Literature DB >> 26905753

Large-scale evaluation of SLC18A2 in prostate cancer reveals diagnostic and prognostic biomarker potential at three molecular levels.

Christa Haldrup1, Anne-Sofie Lynnerup1, Tine Maj Storebjerg1, Søren Vang1, Peter Wild2, Tapio Visakorpi3, Christian Arsov4, Wolfgang A Schulz4, Johan Lindberg5, Henrik Grönberg5, Lars Egevad6, Michael Borre7, Torben Falck Ørntoft1, Søren Høyer8, Karina Dalsgaard Sørensen9.   

Abstract

Limitations of current diagnostic and prognostic tools for prostate cancer (PC) have led to over-diagnosis and over-treatment. Here, we investigate the biomarker potential of the SLC18A2 (VMAT2) gene for PC at three molecular levels. Thus, SLC18A2 promoter methylation was analyzed in 767 malignant and 78 benign radical prostatectomy (RP) samples using methylation-specific qPCR and Illumina 450K methylation microarray data. SLC18A2 transcript levels were assessed in 412 malignant and 45 benign RP samples using RNAseq data. SLC18A2 protein was evaluated by immunohistochemistry in 502 malignant and 305 benign RP samples. Cancer-specificity of molecular changes was tested using Mann-Whitney U tests and/or receiver operating characteristic (ROC) analyses. Log rank, uni- and multivariate Cox regression tests were used for survival analyses. We found that SLC18A2 promoter hypermethylation was highly cancer-specific (area under the curve (AUC): 0.923-0.976) and associated with biochemical recurrence (BCR) after RP in univariate analyses. SLC18A2 transcript levels were reduced in PC and had independent prognostic value for BCR after RP (multivariate HR 0.13, P < 0.05). Likewise, SLC18A2 protein was down-regulated in PC (AUC 0.898) and had independent prognostic value for BCR (multivariate HR 0.51, P < 0.05). Reduced SLC18A2 protein expression was also associated with poor overall survival in univariate analysis (HR 0.29, P < 0.05). Our results highlight SLC18A2 as a new promising methylation marker candidate for PC diagnosis. Furthermore, SLC18A2 expression (RNA and protein) showed promising prognostic potential beyond routine clinicopathological variables. Thus, novel SLC18A2-based molecular tests could have useful future applications for PC detection and identification of high-risk patients.
Copyright © 2016 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Diagnosis; Prognosis; Prostate cancer; SLC18A2

Mesh:

Substances:

Year:  2016        PMID: 26905753      PMCID: PMC5423165          DOI: 10.1016/j.molonc.2016.02.001

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   7.449


  44 in total

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Authors:  A M Jakobsen; P Andersson; G Saglik; E Andersson; L Kölby; J D Erickson; E Forssell-Aronsson; B Wängberg; H Ahlman; O Nilsson
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6.  Prostate cancer detected by methylated gene markers in histopathologically cancer-negative tissues from men with subsequent positive biopsies.

Authors:  Dean A Troyer; M Scott Lucia; Adriann P de Bruïne; Rosario Mendez-Meza; Marcella M Baldewijns; Nancy Dunscomb; Manon Van Engeland; Theresa McAskill; Katja Bierau; Joost Louwagie; Joseph W Bigley
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8.  Large-scale evaluation of SLC18A2 in prostate cancer reveals diagnostic and prognostic biomarker potential at three molecular levels.

Authors:  Christa Haldrup; Anne-Sofie Lynnerup; Tine Maj Storebjerg; Søren Vang; Peter Wild; Tapio Visakorpi; Christian Arsov; Wolfgang A Schulz; Johan Lindberg; Henrik Grönberg; Lars Egevad; Michael Borre; Torben Falck Ørntoft; Søren Høyer; Karina Dalsgaard Sørensen
Journal:  Mol Oncol       Date:  2016-02-09       Impact factor: 7.449

9.  Tissue of origin determines cancer-associated CpG island promoter hypermethylation patterns.

Authors:  Duncan Sproul; Robert R Kitchen; Colm E Nestor; J Michael Dixon; Andrew H Sims; David J Harrison; Bernard H Ramsahoye; Richard R Meehan
Journal:  Genome Biol       Date:  2012-10-03       Impact factor: 13.583

10.  Using high-density DNA methylation arrays to profile copy number alterations.

Authors:  Andrew Feber; Paul Guilhamon; Matthias Lechner; Tim Fenton; Gareth A Wilson; Christina Thirlwell; Tiffany J Morris; Adrienne M Flanagan; Andrew E Teschendorff; John D Kelly; Stephan Beck
Journal:  Genome Biol       Date:  2014-02-03       Impact factor: 13.583

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Journal:  Lab Invest       Date:  2018-01-16       Impact factor: 5.662

2.  Large-scale evaluation of SLC18A2 in prostate cancer reveals diagnostic and prognostic biomarker potential at three molecular levels.

Authors:  Christa Haldrup; Anne-Sofie Lynnerup; Tine Maj Storebjerg; Søren Vang; Peter Wild; Tapio Visakorpi; Christian Arsov; Wolfgang A Schulz; Johan Lindberg; Henrik Grönberg; Lars Egevad; Michael Borre; Torben Falck Ørntoft; Søren Høyer; Karina Dalsgaard Sørensen
Journal:  Mol Oncol       Date:  2016-02-09       Impact factor: 7.449

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6.  Heterogeneous patterns of DNA methylation-based field effects in histologically normal prostate tissue from cancer patients.

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7.  Biomarker potential of ST6GALNAC3 and ZNF660 promoter hypermethylation in prostate cancer tissue and liquid biopsies.

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Journal:  Mol Oncol       Date:  2018-03-13       Impact factor: 6.603

8.  Comprehensive Evaluation of TFF3 Promoter Hypomethylation and Molecular Biomarker Potential for Prostate Cancer Diagnosis and Prognosis.

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Journal:  Int J Mol Sci       Date:  2017-09-20       Impact factor: 5.923

9.  FRMD6 has tumor suppressor functions in prostate cancer.

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Journal:  Oncogene       Date:  2020-11-28       Impact factor: 9.867

10.  Epigenetic Analysis of Circulating Tumor DNA in Localized and Metastatic Prostate Cancer: Evaluation of Clinical Biomarker Potential.

Authors:  Marianne Trier Bjerre; Maibritt Nørgaard; Ole Halfdan Larsen; Sarah Østrup Jensen; Siri H Strand; Peter Østergren; Mikkel Fode; Jacob Fredsøe; Benedicte Parm Ulhøi; Martin Mørck Mortensen; Jørgen Bjerggaard Jensen; Michael Borre; Karina D Sørensen
Journal:  Cells       Date:  2020-05-31       Impact factor: 6.600

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