Functional investigation of inherited noncoding genetic variation impacting the pharmacogenomics of childhood acute lymphoblastic leukemia treatment.
Kashi Raj BhattaraiRobert Jackson MobleyKelly R BarnettDaniel C FergusonBaranda S HansenJonathan D DiedrichBrennan P BergeronWenjian YangKristine R CrewsChristopher S ManringElias JabbourElisabeth PaiettaMark R LitzowSteven M KornblauWendy StockHiroto InabaSima JehaChing-Hon PuiCheng ChengShondra M Pruett-MillerMary V RellingJun J YangWilliam E EvansDaniel SavicPublished in: medRxiv : the preprint server for health sciences (2023)
Although acute lymphoblastic leukemia (ALL) is the most common childhood cancer, there is limited understanding of the contribution of inherited genetic variation on inter-individual differences in chemotherapy response. Defining genetic factors impacting therapy failure can help better predict response and identify drug resistance mechanisms. We therefore mapped inherited noncoding variants associated with chemotherapeutic drug resistance and/or treatment outcome to ALL cis -regulatory elements and investigated their gene regulatory potential and genomic connectivity using massively parallel reporter assays and promoter capture Hi-C, respectively. We identified 53 variants with reproducible allele-specific effects on transcription and high-confidence gene targets. Subsequent functional interrogation of the top variant (rs1247117) determined that it disrupted a PU.1 consensus motif and PU.1 binding affinity. Importantly, deletion of the genomic interval containing rs1247117 sensitized ALL cells to vincristine. Together, these data demonstrate that noncoding regulatory variation associated with diverse pharmacological traits harbor significant effects on allele-specific transcriptional activity and impact sensitivity to chemotherapeutic agents in ALL.
Keyphrases
- copy number
- acute lymphoblastic leukemia
- transcription factor
- childhood cancer
- genome wide
- dna methylation
- allogeneic hematopoietic stem cell transplantation
- young adults
- induced apoptosis
- resting state
- gene expression
- dna binding
- crispr cas
- genome wide identification
- functional connectivity
- cell cycle arrest
- electronic health record
- big data
- pi k akt
- replacement therapy
- heat shock
- binding protein
- deep learning
- atomic force microscopy
- heat stress
- machine learning
- stem cells
- squamous cell carcinoma
- capillary electrophoresis
- cell death
- smoking cessation
- cell proliferation
- adverse drug
- data analysis
- rectal cancer
- clinical decision support