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    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2012
    In:  Journal of Clinical Oncology Vol. 30, No. 4_suppl ( 2012-02-01), p. 160-160
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 30, No. 4_suppl ( 2012-02-01), p. 160-160
    Abstract: 160 Background: MicroRNAs (miRs) regulate genes with important roles in oncogenesis, angiogenesis and tissue differentiation. MiRs have high tissue-specific expression patterns and are interesting new biomarkers with a potential for earlier diagnosis of pancreatic cancer (PC). The aim was: 1) to identify a panel of diagnostic miRs in serum that can separate patients with PC from patients with chronic pancreatitis (CP) and healthy subjects (HS); and 2) to use statistical methods that make the analysis of the miR panel less sensitive to known methodological day-to-day variation. Methods: RNA was purified from serum according to SOP in pretreatment samples stored at −80°C from two prospective studies of 139 patients with PC (101 were operated and 38 had locally or metastatic PC), 17 patients with CP and 50 healthy subjects from 4 University Hospitals. MiR expression was measured using TaqMan Array Human MicroRNA A and B cards (v3.0 Applied Biosystems) profiling 768 miR. Raw miR expression values were checked for outliers. In a univariate selection method the rank of each miR (miRs were ranked for each subject) was related to PC using logistic regression. MiRs with p-values below 0.000001 were tested in a multivariate analysis. Results: Serum samples from 206 patients had acceptable miR. After exclusion of miRs that was undetermined in ≥20% of samples 85 miRs were considered in the univariate analysis and 12 of these subsequently included in the multivariate model. Seven miRs were significantly associated with PC. For all miRs in the diagnostic panel decreased expression is associated with PC. Conclusions: We present a diagnostic panel of 7 miRs in serum that discriminates samples from patients with PC from patients with CP and HS. The 7 miRs were selected with a rank-based method, which is a novel non-parametric method for data processing in miRNA array studies. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2012
    detail.hit.zdb_id: 2005181-5
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