Radboud University Nijmegen Medical Center, PO Box 9101, 6500HB Nijmegen, The Netherlands.
Pharmacogenomics. 2012 Jul;13(9):1087-94. doi: 10.2217/pgs.12.83.
The performance of a clinical pharmacogenetic model to predict nonresponse of methotrexate (MTX) monotherapy in patients with established rheumatoid arthritis (RA) and failure of disease-modifying antirheumatic drugs (DMARDs) was studied.
For 75 RA patients receiving MTX monotherapy for 6 months, DNA and clinical data were available. Risk scores for nonresponse at 6 months (disease activity score >2.4), were calculated using the pharmacogenetic prediction model utilizing four clinical factors and four polymorphisms in the genes MTHFD1, AMPD1, ITPA and ATIC.
At 6 months, there were 25 responders and 50 nonresponders. Using the clinical pharmacogenetic prediction model, 75% (56 out of 75) were categorized into predicted responders (risk score ≤ 3.5) and predicted nonresponders (risk score ≥ 6). At 6 months, the negative predictive value was 81% (21 out of 26) and the positive predictive value was 47% (14 out of 30).
The pharmacogenetic model predicts nonresponse to MTX monotherapy, but performs better in DMARD naive recent-onset RA patients than in patients with preceding DMARD failure.
研究了一种临床药物遗传学模型在预测已确诊的类风湿关节炎(RA)患者接受甲氨蝶呤(MTX)单药治疗和疾病修饰抗风湿药物(DMARDs)失败后无反应的表现。
对于 75 名接受 MTX 单药治疗 6 个月的 RA 患者,可获得 DNA 和临床数据。使用药物遗传学预测模型,利用四个临床因素和 MTHFD1、AMPD1、ITPA 和 ATIC 基因中的四个多态性,计算 6 个月时无反应的风险评分(疾病活动评分>2.4)。
6 个月时,有 25 名应答者和 50 名无应答者。使用临床药物遗传学预测模型,75%(75 名中的 56 名)被分为预测应答者(风险评分≤3.5)和预测无应答者(风险评分≥6)。6 个月时,阴性预测值为 81%(26 名中的 21 名),阳性预测值为 47%(30 名中的 14 名)。
药物遗传学模型预测 MTX 单药治疗无反应,但在 DMARD 初治的近期发病 RA 患者中的表现优于先前 DMARD 失败的患者。