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Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with a 5-year survival rate of <8%. Its dismal prognosis stems from inefficient therapeutic modalities owing to the lack of understanding about pancreatic cancer pathogenesis. Considering the molecular complexity and heterogeneity of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333820/ https://www.ncbi.nlm.nih.gov/pubmed/30644396 http://dx.doi.org/10.1038/s41598-018-36328-w |
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author | Khatri, Indu Ganguly, Koelina Sharma, Sunandini Carmicheal, Joseph Kaur, Sukhwinder Batra, Surinder K. Bhasin, Manoj K. |
author_facet | Khatri, Indu Ganguly, Koelina Sharma, Sunandini Carmicheal, Joseph Kaur, Sukhwinder Batra, Surinder K. Bhasin, Manoj K. |
author_sort | Khatri, Indu |
collection | PubMed |
description | Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with a 5-year survival rate of <8%. Its dismal prognosis stems from inefficient therapeutic modalities owing to the lack of understanding about pancreatic cancer pathogenesis. Considering the molecular complexity and heterogeneity of PDAC, identification of novel molecular contributors involved in PDAC onset and progression using global “omics” analysis will pave the way to improved strategies for disease prevention and therapeutic targeting. Meta-analysis of multiple miRNA microarray datasets containing healthy controls (HC), chronic pancreatitis (CP) and PDAC cases, identified 13 miRNAs involved in the progression of PDAC. These miRNAs showed dysregulation in both tissue as well as blood samples, along with progressive decrease in expression from HC to CP to PDAC. Gene-miRNA interaction analysis further elucidated 5 miRNAs (29a/b, 27a, 130b and 148a) that are significantly downregulated in conjunction with concomitant upregulation of their target genes throughout PDAC progression. Among these, miRNA-29a/b targeted genes were found to be most significantly altered in comparative profiling of HC, CP and PDAC, indicating its involvement in malignant evolution. Further, pathway analysis suggested direct involvement of miRNA-29a/b in downregulating the key pathways associated with PDAC development and metastasis including focal adhesion signaling and extracellular matrix organization. Our systems biology data analysis, in combination with real-time PCR validation indicates direct functional involvement of miRNA-29a in PDAC progression and is a potential prognostic marker and therapeutic candidate for patients with progressive disease. |
format | Online Article Text |
id | pubmed-6333820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63338202019-01-17 Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis Khatri, Indu Ganguly, Koelina Sharma, Sunandini Carmicheal, Joseph Kaur, Sukhwinder Batra, Surinder K. Bhasin, Manoj K. Sci Rep Article Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with a 5-year survival rate of <8%. Its dismal prognosis stems from inefficient therapeutic modalities owing to the lack of understanding about pancreatic cancer pathogenesis. Considering the molecular complexity and heterogeneity of PDAC, identification of novel molecular contributors involved in PDAC onset and progression using global “omics” analysis will pave the way to improved strategies for disease prevention and therapeutic targeting. Meta-analysis of multiple miRNA microarray datasets containing healthy controls (HC), chronic pancreatitis (CP) and PDAC cases, identified 13 miRNAs involved in the progression of PDAC. These miRNAs showed dysregulation in both tissue as well as blood samples, along with progressive decrease in expression from HC to CP to PDAC. Gene-miRNA interaction analysis further elucidated 5 miRNAs (29a/b, 27a, 130b and 148a) that are significantly downregulated in conjunction with concomitant upregulation of their target genes throughout PDAC progression. Among these, miRNA-29a/b targeted genes were found to be most significantly altered in comparative profiling of HC, CP and PDAC, indicating its involvement in malignant evolution. Further, pathway analysis suggested direct involvement of miRNA-29a/b in downregulating the key pathways associated with PDAC development and metastasis including focal adhesion signaling and extracellular matrix organization. Our systems biology data analysis, in combination with real-time PCR validation indicates direct functional involvement of miRNA-29a in PDAC progression and is a potential prognostic marker and therapeutic candidate for patients with progressive disease. Nature Publishing Group UK 2019-01-15 /pmc/articles/PMC6333820/ /pubmed/30644396 http://dx.doi.org/10.1038/s41598-018-36328-w Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Khatri, Indu Ganguly, Koelina Sharma, Sunandini Carmicheal, Joseph Kaur, Sukhwinder Batra, Surinder K. Bhasin, Manoj K. Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis |
title | Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis |
title_full | Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis |
title_fullStr | Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis |
title_full_unstemmed | Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis |
title_short | Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis |
title_sort | systems biology approach to identify novel genomic determinants for pancreatic cancer pathogenesis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333820/ https://www.ncbi.nlm.nih.gov/pubmed/30644396 http://dx.doi.org/10.1038/s41598-018-36328-w |
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