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PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer

Objective: To study the expression and clinical value of PD-L1 gene in pancreatic cancer, and to predict the role of PD-L1 gene in the development of pancreatic cancer. Methods: The pancreatic cancer datasets were downloaded from the Cancer Genome Atlas (TCGA) and the Oncomine to obtain the PD-L1 ge...

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Autores principales: Li, Jiajin, Yin, Lu, Chen, Yumei, An, Shuxian, Xiong, Yi, Huang, Gang, Liu, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364450/
https://www.ncbi.nlm.nih.gov/pubmed/34400885
http://dx.doi.org/10.7150/ijms.61771
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author Li, Jiajin
Yin, Lu
Chen, Yumei
An, Shuxian
Xiong, Yi
Huang, Gang
Liu, Jianjun
author_facet Li, Jiajin
Yin, Lu
Chen, Yumei
An, Shuxian
Xiong, Yi
Huang, Gang
Liu, Jianjun
author_sort Li, Jiajin
collection PubMed
description Objective: To study the expression and clinical value of PD-L1 gene in pancreatic cancer, and to predict the role of PD-L1 gene in the development of pancreatic cancer. Methods: The pancreatic cancer datasets were downloaded from the Cancer Genome Atlas (TCGA) and the Oncomine to obtain the PD-L1 gene expression profile and clinical information. Bioinformatics methods were used to analyze the correlation between the expression level of PD-L1 gene in pancreatic cancer and clinicopathological indicators, as well as its influence on prognosis. GSEA and WGCNA analysis was performed to predict the possible pathways of PD-L1 gene regulation in pancreatic cancer. TIMER and MCP-counter were used for PD-L1 with immune infiltration. The genes interact with PD-L1 were also investigated by STING and immunoco-precipitation combined with mass spectrometry analysis (IP-MS). Results: In TCGA database, the overall survival of patients with high expression of PD-L1 gene was significantly lower than that of patients with low expression of PD-L1 gene (χ(2) = 12.52, P < 0.001). The samples with high expression of PD-L1 gene showed enrichment of 8 pathways including toll-like receptor signaling pathway and NOD receptor signaling pathway (P < 0.01, FDR < 0.05). Immune infiltration analysis suggested that PD-L1 were associated with monocytic lineage (r = 0.5). The proteins interacting with PD-L1 are mainly concentrated in RNA binding, ribosome, spliceosome and other biological processes or pathways. Conclusion: PD-L1 gene may play an important role in the development of pancreatic cancer and is expected to be a prognostic indicator of pancreatic cancer.
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spelling pubmed-83644502021-08-15 PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer Li, Jiajin Yin, Lu Chen, Yumei An, Shuxian Xiong, Yi Huang, Gang Liu, Jianjun Int J Med Sci Research Paper Objective: To study the expression and clinical value of PD-L1 gene in pancreatic cancer, and to predict the role of PD-L1 gene in the development of pancreatic cancer. Methods: The pancreatic cancer datasets were downloaded from the Cancer Genome Atlas (TCGA) and the Oncomine to obtain the PD-L1 gene expression profile and clinical information. Bioinformatics methods were used to analyze the correlation between the expression level of PD-L1 gene in pancreatic cancer and clinicopathological indicators, as well as its influence on prognosis. GSEA and WGCNA analysis was performed to predict the possible pathways of PD-L1 gene regulation in pancreatic cancer. TIMER and MCP-counter were used for PD-L1 with immune infiltration. The genes interact with PD-L1 were also investigated by STING and immunoco-precipitation combined with mass spectrometry analysis (IP-MS). Results: In TCGA database, the overall survival of patients with high expression of PD-L1 gene was significantly lower than that of patients with low expression of PD-L1 gene (χ(2) = 12.52, P < 0.001). The samples with high expression of PD-L1 gene showed enrichment of 8 pathways including toll-like receptor signaling pathway and NOD receptor signaling pathway (P < 0.01, FDR < 0.05). Immune infiltration analysis suggested that PD-L1 were associated with monocytic lineage (r = 0.5). The proteins interacting with PD-L1 are mainly concentrated in RNA binding, ribosome, spliceosome and other biological processes or pathways. Conclusion: PD-L1 gene may play an important role in the development of pancreatic cancer and is expected to be a prognostic indicator of pancreatic cancer. Ivyspring International Publisher 2021-07-05 /pmc/articles/PMC8364450/ /pubmed/34400885 http://dx.doi.org/10.7150/ijms.61771 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
Li, Jiajin
Yin, Lu
Chen, Yumei
An, Shuxian
Xiong, Yi
Huang, Gang
Liu, Jianjun
PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer
title PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer
title_full PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer
title_fullStr PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer
title_full_unstemmed PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer
title_short PD-L1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer
title_sort pd-l1 correlated gene expression profiles and tumor infiltrating lymphocytes in pancreatic cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364450/
https://www.ncbi.nlm.nih.gov/pubmed/34400885
http://dx.doi.org/10.7150/ijms.61771
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