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Transcriptomic expression profiling identifies ITGBL1, an epithelial to mesenchymal transition (EMT)-associated gene, is a promising recurrence prediction biomarker in colorectal cancer

机译:转录组表达分析识别ITGBL1,对间充质转换(EMT) - 分配基因的上皮,是结直肠癌中有前进的复发预测生物标志物

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Abstract The current histopathological risk-stratification criteria in colorectal cancer (CRC) patients following a curative surgery remain inadequate. In this study, we undertook a systematic, genomewide, biomarker discovery approach to identify and validate key EMT-associated genes that may facilitate recurrence prediction in CRC. Genomewide RNA expression profiling results from two datasets (GSE17538; N = 173 and GSE41258; N = 307) were used for biomarker discovery. These results were independently validated in two, large, clinical cohorts (testing cohort; N = 201 and validation cohort; N = 468). We performed Gene Set Enrichment Analysis (GSEA) for understanding the function of the candidate markers, and evaluated their correlation with the mesenchymal CMS4 subtype. We identified integrin subunit beta like 1 (ITGBL1) as a promising candidate biomarker, and its high expression associated with poor overall survival (OS) in stage I-IV patients and relapse-free survival (RFS) in stage I-III patients. Subgroup validation in multiple independent patient cohorts confirmed these findings, and demonstrated that high ITGBL1 expression correlated with shorter RFS in stage II patients. We developed a RFS prediction model which robustly predicted RFS (the area under the receiver operating curve (AUROC): 0.74; hazard ratio (HR): 2.72) in CRC patients. ITGBL1 is a promising EMT-associated biomarker for recurrence prediction in CRC patients, which may contribute to improved risk-stratification in CRC.
机译:摘要疗法手术后结直肠癌(CRC)患者的当前组织病理学风险分层标准仍然不足。在这项研究中,我们进行了系统,基因面,生物标志物发现方法,以鉴定和验证可促进CRC中复发预测的关键EMT相关基因。用于两种数据集(GSE17538; N = 173和GSE41258; n = 307)的基因面全系列RNA表达谱结果。这些结果在两种,大型临床队列(测试队列; N = 201和验证队列; N = 468)中独立验证。我们进行了基因设定富集分析(GSEA)以理解候选标志物的功能,并评估它们与间充质CMS4亚型的相关性。我们将整联蛋白亚基β如1(ITGBL1)鉴定为有前途的候选生物标志物,其在第I-IIV阶段患者中的阶段I-IIV患者中的整体存活(OS)相关的高表达和II-III患者的复发存活(RFS)。多个独立患者群组中的亚组验证证实了这些发现,并证明了高ITGBL1表达与阶段II患者的较短RFS相关。我们开发了一个RFS预测模型,其强大地预测了RFS(接收器操作曲线下的区域(AUROC):0.74;危险比(HR):2.72)中的CRC患者。 ITGBL1是CRC患者中复发预测的有前途的EMT相关的生物标志物,这可能有助于提高CRC的风险分层。

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