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Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001
The molecular hallmark of childhood acute lymphoblastic leukemia (ALL) is characterized by recurrent, prognostic genetic alterations, many of which are cryptic by conventional cytogenetics. RNA sequencing (RNA-seq) is a powerful next-generation sequencing technology that can simultaneously identify...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Hematology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864659/ https://www.ncbi.nlm.nih.gov/pubmed/34933343 http://dx.doi.org/10.1182/bloodadvances.2021005634 |
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author | Tran, Thai Hoa Langlois, Sylvie Meloche, Caroline Caron, Maxime Saint-Onge, Pascal Rouette, Alexandre Bataille, Alain R. Jimenez-Cortes, Camille Sontag, Thomas Bittencourt, Henrique Laverdière, Caroline Lavallée, Vincent-Philippe Leclerc, Jean-Marie Cole, Peter D. Gennarini, Lisa M. Kahn, Justine M. Kelly, Kara M. Michon, Bruno Santiago, Raoul Stevenson, Kristen E. Welch, Jennifer J. G. Schroeder, Kaitlin M. Koch, Victoria Cellot, Sonia Silverman, Lewis B. Sinnett, Daniel |
author_facet | Tran, Thai Hoa Langlois, Sylvie Meloche, Caroline Caron, Maxime Saint-Onge, Pascal Rouette, Alexandre Bataille, Alain R. Jimenez-Cortes, Camille Sontag, Thomas Bittencourt, Henrique Laverdière, Caroline Lavallée, Vincent-Philippe Leclerc, Jean-Marie Cole, Peter D. Gennarini, Lisa M. Kahn, Justine M. Kelly, Kara M. Michon, Bruno Santiago, Raoul Stevenson, Kristen E. Welch, Jennifer J. G. Schroeder, Kaitlin M. Koch, Victoria Cellot, Sonia Silverman, Lewis B. Sinnett, Daniel |
author_sort | Tran, Thai Hoa |
collection | PubMed |
description | The molecular hallmark of childhood acute lymphoblastic leukemia (ALL) is characterized by recurrent, prognostic genetic alterations, many of which are cryptic by conventional cytogenetics. RNA sequencing (RNA-seq) is a powerful next-generation sequencing technology that can simultaneously identify cryptic gene rearrangements, sequence mutations and gene expression profiles in a single assay. We examined the feasibility and utility of incorporating RNA-seq into a prospective multicenter phase 3 clinical trial for children with newly diagnosed ALL. The Dana-Farber Cancer Institute ALL Consortium Protocol 16-001 enrolled 173 patients with ALL who consented to optional studies and had samples available for RNA-seq. RNA-seq identified at least 1 alteration in 157 patients (91%). Fusion detection was 100% concordant with results obtained from conventional cytogenetic analyses. An additional 56 gene fusions were identified by RNA-seq, many of which confer prognostic or therapeutic significance. Gene expression profiling enabled further molecular classification into the following B-cell ALL (B-ALL) subgroups: high hyperdiploid (n = 36), ETV6-RUNX1/-like (n = 31), TCF3-PBX1 (n = 7), KMT2A-rearranged (KMT2A-R; n = 5), intrachromosomal amplification of chromosome 21 (iAMP21) (n = 1), hypodiploid (n = 1), Philadelphia chromosome (Ph)-positive/Ph-like (n = 16), DUX4-R (n = 11), PAX5 alterations (PAX5 alt; n = 11), PAX5 P80R (n = 1), ZNF384-R (n = 4), NUTM1-R (n = 1), MEF2D-R (n = 1), and others (n = 10). RNA-seq identified 141 nonsynonymous mutations in 93 patients (54%); the most frequent were RAS-MAPK pathway mutations. Among 79 patients with both low-density array and RNA-seq data for the Philadelphia chromosome-like gene signature prediction, results were concordant in 74 patients (94%). In conclusion, RNA-seq identified several clinically relevant genetic alterations not detected by conventional methods, which supports the integration of this technology into front-line pediatric ALL trials. This trial was registered at www.clinicaltrials.gov as #NCT03020030. |
format | Online Article Text |
id | pubmed-8864659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society of Hematology |
record_format | MEDLINE/PubMed |
