Phenotypic clues that predict underlying cytogenetic/genetic abnormalities in myeloid malignancies: A contemporary review.
Michael StoneCullen M LilleyGuilin TangSanam LoghaviKamran M MirzaPublished in: Cytopathology : official journal of the British Society for Clinical Cytology (2023)
Precise subclassification of myeloid malignancies per the World Health Organization (WHO) classification system and the International Consensus Classification of Myeloid Neoplasms and Acute Leukaemias (ICC) requires investigation and documentation of the presence of cytogenetic and/or molecular genetic changes. These ancillary studies not only help in diagnosis, but also the prognosis of disease; however, they take time to be completed. In contrast, morphological evaluation of material from the blood and bone marrow specimens of cases where myeloid malignancies are suspected is usually completed quickly. Cytomorphological assessment may predict genetic changes and can be helpful in triaging acuity. This is especially true in haematological emergencies such as acute promyelocytic leukaemia (APL), where prompt APL-specific therapy can be life changing. Similarly, some morphological clues may help identify core binding factor leukaemias where a diagnosis of acute myeloid leukaemia (AML) could be rendered without reaching the 20% blast cutoff with immediate treatment-decision implications, or even a subset of cases of AML with FLT3 ITD/NPM1 mutation(s) which show characteristic features. Even though FISH/cytogenetics and/or PCR are still required for establishing the final diagnosis, evaluation for the presence of specific cytomorphological features that help predict genetic changes can be a useful tool to help guide early therapy.
Keyphrases
- acute myeloid leukemia
- bone marrow
- liver failure
- allogeneic hematopoietic stem cell transplantation
- genome wide
- respiratory failure
- dendritic cells
- copy number
- drug induced
- aortic dissection
- hepatitis b virus
- stem cells
- machine learning
- gene expression
- dna methylation
- single molecule
- magnetic resonance imaging
- electronic health record
- cell therapy
- ultrasound guided