Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemia

This study mainly used The Cancer Genome Atlas (TCGA) RNA sequencing dataset to screen prognostic snoRNAs of acute myeloid leukemia (AML), and used for the construction of prognostic snoRNAs signature for AML. A total of 130 AML patients with RNA sequencing dataset were used for prognostic snoRNAs s...

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Main Authors: Rui Huang, Xiwen Liao, Qiaochuan Li
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022112?viewType=HTML
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author Rui Huang
Xiwen Liao
Qiaochuan Li
author_facet Rui Huang
Xiwen Liao
Qiaochuan Li
author_sort Rui Huang
collection DOAJ
description This study mainly used The Cancer Genome Atlas (TCGA) RNA sequencing dataset to screen prognostic snoRNAs of acute myeloid leukemia (AML), and used for the construction of prognostic snoRNAs signature for AML. A total of 130 AML patients with RNA sequencing dataset were used for prognostic snoRNAs screenning. SnoRNAs co-expressed genes and differentially expressed genes (DEGs) were used for functional annotation, as well as gene set enrichment analysis (GSEA). Connectivity Map (CMap) also used for potential targeted drugs screening. Through genome-wide screening, we identified 30 snoRNAs that were significantly associated with the prognosis of AML. Then we used the step function to screen a prognostic signature composed of 14 snoRNAs (SNORD72, SNORD38, U3, SNORA73B, SNORD79, SNORA73, SNORD12B, SNORA74, SNORD116-12, SNORA65, SNORA14, snoU13, SNORA75, SNORA31), which can significantly divide AML patients into high- and low-risk groups. Through GSEA, snoRNAs co-expressed genes and DEGs functional enrichment analysis, we screened a large number of potential functional mechanisms of this prognostic signature in AML, such as phosphatidylinositol 3-kinase-Akt, Wnt, epithelial to mesenchymal transition, T cell receptors, NF-kappa B, mTOR and other classic cancer-related signaling pathways. In the subsequent targeted drug screening using CMap, we also identified six drugs that can be used for AML targeted therapy, they were alimemazine, MG-262, fluoxetine, quipazine, naltrexone and oxybenzone. In conclusion, our current study was constructed an AML prognostic signature based on the 14 prognostic snoRNAs, which may serve as a novel prognostic biomarker for AML.
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spelling doaj.art-60bb671840314f55b65e0e77dd5a5d2d2022-12-22T00:04:19ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-01-011932424245210.3934/mbe.2022112Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemiaRui Huang0Xiwen Liao1Qiaochuan Li 21. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China2. Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China1. Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, ChinaThis study mainly used The Cancer Genome Atlas (TCGA) RNA sequencing dataset to screen prognostic snoRNAs of acute myeloid leukemia (AML), and used for the construction of prognostic snoRNAs signature for AML. A total of 130 AML patients with RNA sequencing dataset were used for prognostic snoRNAs screenning. SnoRNAs co-expressed genes and differentially expressed genes (DEGs) were used for functional annotation, as well as gene set enrichment analysis (GSEA). Connectivity Map (CMap) also used for potential targeted drugs screening. Through genome-wide screening, we identified 30 snoRNAs that were significantly associated with the prognosis of AML. Then we used the step function to screen a prognostic signature composed of 14 snoRNAs (SNORD72, SNORD38, U3, SNORA73B, SNORD79, SNORA73, SNORD12B, SNORA74, SNORD116-12, SNORA65, SNORA14, snoU13, SNORA75, SNORA31), which can significantly divide AML patients into high- and low-risk groups. Through GSEA, snoRNAs co-expressed genes and DEGs functional enrichment analysis, we screened a large number of potential functional mechanisms of this prognostic signature in AML, such as phosphatidylinositol 3-kinase-Akt, Wnt, epithelial to mesenchymal transition, T cell receptors, NF-kappa B, mTOR and other classic cancer-related signaling pathways. In the subsequent targeted drug screening using CMap, we also identified six drugs that can be used for AML targeted therapy, they were alimemazine, MG-262, fluoxetine, quipazine, naltrexone and oxybenzone. In conclusion, our current study was constructed an AML prognostic signature based on the 14 prognostic snoRNAs, which may serve as a novel prognostic biomarker for AML.https://www.aimspress.com/article/doi/10.3934/mbe.2022112?viewType=HTMLsmall nucleolar rnarna sequencingacute myeloid leukemiathe cancer genome atlasprognostic signature
spellingShingle Rui Huang
Xiwen Liao
Qiaochuan Li
Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemia
Mathematical Biosciences and Engineering
small nucleolar rna
rna sequencing
acute myeloid leukemia
the cancer genome atlas
prognostic signature
title Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemia
title_full Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemia
title_fullStr Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemia
title_full_unstemmed Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemia
title_short Integrative genomic analysis of a novel small nucleolar RNAs prognostic signature in patients with acute myelocytic leukemia
title_sort integrative genomic analysis of a novel small nucleolar rnas prognostic signature in patients with acute myelocytic leukemia
topic small nucleolar rna
rna sequencing
acute myeloid leukemia
the cancer genome atlas
prognostic signature
url https://www.aimspress.com/article/doi/10.3934/mbe.2022112?viewType=HTML
work_keys_str_mv AT ruihuang integrativegenomicanalysisofanovelsmallnucleolarrnasprognosticsignatureinpatientswithacutemyelocyticleukemia
AT xiwenliao integrativegenomicanalysisofanovelsmallnucleolarrnasprognosticsignatureinpatientswithacutemyelocyticleukemia
AT qiaochuanli integrativegenomicanalysisofanovelsmallnucleolarrnasprognosticsignatureinpatientswithacutemyelocyticleukemia