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Blood biomarkers of pancreatic cancer associated diabetes identified by peripheral blood-based gene expression profiles

ABSTRACT: The prognosis of pancreatic cancer is still very poor, how to detect pancreatic cancer from high-risk group in an early stage is essential for improving its long-time survival. Therefore, the purpose of this study was to explore specific biomarkers that can differentiate pancreatic cancer-associated diabetes from type-2 diabetes for the early detection of pancreatic cancer. In the current study, we used global gene transcription analysis with affymetrix gene chip to identify genes specifically expressed in pancreatic cancer-associated diabetes mellitus from peripheral blood samples in stead of from tissue samples. 32 peripheral blood samples were collected for microarray experiments to find differentially expressed genes specific for pancreatic cancer associated diabetes, which included 8 patients diagnosed as pancreatic cancer with diabetes, 8 patients of pancreatic cancer without diabetes, 8 patients with diabetes mellitus>5years and 8 healthy controls. the comparision was done between pancreatic cancer with diabetes vs normal, pancreatic cancer vs normal and diabetes vs normal to identify a small group of genes that differently expressed in the pancreatic cancer with diabetes group.

ORGANISM(S): Homo sapiens

SUBMITTER: Wu Yulian

PROVIDER: S-ECPF-GEOD-15932 | biostudies-other |

REPOSITORIES: biostudies-other

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Blood biomarkers of pancreatic cancer associated diabetes identified by peripheral blood-based gene expression profiles

Project description:The prognosis of pancreatic cancer is still very poor, how to detect pancreatic cancer from high-risk group in an early stage is essential for improving its long-time survival. Therefore, the purpose of this study was to explore specific biomarkers that can differentiate pancreatic cancer-associated diabetes from type-2 diabetes for the early detection of pancreatic cancer. In the current study, we used global gene transcription analysis with affymetrix gene chip to identify genes specifically expressed in pancreatic cancer-associated diabetes mellitus from peripheral blood samples in stead of from tissue samples. 32 peripheral blood samples were collected for microarray experiments to find differentially expressed genes specific for pancreatic cancer associated diabetes, which included 8 patients diagnosed as pancreatic cancer with diabetes, 8 patients of pancreatic cancer without diabetes, 8 patients with diabetes mellitus>5years and 8 healthy controls. the comparision was done between pancreatic cancer with diabetes vs normal, pancreatic cancer vs normal and diabetes vs normal to identify a small group of genes that differently expressed in the pancreatic cancer with diabetes group.

2012-04-30 | E-GEOD-15932 | biostudies-arrayexpress

Blood biomarkers of pancreatic cancer associated diabetes identified by peripheral blood-based gene expression profiles

2012-05-01 | GSE15932 | GEO

Peripheral blood gene expression profiles in metabolic syndrome, coronary artery disease and type 2 diabetes.

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Novel biomarkers distinguishing active tuberculosis from latent infection identified by gene expression profile of peripheral blood mononuclear cells.

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Peripheral blood metabolite profiles associated with new onset atrial fibrillation.

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Project description:Juvenile Idiopathic Arthritis (JIA) is one of the most common chronic disease conditions affecting children in the USA. As with many rheumatic diseases, there is growing interest in using genomic technologies to develop biomarkers for either diagnosis or to guide treatment ("personalized medicine"). Here, we explore the use of gene expression patterns in peripheral blood mononuclear cells (PBMC) as a first step approach to developing such biomarkers. Although PBMC carry many theoretical advantages for translational research, we have found that sample heterogeneity makes RNASeq on PBMC unsuitable as a first-step method for screening biomarker candidates in JIA. RNASeq studies of homogeneous cell populations are more likely to be useful and informative.

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MicroRNA expression aberration as potential peripheral blood biomarkers for schizophrenia.

Project description:Since brain tissue is not readily accessible, a new focus in search of biomarkers for schizophrenia is blood-based expression profiling of non-protein coding genes such as microRNAs (miRNAs), which regulate gene expression by inhibiting the translation of messenger RNAs. This study aimed to identify potential miRNA signature for schizophrenia by comparing genome-wide miRNA expression profiles in patients with schizophrenia vs. healthy controls. A genome-wide miRNA expression profiling was performed using a Taqman array of 365 human miRNAs in the mononuclear leukocytes of a learning set of 30 cases and 30 controls. The discriminating performance of potential biomarkers was validated in an independent testing set of 60 cases and 30 controls. The expression levels of the miRNA signature were then evaluated for their correlation with the patients' clinical symptoms, neurocognitive performances, and neurophysiological functions. A seven-miRNA signature (hsa-miR-34a, miR-449a, miR-564, miR-432, miR-548d, miR-572 and miR-652) was derived from a supervised classification with internal cross-validation, with an area under the curve (AUC) of receiver operating characteristics of 93%. The putative signature was then validated in the testing set, with an AUC of 85%. Among these miRNAs, miR-34a was differentially expressed between cases and controls in both the learning (P?=?0.005) and the testing set (P?=?0.002). These miRNAs were differentially correlated with patients' negative symptoms, neurocognitive performance scores, and event-related potentials. The results indicated that the mononuclear leukocyte-based miRNA profiling is a feasible way to identify biomarkers for schizophrenia, and the seven-miRNA signature warrants further investigation.

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Gene expression profiles associated with advanced pancreatic cancer.

Project description:Few studies have addressed the expression profiles associated with progression of pancreatic cancer to advanced disease. Towards this end, we performed expression profiling of a series of normal pancreas, pancreatitis and cancer tissues representing early stage resected pancreatic cancers (stages pT2/T3), late stage unresectable cancers (stage pT4) and matched metastases to a variety of organ sites. Microarray data was analyzed using linear modeling of microarray data (LIMMA), and differentially expressed genes were subjected to Gene Set Enrichment Analysis (GSEA). While robust differences were found in primary cancers as compared to normal pancreatic tissues, no differences were found between primary cancers and metastases, whether using matched or unmatched samples. When resected pancreatic cancers were specifically compared to advanced pancreatic cancers, significant differences in gene expression were found associated with growth at the primary site. These differentially expressed genes were most prominent in gene classes that related to MAPK and Wnt pathway, metabolism, immune regulation, cell-cell and cell-matrix interactions within the infiltrating carcinoma. One candidate upregulated gene (MXI1) was validated as having increased expression in advanced stage (T4) carcinomas by real-time PCR (p<0.05) and immunolabeling (p<0.003). We conclude that in addition to the robust changes in expression that accompany pancreatic carcinogenesis additional specific changes occur in association with growth at the primary site. By contrast, metastatic spread is not accompanied by reproducible changes in gene expression. These findings add to our understanding of pancreatic cancer and offer new topics for investigation into the aggressive nature of this deadly tumor type.

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Gene expression profiles in peripheral blood mononuclear cells of SARS patients.

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