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Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia
BACKGROUND: T cell acute lymphoblastic leukemia (T-ALL) defines a group of hematological malignancies with heterogeneous aggressiveness and highly variable outcome, making therapeutic decisions a challenging task. We tried to discover new predictive model for T-ALL before treatment by using a specif...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233359/ https://www.ncbi.nlm.nih.gov/pubmed/35751016 http://dx.doi.org/10.1186/s12864-022-08688-1 |
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author | Peng, Li-Jun Zhou, Yue-Bo Geng, Mei Bourova-Flin, Ekaterina Chuffart, Florent Zhang, Wei-Na Wang, Tao Gao, Meng-Qing Xi, Meng-Ping Cheng, Zhong-Yi Zhang, Jiao-Jiao Liu, Yuan-Fang Chen, Bing Khochbin, Saadi Wang, Jin Rousseaux, Sophie Mi, Jian-Qing |
author_facet | Peng, Li-Jun Zhou, Yue-Bo Geng, Mei Bourova-Flin, Ekaterina Chuffart, Florent Zhang, Wei-Na Wang, Tao Gao, Meng-Qing Xi, Meng-Ping Cheng, Zhong-Yi Zhang, Jiao-Jiao Liu, Yuan-Fang Chen, Bing Khochbin, Saadi Wang, Jin Rousseaux, Sophie Mi, Jian-Qing |
author_sort | Peng, Li-Jun |
collection | PubMed |
description | BACKGROUND: T cell acute lymphoblastic leukemia (T-ALL) defines a group of hematological malignancies with heterogeneous aggressiveness and highly variable outcome, making therapeutic decisions a challenging task. We tried to discover new predictive model for T-ALL before treatment by using a specific pipeline designed to discover aberrantly active gene. RESULTS: The expression of 18 genes was significantly associated with shorter survival, including ACTRT2, GOT1L1, SPATA45, TOPAZ1 and ZPBP (5-GEC), which were used as a basis to design a prognostic classifier for T-ALL patients. The molecular characterization of the 5-GEC positive T-ALL unveiled specific characteristics inherent to the most aggressive T leukemic cells, including a drastic shut-down of genes located on the mitochondrial genome and an upregulation of histone genes, the latter characterizing high risk forms in adult patients. These cases fail to respond to the induction treatment, since 5-GEC either predicted positive minimal residual disease (MRD) or a short-term relapse in MRD negative patients. CONCLUSION: Overall, our investigations led to the discovery of a homogenous group of leukemic cells with profound alterations of their biology. It also resulted in an accurate predictive tool that could significantly improve the management of T-ALL patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08688-1. |
format | Online Article Text |
id | pubmed-9233359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92333592022-06-26 Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia Peng, Li-Jun Zhou, Yue-Bo Geng, Mei Bourova-Flin, Ekaterina Chuffart, Florent Zhang, Wei-Na Wang, Tao Gao, Meng-Qing Xi, Meng-Ping Cheng, Zhong-Yi Zhang, Jiao-Jiao Liu, Yuan-Fang Chen, Bing Khochbin, Saadi Wang, Jin Rousseaux, Sophie Mi, Jian-Qing BMC Genomics Research BACKGROUND: T cell acute lymphoblastic leukemia (T-ALL) defines a group of hematological malignancies with heterogeneous aggressiveness and highly variable outcome, making therapeutic decisions a challenging task. We tried to discover new predictive model for T-ALL before treatment by using a specific pipeline designed to discover aberrantly active gene. RESULTS: The expression of 18 genes was significantly associated with shorter survival, including ACTRT2, GOT1L1, SPATA45, TOPAZ1 and ZPBP (5-GEC), which were used as a basis to design a prognostic classifier for T-ALL patients. The molecular characterization of the 5-GEC positive T-ALL unveiled specific characteristics inherent to the most aggressive T leukemic cells, including a drastic shut-down of genes located on the mitochondrial genome and an upregulation of histone genes, the latter characterizing high risk forms in adult patients. These cases fail to respond to the induction treatment, since 5-GEC either predicted positive minimal residual disease (MRD) or a short-term relapse in MRD negative patients. CONCLUSION: Overall, our investigations led to the discovery of a homogenous group of leukemic cells with profound alterations of their biology. It also resulted in an accurate predictive tool that could significantly improve the management of T-ALL patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08688-1. BioMed Central 2022-06-24 /pmc/articles/PMC9233359/ /pubmed/35751016 http://dx.doi.org/10.1186/s12864-022-08688-1 Text en © The Author(s) 2022 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 Peng, Li-Jun Zhou, Yue-Bo Geng, Mei Bourova-Flin, Ekaterina Chuffart, Florent Zhang, Wei-Na Wang, Tao Gao, Meng-Qing Xi, Meng-Ping Cheng, Zhong-Yi Zhang, Jiao-Jiao Liu, Yuan-Fang Chen, Bing Khochbin, Saadi Wang, Jin Rousseaux, Sophie Mi, Jian-Qing Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia |
title | Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia |
title_full | Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia |
title_fullStr | Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia |
title_full_unstemmed | Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia |
title_short | Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia |
title_sort | ectopic expression of a combination of 5 genes detects high risk forms of t-cell acute lymphoblastic leukemia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233359/ https://www.ncbi.nlm.nih.gov/pubmed/35751016 http://dx.doi.org/10.1186/s12864-022-08688-1 |
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