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pmid:31288850

SLCO4C1 promoter methylation is a potential biomarker for prognosis associated with biochemical recurrence-free survival after radical prostatectomy.

Xin Li · Wanfeng Zhang · Jing Song · Xianqin Zhang · Longke Ran · Yunfeng He

Clinical epigenetics · 2019 doi:10.1186/s13148-019-0693-2

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

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absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:31288850
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science-record
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2026-11-01T15:40:47Z
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2026-11-01T22:44:04Z
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paper object · 10 fields
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title
SLCO4C1 promoter methylation is a potential biomarker for prognosis associated with biochemical recurrence-free survival after radical prostatectomy.
doi
10.1186/s13148-019-0693-2
pmid
31288850
authors array · 6 items
[0]
Xin Li
[1]
Wanfeng Zhang
[2]
Jing Song
[3]
Xianqin Zhang
[4]
Longke Ran
[5]
Yunfeng He
journal
Clinical epigenetics
year
2019
abstract
BACKGROUND: Prostate cancer (PC) is a commonly diagnosed malignancy in males, especially in the western hemisphere. The extensive use of multiple biomarkers plays an important role in the diagnosis and prognosis of PC. However, the accuracy of biomarkers for PC prognosis needs to be urgently improved. This study aimed to identify a novel prognostic biomarker for PC. MATERIALS AND METHODS: Differentially methylated CpG sites were identified from the GSE76938 dataset ( https://www.ncbi.nlm.nih.gov/geo/ ) using R software version 3.1.4. Four significant CpG sites on the SLCO4C1 gene were found to be closely associated with prognosis in PC. Data downloaded from The Cancer Genome Atlas (TCGA) were used for validation. Co-expression and functional enrichment analyses were used to explore the roles of SLCO4C1 in molecular functions, biological processes and cellular components. Total RNA extraction and qRT-PCR were used to reveal the difference in SLCO4C1 expression between tumour and normal tissues. Bisulfite amplicon sequencing (BSAS) was used to identify methylation levels at the CpG sites. RESULTS: In the GSE76938 cohort, 10,206 CpG sites were identified to be differentially methylated in tumour versus normal prostate tissues. Among the CpG sites, four sites (cg06480736, cg19774478, cg19788741 and cg22149516) located in the promotor region (TSS200-1500) of SLCO4C1 were found to be significantly hypermethylated in tumour tissues. The results were validated in an independent dataset (TCGA PRAD cohort). In the cohort from TCGA, SLCO4C1 expression was negatively correlated with methylation levels at the four sites. The results of qRT-PCR validated that tumour tissues had a relatively lower expression of SLCO4C1. Bisulfite amplicon sequencing (BSAS) further confirmed a higher methylation level at the SLCO4C1 promoter in tumour tissues. SLCO4C1 (cg06480736, cg19774478, cg19788741 and cg22149516) was identified as a significant promising biomarker for biochemical recurrence-free survival in Kaplan-Meier analysis (P < 0.01) and univariate Cox proportional hazards analysis: cg06480736 (HR 15.914, P < 0.001), cg19774478 (HR 9.001, P < 0.001), cg19788741 (HR 10.759, P = 0.003) and cg22149516 (HR 17.144, P = 0.006). However, three sites, namely, cg06480736 (HR 1.809, P = 0.049), cg19774478 (HR 1.903, P = 0.041) and cg22149516 (HR 2.316, P = 0.008), were confirmed in multivariate analysis. CONCLUSIONS: SLCO4C1 promoter methylation, including that at three CpG sites, namely, cg06480736, cg19774478 and cg22149516, is a potential biomarker for risk stratification and might offer significantly relevant prognostic information for PC patients after radical prostatectomy.
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Kaplan-Meier analysis and univariate and multivariate Cox regression were used to assess whether the four methylation sites were associated with BCR.
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sections[18] "Statistical analysis" paragraph 2
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Kaplan-Meier analysis and univariate and multivariate Cox regression were used to assess whether the four methylation sites were associated with BCR.
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Correlation between SLCO4C1 DNA promoter methylation and clinicopathological parameters
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Table 1
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Correlation between SLCO4C1 DNA promoter methylation and clinicopathological parameters
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cg22149516(P value)
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cg06480736(P value)
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cg19788741(P value)
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[5]
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[1]
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[5]
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[1]
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[3]
[4]
[5]
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[1]
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[2]
[3]
[4]
[5]
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[1]
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[3]
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[4]
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[5]
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[1]
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Univariate Cox proportional hazards analysis of BCR-free survival in TCGA cohort including PC patients treated by radical prostatectomy
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Prognostic potential of SLCO4C1
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Univariate Cox proportional hazards analysis of BCR-free survival in TCGA cohort including PC patients treated by radical prostatectomy
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[0] array · 3 items
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P value
[2]
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[0]
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[1]
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[2]
0.944 [0.545, 1.637]
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< 0.001
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SLCO4C1 methylation
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[1]
< 0.001
[2]
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[1]
< 0.001
[2]
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[2]
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Multivariate Cox proportional hazards analysis of BCR-free survival in TCGA cohort including PC patients treated by radical prostatectomy
