Literature DB >> 31200836

GBX2 Methylation Is a Novel Prognostic Biomarker and Improves Prediction of Biochemical Recurrence Among Patients with Prostate Cancer Negative for Intraductal Carcinoma and Cribriform Architecture.

Renu Jeyapala1, Andrea J Savio2, Ekaterina Olkhov-Mitsel2, Shivani Kamdar2, Fang Zhao2, Carmelle Cuizon2, Richard S C Liu2, Alex Zlotta3, Neil Fleshner3, Theodorus van der Kwast4, Bharati Bapat5.   

Abstract

BACKGROUND: Tumor intraductal carcinoma/cribriform architecture (IDC/C) is associated with an unfavorable prognosis and biochemical recurrence (BCR) in prostate cancer (PCa). Up to 70% of PCa patients are IDC/C-negative, but it is estimated that 20% of these cases still experience BCR. Thus, biomarkers for better detection of aggressive disease in IDC/C-negative patients are required.
OBJECTIVE: To investigate tumor-specific methylation of the transcription factor GBX2 as a novel prognosticator and predictor of BCR in PCa patients stratified by histopathologic features including IDC/C. DESIGN, SETTING, AND PARTICIPANTS: Using genome-wide methylome profiling, we identified higher GBX2 methylation in grade group (GG) 4 tumors compared to GG1 (discovery cohort). The prognostic nature of GBX2 methylation was validated in silico using The Cancer Genome Atlas data (n=478) and a quantitative methylation assay for radical prostatectomy samples (n=254). Regulation of GBX2 methylation was investigated in prostate cells using methyl-CpG-binding domain sequencing and methylation analysis in functional knockouts of TET2, a key epigenetic player in prostate carcinogenesis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The association of GBX2 methylation with Gleason score (GS), pathologic stage (pT), IDC/C, and BCR was analyzed using Kruskal-Wallis and Mann-Whitney tests. Univariate and multivariate Cox regression analyses were used to predict BCR.
RESULTS: GBX2 methylation was associated with GS (p<0.05), pT (p<0.01), and BCR (p<0.05). GBX2 methylation (p=0.004), GS (p<0.001), pT (p=0.012), and prostate-specific antigen (p=0.005) were independent predictors of BCR. Among IDC/C-negative patients, GBX2 methylation improved prediction of BCR (p=0.002). Loss of TET2 in prostate cells resulted in greater GBX2 methylation.
CONCLUSIONS: We identified GBX2 methylation as a novel prognostic factor in PCa and an independent predictor of BCR. We demonstrated the additive value of GBX2 methylation in predicting BCR among IDC/C-negative patients and elucidated a novel TET2-mediated upstream epigenetic regulatory mechanism of GBX2. PATIENT
SUMMARY: We identified GBX2 methylation as a promising prognostic biomarker that could improve the identification of prostate cancer patients at higher risk of biochemical recurrence.
Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; Methylation Biomarker; Prostate cancer; TET2 protein; Tumor intraductal carcinoma

Mesh:

Substances:

Year:  2018        PMID: 31200836     DOI: 10.1016/j.euo.2018.08.003

Source DB:  PubMed          Journal:  Eur Urol Oncol        ISSN: 2588-9311


  4 in total

1.  A DNA methylation-associated nomogram predicts the overall survival of osteosarcoma.

Authors:  Jun Shi; Daijuan Huang; Gao Zhang; Feng Zhao; Lin Yang
Journal:  Medicine (Baltimore)       Date:  2020-12-18       Impact factor: 1.817

2.  Somatic HOXB13 Expression Correlates with Metastatic Progression in Men with Localized Prostate Cancer Following Radical Prostatectomy.

Authors:  Adam B Weiner; Farzana A Faisal; Elai Davicioni; R Jeffrey Karnes; Donald J Vander Griend; Tamara L Lotan; Edward M Schaeffer
Journal:  Eur Urol Oncol       Date:  2020-06-12

Review 3.  Data-driven translational prostate cancer research: from biomarker discovery to clinical decision.

Authors:  Yuxin Lin; Xiaojun Zhao; Zhijun Miao; Zhixin Ling; Xuedong Wei; Jinxian Pu; Jianquan Hou; Bairong Shen
Journal:  J Transl Med       Date:  2020-03-07       Impact factor: 5.531

4.  Genome-wide methylation sequencing identifies progression-related epigenetic drivers in myelodysplastic syndromes.

Authors:  Jing-Dong Zhou; Ting-Juan Zhang; Zi-Jun Xu; Zhao-Qun Deng; Yu Gu; Ji-Chun Ma; Xiang-Mei Wen; Jia-Yan Leng; Jiang Lin; Su-Ning Chen; Jun Qian
Journal:  Cell Death Dis       Date:  2020-11-20       Impact factor: 8.469

  4 in total

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