Global microRNA expression profiling of microdissected tissues identifies miR-135b as a novel biomarker for pancreatic ductal adenocarcinoma

被引:98
作者
Munding, Johanna B. [2 ]
Adai, Alex T. [3 ]
Maghnouj, Abdelouahid
Urbanik, Aleksandra
Zoellner, Hannah
Liffers, Sven T. [2 ]
Chromik, Ansgar M. [4 ]
Uhl, Waldemar [4 ]
Szafranska-Schwarzbach, Anna E. [3 ]
Tannapfel, Andrea [2 ]
Hahn, Stephan A. [1 ]
机构
[1] Ruhr Univ Bochum, Mol GI Oncol MGO, Dept Mol Gastrointestinal Oncol, D-44780 Bochum, Germany
[2] Ruhr Univ Bochum, Inst Pathol, D-44780 Bochum, Germany
[3] Asuragen Inc, Austin, TX USA
[4] Ruhr Univ Bochum, St Josef Hosp, Dept Visceral & Gen Surg, D-44780 Bochum, Germany
关键词
pancreatic ductal adenocarcinoma; hsa-miR-135b; diagnosis; microdissection; miRNA profile; TUMOR-SUPPRESSOR; GROWTH; ZEB1; GENE; EMT;
D O I
10.1002/ijc.26466
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
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页码:E86 / E95
页数:10
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