Genomic Landscape and Risk Stratification in Chronic Myelomonocytic Leukemia.

Curr Hematol Malig Rep

Department of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA.

Published: June 2021

AI Article Synopsis

  • Next-generation sequencing has advanced the understanding of chronic myelomonocytic leukemia (CMML), a type of cancer with complex clinical and genetic features, leading to improved precision in oncology.
  • Research has identified that up to 90% of CMML patients have somatic gene mutations, particularly in genes like TET2, SRSF2, and ASXL1, which can significantly influence prognosis.
  • The findings have prompted the creation of new prognostic models that take these mutations into account, suggesting that molecular profiling via next-generation sequencing should be standard practice for all patients with CMML.

Article Abstract

Purpose: The advent of next-generation sequencing has allowed for the annotation of a vast array of recurrent somatic mutations across human malignancies, ushering in a new era of precision oncology. Chronic myelomonocytic leukemia is recognized as a myelodysplastic/myeloproliferative neoplasm and displays heterogenous clinical and genetic features. Herein, we review what is currently understood regarding the genomic landscape of this disease and discuss how somatic mutations have impacted current risk stratification methods.

Recent Findings: Genomic studies in chronic myelomonocytic leukemia have identified a characteristic spectrum of cytogenetic and molecular abnormalities. Chromosomal abnormalities are detected in ~30% of patients and somatic gene mutations in up to 90% of patients, most commonly in TET2, SRSF2, and ASXL1. While cytogenetic abnormalities have long been known to impact the prognosis of myeloid neoplasms, recent studies have identified that somatic mutations impact prognosis independent of cytogenetic and clinical variables. This is best exemplified by mutations in ASXL1, which have been uniformly associated with inferior survival. These findings have led to the development of three molecularly inspired prognostic models, in an attempt to more accurately prognosticate in the disease. Our understanding of the genomic landscape of chronic myelomonocytic leukemia continues to evolve, with somatic mutations demonstrating an expanding role in diagnosis, risk stratification, and therapeutic decision-making. Given these findings, molecular profiling by next-generation sequencing should be considered standard of care in all patients.

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Source
http://dx.doi.org/10.1007/s11899-021-00613-9DOI Listing

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