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Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer
Pepsinogen C (PGC) is considered to be the final product of mature differentiated gastric mucosa. The expression level of PGC in gastric mucosa is clearly decreased upon the development of gastric cancer (GC). However, the mechanism behind PGC's down-regulation remains unclear and needs to be c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Ivyspring International Publisher
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176405/ https://www.ncbi.nlm.nih.gov/pubmed/34093839 http://dx.doi.org/10.7150/jca.47787 |
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author | Ding, Han-xi Wu, Ye-feng Xu, Qian Yuan, Yuan |
author_facet | Ding, Han-xi Wu, Ye-feng Xu, Qian Yuan, Yuan |
author_sort | Ding, Han-xi |
collection | PubMed |
description | Pepsinogen C (PGC) is considered to be the final product of mature differentiated gastric mucosa. The expression level of PGC in gastric mucosa is clearly decreased upon the development of gastric cancer (GC). However, the mechanism behind PGC's down-regulation remains unclear and needs to be clarified. This study aimed to identify PGC-related ncRNAs with the potential to be PGC post-transcriptional regulators and to further explore the association between these ncRNAs and the clinicopathological parameters of GC. Bioinformatic software was used to predict miRNAs binding specifically to PGC and circRNAs binding specifically to these candidate miRNAs. Dual-luciferase reporter assay was performed to validate the completely complementary pairing of PGC and PGC-related ncRNAs. qRT-PCR was applied to determine the expression levels of PGC and PGC-related ncRNAs in GC tissue. hsa-let-7c was predicted to bind to the PGC gene, which was confirmed by dual-luciferase reporter assay. hsa_circ_0001483 and hsa_circ_0001324 were identified to bind to hsa-let-7c by bioinformatic analysis and dual-luciferase reporter assay. In addition, the hsa_circ_0001483/hsa_circ_0001324 -hsa-let-7c-PGC axis was confirmed in tissue by qRT-PCR. The expression level of hsa_circ_0001483 was correlated with peritumoral inflammatory cell infiltration and lymphatic metastasis. hsa_circ_0001483, hsa_circ_0001324, and let-7c were newly identified and validated as PGC-related ncRNAs and showed associations with the clinicopathological features of GC. The hsa_circ_0001483/hsa_circ_0001324-hsa-let-7c-PGC axis in GC may account for the down-regulation of PGC in GC tissue. |
format | Online Article Text |
id | pubmed-8176405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-81764052021-06-04 Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer Ding, Han-xi Wu, Ye-feng Xu, Qian Yuan, Yuan J Cancer Research Paper Pepsinogen C (PGC) is considered to be the final product of mature differentiated gastric mucosa. The expression level of PGC in gastric mucosa is clearly decreased upon the development of gastric cancer (GC). However, the mechanism behind PGC's down-regulation remains unclear and needs to be clarified. This study aimed to identify PGC-related ncRNAs with the potential to be PGC post-transcriptional regulators and to further explore the association between these ncRNAs and the clinicopathological parameters of GC. Bioinformatic software was used to predict miRNAs binding specifically to PGC and circRNAs binding specifically to these candidate miRNAs. Dual-luciferase reporter assay was performed to validate the completely complementary pairing of PGC and PGC-related ncRNAs. qRT-PCR was applied to determine the expression levels of PGC and PGC-related ncRNAs in GC tissue. hsa-let-7c was predicted to bind to the PGC gene, which was confirmed by dual-luciferase reporter assay. hsa_circ_0001483 and hsa_circ_0001324 were identified to bind to hsa-let-7c by bioinformatic analysis and dual-luciferase reporter assay. In addition, the hsa_circ_0001483/hsa_circ_0001324 -hsa-let-7c-PGC axis was confirmed in tissue by qRT-PCR. The expression level of hsa_circ_0001483 was correlated with peritumoral inflammatory cell infiltration and lymphatic metastasis. hsa_circ_0001483, hsa_circ_0001324, and let-7c were newly identified and validated as PGC-related ncRNAs and showed associations with the clinicopathological features of GC. The hsa_circ_0001483/hsa_circ_0001324-hsa-let-7c-PGC axis in GC may account for the down-regulation of PGC in GC tissue. Ivyspring International Publisher 2021-05-27 /pmc/articles/PMC8176405/ /pubmed/34093839 http://dx.doi.org/10.7150/jca.47787 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Ding, Han-xi Wu, Ye-feng Xu, Qian Yuan, Yuan Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer |
title | Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer |
title_full | Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer |
title_fullStr | Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer |
title_full_unstemmed | Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer |
title_short | Identification of PGC-related ncRNAs and their relationship with the clinicopathological features of Gastric Cancer |
title_sort | identification of pgc-related ncrnas and their relationship with the clinicopathological features of gastric cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176405/ https://www.ncbi.nlm.nih.gov/pubmed/34093839 http://dx.doi.org/10.7150/jca.47787 |
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