Evidence map›Paper›PMID 25596731›Full record

ArticleOncotarget2015

c-myc copy number gain is a powerful prognosticator of disease outcome in cervical dysplasia.

Kirsten Kübler, Sally Heinenberg, Christian Rudlowski, Mignon-Denise Keyver-Paik, Alina Abramian, Sabine Merkelbach-Bruse, Reinhard Büttner, Walther Kuhn, Hans-Ulrich Schildhaus

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Do or Die: HPV E5, E6 and E7 in Cell Death Evasion.Pathogens (Basel, Switzerland) · 2022
    Review
  8. Article
  9. Effect ofTranslational cancer research · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Oncotarget · 2017
    Article
  15. Small molecule selectively suppresses MYC transcription in cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. 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

9 authors at 3 institutions in 1 country.

Kirsten KüblerDepartment of Obstetrics and Gynecology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Sally HeinenbergDepartment of Obstetrics and Gynecology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Christian RudlowskiDepartment of Obstetrics and Gynecology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Mignon-Denise Keyver-PaikDepartment of Obstetrics and Gynecology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Alina AbramianDepartment of Obstetrics and Gynecology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Sabine Merkelbach-BruseInstitute of Pathology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Reinhard BüttnerInstitute of Pathology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Walther KuhnDepartment of Obstetrics and Gynecology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.
Hans-Ulrich SchildhausInstitute of Pathology, Center for Integrated Oncology, University of Bonn, 53127 Bonn, Germany.Institute of Pathology, Center for Integrated Oncology, University of Cologne, 50937 Cologne, Germany.Institute of Pathology, University of Göttingen, 37075 Göttingen, Germany.
University of Bonn · DEUniversity of Cologne · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical carcinoma develops from preneoplasia by a multistep process. Although most low-grade dysplastic lesions will regress without intervention and even high-grade changes exhibit a substantial rate of regression, a small percentage of dysplasia will progress over time. Thus, indicators are needed to estimate the biological risk and to help avoid overtreatment in women who desire to preserve fertility. In addition to the classical biomarkers, PCR-ELISA-determined HPV genotype and immunohistochemically assessed p16INK4a and Ki-67 expression, cells with integrated HPV and copy number gain of TERC and c-myc were quantified in a panel of 104 benign, intraepithelial neoplastic (CIN I, II, III) and cancerous lesions using fluorescence in situ hybridization. Optimal cut-off values were calculated; Kaplan-Meier curves and a Cox proportional hazard regression model were used to evaluate prognostic signatures. The assay reliably identified HPV integration, TERC and c-myc copy number gain as determined by comparisons with established biomarkers. All biomarker levels increased with the progression of the disease. However, only c-myc copy number gain independently prognosticated a low probability of dysplastic regression. Our results suggest that c-myc plays a key role in the process of dysplastic transformation and might thus be exploited for treatment and follow-up decision-making of cervical dysplasia.

Indexed as

Genes, mycCarcinoma, Squamous CellDisease ProgressionFemaleGene DosageGenotypeHumansPrognosisTreatment OutcomeUterine Cervical DysplasiaUterine Cervical Neoplasms

Identifiers

PMID25596731
PMCPMC4359258
OpenAlexW1541805172

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.