Department of Gastroenterology, Binzhou Medical University Hospital (BMUH), No. 662 Huanghe 2nd Road, Binzhou City, Shandong Province, People's Republic of China.
Tianjia Genomes Tech CO., LTD., Anhui Chaohu Economic Develop Zone, No. 6 Longquan Road, Hefei, 238014, People's Republic of China.
BMC Gastroenterol. 2020 Jun 5;20(1):171. doi: 10.1186/s12876-020-01288-x.
Alternative splicing (AS) is an important mechanism of regulating eukaryotic gene expression. Understanding the most common AS events in colorectal cancer (CRC) will help developing diagnostic, prognostic or therapeutic tools in CRC.
Publicly available RNA-seq data of 28 pairs of CRC and normal tissues and 18 pairs of metastatic and normal tissues were used to identify AS events using PSI and DEXSeq methods.
The highly significant splicing events were used to search a database of The Cancer Genome Atlas (TCGA). We identified AS events in 9 genes in CRC (more inclusion of CLK1-E4, COL6A3-E6, CD44v8-10, alternative first exon regulation of ARHGEF9, CHEK1, HKDC1 and HNF4A) or metastasis (decrease of SERPINA1-E1a, CALD-E5b, E6). Except for CHEK1, all other 8 splicing events were confirmed by TCGA data with 382 CRC tumors and 51 normal controls. The combination of three splicing events was used to build a logistic regression model that can predict sample type (CRC or normal) with near perfect performance (AUC = 1). Two splicing events (COL6A3 and HKDC1) were found to be significantly associated with patient overall survival. The AS features of the 9 genes are highly consistent with previous reports and/or relevant to cancer biology.
The significant association of higher expression of the COL6A3 E5-E6 junction and HKDC1 E1-E2 with better overall survival was firstly reported. This study might be of significant value in the future biomarker, prognosis marker and therapeutics development of CRC.
可变剪接(AS)是调节真核基因表达的重要机制。了解结直肠癌(CRC)中最常见的 AS 事件将有助于开发 CRC 的诊断、预后或治疗工具。
使用 PSI 和 DEXSeq 方法,利用 28 对 CRC 组织和正常组织以及 18 对转移和正常组织的公开 RNA-seq 数据来识别 AS 事件。
高度显著的剪接事件被用于搜索癌症基因组图谱(TCGA)数据库。我们在 9 个 CRC 基因(更多的 CLK1-E4、COL6A3-E6、CD44v8-10、ARHGEF9 的替代第一外显子调控、CHEK1、HKDC1 和 HNF4A)或转移(SERPINA1-E1a、CALD-E5b、E6 的减少)中鉴定出 AS 事件。除 CHEK1 外,其他 8 个剪接事件均被 TCGA 数据中包含的 382 个 CRC 肿瘤和 51 个正常对照所证实。三个剪接事件的组合被用于构建一个逻辑回归模型,该模型可以近乎完美地预测样本类型(CRC 或正常)(AUC=1)。发现两个剪接事件(COL6A3 和 HKDC1)与患者总体生存显著相关。这 9 个基因的 AS 特征与之前的报道高度一致,或者与癌症生物学相关。
首次报道了 COL6A3 E5-E6 连接处和 HKDC1 E1-E2 的高表达与更好的总体生存率之间存在显著相关性。本研究可能对未来 CRC 的生物标志物、预后标志物和治疗学的发展具有重要意义。