Evidence map›Paper›PMID 30866497›Full record

ArticleInternational journal of molecular sciences2019

Aberrant

Marianne T Bjerre, Siri H Strand, Maibritt Nørgaard, Helle Kristensen, Anne Ki Rasmussen, Martin Mørck Mortensen, Jacob Fredsøe, Peter Mouritzen, Benedicte Ulhøi, Torben Ørntoft and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. The moonlighting functions of glycolytic enzymes in tumorigenesis.Cellular oncology (Dordrecht, Netherlands) · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Insights from DOCK2 in cell function and pathophysiology.Frontiers in molecular biosciences · 2022
    Review
  17. Article
  18. Article
  19. Review
  20. Article
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

12 authors at 2 institutions in 1 country.

Marianne T BjerreDepartment of Molecular Medicine (MOMA), Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. mtbjerre@clin.au.dk.
Siri H StrandDepartment of Molecular Medicine (MOMA), Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. siri.strand@clin.au.dk.
Maibritt NørgaardDepartment of Molecular Medicine (MOMA), Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. mno@clin.au.dk.
Helle KristensenExiqon ⁻ a Qiagen company, Skelstedet 16, 2950 Vedbæk, Denmark. vejsehelle@hotmail.com.
Anne Ki RasmussenExiqon ⁻ a Qiagen company, Skelstedet 16, 2950 Vedbæk, Denmark. anne.karin.rasmussen@gmail.com.
Martin Mørck MortensenDepartment of Urology, Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. Martin.Moerck.Mortensen@vest.rm.dk.
Jacob FredsøeDepartment of Molecular Medicine (MOMA), Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. jcf@clin.au.dk.ORCID 0000-0002-7319-2467
Peter MouritzenExiqon ⁻ a Qiagen company, Skelstedet 16, 2950 Vedbæk, Denmark. mouritzenpeter0@gmail.com.
Benedicte UlhøiDepartment of Pathology, Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. beneulho@rm.dk.
Torben ØrntoftDepartment of Molecular Medicine (MOMA), Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. orntoft@clin.au.dk.
Michael BorreDepartment of Urology, Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. borre@clin.au.dk.
Karina D SørensenDepartment of Molecular Medicine (MOMA), Aarhus University Hospital (AUH), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark. kdso@clin.au.dk.ORCID 0000-0002-4902-5490
Aarhus University Hospital · DKQiagen (Denmark) · DK

Funding

Dansk Kræftforsknings Fond DKF-2016-66 - (25)Højteknologifonden 2012Kræftens Bekæmpelse R99-A6338-14-S25Velux Fonden 11307
6 · The paper itself

Abstract

Prostate cancer (PCa) is a clinically heterogeneous disease and currently, accurate diagnostic and prognostic molecular biomarkers are lacking. This study aimed to identify novel DNA hypermethylation markers for PCa with future potential for blood-based testing. Accordingly, to search for genes specifically hypermethylated in PCa tissue samples and not in blood cells or other cancer tissue types, we performed a systematic analysis of genome-wide DNA methylation data (Infinium 450K array) available in the Marmal-aid database for 4072 malignant/normal tissue samples of various types. We identified eight top candidate markers (cg12799885,

Indexed as

DNA MethylationAgedAged, 80 and overApoptosis Regulatory ProteinsBasic Helix-Loop-Helix ProteinsBiomarkers, TumorCarrier ProteinsEpigenesis, GeneticGTPase-Activating ProteinsGuanine Nucleotide Exchange FactorsHumansKaplan-Meier EstimateMaleMembrane ProteinsMiddle AgedPhosphofructokinase-1, Type CApoptosis Regulatory ProteinsBasic Helix-Loop-Helix ProteinsBiomarkers, TumorCarrier ProteinsDOCK2 protein, humanGTPase-Activating ProteinsGuanine Nucleotide Exchange FactorsHIF3A protein, humanMembrane ProteinsPFKP protein, humanPhosphofructokinase-1, Type CRepressor Proteinstamalin protein, humanbiomarkerdiagnosisDNA methylationepigeneticsprognosisprostate cancer

Identifiers

PMID30866497
PMCPMC6429171
OpenAlexW2919653457

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.