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Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database

BACKGROUND: Acute myeloid leukemia (AML) is a common and lethal hematological malignant hyperplastic disease originating from hematopoietic stem cells. The purpose of this study is to obtain the key differentially expressed gene (DEG) related to the survival of AML by The Cancer Genome Atlas (TCGA)...

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Autores principales: Gao, Yue, Jia, Yinnong, Yu, Zhengmin, Ji, Xinyu, Liu, Xiaowen, Han, Lei, Zhang, Hengdong, Zhu, Baoli, Xu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969712/
https://www.ncbi.nlm.nih.gov/pubmed/36850007
http://dx.doi.org/10.1186/s40001-023-01060-3
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author Gao, Yue
Jia, Yinnong
Yu, Zhengmin
Ji, Xinyu
Liu, Xiaowen
Han, Lei
Zhang, Hengdong
Zhu, Baoli
Xu, Ming
author_facet Gao, Yue
Jia, Yinnong
Yu, Zhengmin
Ji, Xinyu
Liu, Xiaowen
Han, Lei
Zhang, Hengdong
Zhu, Baoli
Xu, Ming
author_sort Gao, Yue
collection PubMed
description BACKGROUND: Acute myeloid leukemia (AML) is a common and lethal hematological malignant hyperplastic disease originating from hematopoietic stem cells. The purpose of this study is to obtain the key differentially expressed gene (DEG) related to the survival of AML by The Cancer Genome Atlas (TCGA) database and to verify these genes by a clinical follow-up investigation, in order to identify valuable predictive and prognostic biomarkers for early diagnosis of AML and predict the survival rates. METHODS: The RNA sequencing (RNA-Seq) data and clinical information of TCGA-LAML were downloaded from the TCGA database. After that we (1) screened the survival-related DEGs by Cox regression analysis, (2) selected the cytogenetics risk-related DEGs by DESeq2 R package, and (3) filtrated the genes in the top10 pathways of up-regulated and down-regulated of Normalization Enrichment Score (NES) by Gene Set Enrichment Analysis (GSEA). Finally, we focused the intersectional genes of above three parts as the key gene of the present study. The following Multivariate.
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spelling pubmed-99697122023-02-28 Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database Gao, Yue Jia, Yinnong Yu, Zhengmin Ji, Xinyu Liu, Xiaowen Han, Lei Zhang, Hengdong Zhu, Baoli Xu, Ming Eur J Med Res Research BACKGROUND: Acute myeloid leukemia (AML) is a common and lethal hematological malignant hyperplastic disease originating from hematopoietic stem cells. The purpose of this study is to obtain the key differentially expressed gene (DEG) related to the survival of AML by The Cancer Genome Atlas (TCGA) database and to verify these genes by a clinical follow-up investigation, in order to identify valuable predictive and prognostic biomarkers for early diagnosis of AML and predict the survival rates. METHODS: The RNA sequencing (RNA-Seq) data and clinical information of TCGA-LAML were downloaded from the TCGA database. After that we (1) screened the survival-related DEGs by Cox regression analysis, (2) selected the cytogenetics risk-related DEGs by DESeq2 R package, and (3) filtrated the genes in the top10 pathways of up-regulated and down-regulated of Normalization Enrichment Score (NES) by Gene Set Enrichment Analysis (GSEA). Finally, we focused the intersectional genes of above three parts as the key gene of the present study. The following Multivariate. BioMed Central 2023-02-27 /pmc/articles/PMC9969712/ /pubmed/36850007 http://dx.doi.org/10.1186/s40001-023-01060-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Research
Gao, Yue
Jia, Yinnong
Yu, Zhengmin
Ji, Xinyu
Liu, Xiaowen
Han, Lei
Zhang, Hengdong
Zhu, Baoli
Xu, Ming
Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database
title Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database
title_full Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database
title_fullStr Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database
title_full_unstemmed Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database
title_short Analysis of the differential expression and prognostic relationship of DEGs in AML based on TCGA database
title_sort analysis of the differential expression and prognostic relationship of degs in aml based on tcga database
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969712/
https://www.ncbi.nlm.nih.gov/pubmed/36850007
http://dx.doi.org/10.1186/s40001-023-01060-3
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