Evidence map›Paper›PMID 28052017›Full record

ArticleOncotarget2017

RHCG and TCAF1 promoter hypermethylation predicts biochemical recurrence in prostate cancer patients treated by radical prostatectomy.

Siri H Strand, Michal Switnicki, Mia Moller, Christa Haldrup, Tine M Storebjerg, Jakob Hedegaard, Iver Nordentoft, Soren Hoyer, Michael Borre, Jakob S Pedersen and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 30 citations in OpenAlex.

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  16. AberrantInternational journal of molecular sciences · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 3 countries.

Siri H StrandDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Michal SwitnickiDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Mia MollerDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Christa HaldrupDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Tine M StorebjergDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Jakob HedegaardDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Iver NordentoftDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Soren HoyerInstitute of Pathology, Aarhus University Hospital, Aarhus, Denmark.
Michael BorreDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.
Jakob S PedersenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Peter J WildInstitute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland.
Jong Y ParkDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA.
Torben F OrntoftDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Karina D SorensenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DKMoffitt Cancer Center · USUniversity Hospital of Zurich · CH

Funding

Genetic & epigenetic analysis of angiogenesis genes in recurrent prostate cancerR01CA128813 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI PARK, JONG Y. · 2008 to 2012
$2.0M
NCI NIH HHS R01 CA128813
6 · The paper itself

Abstract

purposeThe lack of biomarkers that can distinguish aggressive from indolent prostate cancer has caused substantial overtreatment of clinically insignificant disease. Here, by genome-wide DNA methylome profiling, we sought to identify new biomarkers to improve the accuracy of prostate cancer diagnosis and prognosis. EXPERIMENTAL

designEight novel candidate markers, COL4A6, CYBA, TCAF1 (FAM115A), HLF, LINC01341 (LOC149134), LRRC4, PROM1, and RHCG, were selected from Illumina Infinium HumanMethylation450 BeadChip analysis of 21 tumor (T) and 21 non-malignant (NM) prostate specimens. Diagnostic potential was further investigated by methylation-specific qPCR analysis of 80 NM vs. 228 T tissue samples. Prognostic potential was assessed by Kaplan-Meier, uni- and multivariate Cox regression analysis in 203 Danish radical prostatectomy (RP) patients (cohort 1), and validated in an independent cohort of 286 RP patients from Switzerland and the U.S. (cohort 2).

resultsHypermethylation of the 8 candidates was highly cancer-specific (area under the curves: 0.79-1.00). Furthermore, high methylation of the 2-gene panel RHCG-TCAF1 was predictive of biochemical recurrence (BCR) in cohort 1, independent of the established clinicopathological parameters Gleason score, pathological tumor stage, and pre-operative PSA (HR (95% confidence interval (CI)): 2.09 (1.26 - 3.46); P = 0.004), and this was successfully validated in cohort 2 (HR (95% CI): 1.81 (1.05 - 3.12); P = 0.032).

conclusionMethylation of the RHCG-TCAF1 panel adds significant independent prognostic value to established prognostic parameters for prostate cancer and thus may help to guide treatment decisions in the future. Further investigation in large independent cohorts is necessary before translation into clinical utility.

Indexed as

DNA MethylationAdultAgedBiomarkers, TumorCation Transport ProteinsDenmarkEpigenesis, GeneticHumansMaleMembrane GlycoproteinsMembrane ProteinsMiddle AgedNeoplasm GradingPrognosisPromoter Regions, GeneticProstatectomyBiomarkers, TumorCation Transport ProteinsMembrane GlycoproteinsMembrane ProteinsRHCG protein, humanTRPM8 channel-associated factor 1 protein, humanbiomarkerdiagnosisDNA methylationprognosisprostate cancer

Identifiers

PMID28052017
PMCPMC5351588
OpenAlexW2563597202

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.