Evidence map›Paper›PMID 19216840›Full record

ReviewCurrent oncology reports2009

VHL gene mutations in renal cell carcinoma: role as a biomarker of disease outcome and drug efficacy.

C Lance Cowey, W Kimryn Rathmell

Open access · greenAbstract readReview
In one paragraph

Review in Current oncology reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

94 citing papers in PubMed, 1 synthesis or guideline pooled it, 165 citations in OpenAlex.

  1. Clinicopathologic Significance ofInternational journal of molecular sciences · 2018
    Pooled it
  2. Trial
  3. Randomized phase II dose comparison LITESPARK-013 study of belzutifan in patients with advanced clear cell renal cell carcinoma.Annals of oncology : official journal of the European Society for Medical Oncology · 2024
    Trial
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  5. Review
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  11. Article
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  15. Hereditary renal mass syndromes: a pictorial review.Abdominal radiology (New York) · 2025
    Review
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  17. Article
  18. Review
  19. Review
  20. Article

34 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution.

C Lance CoweyLineberger Cancer Center, 450 West Drive, CB 7295, Chapel Hill, NC 27599, USA.
W Kimryn Rathmell
UNC Lineberger Comprehensive Cancer Center

Funding

Genetic Events in the Development of Renal Cell CarcinomaR01CA121781 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RATHMELL, WENDY KIMRYN · 2007 to 2011
$1.4M
NCI NIH HHS R01 CA121781
6 · The paper itself

Abstract

The therapeutic landscape for renal cell carcinoma (RCC) has changed drastically over the past several years with the emergence of molecularly targeted therapies. With previous prognostic and predictive tools based on studies of patients treated with cytokine therapies, confirmation of these prior methods and discovery of new markers in this new era of targeted therapy are of great importance. Alteration of the von Hippel-Lindau gene (VHL) by mutation, loss of heterozygosity, and promoter methylation has been found to be important to RCC pathogenesis. In this review, we discuss the potential role of VHL mutation as a prognostic and predictive marker for RCC.

Indexed as

MutationBiomarkers, TumorCarcinoma, Renal CellHumansKidney NeoplasmsPrognosisVascular Endothelial Growth Factor AVon Hippel-Lindau Tumor Suppressor ProteinBiomarkers, TumorVascular Endothelial Growth Factor AVon Hippel-Lindau Tumor Suppressor Protein

Identifiers

PMID19216840
PMCPMC2873025
OpenAlexW2165647907

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.