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Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma

BACKGROUND: The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Recent studies show that long noncoding RNAs (lncRNAs) might act as prognostic biomarkers in a variety of cancers. This study aimed to identify and assess...

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Autores principales: Liu, Xinhong, Xiao, Caizhi, Tan, Fang, Yi, Ruokun, Zhao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799118/
https://www.ncbi.nlm.nih.gov/pubmed/35117237
http://dx.doi.org/10.21037/tcr-20-2011
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author Liu, Xinhong
Xiao, Caizhi
Tan, Fang
Yi, Ruokun
Zhao, Xin
author_facet Liu, Xinhong
Xiao, Caizhi
Tan, Fang
Yi, Ruokun
Zhao, Xin
author_sort Liu, Xinhong
collection PubMed
description BACKGROUND: The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Recent studies show that long noncoding RNAs (lncRNAs) might act as prognostic biomarkers in a variety of cancers. This study aimed to identify and assess a prognostic lncRNA signature in patients with colon adenocarcinoma (COAD). METHODS: We downloaded expression profiles and corresponding clinicopathological data from The Cancer Genome Atlas (TCGA) database. We selected samples with lncRNA expression data and relevant clinical prognostic data for subsequent analysis. The association between lncRNA and prognostic function was analyzed by Cox regression analysis. The potential biofunctions of target lncRNA were investigated through bioinformatic analysis. RESULTS: LncRNAs expression profiles and corresponding clinicopathological data of 480 COAD patients and 41 normal samples were obtained from TCGA database. A multivariate Cox analysis model was used to identify the lncRNA signature. AC010973.2 lncRNA was found to be significantly related to the survival of COAD patients. The area under the curve (0.758) and the C-index (0.753) further confirmed the prediction accuracy of our model. Through nucleic acid sequence comparison and literature search, we found that the homologous host gene SLC4A2 of AC010973.2 is significantly related to COAD. CONCLUSIONS: We provide here a new biomarker for COAD diagnosis and a new direction for further research on the pathogenesis of COAD.
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spelling pubmed-87991182022-02-02 Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma Liu, Xinhong Xiao, Caizhi Tan, Fang Yi, Ruokun Zhao, Xin Transl Cancer Res Original Article BACKGROUND: The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Recent studies show that long noncoding RNAs (lncRNAs) might act as prognostic biomarkers in a variety of cancers. This study aimed to identify and assess a prognostic lncRNA signature in patients with colon adenocarcinoma (COAD). METHODS: We downloaded expression profiles and corresponding clinicopathological data from The Cancer Genome Atlas (TCGA) database. We selected samples with lncRNA expression data and relevant clinical prognostic data for subsequent analysis. The association between lncRNA and prognostic function was analyzed by Cox regression analysis. The potential biofunctions of target lncRNA were investigated through bioinformatic analysis. RESULTS: LncRNAs expression profiles and corresponding clinicopathological data of 480 COAD patients and 41 normal samples were obtained from TCGA database. A multivariate Cox analysis model was used to identify the lncRNA signature. AC010973.2 lncRNA was found to be significantly related to the survival of COAD patients. The area under the curve (0.758) and the C-index (0.753) further confirmed the prediction accuracy of our model. Through nucleic acid sequence comparison and literature search, we found that the homologous host gene SLC4A2 of AC010973.2 is significantly related to COAD. CONCLUSIONS: We provide here a new biomarker for COAD diagnosis and a new direction for further research on the pathogenesis of COAD. AME Publishing Company 2020-10 /pmc/articles/PMC8799118/ /pubmed/35117237 http://dx.doi.org/10.21037/tcr-20-2011 Text en 2020 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Liu, Xinhong
Xiao, Caizhi
Tan, Fang
Yi, Ruokun
Zhao, Xin
Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma
title Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma
title_full Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma
title_fullStr Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma
title_full_unstemmed Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma
title_short Discovered differentially expressed lncRNA AC010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma
title_sort discovered differentially expressed lncrna ac010973.2 can act as a diagnostic and prognostic biomarker for colon adenocarcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799118/
https://www.ncbi.nlm.nih.gov/pubmed/35117237
http://dx.doi.org/10.21037/tcr-20-2011
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