Department of Cancer Prevention, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Nydalen, Oslo, Norway.
Gut. 2012 Nov;61(11):1560-7. doi: 10.1136/gutjnl-2011-301179. Epub 2012 Jan 2.
Several clinical factors have an impact on prognosis in stage II colorectal cancer (CRC), but as yet they are inadequate for risk assessment. The present study aimed to develop a gene expression classifier for improved risk stratification of patients with stage II CRC.
315 CRC samples were included in the study. Gene expression measurements from 207 CRC samples (stage I-IV) from two independent Norwegian clinical series were obtained using Affymetrix exon-level microarrays. Differentially expressed genes between stage I and stage IV samples from the test series were identified and used as input for L1 (lasso) penalised Cox proportional hazards analyses of patients with stage II CRC from the same series. A second validation was performed in 108 stage II CRC samples from other populations (USA and Australia).
An optimal 13-gene expression classifier (PIGR, CXCL13, MMP3, TUBA1B, SESN1, AZGP1, KLK6, EPHA7, SEMA3A, DSC3, CXCL10, ENPP3, BNIP3) for prediction of relapse among patients with stage II CRC was developed using a consecutive Norwegian test series from patients treated according to current standard protocols (n=44, p<0.001, HR=18.2), and its predictive value was successfully validated for patients with stage II CRC in a second Norwegian CRC series collected two decades previously (n=52, p=0.02, HR=3.6). Further validation of the classifier was obtained in a recent external dataset of patients with stage II CRC from other populations (n=108, p=0.001, HR=6.5). Multivariate Cox regression analyses, including all three sample series and various clinicopathological variables, confirmed the independent prognostic value of the classifier (p≤0.004). The classifier was shown to be specific to stage II CRC and does not provide prognostic stratification of patients with stage III CRC.
This study presents the development and validation of a 13-gene expression classifier, ColoGuideEx, for prognosis prediction specific to patients with stage II CRC. The robustness was shown across patient series, populations and different microarray versions.
有几个临床因素对 II 期结直肠癌(CRC)的预后有影响,但目前这些因素还不足以进行风险评估。本研究旨在开发一种基因表达分类器,以改善 II 期 CRC 患者的风险分层。
本研究纳入了 315 例 CRC 样本。使用 Affymetrix 外显子水平微阵列从两个独立的挪威临床系列的 207 例 CRC 样本(I-IV 期)中获得基因表达测量值。从测试系列的 I 期和 IV 期样本中鉴定出差异表达基因,并将其作为同一系列 II 期 CRC 患者的 L1(lasso)惩罚 Cox 比例风险分析的输入。在来自其他人群(美国和澳大利亚)的 108 例 II 期 CRC 样本中进行了第二次验证。
使用连续的挪威测试系列(n=44,p<0.001,HR=18.2),从根据当前标准方案治疗的患者中开发了一种用于预测 II 期 CRC 患者复发的最佳 13 个基因表达分类器(PIGR、CXCL13、MMP3、TUBA1B、SESN1、AZGP1、KLK6、EPHA7、SEMA3A、DSC3、CXCL10、ENPP3、BNIP3),并成功验证了该分类器在 20 年前收集的第二个挪威 CRC 系列中 II 期 CRC 患者的预测价值(n=52,p=0.02,HR=3.6)。在来自其他人群的 II 期 CRC 患者的最近的外部数据集(n=108,p=0.001,HR=6.5)中进一步验证了该分类器。包括所有三个样本系列和各种临床病理变量的多变量 Cox 回归分析证实了分类器的独立预后价值(p≤0.004)。分类器被证明是 II 期 CRC 特异性的,不能对 III 期 CRC 患者进行预后分层。
本研究提出了一种用于 II 期 CRC 患者预后预测的 13 个基因表达分类器 ColoGuideEx 的开发和验证。该分类器在患者系列、人群和不同的微阵列版本中表现出稳健性。