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AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report.

Biomarker research

Pogosova-Agadjanyan EL, Moseley A, Othus M, Appelbaum FR, Chauncey TR, Chen IL, Erba HP, Godwin JE, Jenkins IC, Fang M, Huynh M, Kopecky KJ, List AF, Naru J, Radich JP, Stevens E, Willborg BE, Willman CL, Wood BL, Zhang Q, Meshinchi S, Stirewalt DL.
PMID: 32817791
Biomark Res. 2020 Aug 12;8:29. doi: 10.1186/s40364-020-00208-1. eCollection 2020.

BACKGROUND: The recently updated European LeukemiaNet risk stratification guidelines combine cytogenetic abnormalities and genetic mutations to provide the means to triage patients with acute myeloid leukemia for optimal therapies. Despite the identification of many prognostic factors, relatively few have...

Cite
Pogosova-Agadjanyan EL, Moseley A, Othus M, et al. AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report. Biomark Res. 2020;8:29doi: 10.1186/s40364-020-00208-1.
Pogosova-Agadjanyan, E. L., Moseley, A., Othus, M., Appelbaum, F. R., Chauncey, T. R., Chen, I. L., Erba, H. P., Godwin, J. E., Jenkins, I. C., Fang, M., Huynh, M., Kopecky, K. J., List, A. F., Naru, J., Radich, J. P., Stevens, E., Willborg, B. E., Willman, C. L., Wood, B. L., Zhang, Q., Meshinchi, S., & Stirewalt, D. L. (2020). AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report. Biomarker research, 829. https://doi.org/10.1186/s40364-020-00208-1
Pogosova-Agadjanyan, Era L, et al. "AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report." Biomarker research vol. 8 (2020): 29. doi: https://doi.org/10.1186/s40364-020-00208-1
Pogosova-Agadjanyan EL, Moseley A, Othus M, Appelbaum FR, Chauncey TR, Chen IL, Erba HP, Godwin JE, Jenkins IC, Fang M, Huynh M, Kopecky KJ, List AF, Naru J, Radich JP, Stevens E, Willborg BE, Willman CL, Wood BL, Zhang Q, Meshinchi S, Stirewalt DL. AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report. Biomark Res. 2020 Aug 12;8:29. doi: 10.1186/s40364-020-00208-1. eCollection 2020. PMID: 32817791; PMCID: PMC7425159.
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Gene expression patterns in myelodyplasia underline the role of apoptosis and differentiation in disease initiation and progression.

Translational oncogenomics

Bar M, Stirewalt D, Pogosova-Agadjanyan E, Wagner V, Gooley T, Abbasi N, Bhatia R, Deeg HJ, Radich J.
PMID: 20396593
Transl Oncogenomics. 2008;3:137-49. Epub 2008 May 29.

The myelodysplastic syndromes (MDS) are clonal stem cell disorders, characterized by ineffective and dysplastic hematopoiesis. The genetic and epigenetic pathways that determine disease stage and progression are largely unknown. In the current study we used gene expression microarray methodology...

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Bar M, Stirewalt D, Pogosova-Agadjanyan E, et al. Gene expression patterns in myelodyplasia underline the role of apoptosis and differentiation in disease initiation and progression. Transl Oncogenomics. 2008;3:137-49
Bar, M., Stirewalt, D., Pogosova-Agadjanyan, E., Wagner, V., Gooley, T., Abbasi, N., Bhatia, R., Deeg, H. J., & Radich, J. (2008). Gene expression patterns in myelodyplasia underline the role of apoptosis and differentiation in disease initiation and progression. Translational oncogenomics, 3137-49.
Bar, Merav, et al. "Gene expression patterns in myelodyplasia underline the role of apoptosis and differentiation in disease initiation and progression." Translational oncogenomics vol. 3 (2008): 137-49.
Bar M, Stirewalt D, Pogosova-Agadjanyan E, Wagner V, Gooley T, Abbasi N, Bhatia R, Deeg HJ, Radich J. Gene expression patterns in myelodyplasia underline the role of apoptosis and differentiation in disease initiation and progression. Transl Oncogenomics. 2008;3:137-49. Epub 2008 May 29. PMID: 20396593; PMCID: PMC2854514.
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