Evidence map›Paper›PMID 20004943›Full record

ArticleHuman pathology2010

Quantitative expression of VEGF, VEGF-R1, VEGF-R2, and VEGF-R3 in melanoma tissue microarrays.

Janice M Mehnert, Mary M McCarthy, Lucia Jilaveanu, Keith T Flaherty, Saadia Aziz, Robert L Camp, David L Rimm, Harriet M Kluger

Abstract read
In one paragraph

Article in Human pathology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Relationships between VEGF protein expression and pathological characteristics of diffuse large B cell lymphoma: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  2. Trial
  3. Aflibercept (VEGF Trap) in inoperable stage III or stage iv melanoma of cutaneous or uveal origin.Clinical cancer research : an official journal of the American Association for Cancer Research · 2011
    Trial
  4. Article
  5. VEGFR1 as a Target for Cardiovascular Gene Therapy.Journal of cardiovascular translational research · 2025
    Review
  6. Ang-1 and VEGF: central regulators of angiogenesis.Molecular and cellular biochemistry · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma.International journal of molecular sciences · 2022
    Review
  15. Melanoma therapeutics: a literature review.Journal of biomedical research · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

8 authors at 3 institutions in 1 country.

Janice M MehnertYale Cancer Center, Yale University School of Medicine, New Haven, CT 06520, USA. mehnerja@umdnj.edu
Mary M McCarthy
Lucia Jilaveanu
Keith T Flaherty
Saadia Aziz
Robert L Camp
David L Rimm
Harriet M Kluger
Yale University · USYale Cancer Center · USUniversity of Pennsylvania · US

Funding

Predicting Melanoma Response to BAY 43-9006/ChemotherapyR01CA115756 · NCI · YALE UNIVERSITY · PI KLUGER, HARRIET M. · 2005 to 2008
$1.1M
NCI NIH HHS CA115756-01NCI NIH HHS R01 CA115756
6 · The paper itself

Abstract

Angiogenesis is required for progression and metastasis of melanoma. Analysis of angiogenic molecules in benign and malignant tissues may allow identification of markers useful for prediction of sensitivity to antiangiogenic agents. We hypothesized that differential expression of vascular endothelial growth factor (VEGF) and its receptors VEGF-R1, VEGF-R2, and VEGF-R3 would be higher in melanomas than nevi and higher in advanced melanoma. Using automated quantitative analysis, we quantified VEGF, -R1, -R2 and -R3 expression in melanoma tissue microarrays composed of 540 nevi and 468 melanoma specimens (198 primaries, 270 metastases). VEGF, VEGF-R1, VEGF-R2, and VEGF-R3 expression was significantly higher in melanomas than nevi by unpaired t tests (P < .0001). VEGF-R2 expression was higher in metastatic specimens (P < .0001), but VEGF-R3 expression was higher in primaries (P < .0001). VEGF was coexpressed with all 3 receptors when assessed by Spearman's rank correlation. VEGF, VEGF-R1, VEGF-R2, and VEGF-R3 expression is higher in melanomas than nevi. Higher expression of VEGF-R2 was found in metastases versus primaries, supporting the idea that selection for an angiogenic phenotype in metastatic melanoma is conferred via up-regulation of VEGF-R2. However, higher expression of VEGF-R3 was seen on primary lesions, potentially implicating this receptor in initiation of lymphatic tumor spread. Clinical trials using antiangiogenic agents in melanoma should include correlative assays of VEGF, VEGF-R1, VEGF-R2, and VEGF-R3 as biomarkers of response to therapy, preferably using quantitative methods such as automated quantitative analysis. Such assessments could assist with evaluation of these molecules as therapeutic targets in melanoma, ultimately facilitating improved selection of patients for treatment.

Indexed as

Blotting, WesternCell LineDisease ProgressionHumansImage Processing, Computer-AssistedImmunohistochemistryMelanomaNevusProportional Hazards ModelsRegression AnalysisSeverity of Illness IndexSkin NeoplasmsStatistics, NonparametricTissue Array AnalysisVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor Receptor-2Vascular Endothelial Growth Factor Receptor-3

Identifiers

PMID20004943
PMCPMC2824079
OpenAlexW2065272192

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.