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Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia
A lot of evidence has emphasized the function of long noncoding RNAs (lncRNAs) in tumors' development and progression. Nevertheless, there is still a lack of lncRNA biomarkers that can predict the prognosis of acute myeloid leukemia (AML). Our goal was to develop a lncRNA marker with prognostic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712118/ https://www.ncbi.nlm.nih.gov/pubmed/34966465 http://dx.doi.org/10.1155/2021/8223216 |
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author | Liu, Chun-yu Guo, Hui-hui Li, Hai-xia Liang, Ying Tang, Cong Chen, Nan-nan |
author_facet | Liu, Chun-yu Guo, Hui-hui Li, Hai-xia Liang, Ying Tang, Cong Chen, Nan-nan |
author_sort | Liu, Chun-yu |
collection | PubMed |
description | A lot of evidence has emphasized the function of long noncoding RNAs (lncRNAs) in tumors' development and progression. Nevertheless, there is still a lack of lncRNA biomarkers that can predict the prognosis of acute myeloid leukemia (AML). Our goal was to develop a lncRNA marker with prognostic value for the survival of AML. AML patients' RNA sequencing data as well as clinical characteristics were obtained from the public TARGET database. Then, differentially expressed lncRNAs were identified in female and male AML samples. By adopting univariate and multivariate Cox regression analyses, AML patients' survival was predicted by a seven-lncRNA signature. It was found that 95 abnormal expressed lncRNAs existed in AML. Then, the analysis of multivariate Cox regression showed that, among them, 7 (LINC00461, RP11-309M23.1, AC016735.2, RP11-61I13.3, KIAA0087, RORB-AS1, and AC012354.6) had an obvious prognostic value, and according to their cumulative risk scores, these 7 lncRNA signatures could independently predict the AML patients' overall survival. Overall, the prognosis of AML patients could be predicted by a reliable tool, that is, seven-lncRNA prognostic signature. |
format | Online Article Text |
id | pubmed-8712118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-87121182021-12-28 Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia Liu, Chun-yu Guo, Hui-hui Li, Hai-xia Liang, Ying Tang, Cong Chen, Nan-nan Dis Markers Research Article A lot of evidence has emphasized the function of long noncoding RNAs (lncRNAs) in tumors' development and progression. Nevertheless, there is still a lack of lncRNA biomarkers that can predict the prognosis of acute myeloid leukemia (AML). Our goal was to develop a lncRNA marker with prognostic value for the survival of AML. AML patients' RNA sequencing data as well as clinical characteristics were obtained from the public TARGET database. Then, differentially expressed lncRNAs were identified in female and male AML samples. By adopting univariate and multivariate Cox regression analyses, AML patients' survival was predicted by a seven-lncRNA signature. It was found that 95 abnormal expressed lncRNAs existed in AML. Then, the analysis of multivariate Cox regression showed that, among them, 7 (LINC00461, RP11-309M23.1, AC016735.2, RP11-61I13.3, KIAA0087, RORB-AS1, and AC012354.6) had an obvious prognostic value, and according to their cumulative risk scores, these 7 lncRNA signatures could independently predict the AML patients' overall survival. Overall, the prognosis of AML patients could be predicted by a reliable tool, that is, seven-lncRNA prognostic signature. Hindawi 2021-12-20 /pmc/articles/PMC8712118/ /pubmed/34966465 http://dx.doi.org/10.1155/2021/8223216 Text en Copyright © 2021 Chun-yu Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Chun-yu Guo, Hui-hui Li, Hai-xia Liang, Ying Tang, Cong Chen, Nan-nan Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia |
title | Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia |
title_full | Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia |
title_fullStr | Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia |
title_full_unstemmed | Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia |
title_short | Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia |
title_sort | identification of the 7-lncrna signature as a prognostic biomarker for acute myeloid leukemia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712118/ https://www.ncbi.nlm.nih.gov/pubmed/34966465 http://dx.doi.org/10.1155/2021/8223216 |
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