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Biomedical subjects

Laura E Crocitto

Publications and source records attributed to Laura E Crocitto.

3 recordsLinked to original sources

Prostate cancer molecular markers GSTP1 and hTERT in expressed prostatic secretions as predictors of biopsy results.

OBJECTIVES: To develop noninvasive diagnostic tools for the early detection of prostate cancer (PCa). Current screening for PCa lacks sensitivity and specificity. Two molecular markers, telomerase activity and aberrant methylation of the glutathione S-transferase P1 (GSTP1) promoter, are found in more than 90% of PCa specimens. Additionally, these markers can be detected in bodily fluids such as urine and postprostatic massage urethral washes. METHODS: Expressed prostatic secretions (EPS) from men being evaluated for PCa were analyzed for human telomerase reverse transcriptase (hTERT) expression (the critical factor for telomerase activity) and GSTP1 methylation status. The results were compared with the prostate needle biopsy findings. RESULTS: EPS could be obtained from 86% of all subjects, and 90% of these samples yielded sufficient RNA and/or DNA for assaying. hTERT expression from EPS (n = 49) had 36% sensitivity and 66% specificity, and GSTP1 methylation from EPS (n = 58) had 46% sensitivity and 56% specificity for the detection of PCa. The combined analysis (n = 32) of hTERT and GSTP1 had 73% sensitivity and 43% specificity, giving a positive predictive value of 40% and a negative predictive value of 75%. CONCLUSIONS: These results demonstrate that EPS can be successfully obtained and easily tested for hTERT expression and GSTP1 methylation. Tests with a high negative predictive value, such as our combination assay results, could be useful in augmenting current PCa diagnostic procedures. For example, the examination of EPS for hTERT and GSTP1 methylation in patients with an elevated prostate-specific antigen level might be used in predicting which patients will have negative biopsies. The use of this assay could potentially eliminate up to 30% of costly and invasive needle biopsies.

Adenocarcinoma↗

Mobility-shift analysis with microfluidics chips.

Electrophoretic mobility shift analysis (EMSA) is a well-characterized and widely used technique for the analysis of proten-DNA interaction and the analysis of transcription factor combinatorics. Currently implemented EMSA generally involves the time-consuming use of radiolabeled DNA and polyacrylamide gel electrophoresis. We are studying the bionanoscience of self-assembling supramolecular protein-nucleic nanostructures. We have undertaken these studies because they promise to enhance our understanding of assemblies formed during prebiotic evolution, provide tools for analysis of biological processes like DNA recombination, and may lead to the development of nanoscale biosensors designed for site-specific molecular targeting. During the course of that work, we noted that EMSA of these complex structures could be effectively implemented with microfluidics chips designed for the separation of DNA fragments. In this report we compare the two techniques and demonstrate that the microfluidics system is also capable of resolving complex mixtures produced by decorating DNA recombination intermediates with mixtures of DNA binding proteins. Moreover, the microfluidics chip system improves EMSA by permitting analysis with smaller samples, avoiding the use of radiolabeling, and reducing the time involved to a matter of minutes.

Computer Simulation↗