Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer

Abstract Pancreatic cancer has one of the worst prognoses in the world, which suggests that the tumor microenvironment, which is characterized by hypoxia and immunosuppression, plays a significant role in the prognosis and progression of pancreatic cancer. We identified PLAU, LDHA, and PKM as key ge...

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Main Authors: Yangdong Wu, Qingyan Kou, Lin Sun, Xiao Hu
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-36413-9
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author Yangdong Wu
Qingyan Kou
Lin Sun
Xiao Hu
author_facet Yangdong Wu
Qingyan Kou
Lin Sun
Xiao Hu
author_sort Yangdong Wu
collection DOAJ
description Abstract Pancreatic cancer has one of the worst prognoses in the world, which suggests that the tumor microenvironment, which is characterized by hypoxia and immunosuppression, plays a significant role in the prognosis and progression of pancreatic cancer. We identified PLAU, LDHA, and PKM as key genes involved in pancreatic cancer hypoxia through GO/KEGG enrichment related hypoxia pathways and cox regression, established prognostic models, and studied their relationship to immune invasion through bioinformatics using R and related online databases. We verified the high expression of PLAU, LDHA, and PKM in pancreatic cancer cells using qPCR in vitro, and we also discovered that the expression of PLAU, LDHA, and PKM in hypoxic pancreatic cancer cells differed from that in normal cultured pancreatic cancer cells. Finally, we discovered that our prognostic model accurately predicted postrain in pancreatic cancer patients with hypoxia and immune infiltration.
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spelling doaj.art-29becefeff37487f9cb6a709a8a36edf2023-06-11T11:11:59ZengNature PortfolioScientific Reports2045-23222023-06-0113111110.1038/s41598-023-36413-9Effects of anoxic prognostic model on immune microenvironment in pancreatic cancerYangdong Wu0Qingyan Kou1Lin Sun2Xiao Hu3Department of Hepatobiliary Pancreatic Surgery, The Affiliated Hospital of Qingdao UniversityDepartment of Hepatobiliary Pancreatic Surgery, The Affiliated Hospital of Qingdao UniversityDepartment of ICU, The Affiliated Hospital of Qingdao UniversityDepartment of Hepatobiliary Pancreatic Surgery, The Affiliated Hospital of Qingdao UniversityAbstract Pancreatic cancer has one of the worst prognoses in the world, which suggests that the tumor microenvironment, which is characterized by hypoxia and immunosuppression, plays a significant role in the prognosis and progression of pancreatic cancer. We identified PLAU, LDHA, and PKM as key genes involved in pancreatic cancer hypoxia through GO/KEGG enrichment related hypoxia pathways and cox regression, established prognostic models, and studied their relationship to immune invasion through bioinformatics using R and related online databases. We verified the high expression of PLAU, LDHA, and PKM in pancreatic cancer cells using qPCR in vitro, and we also discovered that the expression of PLAU, LDHA, and PKM in hypoxic pancreatic cancer cells differed from that in normal cultured pancreatic cancer cells. Finally, we discovered that our prognostic model accurately predicted postrain in pancreatic cancer patients with hypoxia and immune infiltration.https://doi.org/10.1038/s41598-023-36413-9
spellingShingle Yangdong Wu
Qingyan Kou
Lin Sun
Xiao Hu
Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer
Scientific Reports
title Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer
title_full Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer
title_fullStr Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer
title_full_unstemmed Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer
title_short Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer
title_sort effects of anoxic prognostic model on immune microenvironment in pancreatic cancer
url https://doi.org/10.1038/s41598-023-36413-9
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AT qingyankou effectsofanoxicprognosticmodelonimmunemicroenvironmentinpancreaticcancer
AT linsun effectsofanoxicprognosticmodelonimmunemicroenvironmentinpancreaticcancer
AT xiaohu effectsofanoxicprognosticmodelonimmunemicroenvironmentinpancreaticcancer