Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer

Abstract Exploring the underlying mechanisms of cancer development is useful for cancer treatment. In this paper, we analyzed the transcriptome profiles from the human normal pancreas, pancreatitis, pancreatic cancer and metastatic pancreatic cancer to study the intricate associations among pancreat...

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Autores principales:	Jihao Tu, Zhehao Huang, Yin Wang, Meijing Wang, Zukun Yin, Xianglin Mei, Meiying Li, Lisha Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d31544eb0cfb4b64adeb8d6b846f3c75
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spelling	oai:doaj.org-article:d31544eb0cfb4b64adeb8d6b846f3c752021-12-02T13:30:09ZTranscriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer10.1038/s41598-021-83015-42045-2322https://doaj.org/article/d31544eb0cfb4b64adeb8d6b846f3c752021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83015-4https://doaj.org/toc/2045-2322Abstract Exploring the underlying mechanisms of cancer development is useful for cancer treatment. In this paper, we analyzed the transcriptome profiles from the human normal pancreas, pancreatitis, pancreatic cancer and metastatic pancreatic cancer to study the intricate associations among pancreatic cancer progression. We clustered the transcriptome data, and analyzed the differential expressed genes. WGCNA was applied to construct co-expression networks and detect important modules. Importantly we selected the module in a different way. As the pancreatic disease deteriorates, the number of differentially expressed genes increases. The gene networks of T cells and interferon are upregulated in stages. In conclusion, the network-based study provides gradually activated gene networks in the disease progression of pancreatitis, pancreatic cancer, and metastatic pancreatic cancer. It may contribute to the rational design of anti-cancer drugs.Jihao TuZhehao HuangYin WangMeijing WangZukun YinXianglin MeiMeiying LiLisha LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jihao Tu Zhehao Huang Yin Wang Meijing Wang Zukun Yin Xianglin Mei Meiying Li Lisha Li Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer
description	Abstract Exploring the underlying mechanisms of cancer development is useful for cancer treatment. In this paper, we analyzed the transcriptome profiles from the human normal pancreas, pancreatitis, pancreatic cancer and metastatic pancreatic cancer to study the intricate associations among pancreatic cancer progression. We clustered the transcriptome data, and analyzed the differential expressed genes. WGCNA was applied to construct co-expression networks and detect important modules. Importantly we selected the module in a different way. As the pancreatic disease deteriorates, the number of differentially expressed genes increases. The gene networks of T cells and interferon are upregulated in stages. In conclusion, the network-based study provides gradually activated gene networks in the disease progression of pancreatitis, pancreatic cancer, and metastatic pancreatic cancer. It may contribute to the rational design of anti-cancer drugs.
format	article
author	Jihao Tu Zhehao Huang Yin Wang Meijing Wang Zukun Yin Xianglin Mei Meiying Li Lisha Li
author_facet	Jihao Tu Zhehao Huang Yin Wang Meijing Wang Zukun Yin Xianglin Mei Meiying Li Lisha Li
author_sort	Jihao Tu
title	Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer
title_short	Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer
title_full	Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer
title_fullStr	Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer
title_full_unstemmed	Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer
title_sort	transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d31544eb0cfb4b64adeb8d6b846f3c75
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Transcriptome analysis of the procession from chronic pancreatitis to pancreatic cancer and metastatic pancreatic cancer

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