AML Flashcards

1
Q

FLT3:

A
  • Present in nearly 1/3 of AML patients
  • Results in constitutive activation and downstream signaling thru RAS/RAF/MEK pathway and PI3K pathway
  • More frequent in younger adults
  • Associated with higher WBC count and blast %; also with increased risk of relapse and decreased OS
  • FLT3 variant allele frequency (VAF) should also be checked as VAF <0.5 translates to relatively improved outcomes
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2
Q

Multikinase inhibitors: sunitinib, sorafenib, midostaurin, taurtinib

A
  • Dirty inhibitors” due to multipathways affected
    • Sorafenib-Some studies suggest using with 7+3 in young AML patients regardless of mutational status; one study showed 5 year EFS 40 vs 22% respectively regardless of mutational status
    • Midostaurin- RATIFY trial: Pts aged 18-60 with FLT3 mutated AML treated with 7 + 3 + midostaurin vs placebo showed 5 year OS 50.8 vs 43.1
      • Has anti-cKIT, PDGF-R, VEGF, protein kinase C activity as well
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3
Q

RAS:

A
  • Present in 10-15% of cases
  • Includes NRAS, KRAS, PTPN11, NF1 leading to aberrant signaling thru RAS/RAF/MEK pathway
  • Acquisition of RAS mutations can be seen in MDS to AML progression and portends to poor diagnosis in this scenario
  • NRAS mutations are FAVORABLE with comutations in DNMT3A and NPM1
  • Development of MEK, PI3K inhibitors are used for these mutations however development of resistance to single agent therapy is common due to activation of bypass pathways
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4
Q

KIT:

A

Found in core-binding factor mutations; associated with poor prognosis

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5
Q

Epigentic Modifier Mutations

A

identified in >50% of AML; likely that these mutations promote clonal outgrowth but are insufficient to initiate leukemic transformation without other mutational events

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6
Q

DNMT3A:

A

R882 missense mutation is most common mutation

  • Mutated in 20% of de novo AML; one of the most common mutations overall in AML
  • R882 missense mutation causes impaired HSC differentiation, increased self-renewal, and a differentiation block
  • Frequently occurs with advanced age
  • Coexists with NPM1, FLT3-ITD, or IDH1 mutations
  • Prognostic significance is unclear of DNMT3A mutation
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7
Q

TET2: (Ten-eleven transolocation-2)

A
  • Occurs in 10-20% of MDS and AML; more common in CML
  • Impedes breakdown of 5-methylcytosine leading to increased HSC self-renewal, impaired myeloid differentiation, and hypermethylated epigenetic signature
  • Prognosis is variable with these mutations
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8
Q

ASXL1: (Additional sex comb-like 1)

A
  • Loss of function mutation occurs in 10-20% of AML
  • Associated with advanced age, antecedent malignancy, concurrent RUNX1 mutation
  • Associated with poor outcomes
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9
Q

IDH1/IDH2 (Isocitrate dehydrogenase):

- Catalyzes oxidative decarboxylation

A
  • Catalyzes oxidative decarboxylation of isocitrate to a-ketoglutarate in the Kreb’s cycle
  • Occurs in 20% of AML; more frequent in older age, intermediate-risk, and seen with NPM1 mutations
  • Mutations cause decreased a-ketoglutarate which is needed for DNA hydroxymethylation, histone demethylase activity, and B-cell lymphoma 2 (Bcl-2) dependent mitochondrial respiration
  • IDH-R172 has unique gene expression profile with fewer co-mutations and has favorable prognosis with intensive chemotherapy
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10
Q

Nucleophosmin mutations (NPM1):

A

chaperone protein that is one of the most common mutations seen in AML (50%); if without FLT3-ITD - favorable response to chemotherapy even in older patients; if with FTL3-ITd - markedly poor prognosis

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11
Q

CEBPA:

A
  • Unique entity associated with favorable prognosis

- Occurs in 10% of AML in predominantly younger patients and N

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12
Q

RUNX1:

A
  • Transcription factor essential during embryogenesis in HSC generation
  • Associated with POOR prognosis:
    • Associated with antecedent hematologic disorders or secondary AML
    • Advanced age
    • Worse cytopenias at diagnosis
    • Shorter OS
    • Chemoresistance to therapy
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13
Q

GATA2:

A
  • Encodes a zinc-finger transcription factor with major role in hematopoesis
  • 5% of all AML patients have this
  • Does not impact overall favorability of outcome
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14
Q

Markers that identify secondary AML

A

ASXL1, SRSF2, SF3B1, U2AF1, ZRSR2, EZH2, BCOR, STAG2

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