Cargando…
Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia
The pediatric T cell acute lymphoblastic leukemia (T-ALL) still remains a cancer with worst prognosis for high recurrence. Massive studies were conducted for the leukemia relapse based on diagnosis and relapse paired samples. However, the initially diagnostic samples may contain the relapse informat...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023839/ https://www.ncbi.nlm.nih.gov/pubmed/30195757 http://dx.doi.org/10.1016/j.omtn.2018.05.003 |
_version_ | 1783335935661834240 |
---|---|
author | Luo, Mei Zhang, Qiong Xia, Mengxuan Hu, Feifei Ma, Zhaowu Chen, Zehua Guo, An-Yuan |
author_facet | Luo, Mei Zhang, Qiong Xia, Mengxuan Hu, Feifei Ma, Zhaowu Chen, Zehua Guo, An-Yuan |
author_sort | Luo, Mei |
collection | PubMed |
description | The pediatric T cell acute lymphoblastic leukemia (T-ALL) still remains a cancer with worst prognosis for high recurrence. Massive studies were conducted for the leukemia relapse based on diagnosis and relapse paired samples. However, the initially diagnostic samples may contain the relapse information and mechanism, which were rarely studied. In this study, we collected mRNA and microRNA (miRNA) data from initially diagnosed pediatric T-ALL samples with their relapse or remission status after treatment. Integrated differential co-expression and miRNA-transcription factor (TF)-gene regulatory network analyses were used to reveal the possible relapse mechanisms for pediatric T-ALL. We detected miR-1246/1248 and NOTCH2 served as key nodes in the relapse network, and they combined with TF WT1/SOX4/REL to form regulatory modules that influence the progress of T-ALL. A regulatory loop miR-429-MYCN-MFHAS1 was found potentially associated with the remission of T-ALL. Furthermore, we proved miR-1246/1248 combined with NOTCH2 could promote cell proliferation in the T-ALL cell line by experiments. Meanwhile, analysis based on the miRNA-drug relationships demonstrated that drugs 5-fluorouracil, ascorbate, and trastuzumab targeting miR-1246 could serve as potential supplements for the standard therapy. In conclusion, our findings revealed the potential molecular mechanisms of T-ALL relapse by the combination of co-expression and regulatory network, and they provide preliminary clues for precise treatment of T-ALL patients. |
format | Online Article Text |
id | pubmed-6023839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Society of Gene & Cell Therapy |
record_format | MEDLINE/PubMed |
spelling | pubmed-60238392018-06-29 Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia Luo, Mei Zhang, Qiong Xia, Mengxuan Hu, Feifei Ma, Zhaowu Chen, Zehua Guo, An-Yuan Mol Ther Nucleic Acids Article The pediatric T cell acute lymphoblastic leukemia (T-ALL) still remains a cancer with worst prognosis for high recurrence. Massive studies were conducted for the leukemia relapse based on diagnosis and relapse paired samples. However, the initially diagnostic samples may contain the relapse information and mechanism, which were rarely studied. In this study, we collected mRNA and microRNA (miRNA) data from initially diagnosed pediatric T-ALL samples with their relapse or remission status after treatment. Integrated differential co-expression and miRNA-transcription factor (TF)-gene regulatory network analyses were used to reveal the possible relapse mechanisms for pediatric T-ALL. We detected miR-1246/1248 and NOTCH2 served as key nodes in the relapse network, and they combined with TF WT1/SOX4/REL to form regulatory modules that influence the progress of T-ALL. A regulatory loop miR-429-MYCN-MFHAS1 was found potentially associated with the remission of T-ALL. Furthermore, we proved miR-1246/1248 combined with NOTCH2 could promote cell proliferation in the T-ALL cell line by experiments. Meanwhile, analysis based on the miRNA-drug relationships demonstrated that drugs 5-fluorouracil, ascorbate, and trastuzumab targeting miR-1246 could serve as potential supplements for the standard therapy. In conclusion, our findings revealed the potential molecular mechanisms of T-ALL relapse by the combination of co-expression and regulatory network, and they provide preliminary clues for precise treatment of T-ALL patients. American Society of Gene & Cell Therapy 2018-05-29 /pmc/articles/PMC6023839/ /pubmed/30195757 http://dx.doi.org/10.1016/j.omtn.2018.05.003 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Luo, Mei Zhang, Qiong Xia, Mengxuan Hu, Feifei Ma, Zhaowu Chen, Zehua Guo, An-Yuan Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia |
title | Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia |
title_full | Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia |
title_fullStr | Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia |
title_full_unstemmed | Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia |
title_short | Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia |
title_sort | differential co-expression and regulatory network analysis uncover the relapse factor and mechanism of t cell acute leukemia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023839/ https://www.ncbi.nlm.nih.gov/pubmed/30195757 http://dx.doi.org/10.1016/j.omtn.2018.05.003 |
work_keys_str_mv | AT luomei differentialcoexpressionandregulatorynetworkanalysisuncovertherelapsefactorandmechanismoftcellacuteleukemia AT zhangqiong differentialcoexpressionandregulatorynetworkanalysisuncovertherelapsefactorandmechanismoftcellacuteleukemia AT xiamengxuan differentialcoexpressionandregulatorynetworkanalysisuncovertherelapsefactorandmechanismoftcellacuteleukemia AT hufeifei differentialcoexpressionandregulatorynetworkanalysisuncovertherelapsefactorandmechanismoftcellacuteleukemia AT mazhaowu differentialcoexpressionandregulatorynetworkanalysisuncovertherelapsefactorandmechanismoftcellacuteleukemia AT chenzehua differentialcoexpressionandregulatorynetworkanalysisuncovertherelapsefactorandmechanismoftcellacuteleukemia AT guoanyuan differentialcoexpressionandregulatorynetworkanalysisuncovertherelapsefactorandmechanismoftcellacuteleukemia |