Detail

Description

Expression Detail
Experiment ID:
EXP00134
Reference:
  • Title: Global microRNA expression profiling of microdissected tissues identifies miR-135b as a novel biomarker for pancreatic ductal adenocarcinoma.
  • Author: Munding JB, Adai AT, Maghnouj A, Urbanik A, Zöllner H, Liffers ST, Chromik AM, Uhl W, Szafranska-Schwarzbach AE, Tannapfel A, Hahn SA
  • Journal: International journal of cancer.2012 Jul 15;131(2):E86-95.doi:10.1002/ijc.26466.
  • Abstract: Pancreatic ductal adenocarcinoma (PDAC) is known for its poor prognosis resulting from being diagnosed at an advanced stage. Accurate early diagnosis and new therapeutic modalities are therefore urgently needed. MicroRNAs (miRNAs), considered a new class of biomarkers and therapeutic targets, may be able to fulfill those needs. Combining tissue microdissection with global miRNA array analyses, cell type-specific miRNA expression profiles were generated for normal pancreatic ductal cells, acinar cells, PDAC cells derived from xenografts and also from macrodissected chronic pancreatitis (CP) tissues. We identified 78 miRNAs differentially expressed between ND and PDAC cells providing new insights into the miRNA-driven pathophysiological mechanisms involved in PDAC development. Having filtered miRNAs which are upregulated in the three pairwise comparisons of PDAC vs. ND, PDAC vs. AZ and PDAC vs. CP, we identified 15 miRNA biomarker candidates including miR-135b. Using relative qRT-PCR to measure miR-135b normalized to miR-24 in 75 FFPE specimens (42 PDAC and 33 CP) covering a broad range of tumor content, we discriminated CP from PDAC with a sensitivity and specificity of 92.9% 95% CI=(80.5, 98.5) and 93.4% 95% CI=(79.8, 99.3), respectively. Furthermore, the area under the curve (AUC) value reached of 0.97 was accompanied by positive and negative predictive values of 95% and 91%, respectively. In conclusion, we report pancreatic cell-specific global miRNA profiles, which offer new candidate miRNAs to be exploited for functional studies in PDAC. Furthermore, we provide evidence that miRNAs are well-suited analytes for development of sensitive and specific aid-in-diagnosis tests for PDAC.
  • PMID: 21953293
Expression Profile:
  • Description:Global microRNA expression profiling of microdissected tissues from diseased and non-diseased pancreatic tissues
  • Organism:Homo sapiens
  • Source:GEO
  • Source ID:GSE25820
  • Platform: GPL7731
  • Number of samples:18
  • Overall design:Four condition (AZ, ND, PDAC, CP), each condition is represented by 4 to 5 biological replicates
  • Instrument:Agilent-019118 Human miRNA Microarray 2.0 G4470B (Feature Number version)
Design and Sample:
  • Cancer Type:pancreatic cancer
  • Cancer SubType:N/A
  • Cell Line:N/A
  • Experimental Design:cancer vs normal
  • Case Sample:pancreatic ductal adenocarcinoma
  • Control Sample:normal pancreatic ductal cell
  • Num of Case:5
  • Num of Control:4
  • Quantification Software:Limma
  • Num of miRNAs:535
Identification:
  • Num of Up:116
  • Num of Down:94
Time Info:
  • Create Time2016-03-14
  • Update Time:2021-05-27

Differentially Expressed miRNAs List

Status:
miRNA ID Cancer Type Design logFC AveExpr T value P value adj Pvalue Status Plot

Functional Chart