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J Cell Biochem. 2017 Nov;118(11):3976-3985. doi: 10.1002/jcb.26053. Epub 2017 May 23.

Comprehensive Dissection of Transcriptome Data and Regulatory Factors in Pancreatic Cancer Cells.

Author information

1
Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
2
Faculty of Medicine, Department of Human Genetics, McGill University, Montreal, Quebec, Canada.
3
Department of Psychiatry, Sackler Program for Epigenetics and Psychobiology at McGill University, Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada.
4
Faculty of Medicine and Dentistry, Department of Medical Genetics and Signal Transduction Research Group, University of Alberta, Edmonton, Alberta, Canada.
5
Department of Biology, School of Sciences, Razi University, Kermanshah, Kermanshah, Iran.

Abstract

Features of pancreatic cancers include high mortality rates caused by rapid tumor progression and a lack of effective therapy. Underpinning the molecular mechanisms involved in the alteration of the gene expression program in the pancreatic cancer remains to be understood. In the current study, we performed a comprehensive analysis using 282 pancreatic tumor and normal samples from seven independent expression data sets to provide a better view on the interactions between different transcription factors (TFs) and the most affected biological pathways in pancreatic cancer. We highlighted common differentially expressed genes (DEGs) and common affected processes within pancreatic cancer samples. We revealed 16 main DE-TFs that regulated gene expression alterations as well as the most significant processes in pancreatic cancer compared to normal cells. For example, we found the upregulated FOXM1 to be a top regulator of pancreatic cellular transformation based on results from different analyses, including from its regulation of gene regulatory networks, its presence in protein complex, its significant regulation of genes related to cancer pathways, and its regulation of most of the identified DE-TFs. Furthermore, we provided a model and assessed the role of different DE-TFs in the regulation of the most affected pancreatic- and cancer-specific processes. In conclusion, our bioinformatics meta-analysis of high throughput expression data sets, besides clarifying common affected genes and pathways, also showed the mechanisms involved in regulating these common profiles. Our results, especially for DE-TFs, could potentially be useful for screening for pancreatic cancer, and for confirming or determining novel pharmacological targets. J. Cell. Biochem. 118: 3976-3985, 2017.

KEYWORDS:

GENE EXPRESSION; PANCREATIC CANCER; REGULATORY NETWORKS; TRANSCRIPTION FACTORS

PMID:
28401644
DOI:
10.1002/jcb.26053
[Indexed for MEDLINE]

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