Cell and Experimental Pathology, Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden.
Int J Mol Sci. 2022 Jan 12;23(2):793. doi: 10.3390/ijms23020793.
Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality worldwide. The current TNM (Tumor, Node, and Metastasis) classification approach is suboptimal in determining the prognosis of CRC patients. The prognosis for CRC is affected by a variety of features that are present at the initial diagnosis. Herein, we performed a systematic exploration and established a novel five-panel gene signature as a prognostic and early diagnosis biomarker after performing differential gene expression analyses in five independent in silico CRCs cohort and independently validating it in one clinical cohort, using immunohistochemistry. Four genes (, , , and ) were significantly upregulated and one gene () was significantly downregulated in primary tumor tissues compared with adjacent normal tissues throughout all the five in silico datasets. The univariate CoxPH analysis yielded a five-gene signature that accurately predicted overall survival (OS) and recurrence-free survival (RFS) in the in silico training (AUC = 0.73 and 0.69, respectively) and one independent in silico validation cohort (AUC = 0.69 and 0.74, respectively). This five-gene signature demonstrated significant associations with poor OS in independent clinical validation cohorts of colon cancer (CC) patients (AUC = 0.82). Intriguingly, a risk stratification model comprising of the five-gene signature together with TNM stage and gender status achieved an even superior AUC of 0.89 in the clinical cohorts. On the other hand, the circulating mRNA expression of the upregulated four-gene signature achieved a robust AUC = 0.83 with high sensitivity and specificity as a diagnosis marker in plasma from CRC patients. We have identified a novel, five-gene signature as an independent predictor of OS, which in combination with TNM stage and gender offers an easy-to-translate and facile assay for the personalized risk-assessment in CRC patients.
结直肠癌(CRC)是全球癌症相关死亡率的主要原因之一。目前的 TNM(肿瘤、淋巴结和转移)分类方法在确定 CRC 患者的预后方面并不理想。CRC 的预后受多种在初始诊断时存在的特征的影响。在此,我们进行了系统的探索,并在五个独立的 CRC 队列中进行了差异基因表达分析后建立了一个新的五基因面板基因特征,并通过免疫组织化学在一个临床队列中进行了独立验证,作为一种预后和早期诊断生物标志物。与所有五个独立数据集的相邻正常组织相比,在原发性肿瘤组织中,四个基因(、、、和)显著上调,一个基因()显著下调。单因素 CoxPH 分析得出了一个五基因特征,该特征可以准确预测五个独立数据集中的总生存期(OS)和无复发生存期(RFS)(AUC 分别为 0.73 和 0.69)。该五基因特征与独立临床验证队列中的结肠癌(CC)患者的 OS 显著相关(AUC = 0.82)。有趣的是,一个由五基因特征与 TNM 分期和性别状态组成的风险分层模型在临床队列中实现了更优的 AUC = 0.89。另一方面,上调的四个基因的循环 mRNA 表达在 CRC 患者的血浆中作为诊断标志物具有稳健的 AUC = 0.83,具有高灵敏度和特异性。我们已经确定了一个新的、五个基因的特征作为 OS 的独立预测因子,与 TNM 分期和性别相结合,为 CRC 患者提供了一种易于转化和简单的个体化风险评估方法。