Role of Germline Predisposition to Therapy-Related Myeloid Neoplasms.
Anmol BaranwalChristopher N HahnMithun Vinod ShahDevendra K HiwasePublished in: Current hematologic malignancy reports (2022)
Emerging evidence suggests that development of t-MN is the result of complex interactions including generation of somatic variants in hematopoietic stem cells and/or clonal selection pressure exerted by the DNA-damaging agents, and immune evasion on top of any inherited genetic susceptibility. Conventionally, alkylating agents, topoisomerase inhibitors, and radiation have been associated with t-MN. Recently, newer modalities including poly (ADP-ribose) polymerase inhibitors (PARPi) and peptide receptor radionucleotide therapy (PRRT) are associated with t-MN. At the same time, the role of pathogenic germline variants (PGVs) in genes such as BRCA1/2, BARD1, or TP53 on the risk of t-MN is being explored. Moreover, studies have shown that while cytotoxic therapy increases the risk of developing myeloid neoplasia, it may be exposing the vulnerability of an underlying germline predisposition. t-MN remains a disease with poor prognosis. Studies are needed to better define an individual's inherited neoplastic susceptibility which will help predict the risk of myeloid neoplasia in the future. Understanding the genes driving the inherited neoplastic susceptibility will lead to better patient- and cancer-specific management including choice of therapeutic regimen to prevent, or at least delay, development of myeloid neoplasia after treatment of a prior malignancy.
Keyphrases
- poor prognosis
- bone marrow
- dendritic cells
- copy number
- acute myeloid leukemia
- high grade
- genome wide
- metal organic framework
- dna repair
- long non coding rna
- transition metal
- gene expression
- squamous cell carcinoma
- induced apoptosis
- case report
- stem cells
- dna damage
- papillary thyroid
- young adults
- radiation induced
- current status
- lymph node metastasis
- case control
- replacement therapy
- genome wide identification
- bioinformatics analysis
- drug induced