicated that Macrophage2, activated mast cells, and Neutrophils promoted CRA progression through inflammation. Survival analysis showed that CA2 and HSD11B2 were positively associated with survival outcomes in CRC. CONCLUSION: Our study has successfully identified the critical role of two core genes in the development and oncogenesis of CRA, which provides novel insight into the underlying pathogenesis, potential biomarkers and therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10422-9. |
format | Online Article Text |
id | pubmed-9832797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98327972023-01-12 Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma Wang, Bangting Zhang, Jiting Wang, Xin Zhao, Lili Wang, Yan Fan, Zhining Liu, Li Gao, Wenqing BMC Cancer Research BACKGROUND: Colorectal cancer (CRC), ranking third in cancer prevalence and second in mortality worldwide, is mainly derived from colorectal adenoma (CRA). CRA is a common benign disease in the intestine with rapidly increasing incidence and malignant potential. Therefore, this study aimed to recognize significant biomarkers and original pathogenesis in CRA. METHODS: Transcriptome data of GSE8671, GSE37364, and GSE15960 were downloaded from the Gene Expression Omnibus (GEO) datasets, and differentially expressed genes (DEGs) were screened. Functional pathways enrichment, protein–protein interaction (PPI) network, stem-correlation analysis, CIBERSORT, risk score and survival analyses were performed. RT-qPCR and immunohistochemical staining were applied to verify our results. RESULTS: Screening for significant DEGs in each dataset, we identified 230 robust DEGs, including 127 upregulated and 103 downregulated genes. Functional pathways enrichment showed that these DEGs were distinctly enriched in various tumor-associated pathways, such as growth factor activity, extracellular structure organization, neutrophil activation, and inflammatory response. We filtered out two hub genes via STRING and Modules analysis, including CA2 and HSD11B2. Stem-correlation analysis displayed that hub genes were negatively associated with stem-related genes (Olfm4, CD44, CCND1 and MYC). The CIBERSORT algorithm indicated that Macrophage2, activated mast cells, and Neutrophils promoted CRA progression through inflammation. Survival analysis showed that CA2 and HSD11B2 were positively associated with survival outcomes in CRC. CONCLUSION: Our study has successfully identified the critical role of two core genes in the development and oncogenesis of CRA, which provides novel insight into the underlying pathogenesis, potential biomarkers and therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10422-9. BioMed Central 2023-01-11 /pmc/articles/PMC9832797/ /pubmed/36631756 http://dx.doi.org/10.1186/s12885-022-10422-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Bangting Zhang, Jiting Wang, Xin Zhao, Lili Wang, Yan Fan, Zhining Liu, Li Gao, Wenqing Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma |
title | Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma |
title_full | Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma |
title_fullStr | Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma |
title_full_unstemmed | Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma |
title_short | Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma |
title_sort | identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832797/ https://www.ncbi.nlm.nih.gov/pubmed/36631756 http://dx.doi.org/10.1186/s12885-022-10422-9 |
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