Tarhini Ahmad A, Lin Yan, Zahoor Haris, Shuai Yongli, Butterfield Lisa H, Ringquist Steven, Gogas Helen, Sander Cindy, Lee Sandra, Agarwala Sanjiv S, Kirwood John M
University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
University of Pittsburgh Cancer Institute Biostatistics Facility, Pittsburgh, Pennsylvania, United States of America.
PLoS One. 2015 Jul 20;10(7):e0132745. doi: 10.1371/journal.pone.0132745. eCollection 2015.
E1697 was a phase III trial of adjuvant interferon (IFN)-α2b for one month (Arm B) versus observation (Arm A) in patients with resected melanoma at intermediate risk. We evaluated the levels of candidate serum cytokines, the HLA genotype, polymorphisms of CTLA4 and FOXP3 genes and the development of autoantibodies for their association with relapse free survival (RFS) in Arm A and Arm B among 268 patients with banked biospecimens.
ELISA was used to test 5 autoantibodies. Luminex/One Lambda LABTypeRSSO was used for HLA Genotyping. Selected CTLA4 and FOXP3 Single nucleotide polymorphisms (SNPs) and microsatellites were tested for by polymerase chain reaction (PCR). Sixteen serum cytokines were tested at baseline and one month by Luminex xMAP multiplex technology. Cox Proportional Hazards model was applied and the Wald test was used to test the marginal association of each individual marker and RFS. We used the Lasso approach to select the markers to be included in a multi-marker Cox Proportional Hazards model. The ability of the resulting models to predict one year RFS was evaluated by the time-dependent ROC curve. The leave-one-out method of cross validation (LOOCV) was used to avoid over-fitting of the data.
In the multi-marker modeling analysis conducted in Arm B, one month serum IL2Rα, IL-12p40 and IFNα levels predicted one year RFS with LOOCV AUC = 82%. Among the three markers selected, IL2Rα and IFNα were the most stable (selected in all the cross validation cycles). The risk score (linear combination of the 3 markers) separated the RFS curves of low and high risk groups well (p = 0.05). This model did not hold for Arm A, indicating a differential marker profile in Arm B linked to the intervention (adjuvant therapy).
Early on-treatment proinflammatory serum markers (IL2Rα, IL-12p40, IFNα) significantly predict RFS in our cohort of patients treated with adjuvant IFN-α2b and warrant further study.
E1697是一项III期试验,对比了中危黑色素瘤切除术后患者接受为期一个月的辅助性干扰素(IFN)-α2b治疗(B组)与观察等待(A组)的疗效。我们评估了268例保存有生物标本的患者中候选血清细胞因子水平、HLA基因型、CTLA4和FOXP3基因多态性以及自身抗体的产生情况,以研究它们与A组和B组无复发生存期(RFS)的相关性。
采用ELISA检测5种自身抗体。使用Luminex/One Lambda LABTypeRSSO进行HLA基因分型。通过聚合酶链反应(PCR)检测选定的CTLA4和FOXP3单核苷酸多态性(SNP)及微卫星。在基线和1个月时,采用Luminex xMAP多重技术检测16种血清细胞因子。应用Cox比例风险模型,并使用Wald检验来检验每个个体标志物与RFS的边际相关性。我们采用套索方法选择纳入多标志物Cox比例风险模型的标志物。通过时间依赖性ROC曲线评估所得模型预测1年RFS的能力。采用留一法交叉验证(LOOCV)以避免数据过度拟合。
在B组进行的多标志物建模分析中,1个月时的血清IL2Rα、IL-12p40和IFNα水平预测1年RFS,LOOCV曲线下面积(AUC)= 82%。在所选的三个标志物中,IL2Rα和IFNα最为稳定(在所有交叉验证周期中均被选中)。风险评分(3个标志物的线性组合)能很好地分离低风险和高风险组的RFS曲线(p = 0.05)。该模型对A组不适用,表明B组中与干预(辅助治疗)相关的标志物谱存在差异。
在我们接受辅助性IFN-α2b治疗的患者队列中,早期治疗时的促炎血清标志物(IL2Rα、IL-12p40、IFNα)显著预测RFS,值得进一步研究。