Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT 06520, USA.
Sci Transl Med. 2013 Oct 2;5(205):205ra136. doi: 10.1126/scitranslmed.3005964.
We aimed to identify peripheral blood mononuclear cell (PBMC) gene expression profiles predictive of poor outcomes in idiopathic pulmonary fibrosis (IPF) by performing microarray experiments of PBMCs in discovery and replication cohorts of IPF patients. Microarray analyses identified 52 genes associated with transplant-free survival (TFS) in the discovery cohort. Clustering the microarray samples of the replication cohort using the 52-gene outcome-predictive signature distinguished two patient groups with significant differences in TFS. We studied the pathways associated with TFS in each independent microarray cohort and identified decreased expression of "The costimulatory signal during T cell activation" Biocarta pathway and, in particular, the genes CD28, ICOS, LCK, and ITK, results confirmed by quantitative reverse transcription polymerase chain reaction (qRT-PCR). A proportional hazards model, including the qRT-PCR expression of CD28, ICOS, LCK, and ITK along with patient's age, gender, and percent predicted forced vital capacity (FVC%), demonstrated an area under the receiver operating characteristic curve of 78.5% at 2.4 months for death and lung transplant prediction in the replication cohort. To evaluate the potential cellular source of CD28, ICOS, LCK, and ITK expression, we analyzed and found significant correlation of these genes with the PBMC percentage of CD4(+)CD28(+) T cells in the replication cohort. Our results suggest that CD28, ICOS, LCK, and ITK are potential outcome biomarkers in IPF and should be further evaluated for patient prioritization for lung transplantation and stratification in drug studies.
我们旨在通过对特发性肺纤维化(IPF)患者的 PBMC 进行微阵列实验,确定与不良预后相关的外周血单个核细胞(PBMC)基因表达谱。微阵列分析在发现队列中确定了 52 个与移植无关生存率(TFS)相关的基因。使用这 52 个基因预后预测特征对复制队列的微阵列样本进行聚类,可区分出 TFS 存在显著差异的两组患者。我们研究了每个独立微阵列队列中与 TFS 相关的途径,并发现“T 细胞激活期间的共刺激信号”生物卡塔途径的表达降低,特别是基因 CD28、ICOS、LCK 和 ITK,通过定量逆转录聚合酶链反应(qRT-PCR)证实了这一结果。包括 qRT-PCR 表达的 CD28、ICOS、LCK 和 ITK 以及患者的年龄、性别和预测用力肺活量(FVC%)百分比在内的比例风险模型,在复制队列中,2.4 个月时死亡和肺移植预测的受试者工作特征曲线下面积为 78.5%。为了评估 CD28、ICOS、LCK 和 ITK 表达的潜在细胞来源,我们进行了分析,发现这些基因与复制队列中 CD4(+)CD28(+)T 细胞的 PBMC 百分比存在显著相关性。我们的研究结果表明,CD28、ICOS、LCK 和 ITK 是 IPF 的潜在预后生物标志物,应进一步评估其用于肺移植患者的优先级和药物研究中的分层。