Evidence map›Paper›PMID 27890240›Full record

ReviewDermatologic clinics2017

Melanocytic Nevi and the Genetic and Epigenetic Control of Oncogene-Induced Senescence.

Jennifer M Huang, Ijeuru Chikeka, Thomas J Hornyak

Open access · greenAbstract readReview
In one paragraph

Review in Dermatologic clinics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Focus on the Contribution of Oxidative Stress in Skin Aging.Antioxidants (Basel, Switzerland) · 2022
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

3 authors at 1 institution in 1 country.

Jennifer M HuangDepartment of Biochemistry and Molecular Biology, University of Maryland School of Medicine, 108 N. Greene St., Baltimore, MD 21201, USA.
Ijeuru ChikekaDepartment of Biochemistry and Molecular Biology, University of Maryland School of Medicine, 108 N. Greene St., Baltimore, MD 21201, USA.
Thomas J HornyakDepartment of Biochemistry and Molecular Biology, University of Maryland School of Medicine, 108 N. Greene St., Baltimore, MD 21201, USA; Research & Development Service, VA Maryland Health Care System, Baltimore, MD, 21201, USA; Department of Dermatology, University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: THornyak@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

Identification and Characterization of Melanocyte Stem CellsR01AR064810 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI HORNYAK, THOMAS J · 2014 to 2018
$1.7M
Melanocyte Stem Cells in Regenerative MedicineI01BX002582 · VA · BALTIMORE VA MEDICAL CENTER · PI HORNYAK, THOMAS J · 2015 to 2023
–
BLRD VA I01 BX002582NIAMS NIH HHS R01 AR064810
6 · The paper itself

Abstract

Melanocytic nevi represent benign clonal proliferations of the melanocytes in the skin that usually remain stable in size and behavior or disappear during life. Infrequently, melanocytic nevi undergo malignant transformation to melanoma. Understanding molecular and cellular mechanisms underlying oncogene-induced senescence should help identify pathways underlying melanoma development, leading to the development of new strategies for melanoma prevention and early detection.

Indexed as

Cell Transformation, NeoplasticCellular SenescenceEpigenesis, GeneticHumansMelanomaNevus, PigmentedOncogenesSkin NeoplasmsMelanocyteMelanomaNeviOncogeneSenescence

Identifiers

PMID27890240
PMCPMC5391772
OpenAlexW2553548512

What OpenQuestion holds

Textmetadata
LicenceTDM
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.