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A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor
Wilms tumor (WT) commonly occurs in infants and children. We evaluated clinical factors and the expression of multiple RNAs in WT samples in the TARGET database. Eight long non-coding RNAs (lncRNAs; AC079310.1, MYCNOS, LINC00271, AL445228.3, Z84485.1, AC091180.5, AP002518.2, and AC007879.3), two mic...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953909/ https://www.ncbi.nlm.nih.gov/pubmed/33718161 http://dx.doi.org/10.3389/fonc.2021.608433 |
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author | Liu, HengChen Zhang, MingZhao Shi, ManYu Zhang, TingTing Zhang, ZeNan Cui, QingBo Yang, ShuLong Li, ZhaoZhu |
author_facet | Liu, HengChen Zhang, MingZhao Shi, ManYu Zhang, TingTing Zhang, ZeNan Cui, QingBo Yang, ShuLong Li, ZhaoZhu |
author_sort | Liu, HengChen |
collection | PubMed |
description | Wilms tumor (WT) commonly occurs in infants and children. We evaluated clinical factors and the expression of multiple RNAs in WT samples in the TARGET database. Eight long non-coding RNAs (lncRNAs; AC079310.1, MYCNOS, LINC00271, AL445228.3, Z84485.1, AC091180.5, AP002518.2, and AC007879.3), two microRNAs (miRNAs; hsa-mir-152 andhsa-mir-181a), and nine messenger RNAs (mRNAs; TCTEX1D4, RNF133, VRK1, CCNE1, HEY1, C10orf71, SPRY1, SPAG11A, and MAGEB18) were screened from differentially expressed RNAs and used to construct predictive survival models. These models showed good prognostic ability and were highly correlated with tumor stage and histological classification. Additionally, survival-related ceRNA network was constructed using 35 RNAs (15 lncRNAs, eight miRNAs, and 12 mRNAs). KEGG pathway analysis suggested the “Wnt signaling pathway” and “Cellular senescence” as the main pathways. In conclusion, we established a multinomial predictive survival model and a survival-related ceRNA network, which provide new potential biomarkers that may improve the prognosis and treatment of WT patients. |
format | Online Article Text |
id | pubmed-7953909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79539092021-03-13 A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor Liu, HengChen Zhang, MingZhao Shi, ManYu Zhang, TingTing Zhang, ZeNan Cui, QingBo Yang, ShuLong Li, ZhaoZhu Front Oncol Oncology Wilms tumor (WT) commonly occurs in infants and children. We evaluated clinical factors and the expression of multiple RNAs in WT samples in the TARGET database. Eight long non-coding RNAs (lncRNAs; AC079310.1, MYCNOS, LINC00271, AL445228.3, Z84485.1, AC091180.5, AP002518.2, and AC007879.3), two microRNAs (miRNAs; hsa-mir-152 andhsa-mir-181a), and nine messenger RNAs (mRNAs; TCTEX1D4, RNF133, VRK1, CCNE1, HEY1, C10orf71, SPRY1, SPAG11A, and MAGEB18) were screened from differentially expressed RNAs and used to construct predictive survival models. These models showed good prognostic ability and were highly correlated with tumor stage and histological classification. Additionally, survival-related ceRNA network was constructed using 35 RNAs (15 lncRNAs, eight miRNAs, and 12 mRNAs). KEGG pathway analysis suggested the “Wnt signaling pathway” and “Cellular senescence” as the main pathways. In conclusion, we established a multinomial predictive survival model and a survival-related ceRNA network, which provide new potential biomarkers that may improve the prognosis and treatment of WT patients. Frontiers Media S.A. 2021-02-26 /pmc/articles/PMC7953909/ /pubmed/33718161 http://dx.doi.org/10.3389/fonc.2021.608433 Text en Copyright © 2021 Liu, Zhang, Shi, Zhang, Zhang, Cui, Yang and Li http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Liu, HengChen Zhang, MingZhao Shi, ManYu Zhang, TingTing Zhang, ZeNan Cui, QingBo Yang, ShuLong Li, ZhaoZhu A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor |
title | A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor |
title_full | A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor |
title_fullStr | A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor |
title_full_unstemmed | A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor |
title_short | A Survival-Related Competitive Endogenous RNA Network of Prognostic lncRNAs, miRNAs, and mRNAs in Wilms Tumor |
title_sort | survival-related competitive endogenous rna network of prognostic lncrnas, mirnas, and mrnas in wilms tumor |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953909/ https://www.ncbi.nlm.nih.gov/pubmed/33718161 http://dx.doi.org/10.3389/fonc.2021.608433 |
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