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Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer
BACKGROUND: Due to the high morbidity and poor clinical outcomes, early predictive and prognostic biomarker identification is desiderated in colorectal cancer (CRC). As a homologue of the Deleted in Colorectal Cancer (DCC) gene, the role of Neogenin-1 (NEO1) in CRC remained unveiled. This study was...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568410/ https://www.ncbi.nlm.nih.gov/pubmed/33088218 http://dx.doi.org/10.1186/s12935-020-01604-1 |
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author | Zhang, Meng Zhou, Zhou Pan, Xue-kai Zhou, Yun-jiao Li, Hai-ou Qiu, Pei-shan Zhang, Meng-na Peng, Ru-yi Wang, Hai-zhou Liu, Lan Liu, Jing Zhao, Qiu |
author_facet | Zhang, Meng Zhou, Zhou Pan, Xue-kai Zhou, Yun-jiao Li, Hai-ou Qiu, Pei-shan Zhang, Meng-na Peng, Ru-yi Wang, Hai-zhou Liu, Lan Liu, Jing Zhao, Qiu |
author_sort | Zhang, Meng |
collection | PubMed |
description | BACKGROUND: Due to the high morbidity and poor clinical outcomes, early predictive and prognostic biomarker identification is desiderated in colorectal cancer (CRC). As a homologue of the Deleted in Colorectal Cancer (DCC) gene, the role of Neogenin-1 (NEO1) in CRC remained unveiled. This study was designed to probe into the effects and potential function of NEO1 in CRC. METHODS: Online databases, Gene Set Enrichment Analysis (GSEA), quantitative real-time PCR and western blotting were used to evaluate NEO1 expression in colorectal cancer tissues. Survival analysis was performed to predict the prognosis of CRC patients based on NEO1 expression level. Then, cell proliferation was detected by colony formation and Cell Counting Kit 8 (CCK-8) assays. CRC cell migration and invasion were examined by transwell assays. Finally, we utilized the Gene Set Variation Analysis (GSVA) and GSEA to dig the potential mechanisms of NEO1 in CRC. RESULTS: Oncomine database and The Cancer Genome Atlas (TCGA) database showed that NEO1 was down-regulated in CRC. Further results validated that NEO1 mRNA and protein expression were both significantly lower in CRC tumor tissues than in the adjacent tissues in our clinical samples. NEO1 expression was decreased with the progression of CRC. Survival and other clinical characteristic analyses exhibited that low NEO1 expression was related with poor prognosis. A gain-of-function study showed that overexpression of NEO1 restrained proliferation, migration and invasion of CRC cells while a loss-of-function showed the opposite effects. Finally, functional pathway enrichment analysis revealed that NEO1 low expression samples were enriched in inflammation-related signaling pathways, EMT and angiogenesis. CONCLUSION: A tumor suppressor gene NEO1 was identified and verified to be correlated with the prognosis and progression of CRC, which could serve as a prognostic biomarker for CRC patients. |
format | Online Article Text |
id | pubmed-7568410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75684102020-10-20 Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer Zhang, Meng Zhou, Zhou Pan, Xue-kai Zhou, Yun-jiao Li, Hai-ou Qiu, Pei-shan Zhang, Meng-na Peng, Ru-yi Wang, Hai-zhou Liu, Lan Liu, Jing Zhao, Qiu Cancer Cell Int Primary Research BACKGROUND: Due to the high morbidity and poor clinical outcomes, early predictive and prognostic biomarker identification is desiderated in colorectal cancer (CRC). As a homologue of the Deleted in Colorectal Cancer (DCC) gene, the role of Neogenin-1 (NEO1) in CRC remained unveiled. This study was designed to probe into the effects and potential function of NEO1 in CRC. METHODS: Online databases, Gene Set Enrichment Analysis (GSEA), quantitative real-time PCR and western blotting were used to evaluate NEO1 expression in colorectal cancer tissues. Survival analysis was performed to predict the prognosis of CRC patients based on NEO1 expression level. Then, cell proliferation was detected by colony formation and Cell Counting Kit 8 (CCK-8) assays. CRC cell migration and invasion were examined by transwell assays. Finally, we utilized the Gene Set Variation Analysis (GSVA) and GSEA to dig the potential mechanisms of NEO1 in CRC. RESULTS: Oncomine database and The Cancer Genome Atlas (TCGA) database showed that NEO1 was down-regulated in CRC. Further results validated that NEO1 mRNA and protein expression were both significantly lower in CRC tumor tissues than in the adjacent tissues in our clinical samples. NEO1 expression was decreased with the progression of CRC. Survival and other clinical characteristic analyses exhibited that low NEO1 expression was related with poor prognosis. A gain-of-function study showed that overexpression of NEO1 restrained proliferation, migration and invasion of CRC cells while a loss-of-function showed the opposite effects. Finally, functional pathway enrichment analysis revealed that NEO1 low expression samples were enriched in inflammation-related signaling pathways, EMT and angiogenesis. CONCLUSION: A tumor suppressor gene NEO1 was identified and verified to be correlated with the prognosis and progression of CRC, which could serve as a prognostic biomarker for CRC patients. BioMed Central 2020-10-17 /pmc/articles/PMC7568410/ /pubmed/33088218 http://dx.doi.org/10.1186/s12935-020-01604-1 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Primary Research Zhang, Meng Zhou, Zhou Pan, Xue-kai Zhou, Yun-jiao Li, Hai-ou Qiu, Pei-shan Zhang, Meng-na Peng, Ru-yi Wang, Hai-zhou Liu, Lan Liu, Jing Zhao, Qiu Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer |
title | Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer |
title_full | Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer |
title_fullStr | Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer |
title_full_unstemmed | Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer |
title_short | Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer |
title_sort | identification of neo1 as a prognostic biomarker and its effects on the progression of colorectal cancer |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568410/ https://www.ncbi.nlm.nih.gov/pubmed/33088218 http://dx.doi.org/10.1186/s12935-020-01604-1 |
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