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Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy associated with a poor prognosis. High-throughput disease-related-gene expression data provide valuable information on gene interaction, which consequently lead to deeper insight about pathogenesis. The co-expression analysis...

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Autores principales: Shokati Eshkiki, Zahra, Khayer, Nasibeh, Talebi, Atefeh, Karbalaei, Reza, Akbari, Abolfazl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855560/
https://www.ncbi.nlm.nih.gov/pubmed/35180880
http://dx.doi.org/10.1186/s12920-022-01174-3
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author Shokati Eshkiki, Zahra
Khayer, Nasibeh
Talebi, Atefeh
Karbalaei, Reza
Akbari, Abolfazl
author_facet Shokati Eshkiki, Zahra
Khayer, Nasibeh
Talebi, Atefeh
Karbalaei, Reza
Akbari, Abolfazl
author_sort Shokati Eshkiki, Zahra
collection PubMed
description BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy associated with a poor prognosis. High-throughput disease-related-gene expression data provide valuable information on gene interaction, which consequently lead to deeper insight about pathogenesis. The co-expression analysis is a common approach that is used to investigate gene interaction. However, such an approach solely is inadequate to reveal the complexity of the gene interaction. The three-way interaction model is known as a novel approach applied to decode the complex relationship between genes. METHODS: In the current study, the liquid association method was used to capture the statistically significant triplets involved in the PDAC pathogenesis. Subsequently, gene set enrichment and gene regulatory network analyses were performed to trace the biological relevance of the statistically significant triplets. RESULTS: The results of the current study suggest that “response to estradiol” and “Regulation of T-cell proliferation” are two critical biological processes that may be associated with the PDAC pathogenesis. Additionally, we introduced six switch genes, namely Lamc2, Klk1, Nqo1, Aox1, Tspan1, and Cxcl12, which might be involved in PDAC triggering. CONCLUSION: In the current study, for the first time, the critical genes and pathways involved in the PDAC pathogenesis were investigated using the three-way interaction approach. As a result, two critical biological processes, as well as six potential biomarkers, were suggested that might be involved in the PDAC triggering. Surprisingly, strong evidence for the biological relevance of our results can be found in the literature. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01174-3.
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spelling pubmed-88555602022-02-23 Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis Shokati Eshkiki, Zahra Khayer, Nasibeh Talebi, Atefeh Karbalaei, Reza Akbari, Abolfazl BMC Med Genomics Research BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy associated with a poor prognosis. High-throughput disease-related-gene expression data provide valuable information on gene interaction, which consequently lead to deeper insight about pathogenesis. The co-expression analysis is a common approach that is used to investigate gene interaction. However, such an approach solely is inadequate to reveal the complexity of the gene interaction. The three-way interaction model is known as a novel approach applied to decode the complex relationship between genes. METHODS: In the current study, the liquid association method was used to capture the statistically significant triplets involved in the PDAC pathogenesis. Subsequently, gene set enrichment and gene regulatory network analyses were performed to trace the biological relevance of the statistically significant triplets. RESULTS: The results of the current study suggest that “response to estradiol” and “Regulation of T-cell proliferation” are two critical biological processes that may be associated with the PDAC pathogenesis. Additionally, we introduced six switch genes, namely Lamc2, Klk1, Nqo1, Aox1, Tspan1, and Cxcl12, which might be involved in PDAC triggering. CONCLUSION: In the current study, for the first time, the critical genes and pathways involved in the PDAC pathogenesis were investigated using the three-way interaction approach. As a result, two critical biological processes, as well as six potential biomarkers, were suggested that might be involved in the PDAC triggering. Surprisingly, strong evidence for the biological relevance of our results can be found in the literature. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01174-3. BioMed Central 2022-02-18 /pmc/articles/PMC8855560/ /pubmed/35180880 http://dx.doi.org/10.1186/s12920-022-01174-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shokati Eshkiki, Zahra
Khayer, Nasibeh
Talebi, Atefeh
Karbalaei, Reza
Akbari, Abolfazl
Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis
title Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis
title_full Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis
title_fullStr Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis
title_full_unstemmed Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis
title_short Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis
title_sort novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855560/
https://www.ncbi.nlm.nih.gov/pubmed/35180880
http://dx.doi.org/10.1186/s12920-022-01174-3
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