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468 Background: Detection of circulating tumor cells (CTC) may provide diagnostic and prognostic information in genitourinary tumors (GT). The aim of this work was identify aberrantly expressed miRNAs potentially useful for CTC detection in blood samples from patients with GT to assess their potential clinical significance, and to gain a greater understanding of the mechanisms driving tumor progression. Methods: We examined blood levels of 92 microRNAs in 113 metastatic patients: prostate (mP), renal cell carcinoma (mRCC), bladder tumors (mB) and healthy volunteers (HV) (N=18) using SYBR-green-based microRNA RT-qPCR arrays (Exiqon). Array design was made by literature review and bioinformatics approach using free databases. Relative Expression Software Tool (REST) and SPPS 21.0 were used to data processing and analysis. Results: microRNAs differential expressed between tumors and HV (only up-regulated miRNAs are shown in Table). Conclusions: microRNAs in the circulation are relatively stable, very accessible, low invasive and easily testable biomarkers. These results suggest that our bioinformatic approach is an useful high-throughput method to identified tumors-associated miRNAs. The selected miRNAs should be further evaluated for their potential as markers for CTC detection, prognosis and therapeutic outcome. Further studies of precision and sensitivity on these markers in this GT population will clarify its role as novel stable blood-based markers. [Table: see text]

451 Background: Renal cell carcinoma (RCC) is known to be resistant to chemotherapy. There is need for the identification of biomarkers capable to determine RCC prognosis factors and metastatic potential obtainable from non-invasive or minimally invasive techniques. Our aim was to derive predictive models which could predict more accurately than any one factor alone. Methods: To studythe cascade of events leading to the formation and progression of RCC, we assessed 29 markers by immunohistochemistry and qRT-PCR using tissue micro-array (TMA). Results: Multivariate logistic regression showed the best proteins combination for node status (NOTCH1 and GLUT5) and pelvis invasion (EGFR and DLL3). ROC curve analyses were made to analyse the accuracy of the best candidate proteins; it should be noted NOTCH1 and GLUT5 for node status prediction (AUC=0.833, 95% CI, 0.744-0.922; p

e20533Background: Median overall survival (mOS) of SqLC is 9-10 months, despite treatment with platinum combinations. The ERCC1 expression is related to platinum resistance, so it could help to sel...

e19017 Background: The standard treatment for elderly patients in advanced NS-NSCLC is not defined. The aim of this study was to evaluate the efficacy and safety profile of the combination of carbo...