Publications

Publications

Comparing efficiency of micro-RNA and mRNA biomarker liberation with microbubble-enhanced ultrasound exposure.

By:
Contributors: Robert Paproski, PhD
Ultrasound Med Biol. 2014 Sep;40(9):2207-16. doi: 10.1016/j.ultrasmedbio.2014.05.005. Epub 2014 Jul 9.

Abstract

Blood biomarkers are potentially powerful diagnostic tools that are limited clinically by low concentrations, the inability to determine biomarker origin and unknown patient baseline. Recently, ultrasound has been shown to liberate proteins and large mRNA biomarkers, overcoming many of these limitations. We have since demonstrated that adding lipid-stabilized microbubbles elevates mRNA concentration an order of magnitude compared with ultrasound without microbubbles, in vitro. Unfortunately the large size of some mRNA molecules may limit efficiency of release and hinder efficacy as an ultrasound-liberated biomarker. We hypothesize that smaller molecules will be released more efficiently with ultrasound than larger molecules. Although investigation of large libraries of biomarkers should be performed to fully validate this hypothesis, we focus on a small subset of mRNA and micro-RNAs. Specifically, we focus on miR-21 (22 base pairs [bp]), which is upregulated in certain forms of cancer, compared with previously investigated mammaglobin mRNA (502 bp). We also report release of micro-RNA miR-155 (22 bp) and housekeeping rRNA S18 (1869 bp). More than 10 million additional miR-21 copies per 100,000 cells are released with ultrasound-microbubble exposure. The low- molecular-weight miR-21 proved to be liberated 50 times more efficiently than high-molecular-weight mammaglobin mRNA, releasing orders of magnitude more miR-21 than mammaglobin mRNA under comparable conditions.

 PubMed

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PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks

We are excited to announce the recent online publication of PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks in the Journal of Clinical Oncology-Clinical Cancer Informatics!

PROSPeCT is a user-friendly online clinical information system that offers an easy and efficient way to obtain relevant and accurate information about patients from APCaRIs robust and expanding database. If you use PROSPeCT already then please cite this article in your work. If you do not use PROSPeCT yet then read this article for more details about easy-to-use and powerful query tool! Thank you to the Alberta Cancer Foundation, plus others, for supporting this project.

Citation
PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks
Maria Cutumisu, Catalina Vasquez, Maxwell Uhlich, Perrin H. Beatty, Homeira Hamayeli-Mehrabani, Rume Djebah, Albert Murtha, Russell Greiner, and John D. Lewis
JCO Clinical Cancer Informatics 2019 :3, 1-12 DOI: 10.1200/CCI.18.00144

2019.05 Cutumisu et al PROSPeCT JCO CCI

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