volume 76 issue 8 pages 2197-2205

Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse

Jason E Farrar 1, 2
Heather L Schuback 3
Rhonda E. Ries 3
Daniel Wai 4
Oliver A. Hampton 5
Lisa R. Treviño 5, 6
Todd A. Alonzo 2, 7
Jaime M. Guidry Auvil 8
Tanja M Davidsen 9
Patee Gesuwan 9
Leandro Hermida 9
Donna M. Muzny 5
Ninad Dewal 5
Navin Rustagi 5
Lora R Lewis 5
Alan S. Gamis 10
David A. Wheeler 5
Malcolm A Smith 11
Daniela S. Gerhard 8
Soheil Meshinchi 2, 3
Publication typeJournal Article
Publication date2016-04-14
scimago Q1
wos Q1
SJR3.879
CiteScore17.8
Impact factor16.6
ISSN00085472, 15387445
Cancer Research
Oncology
Abstract

The genomic and clinical information used to develop and implement therapeutic approaches for acute myelogenous leukemia (AML) originated primarily from adult patients and has been generalized to patients with pediatric AML. However, age-specific molecular alterations are becoming more evident and may signify the need to age-stratify treatment regimens. The NCI/COG TARGET-AML initiative used whole exome capture sequencing (WXS) to interrogate the genomic landscape of matched trios representing specimens collected upon diagnosis, remission, and relapse from 20 cases of de novo childhood AML. One hundred forty-five somatic variants at diagnosis (median 6 mutations/patient) and 149 variants at relapse (median 6.5 mutations) were identified and verified by orthogonal methodologies. Recurrent somatic variants [in (greater than or equal to) 2 patients] were identified for 10 genes (FLT3, NRAS, PTPN11, WT1, TET2, DHX15, DHX30, KIT, ETV6, KRAS), with variable persistence at relapse. The variant allele fraction (VAF), used to measure the prevalence of somatic mutations, varied widely at diagnosis. Mutations that persisted from diagnosis to relapse had a significantly higher diagnostic VAF compared with those that resolved at relapse (median VAF 0.43 vs. 0.24, P < 0.001). Further analysis revealed that 90% of the diagnostic variants with VAF >0.4 persisted to relapse compared with 28% with VAF <0.2 (P < 0.001). This study demonstrates significant variability in the mutational profile and clonal evolution of pediatric AML from diagnosis to relapse. Furthermore, mutations with high VAF at diagnosis, representing variants shared across a leukemic clonal structure, may constrain the genomic landscape at relapse and help to define key pathways for therapeutic targeting. Cancer Res; 76(8); 2197–205. ©2016 AACR.

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GOST |
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GOST Copy
Farrar J. E. et al. Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse // Cancer Research. 2016. Vol. 76. No. 8. pp. 2197-2205.
GOST all authors (up to 50) Copy
Farrar J. E., Schuback H. L., Ries R. E., Wai D., Hampton O. A., Treviño L. R., Alonzo T. A., Guidry Auvil J. M., Davidsen T. M., Gesuwan P., Hermida L., Muzny D. M., Dewal N., Rustagi N., Lewis L. R., Gamis A. S., Wheeler D. A., Smith M. A., Gerhard D. S., Meshinchi S. Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse // Cancer Research. 2016. Vol. 76. No. 8. pp. 2197-2205.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1158/0008-5472.can-15-1015
UR - https://doi.org/10.1158/0008-5472.can-15-1015
TI - Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse
T2 - Cancer Research
AU - Farrar, Jason E
AU - Schuback, Heather L
AU - Ries, Rhonda E.
AU - Wai, Daniel
AU - Hampton, Oliver A.
AU - Treviño, Lisa R.
AU - Alonzo, Todd A.
AU - Guidry Auvil, Jaime M.
AU - Davidsen, Tanja M
AU - Gesuwan, Patee
AU - Hermida, Leandro
AU - Muzny, Donna M.
AU - Dewal, Ninad
AU - Rustagi, Navin
AU - Lewis, Lora R
AU - Gamis, Alan S.
AU - Wheeler, David A.
AU - Smith, Malcolm A
AU - Gerhard, Daniela S.
AU - Meshinchi, Soheil
PY - 2016
DA - 2016/04/14
PB - American Association for Cancer Research (AACR)
SP - 2197-2205
IS - 8
VL - 76
PMID - 26941285
SN - 0008-5472
SN - 1538-7445
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2016_Farrar,
author = {Jason E Farrar and Heather L Schuback and Rhonda E. Ries and Daniel Wai and Oliver A. Hampton and Lisa R. Treviño and Todd A. Alonzo and Jaime M. Guidry Auvil and Tanja M Davidsen and Patee Gesuwan and Leandro Hermida and Donna M. Muzny and Ninad Dewal and Navin Rustagi and Lora R Lewis and Alan S. Gamis and David A. Wheeler and Malcolm A Smith and Daniela S. Gerhard and Soheil Meshinchi},
title = {Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse},
journal = {Cancer Research},
year = {2016},
volume = {76},
publisher = {American Association for Cancer Research (AACR)},
month = {apr},
url = {https://doi.org/10.1158/0008-5472.can-15-1015},
number = {8},
pages = {2197--2205},
doi = {10.1158/0008-5472.can-15-1015}
}
MLA
Cite this
MLA Copy
Farrar, Jason E., et al. “Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse.” Cancer Research, vol. 76, no. 8, Apr. 2016, pp. 2197-2205. https://doi.org/10.1158/0008-5472.can-15-1015.