The Evolving Landscape: Exploring the Future of Myelodysplastic Syndrome Treatment with Dr. Rami Komrokji.
Sean Henry JackewiczHelena S ColomaViviana CortianaMuskan JoshiGayathri P MenonMaduri BalasubramanianChandler H ParkYan LeyfmanPublished in: Cancers (2023)
This perspective delves into the evolving landscape of Myelodysplastic Syndrome (MDS) treatment. MDS presents a significant clinical challenge, often progressing to acute myeloid leukemia. For low-risk MDS, the emphasis is on personalized care through comprehensive risk assessment, clinical monitoring, and tailored interventions, including promising agents like erythropoiesis-stimulating agents, lenalidomide, and luspatercept, with the anticipation of an expanding therapeutic arsenal and early intervention for improved outcomes. In contrast, high-risk MDS treatment is evolving towards upfront doublet or triplet therapies with a focus on minimal residual disease (MRD) monitoring. A holistic approach integrates various modalities, including stem cell transplant and post-transplant maintenance, all guided by individual patient circumstances. Risk-adapted strategies are crucial for enhancing patient outcomes. Precision medicine for MDS treatment is budding, largely driven by Next Generation Sequencing (NGS). NGS aids in early diagnosis, prognostication, and the targeting of specific mutations, with molecular data increasingly informing treatment responses and allowing for tailored interventions. Clinical trials within homogeneous patient groups with similar molecular profiles are becoming more common, enhancing treatment precision. In conclusion, the future of MDS treatment is moving towards personalized medicine, leveraging advanced technologies like NGS and molecular insights to improve outcomes in the realm of hematological malignancies.
Keyphrases
- clinical trial
- risk assessment
- acute myeloid leukemia
- stem cells
- magnetic resonance
- gene expression
- low dose
- palliative care
- mesenchymal stem cells
- insulin resistance
- combination therapy
- dna methylation
- artificial intelligence
- metabolic syndrome
- climate change
- machine learning
- high dose
- allogeneic hematopoietic stem cell transplantation
- replacement therapy