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胃癌中胃蛋白酶原C表达相关的lncRNA/circRNA/mRNA图谱及其共介导的ceRNA网络

Pepsinogen C expression-related lncRNA/circRNA/mRNA profile and its co-mediated ceRNA network in gastric cancer.

作者信息

Yan Li-Rong, Ding Han-Xi, Shen Shi-Xuan, Lu Xiao-Dong, Yuan Yuan, Xu Qian

机构信息

Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University, Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Provincial Education Department, 110001, Shenyang, China.

出版信息

Funct Integr Genomics. 2021 Nov;21(5-6):605-618. doi: 10.1007/s10142-021-00803-x. Epub 2021 Aug 31.

Abstract

The expression of pepsinogen C (PGC) is considered an ideal negative biomarker of gastric cancer, but its pathological mechanisms remain unclear. This study aims to analyze competing endogenous RNA (ceRNA) networks related to PGC expression at a post-transcriptional level and build an experimental basis for studying the role of PGC in the progression of gastric cancer. RNA sequencing technology was used to detect the differential expression (DE) profiles of PGC-related long non-coding (lnc)RNAs, circular (circ)RNAs, and mRNAs. Ggcorrplot R package and online database were used to construct DElncRNAs/DEcircRNAs co-mediated PGC expression-related ceRNA networks. In vivo and in vitro validations were performed using quantitative reverse transcription-PCR (qRT-PCR). RNA sequencing found 637 DEmRNAs, 698 DElncRNAs, and 38 DEcircRNAs. The PPI network of PGC expression-related mRNAs consisted of 503 nodes and 1179 edges. CFH, PPARG, and MUC6 directly interacted with PGC. Enrichment analysis suggested that DEmRNAs were mainly enriched in cancer-related pathways. Eleven DElncRNAs, 13 circRNAs, and 35 miRNA-mRNA pairs were used to construct ceRNA networks co-mediated by DElncRNAs and DEcircRNAs that were PGC expression-related. The network directly related to PGC was as follows: SNHG16/hsa_circ_0008197-hsa-mir-98-5p/hsa-let-7f-5p/hsa-let-7c-5p-PGC. qRT-PCR validation results showed that PGC, PPARG, SNHG16, and hsa_circ_0008197 were differentially expressed in gastric cancer cells and tissues: PGC positively correlated with PPARG (r = 0.276, P = 0.009), SNHG16 (r = 0.35, P = 0.002), and hsa_circ_0008197 (r = 0.346, P = 0.005). PGC-related DElncRNAs and DEcircRNAs co-mediated complicated ceRNA networks to regulate PGC expression, thus affecting the occurrence and development of gastric cancer at a post-transcriptional level. Of these, the network directly associated with PGC expression was a SNHG16/hsa_circ_0008197-mir-98-5p/hsa-let-7f-5p/hsa-let-7c-5p - PGC axis. This study may form a foundation for the subsequent exploration of the possible regulatory mechanisms of PGC in gastric cancer.

摘要

胃蛋白酶原C(PGC)的表达被认为是胃癌理想的阴性生物标志物,但其病理机制尚不清楚。本研究旨在分析转录后水平上与PGC表达相关的竞争性内源RNA(ceRNA)网络,为研究PGC在胃癌进展中的作用建立实验基础。采用RNA测序技术检测与PGC相关的长链非编码(lnc)RNA、环状(circ)RNA和mRNA的差异表达(DE)谱。使用Ggcorrplot R包和在线数据库构建DElncRNAs/DEcircRNAs共同介导的与PGC表达相关的ceRNA网络。通过定量逆转录PCR(qRT-PCR)进行体内和体外验证。RNA测序发现637个DEmRNA、698个DElncRNA和38个DEcircRNA。与PGC表达相关的mRNA的PPI网络由503个节点和1179条边组成。CFH、PPARG和MUC6与PGC直接相互作用。富集分析表明,DEmRNA主要富集在癌症相关通路中。使用11个DElncRNA、13个circRNA和35个miRNA-mRNA对构建由DElncRNA和DEcircRNA共同介导的与PGC表达相关的ceRNA网络。与PGC直接相关的网络如下:SNHG16/hsa_circ_0008197-hsa-mir-98-5p/hsa-let-7f-5p/hsa-let-7c-5p-PGC。qRT-PCR验证结果表明,PGC、PPARG、SNHG16和hsa_circ_0008197在胃癌细胞和组织中差异表达:PGC与PPARG呈正相关(r = 0.276,P = 0.009)、与SNHG16呈正相关(r = 0.35,P = 0.002)、与hsa_circ_0008197呈正相关(r = 0.346,P = 0.005)。与PGC相关的DElncRNA和DEcircRNA共同介导复杂的ceRNA网络来调节PGC表达,从而在转录后水平影响胃癌的发生和发展。其中,与PGC表达直接相关的网络是SNHG16/hsa_circ_0008197-mir-98-5p/hsa-let-7f-5p/hsa-let-7c-5p - PGC轴。本研究可能为后续探索PGC在胃癌中可能的调控机制奠定基础。

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