The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse
Open accessAbstract
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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Cites
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499
Recurring mutations found by sequencing an acute myeloid leukemia genome
Mardis, E. R., Ding, L., Dooling, D. J., Larson, D. E., McLellan, M. D., Chen, K., Koboldt, D. C., Fulton, R. S., Delehaunty, K. D., McGrath, S. D., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0903840 · Cited by 2,219
Self-citationDNMT3A Mutations in Acute Myeloid Leukemia
Ley, T. J., Ding, L., Walter, M. J., McLellan, M. D., Lamprecht, T., Larson, D. E., Kandoth, C., Payton, J. E., Baty, J., Welch, J., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1005143 · Cited by 1,983
Identification of pre-leukaemic haematopoietic stem cells in acute leukaemia
Shlush, L. I., Zandi, S., Mitchell, A., Chen, W. C., Brandwein, J. M., Gupta, V., Kennedy, J. A., Schimmer, A. D., Schuh, A. C., Yee, K. W., et al. (2014) · Nature · doi:10.1038/nature13038 · Cited by 1,443
Cited by
Bolouri, H., Farrar, J. E., Triche, T., Ries, R. E., Lim, E. L., Alonzo, T. A., Ma, Y., Moore, R., Mungall, A. J., Marra, M. A., et al. (2018) · Nature Medicine · doi:10.1038/nm.4439 · Cited by 848
Self-citationClonal heterogeneity of acute myeloid leukemia treated with the IDH2 inhibitor enasidenib
Quek, L., David, M. D., Kennedy, A., Metzner, M., Amatangelo, M., Shih, A., Stoilova, B., Quivoron, C., Heiblig, M., Willekens, C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0115-6 · Cited by 200
Genomic subtyping and therapeutic targeting of acute erythroleukemia
Iacobucci, I., Wen, J., Meggendorfer, M., Choi, J. K., Shi, L., Pounds, S. B., Carmichael, C. L., Masih, K. E., Morris, S. M., Lindsley, R. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0375-1 · Cited by 155
Self-citationMLL-AF9 initiates transformation from fast-proliferating myeloid progenitors
Chen, X., Burkhardt, D. B., Hartman, A. A., Hu, X., Eastman, A. E., Sun, C., Wang, X., Zhong, M., Krishnaswamy, S., & Guo, S. (2019) · Nature Communications · doi:10.1038/s41467-019-13666-5 · Cited by 58
Metadata
- Authors
- Farrar, J. E., Schuback, H. L., Ries, R. E., Wai, D., Hampton, O. A., Trevino, 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.
- Venue
- Cancer Research
- Published
- 2016-04-14
- Volume
- 76
- Issue
- 8
- Pages
- 2197-2205
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2290344215
- Cited by
- 163
- References
- 4
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Farrar, J. E., Schuback, H. L., Ries, R. E., Wai, D., Hampton, O. A., Trevino, 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. (2016). Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse. Cancer Research. https://doi.org/10.1158/0008-5472.can-15-1015
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