Department of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USA.
Department of Molecular Biology and Biochemistry, Guru Nanak Dev University, Amritsar 143005, India.
Int J Mol Sci. 2019 Aug 5;20(15):3818. doi: 10.3390/ijms20153818.
Colorectal cancer (CRC) is a high burden disease with several genes involved in tumor progression. The aim of the present study was to identify, generate and clinically validate a novel gene signature to improve prediction of overall survival (OS) to effectively manage colorectal cancer. We explored The Cancer Genome Atlas (TCGA), COAD and READ datasets (597 samples) from The Protein Atlas (TPA) database to extract a total of 595 candidate genes. In parallel, we identified 29 genes with perturbations in > 6 cancers which are also affected in CRC. These genes were entered in cBioportal to generate a 17 gene panel with highest perturbations. For clinical validation, this gene panel was tested on the FFPE tissues of colorectal cancer patients (88 patients) using Nanostring analysis. Using multivariate analysis, a high prognostic score (composite 4 gene signature-, , and ) was found to be a significant predictor of poor prognosis in CRC patients (HR: 3.42, 95% CI: 1.71-7.94, < 0.001 *) along with stage (HR: 4.56, 95% CI: 1.35-19.15, = 0.01 *). The Kaplan-Meier analysis also segregated patients on the basis of prognostic score (log-rank test, = 0.001 *). The external validation using GEO dataset (GSE38832, 122 patients) corroborated the prognostic score (HR: 2.7, 95% CI: 1.99-3.73, < 0.001 *). Additionally, higher score was able to differentiate stage II and III patients (130 patients) on the basis of OS (HR: 2.5, 95% CI: 1.78-3.63, < 0.001 *). Overall, our results identify a novel 4 gene prognostic signature that has clinical utility in colorectal cancer.
结直肠癌(CRC)是一种负担沉重的疾病,涉及多个参与肿瘤进展的基因。本研究旨在确定、生成和临床验证一种新的基因特征,以改善对总生存期(OS)的预测,从而有效管理结直肠癌。我们从 The Protein Atlas(TPA)数据库中的 The Cancer Genome Atlas(TCGA)、COAD 和 READ 数据集(597 个样本)中进行了探索,共提取了 595 个候选基因。同时,我们鉴定了 29 个在 >6 种癌症中发生扰动的基因,这些基因在 CRC 中也受到影响。这些基因被输入 cBioportal 以生成具有最高扰动的 17 基因面板。为了进行临床验证,我们使用 Nanostring 分析对 88 例结直肠癌患者的 FFPE 组织进行了该基因面板的检测。通过多变量分析,发现一个高预后评分(复合 4 基因特征-、、和)是 CRC 患者预后不良的显著预测因子(HR:3.42,95%CI:1.71-7.94,<0.001*),同时与分期(HR:4.56,95%CI:1.35-19.15,=0.01*)相关。Kaplan-Meier 分析也根据预后评分对患者进行了细分(对数秩检验,=0.001*)。使用 GEO 数据集(GSE38832,122 例患者)进行的外部验证证实了预后评分(HR:2.7,95%CI:1.99-3.73,<0.001*)。此外,更高的评分能够根据 OS 区分 II 期和 III 期患者(130 例患者)(HR:2.5,95%CI:1.78-3.63,<0.001*)。总的来说,我们的研究结果确定了一种新的 4 基因预后特征,在结直肠癌中具有临床应用价值。