HSC commitment-associated epigenetic signature is prognostic in acute myeloid leukemia.
Acute myeloid leukemia (AML) is characterized by disruption of HSC and progenitor cell differentiation. Frequently, AML is associated with mutations in genes encoding epigenetic modifiers. We hypothesized that analysis of alterations in DNA methylation patterns during healthy HSC commitment and differentiation would yield epigenetic signatures that could be used to identify stage-specific prognostic subgroups of AML. We performed a nano HpaII-tiny-fragment-enrichment-by-ligation-mediated-PCR (nanoHELP) assay to compare genome-wide cytosine methylation profiles between highly purified human long-term HSC, short-term HSC, common myeloid progenitors, and megakaryocyte-erythrocyte progenitors. We observed that the most striking epigenetic changes occurred during the commitment of short-term HSC to common myeloid progenitors and these alterations were predominantly characterized by loss of methylation. We developed a metric of the HSC commitment–associated methylation pattern that proved to be highly prognostic of overall survival in 3 independent large AML patient cohorts, regardless of patient treatment and epigenetic mutations. Application of the epigenetic signature metric for AML prognosis was superior to evaluation of commitment-based gene expression signatures. Together, our data define a stem cell commitment–associated methylome that is independently prognostic of poorer overall survival in AML.
Boris
B
Bartholdy
Maximilian
M
Christopeit
Britta
B
Will
Yongkai
Y
Mo
Laura
L
Barreyro
Yiting
Y
Yu
Tushar D
TD
Bhagat
Ujunwa C
UC
Okoye-Okafor
Tihomira I
TI
Todorova
John M
JM
Greally
Ross L
RL
Levine
Ari
A
Melnick
Amit
A
Verma
Ulrich
U
Steidl
D002454:Cell Differentiation; D019175:DNA Methylation; D044127:Epigenesis, Genetic; D006412:Hematopoietic Stem Cells / Q000502:physiology*; D006801:Humans; D053208:Kaplan-Meier Estimate; D015470:Leukemia, Myeloid, Acute / Q000235:genetics / Q000378:metabolism / Q000401:mortality / Q000473:pathology*; D011379:Prognosis; D016016:Proportional Hazards Models; D059467:Transcriptome