Department of Hematologic Malignancies and Blood Disorders, Levine Cancer Institute, Atrium Health, Charlotte, NC
Issam Hamadeh , Ryan Jacobs , Bei Hu , Tamara Kay Moyo , Amy Soni , Steven I. Park , Jai Narendra Patel , Nury Steuerwald , Nilanjan Ghosh
Background: Cardiovascular side effects (CVSEs: atrial fibrillation, hypertension, etc.) are common in patients with chronic lymphocytic leukemia (CLL) treated with ibrutinib and often lead to dose reductions or discontinuation. However, the etiology of ibrutinib related CVSEs has not been elucidated. This study sought to interrogate the association between ibrutinib related CVSEs and polymorphisms in genes of the Bruton Tyrosine Kinase (BTK) signaling pathway (identified through Ingenuity Pathway Analysis) Methods: Newly diagnosed and relapsed patients with CLL who underwent treatment with ibrutinib between December 2019 and November 2020 at Levine Cancer Institute were identified. Buccal swabs were collected through an IRB approved specimen collection protocol. Data extraction included: demographics, CLL stage, cytogenetics, previous treatments, ibrutinib start dates and dose, drug related SEs, and other medications. DNA isolated from buccal swabs was genotyped for 40 single nucleotide polymorphisms (SNPs) in GATA4, SGK1, KCNQ1, KCNA4, NPPA and SCN5A genes using a custom NGS panel. Logistic regression analysis evaluated the association between SNPs and CVSEs. Results: In 50 evaluable patients, the median age was 71 years (range:48-90) and 50% received frontline ibrutinib monotherapy. CVSEs occurred in 20% of patients (n=10). In univariate analysis, 4 SNPs in 3 genes were significantly associated with CVSEs (Table). Because the genes were in the same pathway, a genetic risk score was developed which indicated that patients with at least 2 SNPs had a 12-fold increase in risk of CVSEs (Table). Conclusions: Our findings provide insights into the genetic determinants of ibrutinib related CVSEs. If replicated in a larger study, this will facilitate utility of pharmacogenetic testing (for GATA4, KCNQ1 and KCNA5 polymorphisms) as a clinical tool to individualize ibrutinib treatment.
Gene/SNP | Odds Ratio | 95% Confidence Interval | P-value | |
---|---|---|---|---|
Lower limit | Upper limit | |||
Univariate logistic regression analysis | ||||
GATA4 | ||||
rs804280 (AA vs. AC+CC) | 4.5 | 1.1 | 19.0 | 0.05 |
KCNQ1 | ||||
rs163182 (GG vs. GC+CC) | 5.3 | 1.1 | 25.0 | 0.04 |
rs2237895 (AA vs. AC+CC) | 12.0 | 1.4 | 111.0 | 0.01 |
KCNA5 | ||||
rs2284136 (CC vs. CT+TT) | 8.0 | 1.1 | 70.0 | 0.03 |
Genetic risk score | ||||
Genetic risk score (1 vs. 0)* | 12.2 | 1.4 | 105.4 | 0.01 |
*:score of 1 if presence of ≥ 2 SNPs and 0 if ≤ 1 SNP.
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