Genomic Landscape of Mixed-Phenotype Acute Leukemia

Marah Hennawi1, Nagehan Pakasticali1, Hammad Tashkandi1

  • 1Department of Pathology and Laboratory Medicine, Moffitt Cancer Center, Tampa, FL 33612, USA.

Insights

Mixed-phenotype leukemia (MPAL) is a rare cancer with poor prognosis. Genomic profiling revealed targetable mutations and confirmed stem cell transplant improves survival for MPAL patients.

Area of Science:

  • Hematology
  • Oncology
  • Genomics

Background:

  • Mixed-phenotype leukemia (MPAL) presents diagnostic and therapeutic challenges due to its rarity and poor prognosis.
  • MPAL is characterized by blast populations exhibiting mixed myeloid, T-lymphoid, and/or B-lymphoid differentiation.
  • Limited studies exist on the genomic landscape of MPAL, hindering targeted therapeutic development.

Purpose of the Study:

  • To investigate the genomic landscape of MPAL.
  • To identify potential therapeutic targets in MPAL.
  • To evaluate the impact of treatment modalities, such as stem cell transplant, on patient outcomes.

Main Methods:

  • Retrospective review of 28 MPAL cases from a central database.
  • Manual confirmation of MPAL diagnoses by a hematopathologist.
  • Collation of genomic, molecular, and cytogenetic data from EMR and genomics repositories.

Main Results:

  • Eighteen cases were biphenotypic and ten were biclonal MPAL.
  • Frequent cytogenetic abnormalities included complex karyotype, BCR/ABL1 translocation, Del 5q/-5, and Polysomy 21.
  • Key mutated genes identified were TP53, RUNX1, WT1, MLL2, and FLT3; 56% of cases harbored targetable biomarkers.
  • Allogeneic stem cell transplant was associated with superior overall survival (p = 0.0013).

Conclusions:

  • Genomic profiling of MPAL cases is crucial for identifying therapeutic opportunities.
  • RUNX1 and FLT3-ITD mutations are enriched in MPAL, alongside novel mutations like MAP3K.
  • Stem cell transplantation significantly improves survival outcomes for MPAL patients, highlighting its importance in treatment strategies.