Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma

Pancreatic adenocarcinoma (PAAD) is a prevalent and aggressive malignancy in the digestive tract, requiring accurate prediction and effective treatment strategies. Recently, the discovery of disulfidptosis, a novel form of programmed cell death characterized by abnormal disulfide accumulation, has s...

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Main Authors: Li Yu, Chen Miao-xuan, Li Hai-tao, Cai Xiao-ming, Chen Bo, Xie Ze-feng
Format: Article
Language:English
Published: De Gruyter 2024-03-01
Series:Open Medicine
Subjects:
Online Access:https://doi.org/10.1515/med-2024-0906
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author Li Yu
Chen Miao-xuan
Li Hai-tao
Cai Xiao-ming
Chen Bo
Xie Ze-feng
author_facet Li Yu
Chen Miao-xuan
Li Hai-tao
Cai Xiao-ming
Chen Bo
Xie Ze-feng
author_sort Li Yu
collection DOAJ
description Pancreatic adenocarcinoma (PAAD) is a prevalent and aggressive malignancy in the digestive tract, requiring accurate prediction and effective treatment strategies. Recently, the discovery of disulfidptosis, a novel form of programmed cell death characterized by abnormal disulfide accumulation, has sparked interest in its role in PAAD. In this study, we aimed to investigate the involvement of disulfidptosis-related genes (DRGs) in PAAD. Using publicly available databases, we conducted a comprehensive analysis exploring the complex relationships between DRGs and important aspects of PAAD, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we observed significant heterogeneity among different disulfidptosis subclusters and identified specific differentially expressed genes in PAAD. Through machine learning techniques, we identified SLC7A11, S100A4, DIAPH3, PRDX1, and SLC7A7 as the most relevant hub genes. We further validated their significance in PAAD by considering their expression patterns, prognostic value, diagnostic potential, diagnostic model, and immune infiltration. This study presents exciting opportunities and challenges in unraveling the underlying mechanisms of PAAD prognosis. It also establishes a foundation for personalized cancer care and the development of innovative immunotherapeutic strategies. By shedding light on the role of DRGs, particularly hub genes, we enhance our understanding and management of PAAD.
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spelling doaj.art-6af67c7c527042b5b7ccc42d12698a312024-03-11T10:04:38ZengDe GruyterOpen Medicine2391-54632024-03-011912094910.1515/med-2024-0906Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinomaLi Yu0Chen Miao-xuan1Li Hai-tao2Cai Xiao-ming3Chen Bo4Xie Ze-feng5The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, ChinaPancreatic adenocarcinoma (PAAD) is a prevalent and aggressive malignancy in the digestive tract, requiring accurate prediction and effective treatment strategies. Recently, the discovery of disulfidptosis, a novel form of programmed cell death characterized by abnormal disulfide accumulation, has sparked interest in its role in PAAD. In this study, we aimed to investigate the involvement of disulfidptosis-related genes (DRGs) in PAAD. Using publicly available databases, we conducted a comprehensive analysis exploring the complex relationships between DRGs and important aspects of PAAD, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we observed significant heterogeneity among different disulfidptosis subclusters and identified specific differentially expressed genes in PAAD. Through machine learning techniques, we identified SLC7A11, S100A4, DIAPH3, PRDX1, and SLC7A7 as the most relevant hub genes. We further validated their significance in PAAD by considering their expression patterns, prognostic value, diagnostic potential, diagnostic model, and immune infiltration. This study presents exciting opportunities and challenges in unraveling the underlying mechanisms of PAAD prognosis. It also establishes a foundation for personalized cancer care and the development of innovative immunotherapeutic strategies. By shedding light on the role of DRGs, particularly hub genes, we enhance our understanding and management of PAAD.https://doi.org/10.1515/med-2024-0906disulfidptosispancreatic adenocarcinomamachine learningprognostic modelimmune infiltration
spellingShingle Li Yu
Chen Miao-xuan
Li Hai-tao
Cai Xiao-ming
Chen Bo
Xie Ze-feng
Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma
Open Medicine
disulfidptosis
pancreatic adenocarcinoma
machine learning
prognostic model
immune infiltration
title Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma
title_full Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma
title_fullStr Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma
title_full_unstemmed Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma
title_short Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma
title_sort comprehensive analysis based on the disulfidptosis related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma
topic disulfidptosis
pancreatic adenocarcinoma
machine learning
prognostic model
immune infiltration
url https://doi.org/10.1515/med-2024-0906
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