spelling | pubmed-88646592022-02-23 Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001 Tran, Thai Hoa Langlois, Sylvie Meloche, Caroline Caron, Maxime Saint-Onge, Pascal Rouette, Alexandre Bataille, Alain R. Jimenez-Cortes, Camille Sontag, Thomas Bittencourt, Henrique Laverdière, Caroline Lavallée, Vincent-Philippe Leclerc, Jean-Marie Cole, Peter D. Gennarini, Lisa M. Kahn, Justine M. Kelly, Kara M. Michon, Bruno Santiago, Raoul Stevenson, Kristen E. Welch, Jennifer J. G. Schroeder, Kaitlin M. Koch, Victoria Cellot, Sonia Silverman, Lewis B. Sinnett, Daniel Blood Adv Lymphoid Neoplasia The molecular hallmark of childhood acute lymphoblastic leukemia (ALL) is characterized by recurrent, prognostic genetic alterations, many of which are cryptic by conventional cytogenetics. RNA sequencing (RNA-seq) is a powerful next-generation sequencing technology that can simultaneously identify cryptic gene rearrangements, sequence mutations and gene expression profiles in a single assay. We examined the feasibility and utility of incorporating RNA-seq into a prospective multicenter phase 3 clinical trial for children with newly diagnosed ALL. The Dana-Farber Cancer Institute ALL Consortium Protocol 16-001 enrolled 173 patients with ALL who consented to optional studies and had samples available for RNA-seq. RNA-seq identified at least 1 alteration in 157 patients (91%). Fusion detection was 100% concordant with results obtained from conventional cytogenetic analyses. An additional 56 gene fusions were identified by RNA-seq, many of which confer prognostic or therapeutic significance. Gene expression profiling enabled further molecular classification into the following B-cell ALL (B-ALL) subgroups: high hyperdiploid (n = 36), ETV6-RUNX1/-like (n = 31), TCF3-PBX1 (n = 7), KMT2A-rearranged (KMT2A-R; n = 5), intrachromosomal amplification of chromosome 21 (iAMP21) (n = 1), hypodiploid (n = 1), Philadelphia chromosome (Ph)-positive/Ph-like (n = 16), DUX4-R (n = 11), PAX5 alterations (PAX5 alt; n = 11), PAX5 P80R (n = 1), ZNF384-R (n = 4), NUTM1-R (n = 1), MEF2D-R (n = 1), and others (n = 10). RNA-seq identified 141 nonsynonymous mutations in 93 patients (54%); the most frequent were RAS-MAPK pathway mutations. Among 79 patients with both low-density array and RNA-seq data for the Philadelphia chromosome-like gene signature prediction, results were concordant in 74 patients (94%). In conclusion, RNA-seq identified several clinically relevant genetic alterations not detected by conventional methods, which supports the integration of this technology into front-line pediatric ALL trials. This trial was registered at www.clinicaltrials.gov as #NCT03020030. American Society of Hematology 2022-02-21 /pmc/articles/PMC8864659/ /pubmed/34933343 http://dx.doi.org/10.1182/bloodadvances.2021005634 Text en © 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved. |
spellingShingle | Lymphoid Neoplasia Tran, Thai Hoa Langlois, Sylvie Meloche, Caroline Caron, Maxime Saint-Onge, Pascal Rouette, Alexandre Bataille, Alain R. Jimenez-Cortes, Camille Sontag, Thomas Bittencourt, Henrique Laverdière, Caroline Lavallée, Vincent-Philippe Leclerc, Jean-Marie Cole, Peter D. Gennarini, Lisa M. Kahn, Justine M. Kelly, Kara M. Michon, Bruno Santiago, Raoul Stevenson, Kristen E. Welch, Jennifer J. G. Schroeder, Kaitlin M. Koch, Victoria Cellot, Sonia Silverman, Lewis B. Sinnett, Daniel Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001 |
title | Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001 |
title_full | Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001 |
title_fullStr | Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001 |
title_full_unstemmed | Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001 |
title_short | Whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the DFCI ALL Consortium Protocol 16-001 |
title_sort | whole-transcriptome analysis in acute lymphoblastic leukemia: a report from the dfci all consortium protocol 16-001 |
topic | Lymphoid Neoplasia |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864659/ https://www.ncbi.nlm.nih.gov/pubmed/34933343 http://dx.doi.org/10.1182/bloodadvances.2021005634 |
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