Schneider Bryan P, Shen Fei, Gardner Laura, Radovich Milan, Li Lang, Miller Kathy D, Jiang Guanglong, Lai Dongbing, O'Neill Anne, Sparano Joseph A, Davidson Nancy E, Cameron David, Gradus-Pizlo Irmina, Mastouri Ronald A, Suter Thomas M, Foroud Tatiana, Sledge George W
Indiana University School of Medicine, Indianapolis, Indiana.
Dana Farber Cancer Institute - ECOG-ACRIN Biostatistics Center, Boston, Massachusetts.
Clin Cancer Res. 2017 Jan 1;23(1):43-51. doi: 10.1158/1078-0432.CCR-16-0908. Epub 2016 Dec 19.
Anthracycline-induced congestive heart failure (CHF) is a rare but serious toxicity associated with this commonly employed anticancer therapy. The ability to predict which patients might be at increased risk prior to exposure would be valuable to optimally counsel risk-to-benefit ratio for each patient. Herein, we present a genome-wide approach for biomarker discovery with two validation cohorts to predict CHF from adult patients planning to receive anthracycline.
We performed a genome-wide association study in 3,431 patients from the randomized phase III adjuvant breast cancer trial E5103 to identify single nucleotide polymorphism (SNP) genotypes associated with an increased risk of anthracycline-induced CHF. We further attempted candidate validation in two independent phase III adjuvant trials, E1199 and BEATRICE.
When evaluating for cardiologist-adjudicated CHF, 11 SNPs had a P value <10, of which nine independent chromosomal regions were associated with increased risk. Validation of the top two SNPs in E1199 revealed one SNP rs28714259 that demonstrated a borderline increased CHF risk (P = 0.04, OR = 1.9). rs28714259 was subsequently tested in BEATRICE and was significantly associated with a decreased left ventricular ejection fraction (P = 0.018, OR = 4.2).
rs28714259 represents a validated SNP that is associated with anthracycline-induced CHF in three independent, phase III adjuvant breast cancer clinical trials. Clin Cancer Res; 23(1); 43-51. ©2016 AACR.
蒽环类药物引起的充血性心力衰竭(CHF)是这种常用抗癌治疗相关的一种罕见但严重的毒性反应。在接触药物前预测哪些患者可能风险增加的能力,对于为每位患者优化权衡风险与获益比很有价值。在此,我们提出一种全基因组方法用于发现生物标志物,并通过两个验证队列来预测计划接受蒽环类药物治疗的成年患者发生CHF的情况。
我们在来自随机III期辅助性乳腺癌试验E5103的3431例患者中进行了全基因组关联研究,以鉴定与蒽环类药物引起的CHF风险增加相关的单核苷酸多态性(SNP)基因型。我们进一步尝试在两项独立的III期辅助性试验E1199和BEATRICE中进行候选验证。
在评估经心脏病专家判定的CHF时,11个SNP的P值<10,其中9个独立的染色体区域与风险增加相关。在E1199中对前两个SNP进行验证时,发现一个SNP rs28714259显示出CHF风险有临界性增加(P = 0.04,OR = 1.9)。随后在BEATRICE中对rs28714259进行检测,发现其与左心室射血分数降低显著相关(P = 0.018,OR = 4.2)。
rs28714259是一个经过验证的SNP,在三项独立的III期辅助性乳腺癌临床试验中与蒽环类药物引起的CHF相关。《临床癌症研究》;23(1);43 - 51。©2016美国癌症研究协会。