Literature DB >> 34604412

Evaluation of NUF2 and GMNN Expression in Prostate Cancer: Potential Biomarkers for Prostate Cancer Screening.

Shaghayegh Pezeshki1, Payam Hashemi2, Alireza Salimi3, Sheida Ebrahimi4, Mandana Javanzad5, Amir Monfaredan6.   

Abstract

BACKGROUND: Prostate cancer (PC) is one of the most abundant cancers among men, and In Iran, has been responsible for 6% of all deaths from cancer in men. NUF2 and GMNN genes are considered as loci of susceptibility to tumorigenesis in humans. Alterations in expression of these genes have been reported in various malignancies. The aim of our study was to test whether different NUF2 and GMNN expression levels are associated with PC incidence and hence, might be considered as new molecular tools for PC screening.
METHODS: Biopsy samples from 40 PC patients and 41 healthy Iranian men were used to determine the relative gene expression. After RNA extraction and cDNA synthesis, samples were analyzed using TaqMan Quantitative Real time PCR. Patients' background information, included smoking habits and family histories of PC, were recorded. Stages and grades of their PC were classified by the TNM tumor, node, metastasis (TMN) staging system based on standard guidelines.
RESULTS: NUF2 expression did not significantly differ between the groups, while GMNN expression was significantly greater in the PC specimens than in the controls.
CONCLUSION: Regarding the significant role of GMNN in various tumor phenotypes, and its importance in PC progression, the alteration in GMNN expression in PC samples vs. controls indicate that the genetic profiling of this cancer might be considered to personalize therapy for each patient in the future.

Entities:  

Keywords:  Family history; Geminin (GMNN); NUF2; Prostate cancer; Tumor staging

Year:  2021        PMID: 34604412      PMCID: PMC8480293          DOI: 10.52547/rbmb.10.2.224

Source DB:  PubMed          Journal:  Rep Biochem Mol Biol        ISSN: 2322-3480


  39 in total

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Journal:  Breast Cancer       Date:  2014-08-01       Impact factor: 4.239

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Authors:  Jennifer G DeLuca; Ben Moree; Jennifer M Hickey; John V Kilmartin; E D Salmon
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