Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis

Abstract: 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.

Indu Khatri, Koelina Ganguly, Sunandini Sharma, Joseph Carmicheal, Sukhwinder Kaur, Surinder K. Batra, and Manoj K. Bhasin. Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis. Scientific Reports, 2019.
@article { bib:2019_SysBio_PDAC,
author = { Indu Khatri and Koelina Ganguly and Sunandini Sharma and Joseph Carmicheal and Sukhwinder Kaur and Surinder K. Batra and Manoj K. Bhasin },
title = { Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis },
journal = { Scientific Reports },
number = { 9:123 },
year = { 2019 },
doi = { 10.1038/s41598-018-36328-w },
}
SysBio_PDAC screenshot

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