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Prognostic potential of SLCO4C1
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Table 3
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Multivariate Cox proportional hazards analysis of BCR-free survival in TCGA cohort including PC patients treated by radical prostatectomy
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[1]
P value
[2]
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[1]
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[2]
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[2]
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2.587 [1.267, 5.280]
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[0]
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1.018 [0.999, 1.036]
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1.809 [1.175, 13.769]
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pT3-4 vs. pT2
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[2]
4.022 [2.617, 20.172]
[8] array · 3 items
[0]
pN1 vs. pN0
[1]
0.993
[2]
1.002 [0.525, 1.941]
[9] array · 3 items
[0]
Gleason score
[1]
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[2]
2.528 [1.234, 5.179]
[10] array · 3 items
[0]
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[1]
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[2]
1.016 [0.999, 1.034]
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[0]
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[2]
1.903 [1.025, 3.534]
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[0]
pT3-4 vs. pT2
[1]
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[2]
3.532 [1.023, 12.199]
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[0]
pN1 vs. pN0
[1]
0.826
[2]
0.092 [0.485, 1.780]
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[1]
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[2]
2.744 [1.344, 5.602]
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[1]
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[2]
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[2]
3.662 [1.055, 12.710]
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[0]
pN1 vs. pN0
[1]
0.972
[2]
1.011 [0.530, 1.927]
[19] array · 3 items
[0]
Gleason score
[1]
0.018
[2]
2.385 [1.155, 4.925]
[20] array · 3 items
[0]
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[1]
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Kaplan-Meier analysis and univariate and multivariate Cox regression were used to assess whether the four methylation sites were associated with BCR.
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Kaplan-Meier analysis and univariate and multivariate Cox regression were used to assess whether the four methylation sites were associated with BCR.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31288850", "kind": "science-record", "revision": 8, "content_hash": "sha256:d6d158ae53fcf708ddda696f4897b8f684bff2644a8b1140cdf8b405170b49df", "created_at": "2026-11-01T15:40:47Z", "updated_at": "2026-11-01T22:44:04Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "SLCO4C1 promoter methylation is a potential biomarker for prognosis associated with biochemical recurrence-free survival after radical prostatectomy.", "doi": "10.1186/s13148-019-0693-2", "pmid": "31288850", "authors": ["Xin Li", "Wanfeng Zhang", "Jing Song", "Xianqin Zhang", "Longke Ran", "Yunfeng He"], "journal": "Clinical epigenetics", "year": 2019, "abstract": "BACKGROUND: Prostate cancer (PC) is a commonly diagnosed malignancy in males, especially in the western hemisphere. The extensive use of multiple biomarkers plays an important role in the diagnosis and prognosis of PC. However, the accuracy of biomarkers for PC prognosis needs to be urgently improved. This study aimed to identify a novel prognostic biomarker for PC.\nMATERIALS AND METHODS: Differentially methylated CpG sites were identified from the GSE76938 dataset ( https://www.ncbi.nlm.nih.gov/geo/ ) using R software version 3.1.4. Four significant CpG sites on the SLCO4C1 gene were found to be closely associated with prognosis in PC. Data downloaded from The Cancer Genome Atlas (TCGA) were used for validation. Co-expression and functional enrichment analyses were used to explore the roles of SLCO4C1 in molecular functions, biological processes and cellular components. Total RNA extraction and qRT-PCR were used to reveal the difference in SLCO4C1 expression between tumour and normal tissues. Bisulfite amplicon sequencing (BSAS) was used to identify methylation levels at the CpG sites.\nRESULTS: In the GSE76938 cohort, 10,206 CpG sites were identified to be differentially methylated in tumour versus normal prostate tissues. Among the CpG sites, four sites (cg06480736, cg19774478, cg19788741 and cg22149516) located in the promotor region (TSS200-1500) of SLCO4C1 were found to be significantly hypermethylated in tumour tissues. The results were validated in an independent dataset (TCGA PRAD cohort). In the cohort from TCGA, SLCO4C1 expression was negatively correlated with methylation levels at the four sites. The results of qRT-PCR validated that tumour tissues had a relatively lower expression of SLCO4C1. Bisulfite amplicon sequencing (BSAS) further confirmed a higher methylation level at the SLCO4C1 promoter in tumour tissues. SLCO4C1 (cg06480736, cg19774478, cg19788741 and cg22149516) was identified as a significant promising biomarker for biochemical recurrence-free survival in Kaplan-Meier analysis (P < 0.01) and univariate Cox proportional hazards analysis: cg06480736 (HR 15.914, P < 0.001), cg19774478 (HR 9.001, P < 0.001), cg19788741 (HR 10.759, P = 0.003) and cg22149516 (HR 17.144, P = 0.006). However, three sites, namely, cg06480736 (HR 1.809, P = 0.049), cg19774478 (HR 1.903, P = 0.041) and cg22149516 (HR 2.316, P = 0.008), were confirmed in multivariate analysis.\nCONCLUSIONS: SLCO4C1 promoter methylation, including that at three CpG sites, namely, cg06480736, cg19774478 and cg22149516, is a potential biomarker for risk stratification and might offer significantly relevant prognostic information for PC patients after radical prostatectomy.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier analysis and univariate and multivariate Cox regression were used to assess whether the four methylation sites were associated with BCR.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31288850", "locator": "sections[18] \"Statistical analysis\" paragraph 2", "quote": "Kaplan-Meier analysis and univariate and multivariate Cox regression were used to assess whether the four methylation sites were associated with BCR."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Not applicable.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31288850", "locator": "sections[23] \"Availability of data and materials\" paragraph 2", "quote": "Not applicable."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:31288850"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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