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A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia
Abnormal gene expression in cancer represents an under-explored source of cancer markers and therapeutic targets. In order to identify gene expression signatures associated with survival in acute lymphoblastic leukemia (ALL), a strategy was designed to search for aberrant gene activity, which consis...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599287/ https://www.ncbi.nlm.nih.gov/pubmed/26001296 |
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author | Wang, Jin Mi, Jian-Qing Debernardi, Alexandra Vitte, Anne-Laure Emadali, Anouk Meyer, Julia A. Charmpi, Konstantina Ycart, Bernard Callanan, Mary B. Carroll, William L. Khochbin, Saadi Rousseaux, Sophie |
author_facet | Wang, Jin Mi, Jian-Qing Debernardi, Alexandra Vitte, Anne-Laure Emadali, Anouk Meyer, Julia A. Charmpi, Konstantina Ycart, Bernard Callanan, Mary B. Carroll, William L. Khochbin, Saadi Rousseaux, Sophie |
author_sort | Wang, Jin |
collection | PubMed |
description | Abnormal gene expression in cancer represents an under-explored source of cancer markers and therapeutic targets. In order to identify gene expression signatures associated with survival in acute lymphoblastic leukemia (ALL), a strategy was designed to search for aberrant gene activity, which consists of applying several filters to transcriptomic datasets from two pediatric ALL studies. Six genes whose expression in leukemic blasts was associated with prognosis were identified:three genes predicting poor prognosis (AK022211, FASTKD1 and STARD4) and three genes associated with a favorable outcome (CAMSAP1, PCGF6 and SH3RF3). Combining the expression of these 6 genes could successfully predict prognosis not only in the two discovery pediatric ALL studies, but also in two independent validation cohorts of adult patients, one from a publicly available study and one consisting of 62 newly recruited Chinese patients. Moreover, our data demonstrate that our six gene based test is particularly efficient in stratifying MLL or BCR.ABL negative patients. Finally, common biological traits characterizing aggressive forms of ALL in both children and adults were found, including features of dormant hematopoietic stem cells, suggesting new therapeutic strategies. |
format | Online Article Text |
id | pubmed-4599287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-45992872015-10-26 A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia Wang, Jin Mi, Jian-Qing Debernardi, Alexandra Vitte, Anne-Laure Emadali, Anouk Meyer, Julia A. Charmpi, Konstantina Ycart, Bernard Callanan, Mary B. Carroll, William L. Khochbin, Saadi Rousseaux, Sophie Oncotarget Research Paper Abnormal gene expression in cancer represents an under-explored source of cancer markers and therapeutic targets. In order to identify gene expression signatures associated with survival in acute lymphoblastic leukemia (ALL), a strategy was designed to search for aberrant gene activity, which consists of applying several filters to transcriptomic datasets from two pediatric ALL studies. Six genes whose expression in leukemic blasts was associated with prognosis were identified:three genes predicting poor prognosis (AK022211, FASTKD1 and STARD4) and three genes associated with a favorable outcome (CAMSAP1, PCGF6 and SH3RF3). Combining the expression of these 6 genes could successfully predict prognosis not only in the two discovery pediatric ALL studies, but also in two independent validation cohorts of adult patients, one from a publicly available study and one consisting of 62 newly recruited Chinese patients. Moreover, our data demonstrate that our six gene based test is particularly efficient in stratifying MLL or BCR.ABL negative patients. Finally, common biological traits characterizing aggressive forms of ALL in both children and adults were found, including features of dormant hematopoietic stem cells, suggesting new therapeutic strategies. Impact Journals LLC 2015-05-12 /pmc/articles/PMC4599287/ /pubmed/26001296 Text en Copyright: © 2015 Wang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Wang, Jin Mi, Jian-Qing Debernardi, Alexandra Vitte, Anne-Laure Emadali, Anouk Meyer, Julia A. Charmpi, Konstantina Ycart, Bernard Callanan, Mary B. Carroll, William L. Khochbin, Saadi Rousseaux, Sophie A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia |
title | A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia |
title_full | A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia |
title_fullStr | A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia |
title_full_unstemmed | A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia |
title_short | A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia |
title_sort | six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599287/ https://www.ncbi.nlm.nih.gov/pubmed/26001296 |
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