Evidence map›Paper›PMID 27698890›Full record

ArticleOncology letters2016

Quantitative detection of

Uta Duppel, Matthias Woenckhaus, Christian Schulz, Johannes Merk, Wolfgang Dietmaier

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Methylation ofAdvanced biomedical research · 2025
    Article
  3. Article
  4. Hypermethylation ofAdvanced biomedical research · 2023
    Article
  5. Advanced biomedical research · 2023
    Article
  6. Article
  7. Article
  8. Oligosaccharyltransferase: A Gatekeeper of Health and Tumor Progression.International journal of molecular sciences · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. Oncology letters · 2018
    Article
  13. Article
  14. TUSC3: functional duality of a cancer gene.Cellular and molecular life sciences : CMLS · 2018
    Review
  15. Article
  16. 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

5 authors at 3 institutions in 1 country.

Uta DuppelInstitute of Pathology, University of Regensburg, D-93053 Regensburg, Bavaria, Germany.
Matthias WoenckhausDepartment of Pathology, Caritas-Hospital, D-97980 Bad Mergentheim, Germany.
Christian SchulzDepartment of Internal Medicine II, University Hospital Regensburg, D-93053 Regensburg, Bavaria, Germany.
Johannes MerkDepartment of Thoracic Surgery, University Hospital Regensburg, D-93053 Regensburg, Bavaria, Germany.
Wolfgang DietmaierInstitute of Pathology, University of Regensburg, D-93053 Regensburg, Bavaria, Germany.
University Hospital Regensburg · DEUniversity of Regensburg · DECaritas-Krankenhaus Bad Mergentheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant promoter methylation of tumor relevant genes frequently occurs in early steps of carcinogenesis and during tumor progression. Epigenetic alterations could be used as potential biomarkers for early detection and for prediction of prognosis and therapy response in lung cancer. The present study quantitatively analyzed the methylation status of known and potential gatekeeper and tumor suppressor genes [O-6-methylguanine-DNA methyltransferase (

Indexed as

lung cancerprognosisquantitative methylation analysissurvivaltumor suppressor candidate 3

Identifiers

PMID27698890
PMCPMC5038372
OpenAlexW2499570830

What OpenQuestion holds

Textmetadata
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.