Cargando…
SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN
The existing biomarkers are insufficient for predicting the prognosis of pancreatic ductal adenocarcinoma (PDAC). Intraductal papillary mucinous neoplasm (IPMN) is a precursor to PDAC; therefore, identifying biomarkers from differentially expressed genes (DEGs) of PDAC and IPMN is a new and reliable...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618477/ https://www.ncbi.nlm.nih.gov/pubmed/37907515 http://dx.doi.org/10.1038/s41598-023-44646-x |
_version_ | 1785129784104189952 |
---|---|
author | Zhang, Chuan-long Shen, Qian Liu, Fu-dong Yang, Fan Gao, Meng-qi Jiang, Xiao-chen Li, Yi Zhang, Xi-yuan En, Ge-er Pan, Xue Pang, Bo |
author_facet | Zhang, Chuan-long Shen, Qian Liu, Fu-dong Yang, Fan Gao, Meng-qi Jiang, Xiao-chen Li, Yi Zhang, Xi-yuan En, Ge-er Pan, Xue Pang, Bo |
author_sort | Zhang, Chuan-long |
collection | PubMed |
description | The existing biomarkers are insufficient for predicting the prognosis of pancreatic ductal adenocarcinoma (PDAC). Intraductal papillary mucinous neoplasm (IPMN) is a precursor to PDAC; therefore, identifying biomarkers from differentially expressed genes (DEGs) of PDAC and IPMN is a new and reliable strategy for predicting the prognosis of PDAC. In this study, four datasets were downloaded from the Gene Expression Omnibus database and standardized using the R package ‘limma.’ A total of 51 IPMN and 81 PDAC samples were analyzed, and 341 DEGs in PDAC and IPMN were identified; DEGs were involved in the extracellular matrix and tumor microenvironment. An acceptable survival prognosis was demonstrated by SDC1 and ITGA2, which were highly expressed during in vitro PDAC cell proliferation, apoptosis, and migration. SDC1(high) was enriched in interferon alpha (IFN-α) response and ITGA2(high) was primarily detected in epithelial-mesenchymal transition (EMT), which was verified using western blotting. We concluded that SDC1 and ITGA2 are potential prognostic biomarkers for PDAC associated with IPMN. Downregulation of SDC1 and ITGA2 expression in PDAC occurs via a mechanism involving possible regulation of IFN-α response, EMT, and immunity, which may act as new targets for PDAC therapy. |
format | Online Article Text |
id | pubmed-10618477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106184772023-11-02 SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN Zhang, Chuan-long Shen, Qian Liu, Fu-dong Yang, Fan Gao, Meng-qi Jiang, Xiao-chen Li, Yi Zhang, Xi-yuan En, Ge-er Pan, Xue Pang, Bo Sci Rep Article The existing biomarkers are insufficient for predicting the prognosis of pancreatic ductal adenocarcinoma (PDAC). Intraductal papillary mucinous neoplasm (IPMN) is a precursor to PDAC; therefore, identifying biomarkers from differentially expressed genes (DEGs) of PDAC and IPMN is a new and reliable strategy for predicting the prognosis of PDAC. In this study, four datasets were downloaded from the Gene Expression Omnibus database and standardized using the R package ‘limma.’ A total of 51 IPMN and 81 PDAC samples were analyzed, and 341 DEGs in PDAC and IPMN were identified; DEGs were involved in the extracellular matrix and tumor microenvironment. An acceptable survival prognosis was demonstrated by SDC1 and ITGA2, which were highly expressed during in vitro PDAC cell proliferation, apoptosis, and migration. SDC1(high) was enriched in interferon alpha (IFN-α) response and ITGA2(high) was primarily detected in epithelial-mesenchymal transition (EMT), which was verified using western blotting. We concluded that SDC1 and ITGA2 are potential prognostic biomarkers for PDAC associated with IPMN. Downregulation of SDC1 and ITGA2 expression in PDAC occurs via a mechanism involving possible regulation of IFN-α response, EMT, and immunity, which may act as new targets for PDAC therapy. Nature Publishing Group UK 2023-10-31 /pmc/articles/PMC10618477/ /pubmed/37907515 http://dx.doi.org/10.1038/s41598-023-44646-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Chuan-long Shen, Qian Liu, Fu-dong Yang, Fan Gao, Meng-qi Jiang, Xiao-chen Li, Yi Zhang, Xi-yuan En, Ge-er Pan, Xue Pang, Bo SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN |
title | SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN |
title_full | SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN |
title_fullStr | SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN |
title_full_unstemmed | SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN |
title_short | SDC1 and ITGA2 as novel prognostic biomarkers for PDAC related to IPMN |
title_sort | sdc1 and itga2 as novel prognostic biomarkers for pdac related to ipmn |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618477/ https://www.ncbi.nlm.nih.gov/pubmed/37907515 http://dx.doi.org/10.1038/s41598-023-44646-x |
work_keys_str_mv | AT zhangchuanlong sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT shenqian sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT liufudong sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT yangfan sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT gaomengqi sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT jiangxiaochen sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT liyi sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT zhangxiyuan sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT engeer sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT panxue sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn AT pangbo sdc1anditga2asnovelprognosticbiomarkersforpdacrelatedtoipmn |