Relative Gene Expression Analysis from Urine Samples of Patients with Prostate Disease

  • Jasmin Ramić Institute for genetic engineering and biotechnology
  • Benjamin Kulovac Urology Clinic, Clinical Centre of University of Sarajevo, Sarajevo, Bosnia and Herzegovina
  • Naida Lojo-Kadrić University of Sarajevo, Institute for Genetic Engineering and Biotechnology, Bosnia and Herzegovina
  • Maida Hadžić University of Sarajevo, Institute for Genetic Engineering and Biotechnology, Bosnia and Herzegovina
  • Naris Pojskić University of Sarajevo, Institute for Genetic Engineering and Biotechnology, Bosnia and Herzegovina
  • Đenana Eminagić Urology Clinic, Clinical Centre of University of Sarajevo, Sarajevo, Bosnia and Herzegovina
  • Lejla Pojskić University of Sarajevo, Institute for Genetic Engineering and Biotechnology, Bosnia and Herzegovina

Abstract

Conventional screening and diagnostic procedures in prostate complaints rely on PSA (Prostate Specific Antigen) concentration which is not specific for prostate cancer and frequently leads to unnecessary invasive procedures in order to exclude malignant disease. It is estimated that approximately 50% of persons who underwent tissue biopsy did so based on false positive PSA value. Therefore a proper and timely differential diagnosis of malignant disease using non-invasive techniques remains one of the biggest challenges in medicine. Urine is the invaluable source of biological information contained in small molecules i.e. RNA that is easily accessible and detectable using molecular genetics techniques. We describe economical and fast method for relative expression analysis applicable to any target gene using urine as a sample. Efficient non-invasive method for identification of malignant or high risk cases prove useful in reduction of patient distress during the diagnostic procedure and significantly reduce healthcare costs.

Published
2018-06-21
How to Cite
RAMIĆ, Jasmin et al. Relative Gene Expression Analysis from Urine Samples of Patients with Prostate Disease. Genetics & Applications, [S.l.], v. 2, n. 1, p. 19-24, june 2018. ISSN 2566-431X. Available at: <http://www.genapp.ba/index.php/genapp/article/view/50>. Date accessed: 21 oct. 2018. doi: https://doi.org/10.31383/ga.vol2iss1pp19-24.
Section
Research Articles