scholarly journals Association of Polymorphisms in three pri-miRNAs that Target Pepsinogen C with the Risk and Prognosis of Gastric Cancer

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Ye-feng Wu ◽  
Qian Xu ◽  
Cai-yun He ◽  
Ying Li ◽  
Jing-wei Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Pepsinogen C

Expression of pepsinogen C in gastric cancer and precancerous diseases and its clinical significance

2004 ◽  
Vol 1 (6) ◽  
pp. 422-426 ◽  
Author(s):  
Peifang Ning ◽  
Liping Sun ◽  
Huijie Liu ◽  
Yuan Yuan
Keyword(s):  
Gastric Cancer ◽  
Clinical Significance ◽  
Pepsinogen C

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

2021 ◽  
Author(s):  
Li-rong Yan ◽  
Han-xi Ding ◽  
Shi-xuan Shen ◽  
Xiao-dong Lu ◽  
Yuan Yuan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Rna Sequencing ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Transcriptional Level ◽  
Online Database ◽  
Gastric Cancer Cells ◽  
Pepsinogen C ◽  
Ppi Networks

Abstract Background 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. Materials and methods RNA sequencing technology was used to detect the differential expression profiles of PGC-related long non-coding (lnc)RNAs, circular (circ)RNAs, and mRNAs. The online database, STRING, was used to construct protein–protein interaction (PPI) networks of differentially expressed (DE) mRNAs. A 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. Results 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. Quantitative reverse transcriptase 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). Conclusion 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.

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

2021 ◽  
Author(s):  
Li-rong Yan ◽  
Han-xi Ding ◽  
Shi-xuan Shen ◽  
Xiao-dong Lu ◽  
Yuan Yuan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Pepsinogen C ◽  
Cerna Network ◽  
Mrna Profile

Expression of serum let-7c, let-7i, and let-7f microRNA with its target gene, pepsinogen C, in gastric cancer and precancerous disease

Tumor Biology ◽  
2014 ◽  
Vol 36 (5) ◽  
pp. 3337-3343 ◽  
Author(s):  
Wen-Jing Liu ◽  
Qian Xu ◽  
Li-Ping Sun ◽  
Qi-Guan Dong ◽  
Cai-yun He ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Target Gene ◽  
Pepsinogen C

Characterization of Pepsinogen C as a Potential Biomarker for Gastric Cancer Using a Histo-Proteomic Approach

2005 ◽  
Vol 4 (5) ◽  
pp. 1799-1804 ◽  
Author(s):  
Christian Melle ◽  
Günther Ernst ◽  
Bettina Schimmel ◽  
Annett Bleul ◽  
Roland Kaufmann ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Pepsinogen C ◽  
Proteomic Approach ◽  
Potential Biomarker
Sign in / Sign up

Export Citation Format

Share Document