A meta analysis of pancreatic microarray datasets yields new targets as cancer genes and biomarkers

The lack of specific symptoms at early tumor stages, together with a high biological aggressiveness of the tumor contribute to the high mortality rate for pancreatic cancer (PC), which has a five year survival rate of less than 5%. Improved screening for earlier diagnosis, through the detection of d...

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Veröffentlicht in:PloS one 2014-04, Vol.9 (4), p.e93046
Hauptverfasser: Goonesekere, Nalin C W, Wang, Xiaosheng, Ludwig, Lindsey, Guda, Chittibabu
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Guda, Chittibabu
description The lack of specific symptoms at early tumor stages, together with a high biological aggressiveness of the tumor contribute to the high mortality rate for pancreatic cancer (PC), which has a five year survival rate of less than 5%. Improved screening for earlier diagnosis, through the detection of diagnostic and prognostic biomarkers provides the best hope of increasing the rate of curatively resectable carcinomas. Though many serum markers have been reported to be elevated in patients with PC, so far, most of these markers have not been implemented into clinical routine due to low sensitivity or specificity. In this study, we have identified genes that are significantly upregulated in PC, through a meta-analysis of large number of microarray datasets. We demonstrate that the biological functions ascribed to these genes are clearly associated with PC and metastasis, and that that these genes exhibit a strong link to pathways involved with inflammation and the immune response. This investigation has yielded new targets for cancer genes, and potential biomarkers for pancreatic cancer. The candidate list of cancer genes includes protein kinase genes, new members of gene families currently associated with PC, as well as genes not previously linked to PC. In this study, we are also able to move towards developing a signature for hypomethylated genes, which could be useful for early detection of PC. We also show that the significantly upregulated 800+ genes in our analysis can serve as an enriched pool for tissue and serum protein biomarkers in pancreatic cancer.
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Improved screening for earlier diagnosis, through the detection of diagnostic and prognostic biomarkers provides the best hope of increasing the rate of curatively resectable carcinomas. Though many serum markers have been reported to be elevated in patients with PC, so far, most of these markers have not been implemented into clinical routine due to low sensitivity or specificity. In this study, we have identified genes that are significantly upregulated in PC, through a meta-analysis of large number of microarray datasets. We demonstrate that the biological functions ascribed to these genes are clearly associated with PC and metastasis, and that that these genes exhibit a strong link to pathways involved with inflammation and the immune response. This investigation has yielded new targets for cancer genes, and potential biomarkers for pancreatic cancer. 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Improved screening for earlier diagnosis, through the detection of diagnostic and prognostic biomarkers provides the best hope of increasing the rate of curatively resectable carcinomas. Though many serum markers have been reported to be elevated in patients with PC, so far, most of these markers have not been implemented into clinical routine due to low sensitivity or specificity. In this study, we have identified genes that are significantly upregulated in PC, through a meta-analysis of large number of microarray datasets. We demonstrate that the biological functions ascribed to these genes are clearly associated with PC and metastasis, and that that these genes exhibit a strong link to pathways involved with inflammation and the immune response. This investigation has yielded new targets for cancer genes, and potential biomarkers for pancreatic cancer. The candidate list of cancer genes includes protein kinase genes, new members of gene families currently associated with PC, as well as genes not previously linked to PC. In this study, we are also able to move towards developing a signature for hypomethylated genes, which could be useful for early detection of PC. We also show that the significantly upregulated 800+ genes in our analysis can serve as an enriched pool for tissue and serum protein biomarkers in pancreatic cancer.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24740004</pmid><doi>10.1371/journal.pone.0093046</doi><oa>free_for_read</oa></addata></record>
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subjects Biochemistry
Biology
Biology and Life Sciences
Biomarkers
Breast cancer
Cancer
Cancer survivors
Carcinoma
Care and treatment
CpG Islands
Datasets
Deoxyribonucleic acid
Diagnostic systems
DNA
DNA Methylation
DNA microarrays
Epigenetics
Gene expression
Gene Expression Regulation, Neoplastic
Gene families
Gene Regulatory Networks
Genes
Genetic aspects
Genetic Markers
Genetics
Genomes
Genomics
Health aspects
Immune response
Immune system
Kinases
Medical research
Medicine and Health Sciences
Meta-analysis
Metastases
Metastasis
Mutation
Oligonucleotide Array Sequence Analysis
Pancreatic cancer
Pancreatic Neoplasms - genetics
Promoter Regions, Genetic
Protein kinase
Proteins
Research and Analysis Methods
Studies
Up-Regulation
title A meta analysis of pancreatic microarray datasets yields new targets as cancer genes and biomarkers
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