» Articles » PMID: 24837368

Prostate Cancer Epigenetic Biomarkers: Next-generation Technologies

Overview
Journal Oncogene
Date 2014 May 20
PMID 24837368
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

Cancer is caused by a combination of genetic alterations and gross changes to the epigenetic landscape that together result in aberrant cancer gene regulation. Therefore, we need to fully sequence both the cancer genome and the matching cancer epigenomes before we can fully integrate the suite of molecular mechanisms involved in initiation and progression of cancer. A further understanding of epigenetic aberrations has a great potential in the next era of molecular genomic pathology in cancer detection and treatment in all types of cancer, including prostate cancer. In this review, we discuss the most common epigenetic aberrations identified in prostate cancer with the biomarker potential. We also describe the innovative and current epigenomic technologies used for the identification of epigenetic-associated changes in prostate cancer and future translational applications in molecular pathology for cancer detection and prognosis.

Citing Articles

A Model to Predict Prognosis of Renal Cell Clear Cell Carcinoma Based on 3 Angiogenesis-related Long Non-coding RNAs.

Chen G, Zhang T, Li F, Cui C, Huang Z, Gou X J Cancer. 2024; 15(11):3481-3494.

PMID: 38817877 PMC: 11134422. DOI: 10.7150/jca.94685.


Lineage Plasticity and Stemness Phenotypes in Prostate Cancer: Harnessing the Power of Integrated "Omics" Approaches to Explore Measurable Metrics.

Logotheti S, Papadaki E, Zolota V, Logothetis C, Vrahatis A, Soundararajan R Cancers (Basel). 2023; 15(17).

PMID: 37686633 PMC: 10486655. DOI: 10.3390/cancers15174357.


Prostate cancer in omics era.

Gholami N, Haghparast A, Alipourfard I, Nazari M Cancer Cell Int. 2022; 22(1):274.

PMID: 36064406 PMC: 9442907. DOI: 10.1186/s12935-022-02691-y.


The Role of Epigenetics in the Progression of Clear Cell Renal Cell Carcinoma and the Basis for Future Epigenetic Treatments.

Angulo J, Manini C, Lopez J, Pueyo A, Colas B, Ropero S Cancers (Basel). 2021; 13(9).

PMID: 33922974 PMC: 8123355. DOI: 10.3390/cancers13092071.


Integrative Analysis of Methylation and Copy Number Variations of Prostate Adenocarcinoma Based on Weighted Gene Co-expression Network Analysis.

Hou Y, Hu J, Zhou L, Liu L, Chen K, Yang X Front Oncol. 2021; 11:647253.

PMID: 33869043 PMC: 8047072. DOI: 10.3389/fonc.2021.647253.


References
1.
Robinson M, Stirzaker C, Statham A, Coolen M, Song J, Nair S . Evaluation of affinity-based genome-wide DNA methylation data: effects of CpG density, amplification bias, and copy number variation. Genome Res. 2010; 20(12):1719-29. PMC: 2989998. DOI: 10.1101/gr.110601.110. View

2.
Ruijter E, Van De Kaa C, Schalken J, Debruyne F, Ruiter D . Histological grade heterogeneity in multifocal prostate cancer. Biological and clinical implications. J Pathol. 1996; 180(3):295-9. DOI: 10.1002/(SICI)1096-9896(199611)180:3<295::AID-PATH663>3.0.CO;2-W. View

3.
Wu H, Zhang Y . Mechanisms and functions of Tet protein-mediated 5-methylcytosine oxidation. Genes Dev. 2011; 25(23):2436-52. PMC: 3243055. DOI: 10.1101/gad.179184.111. View

4.
Bae J . Perspectives of international human epigenome consortium. Genomics Inform. 2013; 11(1):7-14. PMC: 3630389. DOI: 10.5808/GI.2013.11.1.7. View

5.
Prensner J, Rubin M, Wei J, Chinnaiyan A . Beyond PSA: the next generation of prostate cancer biomarkers. Sci Transl Med. 2012; 4(127):127rv3. PMC: 3799996. DOI: 10.1126/scitranslmed.3003180. View