Polygenic Pharmacogenomic Markers as Predictors of Toxicity Phenotypes in the Treatment of Acute Lymphoblastic Leukemia: A Single-Center Study.
Trisha LarkinReema KashifAbdelrahman H ElsayedBeate GreerKarna MangrolaRoya RaffieeNam H K NguyenVivek ShastriBiljana HornJatinder Kaur LambaPublished in: JCO precision oncology (2023)
Our results imply that instead of a single-SNP approach, SNP-SNP combinations in multiple genes in drug pathways increases the robustness of prediction of toxicity. These results further provide promising SNP models that can help establish clinically relevant biomarkers allowing for greater individualization of cancer therapy to maximize efficacy and minimize toxicity for each patient.
Keyphrases
- genome wide
- acute lymphoblastic leukemia
- cancer therapy
- high density
- dna methylation
- oxidative stress
- genetic diversity
- allogeneic hematopoietic stem cell transplantation
- drug delivery
- emergency department
- oxide nanoparticles
- gene expression
- acute myeloid leukemia
- clinical decision support
- bioinformatics analysis