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PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma

OBJECTIVE: Diffuse large B-cell lymphoma (DLBCL) is an aggressive type of non-Hodgkin lymphoma. Due to its genetic heterogeneity and abnormal metabolism, many DLBCL patients have a poor prognosis. This study investigated the key metabolism-related genes and potential mechanisms. METHODS: Differentia...

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Autores principales: Chen, Tian-rui, Cao, Huang-ming, Wu, Yin, Xie, Jiang-tao, Lan, Hai-feng, Jin, Li-na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Huazhong University of Science and Technology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362366/
https://www.ncbi.nlm.nih.gov/pubmed/35943680
http://dx.doi.org/10.1007/s11596-022-2612-6
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author Chen, Tian-rui
Cao, Huang-ming
Wu, Yin
Xie, Jiang-tao
Lan, Hai-feng
Jin, Li-na
author_facet Chen, Tian-rui
Cao, Huang-ming
Wu, Yin
Xie, Jiang-tao
Lan, Hai-feng
Jin, Li-na
author_sort Chen, Tian-rui
collection PubMed
description OBJECTIVE: Diffuse large B-cell lymphoma (DLBCL) is an aggressive type of non-Hodgkin lymphoma. Due to its genetic heterogeneity and abnormal metabolism, many DLBCL patients have a poor prognosis. This study investigated the key metabolism-related genes and potential mechanisms. METHODS: Differentially expressed genes, differentially expressed transcription factors (TFs), and differentially expressed metabolism-related genes (DEMRGs) of glucose and lipid metabolic processes were identified using the edgeR package. Key DEMRGs were screened by Lasso regression, and a prediction model was constructed. The cell type identification by estimating relative subsets of RNA transcripts algorithm was utilized to assess the fraction of immune cells, and Gene Set Enrichment Analysis was used to determine immune-related pathways. A regulatory network was constructed with significant co-expression interactions among TFs, DEMRGs, immune cells/pathways, and hallmark pathways. RESULTS: A total of 1551 DEMRGs were identified. A prognostic model with a high applicability (area under the curve=0.921) was constructed with 13 DEMRGs. Tumorigenesis of DLBCL was highly related to the neutrophil count. Four DEMRGs (PRXL2AB, CCN1, DECR2 and PHOSPHO1) with 32 TF—DEMRG, 36 DEMRG—pathway, 14 DEMRG—immune-cell, 9 DEMRG—immune-gene-set, and 67 DEMRG—protein-chip interactions were used to construct the regulatory network. CONCLUSION: We provided a prognostic prediction model based on 13 DEMRGs for DLBCL. We found that phosphatase, orphan 1 (PHOSPHO1) is positively regulated by regulatory factor X5 (RFX5) and mediates MYC proto-oncogene (MYC) targeting the V2 pathway and neutrophils.
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spelling pubmed-93623662022-08-10 PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma Chen, Tian-rui Cao, Huang-ming Wu, Yin Xie, Jiang-tao Lan, Hai-feng Jin, Li-na Curr Med Sci Article OBJECTIVE: Diffuse large B-cell lymphoma (DLBCL) is an aggressive type of non-Hodgkin lymphoma. Due to its genetic heterogeneity and abnormal metabolism, many DLBCL patients have a poor prognosis. This study investigated the key metabolism-related genes and potential mechanisms. METHODS: Differentially expressed genes, differentially expressed transcription factors (TFs), and differentially expressed metabolism-related genes (DEMRGs) of glucose and lipid metabolic processes were identified using the edgeR package. Key DEMRGs were screened by Lasso regression, and a prediction model was constructed. The cell type identification by estimating relative subsets of RNA transcripts algorithm was utilized to assess the fraction of immune cells, and Gene Set Enrichment Analysis was used to determine immune-related pathways. A regulatory network was constructed with significant co-expression interactions among TFs, DEMRGs, immune cells/pathways, and hallmark pathways. RESULTS: A total of 1551 DEMRGs were identified. A prognostic model with a high applicability (area under the curve=0.921) was constructed with 13 DEMRGs. Tumorigenesis of DLBCL was highly related to the neutrophil count. Four DEMRGs (PRXL2AB, CCN1, DECR2 and PHOSPHO1) with 32 TF—DEMRG, 36 DEMRG—pathway, 14 DEMRG—immune-cell, 9 DEMRG—immune-gene-set, and 67 DEMRG—protein-chip interactions were used to construct the regulatory network. CONCLUSION: We provided a prognostic prediction model based on 13 DEMRGs for DLBCL. We found that phosphatase, orphan 1 (PHOSPHO1) is positively regulated by regulatory factor X5 (RFX5) and mediates MYC proto-oncogene (MYC) targeting the V2 pathway and neutrophils. Huazhong University of Science and Technology 2022-08-09 2022 /pmc/articles/PMC9362366/ /pubmed/35943680 http://dx.doi.org/10.1007/s11596-022-2612-6 Text en © Huazhong University of Science and Technology 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Chen, Tian-rui
Cao, Huang-ming
Wu, Yin
Xie, Jiang-tao
Lan, Hai-feng
Jin, Li-na
PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma
title PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma
title_full PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma
title_fullStr PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma
title_full_unstemmed PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma
title_short PHOSPHO1 Serves as a Key Metabolism-Related Biomarker in the Tumorigenesis of Diffuse Large B-cell Lymphoma
title_sort phospho1 serves as a key metabolism-related biomarker in the tumorigenesis of diffuse large b-cell lymphoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362366/
https://www.ncbi.nlm.nih.gov/pubmed/35943680
http://dx.doi.org/10.1007/s11596-022-2612-6
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