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      Rapid detection of urinary long non-coding RNA urothelial carcinoma associated one using a PCR-free nanoparticle-based assay

      , , , ,
      Biomarkers
      Informa UK Limited

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          Abstract

          We developed a specific hybridization assay for direct detection of long non-coding RNA urothelial carcinoma associated-1 (lncRNA-UCA1). Total RNA was extracted from urine pellet samples (bladder carcinoma patients and controls). Then, we compared the developed nanoassay with quantitative real time polymerase chain reaction (qRT-PCR) results in detection of urine UCA1 in bladder cancer and control samples. The sensitivity and the specificity of UCA1 nanoassay were 92.1% and 93.3%, respectively. The concordance of the two methods was 98%. Interestingly, all bilharzial benign cases showed negative lncRNA-UCA1 using both methods. UCA1-nanoassay is a valid test for direct detection of urine UCA1 for bladder cancer detection.

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          Most cited references18

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Adsorption and surface-enhanced Raman of dyes on silver and gold sols

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              Long non-coding RNA UCA1 increases chemoresistance of bladder cancer cells by regulating Wnt signaling.

              Chemotherapy is a reasonable alternative to cystectomy in patients with invasive and advanced bladder cancer. However, bladder cancer cells often develop drug resistance to these therapies, and ~ 50% of patients with advanced bladder cancer do not respond to chemotherapy. Recent studies have shown that long non-coding RNA (lncRNA) is involved in the development of chemoresistance. Here we investigated the role of the urothelial cancer-associated 1 (UCA1) lncRNA in cisplatin resistance during chemotherapy for bladder cancer. We showed that cisplatin-based chemotherapy results in up-regulation of UCA1 expression in patients with bladder cancer. Similarly, UCA1 levels are increased in cisplatin-resistant bladder cancer cells. Over-expression of UCA1 significantly increases the cell viability during cisplatin treatment, whereas UCA1 knockdown reduces the cell viability during cisplatin treatment. UCA1 inhibition also partially overcomes drug resistance in cisplatin-resistant T24 cells. Furthermore, we showed that UCA1 positively regulates expression of wingless-type MMTV integration site family member 6 (Wnt6) in human bladder cancer cell lines. UCA1 and Wnt6 expression is also positively correlated in vivo. Up-regulation of UCA1 activates Wnt signaling in a Wnt6-dependent manner. We finally demonstrate that UCA1 increases the cisplatin resistance of bladder cancer cells by enhancing the expression of Wnt6, and thus represents a potential target to overcome chemoresistance in bladder cancer. © 2014 FEBS.
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                Author and article information

                Journal
                Biomarkers
                Biomarkers
                Informa UK Limited
                1354-750X
                1366-5804
                July 07 2015
                April 03 2015
                July 10 2015
                April 03 2015
                : 20
                : 3
                : 212-217
                Article
                10.3109/1354750X.2015.1062918
                26161701
                c1904b4f-6e39-4412-9f1f-b6349fb3a719
                © 2015
                History

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