Transcriptional Profiling of Peripheral Blood in Pancreatic Adenocarcinoma Patients Identifies Diagnostic Biomarkers View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-07-29

AUTHORS

Octavio Caba, Jose Prados, Raúl Ortiz, Cristina Jiménez-Luna, Consolación Melguizo, Pablo J. Álvarez, Juan R. Delgado, Antonio Irigoyen, Ignacio Rojas, Javier Pérez-Florido, Carolina Torres, Sonia Perales, Ana Linares, Antonia Aránega

ABSTRACT

BackgroundPancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy associated with poor survival rates. Fast detection of PDAC appears to be the most relevant strategy to improve the long-term survival of patients.AimsOur objective was to identify new markers in peripheral blood that differentiates between PDAC patients and healthy controls.MethodsPeripheral blood samples from PDAC patients (n = 18) and controls (n = 18) were analyzed by whole genome cDNA microarray hybridization. The most relevant genes were validated by quantitative real-time PCR (RT-qPCR) in the same set of samples. Finally, our gene prediction set was tested in a blinded set of new peripheral blood samples (n = 30).ResultsMicroarray studies identified 87 genes differentially expressed in peripheral blood samples from PDAC patients. Four of these genes were selected for analysis by RT-qPCR, which confirmed the previously observed changes. In our blinded validation study, the combination of CLEC4D and IRAK3 predicted the diagnosis of PDAC with 93 % accuracy, with a sensitivity of 86 % and specificity of 100 %.ConclusionsPeripheral blood gene expression profiling is an useful tool for the diagnosis of PDAC. We present a validated four-gene predictor set (ANKRD22, CLEC4D, VNN1, and IRAK3) that may be useful in PDAC diagnosis. More... »

PAGES

2714-2720

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10620-014-3291-3

DOI

http://dx.doi.org/10.1007/s10620-014-3291-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036196078

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25069573


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25 schema:description BackgroundPancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy associated with poor survival rates. Fast detection of PDAC appears to be the most relevant strategy to improve the long-term survival of patients.AimsOur objective was to identify new markers in peripheral blood that differentiates between PDAC patients and healthy controls.MethodsPeripheral blood samples from PDAC patients (n = 18) and controls (n = 18) were analyzed by whole genome cDNA microarray hybridization. The most relevant genes were validated by quantitative real-time PCR (RT-qPCR) in the same set of samples. Finally, our gene prediction set was tested in a blinded set of new peripheral blood samples (n = 30).ResultsMicroarray studies identified 87 genes differentially expressed in peripheral blood samples from PDAC patients. Four of these genes were selected for analysis by RT-qPCR, which confirmed the previously observed changes. In our blinded validation study, the combination of CLEC4D and IRAK3 predicted the diagnosis of PDAC with 93 % accuracy, with a sensitivity of 86 % and specificity of 100 %.ConclusionsPeripheral blood gene expression profiling is an useful tool for the diagnosis of PDAC. We present a validated four-gene predictor set (ANKRD22, CLEC4D, VNN1, and IRAK3) that may be useful in PDAC diagnosis.
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32 schema:keywords Adenocarcinoma Patients Identifies Diagnostic Biomarkers
33 AimsOur objective
34 BackgroundPancreatic ductal adenocarcinoma
35 Clec4d
36 ConclusionsPeripheral blood gene expression profiling
37 IRAK3
38 Identifies Diagnostic Biomarkers
39 MethodsPeripheral blood samples
40 PCR
41 PDAC
42 PDAC diagnosis
43 PDAC patients
44 Pancreatic Adenocarcinoma Patients Identifies Diagnostic Biomarkers
45 Patients Identifies Diagnostic Biomarkers
46 RT-qPCR
47 ResultsMicroarray studies
48 accuracy
49 adenocarcinoma
50 analysis
51 biomarkers
52 blinded set
53 blinded validation study
54 blood
55 blood gene expression profiling
56 blood samples
57 cDNA microarray hybridization
58 changes
59 combination
60 combination of CLEC4D
61 control
62 detection
63 diagnosis
64 diagnosis of PDAC
65 diagnostic biomarkers
66 ductal adenocarcinoma
67 expression profiling
68 fast detection
69 four-gene predictor set
70 gene expression profiling
71 gene prediction set
72 genes
73 genome cDNA microarray hybridization
74 healthy controls
75 hybridization
76 lethal malignancy
77 long-term survival
78 malignancy
79 markers
80 microarray hybridization
81 new markers
82 new peripheral blood samples
83 objective
84 patients
85 peripheral blood
86 peripheral blood samples
87 poor survival rate
88 prediction set
89 predictor sets
90 profiling
91 quantitative real-time PCR
92 rate
93 real-time PCR
94 relevant genes
95 relevant strategies
96 same set
97 samples
98 sensitivity
99 set
100 specificity
101 strategies
102 study
103 survival
104 survival rate
105 tool
106 transcriptional profiling
107 useful tool
108 validation study
109 whole genome cDNA microarray hybridization
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