Proteogenomic analysis of pancreatic cancer subtypes.

Pancreatic cancer remains a significant public health problem with an ever-rising incidence of disease. Cancers of the pancreas are characterised by various molecular aberrations, including changes in the proteomics and genomics landscape of the tumour cells. Therefore, there is a need to identify t...

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Autores principales:	Doris Kafita, Panji Nkhoma, Mildred Zulu, Musalula Sinkala
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cf0b08d2ebdf42f7ad4ffe039205c97d
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spelling	oai:doaj.org-article:cf0b08d2ebdf42f7ad4ffe039205c97d2021-12-02T20:08:20ZProteogenomic analysis of pancreatic cancer subtypes.1932-620310.1371/journal.pone.0257084https://doaj.org/article/cf0b08d2ebdf42f7ad4ffe039205c97d2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257084https://doaj.org/toc/1932-6203Pancreatic cancer remains a significant public health problem with an ever-rising incidence of disease. Cancers of the pancreas are characterised by various molecular aberrations, including changes in the proteomics and genomics landscape of the tumour cells. Therefore, there is a need to identify the proteomic landscape of pancreatic cancer and the specific genomic and molecular alterations associated with disease subtypes. Here, we carry out an integrative bioinformatics analysis of The Cancer Genome Atlas dataset, including proteomics and whole-exome sequencing data collected from pancreatic cancer patients. We apply unsupervised clustering on the proteomics dataset to reveal the two distinct subtypes of pancreatic cancer. Using functional and pathway analysis based on the proteomics data, we demonstrate the different molecular processes and signalling aberrations of the pancreatic cancer subtypes. In addition, we explore the clinical characteristics of these subtypes to show differences in disease outcome. Using datasets of mutations and copy number alterations, we show that various signalling pathways previously associated with pancreatic cancer are altered among both subtypes of pancreatic tumours, including the Wnt pathway, Notch pathway and PI3K-mTOR pathways. Altogether, we reveal the proteogenomic landscape of pancreatic cancer subtypes and the altered molecular processes that can be leveraged to devise more effective treatments.Doris KafitaPanji NkhomaMildred ZuluMusalula SinkalaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257084 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Doris Kafita Panji Nkhoma Mildred Zulu Musalula Sinkala Proteogenomic analysis of pancreatic cancer subtypes.
description	Pancreatic cancer remains a significant public health problem with an ever-rising incidence of disease. Cancers of the pancreas are characterised by various molecular aberrations, including changes in the proteomics and genomics landscape of the tumour cells. Therefore, there is a need to identify the proteomic landscape of pancreatic cancer and the specific genomic and molecular alterations associated with disease subtypes. Here, we carry out an integrative bioinformatics analysis of The Cancer Genome Atlas dataset, including proteomics and whole-exome sequencing data collected from pancreatic cancer patients. We apply unsupervised clustering on the proteomics dataset to reveal the two distinct subtypes of pancreatic cancer. Using functional and pathway analysis based on the proteomics data, we demonstrate the different molecular processes and signalling aberrations of the pancreatic cancer subtypes. In addition, we explore the clinical characteristics of these subtypes to show differences in disease outcome. Using datasets of mutations and copy number alterations, we show that various signalling pathways previously associated with pancreatic cancer are altered among both subtypes of pancreatic tumours, including the Wnt pathway, Notch pathway and PI3K-mTOR pathways. Altogether, we reveal the proteogenomic landscape of pancreatic cancer subtypes and the altered molecular processes that can be leveraged to devise more effective treatments.
format	article
author	Doris Kafita Panji Nkhoma Mildred Zulu Musalula Sinkala
author_facet	Doris Kafita Panji Nkhoma Mildred Zulu Musalula Sinkala
author_sort	Doris Kafita
title	Proteogenomic analysis of pancreatic cancer subtypes.
title_short	Proteogenomic analysis of pancreatic cancer subtypes.
title_full	Proteogenomic analysis of pancreatic cancer subtypes.
title_fullStr	Proteogenomic analysis of pancreatic cancer subtypes.
title_full_unstemmed	Proteogenomic analysis of pancreatic cancer subtypes.
title_sort	proteogenomic analysis of pancreatic cancer subtypes.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/cf0b08d2ebdf42f7ad4ffe039205c97d
work_keys_str_mv	AT doriskafita proteogenomicanalysisofpancreaticcancersubtypes AT panjinkhoma proteogenomicanalysisofpancreaticcancersubtypes AT mildredzulu proteogenomicanalysisofpancreaticcancersubtypes AT musalulasinkala proteogenomicanalysisofpancreaticcancersubtypes
_version_	1718375209001549824

Proteogenomic analysis of pancreatic cancer subtypes.

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