Evidence map›Paper›PMID 22540896›Full record

ArticlePigment cell & melanoma research2012

A prognostic signature of defective p53-dependent G1 checkpoint function in melanoma cell lines.

Craig Carson, Bernard Omolo, Haitao Chu, Yingchun Zhou, Maria J Sambade, Eldon C Peters, Patrick Tompkins, Dennis A Simpson, Nancy E Thomas, Cheng Fan and 5 more

Open access · greenAbstract read
In one paragraph

Article in Pigment cell & melanoma research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
    Article
  10. Article
  11. Article
  12. Mechanisms of chromosomal instability in melanoma.Environmental and molecular mutagenesis · 2014
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. MERTK receptor tyrosine kinase is a therapeutic target in melanoma.The Journal of clinical investigation · 2013
    Article
  18. 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

15 authors at 5 institutions in 2 countries.

Craig CarsonDepartment of Dermatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Bernard Omolo
Haitao Chu
Yingchun Zhou
Maria J Sambade
Eldon C Peters
Patrick Tompkins
Dennis A Simpson
Nancy E Thomas
Cheng Fan
Alain Sarasin
Philippe Dessen
Janiel M Shields
Joseph G Ibrahim
William K Kaufmann
University of North Carolina at Chapel Hill · USInstitut Gustave Roussy · FRCenter for Environmental Health · USUniversity of Minnesota · USUniversity of South Carolina Upstate · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
TOXICOLOGYT32ES007126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ILONA JASPERS, Bernard E. Weissman · 1985 to 2026
$13.0M
TISSUE PROCUREMENT &ANALYSISP50CA106991 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TEPPER, JOEL E · 2004 to 2009
$12.1M
The System of Response to DNA Damage Suppresses Environmental MelanomagenesisP01ES014635 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SANCAR, AZIZ · 2007 to 2011
$6.7M
Biostatistics for Research in Genomics and CancerT32CA106209 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOSEPH G IBRAHIM, Naim Ur Rashid · 2004 to 2026
$4.8M
Bayesian Approaches to Model Selection for Survival DataR01GM070335 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2003 to 2019
$4.0M
NCI NIH HHS CA106991NCI NIH HHS CA16086NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA106991NCI NIH HHS T32 CA106209NIEHS NIH HHS ES014635NIEHS NIH HHS ES07126NIEHS NIH HHS ES10126NIEHS NIH HHS P01 ES014635NIEHS NIH HHS P30 ES010126NIEHS NIH HHS T32 ES007126NIGMS NIH HHS R01 GM070335
6 · The paper itself

Abstract

Melanoma cell lines and normal human melanocytes (NHM) were assayed for p53-dependent G1 checkpoint response to ionizing radiation (IR)-induced DNA damage. Sixty-six percent of melanoma cell lines displayed a defective G1 checkpoint. Checkpoint function was correlated with sensitivity to IR with checkpoint-defective lines being radio-resistant. Microarray analysis identified 316 probes whose expression was correlated with G1 checkpoint function in melanoma lines (P≤0.007) including p53 transactivation targets CDKN1A, DDB2, and RRM2B. The 316 probe list predicted G1 checkpoint function of the melanoma lines with 86% accuracy using a binary analysis and 91% accuracy using a continuous analysis. When applied to microarray data from primary melanomas, the 316 probe list was prognostic of 4-yr distant metastasis-free survival. Thus, p53 function, radio-sensitivity, and metastatic spread may be estimated in melanomas from a signature of gene expression.

Indexed as

Gene Expression ProfilingCell Line, TumorCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p21DNA ProbesG1 Phase Cell Cycle CheckpointsGene Expression Regulation, NeoplasticHumansMelanocytesMelanomaPrognosisSkin NeoplasmsTumor Suppressor Protein p53Cyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p21DNA ProbesTumor Suppressor Protein p53

Identifiers

PMID22540896
PMCPMC3397470
OpenAlexW1602239139

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.