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High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL
BACKGROUND: Despite much improvement in the treatment for acute lymphoblastic leukemia (ALL), childhood ALLs with MLL-rearrangement (MLL-r) still have inferior dismal prognosis. Thus, defining mechanisms underlying MLL-r ALL maintenance is critical for developing effective therapy. METHODS: GSE13159...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685382/ https://www.ncbi.nlm.nih.gov/pubmed/34938655 http://dx.doi.org/10.3389/fonc.2021.755188 |
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author | Wang, Lu-Lu Yan, Dehong Tang, Xue Zhang, Mengqi Liu, Shilin Wang, Ying Zhang, Min Zhou, Guichi Li, Tonghui Jiang, Feifei Chen, Xiaowen Wen, Feiqiu Liu, Sixi Mai, Huirong |
author_facet | Wang, Lu-Lu Yan, Dehong Tang, Xue Zhang, Mengqi Liu, Shilin Wang, Ying Zhang, Min Zhou, Guichi Li, Tonghui Jiang, Feifei Chen, Xiaowen Wen, Feiqiu Liu, Sixi Mai, Huirong |
author_sort | Wang, Lu-Lu |
collection | PubMed |
description | BACKGROUND: Despite much improvement in the treatment for acute lymphoblastic leukemia (ALL), childhood ALLs with MLL-rearrangement (MLL-r) still have inferior dismal prognosis. Thus, defining mechanisms underlying MLL-r ALL maintenance is critical for developing effective therapy. METHODS: GSE13159 and GSE28497 were selected via the Oncomine website. Differentially expressed genes (DEGs) between MLL-r ALLs and normal samples were identified by R software. Next, functional enrichment analysis of these DEGs were carried out by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Then, the key hub genes and modules were identified by Weighted Gene Co-expression Network Analysis (WGCNA). Therapeutically Applicable Research to Generate Effective Treatments (TARGET) ALL (Phase I) of UCSC Xena analysis, qPCR, and Kaplan-Meier analysis were conducted for validating the expression of key hub genes from bone marrow cells of childhood ALL patients or ALL cell lines. RESULTS: A total of 1,045 DEGs were identified from GSE13159 and GSE28497. Through GO, KEGG, GSEA, and STRING analysis, we demonstrated that MLL-r ALLs were upregulating “nucleosome assembly” and “B cell receptor signal pathway” genes or proteins. WGCNA analysis found 18 gene modules using hierarchical clustering between MLL-r ALLs and normal. The Venn diagram was used to filter the 98 hub genes found in the key module with the 1,045 DEGs. We identified 18 hub genes from this process, 9 of which were found to be correlated with MLL-r status, using the UCSC Xena analysis. By using qPCR, we validated these 9 hub key genes to be upregulated in the MLL-r ALLs (RS4;11 and SEM) compared to the non-MLL-r ALL (RCH-ACV) cell lines. Three of these genes, BCL11A, GLT8D1 and NCBP2, were shown to be increased in MLL-r ALL patient bone marrows compared to the non-MLL-r ALL patient. Finally, Kaplan–Meier analysis indicated that childhood ALL patients with high BCL11A expression had significantly poor overall survival. CONCLUSION: These findings suggest that upregulated BCL11A gene expression in childhood ALLs may lead to MLL-r ALL development and BCL11A represents a new potential therapeutic target for childhood MLL-r ALL. |
format | Online Article Text |
id | pubmed-8685382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86853822021-12-21 High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL Wang, Lu-Lu Yan, Dehong Tang, Xue Zhang, Mengqi Liu, Shilin Wang, Ying Zhang, Min Zhou, Guichi Li, Tonghui Jiang, Feifei Chen, Xiaowen Wen, Feiqiu Liu, Sixi Mai, Huirong Front Oncol Oncology BACKGROUND: Despite much improvement in the treatment for acute lymphoblastic leukemia (ALL), childhood ALLs with MLL-rearrangement (MLL-r) still have inferior dismal prognosis. Thus, defining mechanisms underlying MLL-r ALL maintenance is critical for developing effective therapy. METHODS: GSE13159 and GSE28497 were selected via the Oncomine website. Differentially expressed genes (DEGs) between MLL-r ALLs and normal samples were identified by R software. Next, functional enrichment analysis of these DEGs were carried out by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Then, the key hub genes and modules were identified by Weighted Gene Co-expression Network Analysis (WGCNA). Therapeutically Applicable Research to Generate Effective Treatments (TARGET) ALL (Phase I) of UCSC Xena analysis, qPCR, and Kaplan-Meier analysis were conducted for validating the expression of key hub genes from bone marrow cells of childhood ALL patients or ALL cell lines. RESULTS: A total of 1,045 DEGs were identified from GSE13159 and GSE28497. Through GO, KEGG, GSEA, and STRING analysis, we demonstrated that MLL-r ALLs were upregulating “nucleosome assembly” and “B cell receptor signal pathway” genes or proteins. WGCNA analysis found 18 gene modules using hierarchical clustering between MLL-r ALLs and normal. The Venn diagram was used to filter the 98 hub genes found in the key module with the 1,045 DEGs. We identified 18 hub genes from this process, 9 of which were found to be correlated with MLL-r status, using the UCSC Xena analysis. By using qPCR, we validated these 9 hub key genes to be upregulated in the MLL-r ALLs (RS4;11 and SEM) compared to the non-MLL-r ALL (RCH-ACV) cell lines. Three of these genes, BCL11A, GLT8D1 and NCBP2, were shown to be increased in MLL-r ALL patient bone marrows compared to the non-MLL-r ALL patient. Finally, Kaplan–Meier analysis indicated that childhood ALL patients with high BCL11A expression had significantly poor overall survival. CONCLUSION: These findings suggest that upregulated BCL11A gene expression in childhood ALLs may lead to MLL-r ALL development and BCL11A represents a new potential therapeutic target for childhood MLL-r ALL. Frontiers Media S.A. 2021-12-06 /pmc/articles/PMC8685382/ /pubmed/34938655 http://dx.doi.org/10.3389/fonc.2021.755188 Text en Copyright © 2021 Wang, Yan, Tang, Zhang, Liu, Wang, Zhang, Zhou, Li, Jiang, Chen, Wen, Liu and Mai https://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 Wang, Lu-Lu Yan, Dehong Tang, Xue Zhang, Mengqi Liu, Shilin Wang, Ying Zhang, Min Zhou, Guichi Li, Tonghui Jiang, Feifei Chen, Xiaowen Wen, Feiqiu Liu, Sixi Mai, Huirong High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL |
title | High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL |
title_full | High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL |
title_fullStr | High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL |
title_full_unstemmed | High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL |
title_short | High Expression of BCL11A Predicts Poor Prognosis for Childhood MLL-r ALL |
title_sort | high expression of bcl11a predicts poor prognosis for childhood mll-r all |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685382/ https://www.ncbi.nlm.nih.gov/pubmed/34938655 http://dx.doi.org/10.3389/fonc.2021.755188 |
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