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Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer

Colorectal cancer (CRC) is the second most incident cancer and third leading cause of cancer-related mortality worldwide. Small nucleolar RNAs (snoRNAs) are small non-coding RNAs located in the nucleoli of cells, and play key roles in multiple cancers. However, the role of serum snoRNAs in CRC remai...

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Autores principales: Liu, Yonghui, Zhao, Chengwen, Sun, Jing, Wang, Guihua, Ju, Shaoqing, Qian, Chen, Wang, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806983/
https://www.ncbi.nlm.nih.gov/pubmed/34702132
http://dx.doi.org/10.1080/21655979.2021.1990194
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author Liu, Yonghui
Zhao, Chengwen
Sun, Jing
Wang, Guihua
Ju, Shaoqing
Qian, Chen
Wang, Xudong
author_facet Liu, Yonghui
Zhao, Chengwen
Sun, Jing
Wang, Guihua
Ju, Shaoqing
Qian, Chen
Wang, Xudong
author_sort Liu, Yonghui
collection PubMed
description Colorectal cancer (CRC) is the second most incident cancer and third leading cause of cancer-related mortality worldwide. Small nucleolar RNAs (snoRNAs) are small non-coding RNAs located in the nucleoli of cells, and play key roles in multiple cancers. However, the role of serum snoRNAs in CRC remains unknown. We analyzed the expression of the snoRNA SNORD1C in the serum of patients with CRC using quantitative real-time polymerase chain reaction (qRT-PCR) (n = 122). The receiver operating characteristic (ROC) curves were estimated, and the area under the ROC curve (AUC) was calculated. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analysis of co-expressed genes was performed using the database for annotation, visualization, and integrated discovery (DAVID), and visualized by R language. The results showed that the expression of SNORD1C in patients with CRC (n = 122) was significantly higher than that in normal individuals (n = 50) and patients with benign colorectal disease (n = 33) (P < 0.05). The overexpression of serum SNORD1C was related to poor tissue differentiation and high carcinoembryonic antigen (CEA) levels (P < 0.05). In the ROC curve analysis, SNORD1C serum expression combined with CEA offered better predictive value for the diagnosis of CRC (AUC = 0.838) compared with SNORD1C (AUC = 0.748) or CEA (AUC = 0.715) alone. High expression of SNORD1C was found to be closely associated with prognosis and unfavorable outcomes in patient with CRC. Therefore, serum SNORD1C may be a noninvasive tumor biomarker for diagnosis of CRC.
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spelling pubmed-88069832022-02-02 Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer Liu, Yonghui Zhao, Chengwen Sun, Jing Wang, Guihua Ju, Shaoqing Qian, Chen Wang, Xudong Bioengineered Research Paper Colorectal cancer (CRC) is the second most incident cancer and third leading cause of cancer-related mortality worldwide. Small nucleolar RNAs (snoRNAs) are small non-coding RNAs located in the nucleoli of cells, and play key roles in multiple cancers. However, the role of serum snoRNAs in CRC remains unknown. We analyzed the expression of the snoRNA SNORD1C in the serum of patients with CRC using quantitative real-time polymerase chain reaction (qRT-PCR) (n = 122). The receiver operating characteristic (ROC) curves were estimated, and the area under the ROC curve (AUC) was calculated. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analysis of co-expressed genes was performed using the database for annotation, visualization, and integrated discovery (DAVID), and visualized by R language. The results showed that the expression of SNORD1C in patients with CRC (n = 122) was significantly higher than that in normal individuals (n = 50) and patients with benign colorectal disease (n = 33) (P < 0.05). The overexpression of serum SNORD1C was related to poor tissue differentiation and high carcinoembryonic antigen (CEA) levels (P < 0.05). In the ROC curve analysis, SNORD1C serum expression combined with CEA offered better predictive value for the diagnosis of CRC (AUC = 0.838) compared with SNORD1C (AUC = 0.748) or CEA (AUC = 0.715) alone. High expression of SNORD1C was found to be closely associated with prognosis and unfavorable outcomes in patient with CRC. Therefore, serum SNORD1C may be a noninvasive tumor biomarker for diagnosis of CRC. Taylor & Francis 2021-10-26 /pmc/articles/PMC8806983/ /pubmed/34702132 http://dx.doi.org/10.1080/21655979.2021.1990194 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Liu, Yonghui
Zhao, Chengwen
Sun, Jing
Wang, Guihua
Ju, Shaoqing
Qian, Chen
Wang, Xudong
Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer
title Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer
title_full Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer
title_fullStr Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer
title_full_unstemmed Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer
title_short Overexpression of small nucleolar RNA SNORD1C is associated with unfavorable outcome in colorectal cancer
title_sort overexpression of small nucleolar rna snord1c is associated with unfavorable outcome in colorectal cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806983/
https://www.ncbi.nlm.nih.gov/pubmed/34702132
http://dx.doi.org/10.1080/21655979.2021.1990194
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