Trial reportMolecular oncology2018
Biomarker potential of ST6GALNAC3 and ZNF660 promoter hypermethylation in prostate cancer tissue and liquid biopsies.
Trial report in Molecular oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
40 citing papers in PubMed, 65 citations in OpenAlex.
- The Years 2015-2025 as a Prospective Decade for the Identification of Specific Methylation Biomarkers of Prostate Cancer.Biomolecules · 2025Review
- Prostate cancer epigenetics - from pathophysiology to clinical application.Nature reviews. Urology · 2025Review
- DNA Methylation in Prostate Cancer: Clinical Implications and Potential Applications.Cancer medicine · 2025Review
- An 11-gene glycosyltransferases-related model for the prognosis of patients with bladder urothelial carcinoma: development and validation based on TCGA and GEO datasets.Translational andrology and urology · 2024Article
- Benchmarking UMI-aware and standard variant callers for low frequency ctDNA variant detection.BMC genomics · 2024Article
- Circulating Tumor DNA in Genitourinary Cancers: Detection, Prognostics, and Therapeutic Implications.Cancers · 2024Review
- Current advances of liquid biopsies in prostate cancer: Molecular biomarkers.Molecular therapy oncolytics · 2023Review
- Minimal residual disease in solid tumors: an overview.Frontiers of medicine · 2023Review
- Identification and validation of a novel prognostic model for gastric cancer based on m7G-related genes.Translational cancer research · 2023Article
- Cell-free DNA in the management of prostate cancer: Current status and future prospective.Asian journal of urology · 2023Review
- Construction of a lipid metabolism-related and immune-associated prognostic score for gastric cancer.BMC medical genomics · 2023Article
- Deciphering the Prognostic and Therapeutic Significance of Cell Cycle Regulator CENPF: A Potential Biomarker of Prognosis and Immune Microenvironment for Patients with Liposarcoma.International journal of molecular sciences · 2023Article
- Liquid biopsy for monitoring of tumor dormancy and early detection of disease recurrence in solid tumors.Cancer metastasis reviews · 2023Review
- Circulating tumor biomarkers in early-stage breast cancer: characteristics, detection, and clinical developments.Frontiers in oncology · 2023Review
- Sialyltransferases and Neuraminidases: Potential Targets for Cancer Treatment.Diseases (Basel, Switzerland) · 2022Review
- Whole-genome bisulfite sequencing analysis of circulating tumour DNA for the detection and molecular classification of cancer.Clinical and translational medicine · 2022Article
- Review
- Comprehensive Analysis of DNA 5-Methylcytosine and N6-Adenine Methylation by Nanopore Sequencing in Hepatocellular Carcinoma.Frontiers in cell and developmental biology · 2022Article
- Cell-free DNA as a Promising Diagnostic Biomarker in Prostate Cancer: A Systematic Review and Meta-Analysis.Journal of oncology · 2022Review
- Current and Emerging Applications of Droplet Digital PCR in Oncology: An Updated Review.Molecular diagnosis & therapy · 2022Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current diagnostic and prognostic tools for prostate cancer (PC) are suboptimal, leading to overdiagnosis and overtreatment. Aberrant promoter hypermethylation of specific genes has been suggested as novel candidate biomarkers for PC that may improve diagnosis and prognosis. We here analyzed ST6GALNAC3 and ZNF660 promoter methylation in prostate tissues, and ST6GALNAC3, ZNF660, CCDC181, and HAPLN3 promoter methylation in liquid biopsies. First, using four independent patient sample sets, including a total of 110 nonmalignant (NM) and 705 PC tissue samples, analyzed by methylation-specific qPCR or methylation array, we found that hypermethylation of ST6GALNAC3 and ZNF660 was highly cancer-specific with areas under the curve (AUC) of receiver operating characteristic (ROC) curve analysis of 0.917-0.995 and 0.846-0.903, respectively. Furthermore, ZNF660 hypermethylation was significantly associated with biochemical recurrence in two radical prostatectomy (RP) cohorts of 158 and 392 patients and remained significant also in the subsets of patients with Gleason score ≤7 (univariate Cox regression and log-rank tests, P < 0.05), suggesting that ZNF660 methylation analysis can potentially help to stratify low-/intermediate-grade PCs into indolent vs. more aggressive subtypes. Notably, ZNF660 hypermethylation was also significantly associated with poor overall and PC-specific survival in the RP cohort (n = 158) with long clinical follow-up available. Moreover, as proof of principle, we successfully detected highly PC-specific hypermethylated circulating tumor DNA (ctDNA) for ST6GALNAC3, ZNF660, HAPLN3, and CCDC181 in liquid biopsies (serum) from 27 patients with PC vs. 10 patients with BPH, using droplet digital methylation-specific PCR analysis. Finally, we generated a three-gene (ST6GALNAC3/CCDC181/HAPLN3) ctDNA hypermethylation model, which detected PC with 100% specificity and 67% sensitivity. In conclusion, we here for the first time demonstrate diagnostic biomarker potential of ST6GALNAC3 and ZNF660 methylation, as well as prognostic biomarker potential of ZNF660. Furthermore, we show that hypermethylation of four genes can be detected in ctDNA in liquid biopsies (serum) from patients with PC.
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