Evidence map›Paper›PMID 23063455›Full record

SynthesisEuropean urology2013

Metabolism of kidney cancer: from the lab to clinical practice.

Sunil Sudarshan, Jose A Karam, James Brugarolas, R Houston Thompson, Robert Uzzo, Brian Rini, Vitaly Margulis, Jean-Jacques Patard, Bernard Escudier, W Marston Linehan

Abstract readSystematic Review
In one paragraph

Synthesis in European urology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

42 citing papers in PubMed, 85 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Heterogeneity Metabolism of Renal Cell Carcinomas.Advances in experimental medicine and biology · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Metabolic Pathways in Kidney Cancer: Current Therapies and Future Directions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 9 institutions in 2 countries.

Sunil SudarshanDepartment of Urology, University of Alabama at Birmingham, Birmingham, AL 35294, USA. sudarshan@uab.edu
Jose A Karam
James Brugarolas
R Houston Thompson
Robert Uzzo
Brian Rini
Vitaly Margulis
Jean-Jacques Patard
Bernard Escudier
W Marston Linehan
The University of Texas Southwestern Medical Center · USCleveland Clinic · USFox Chase Cancer Center · USInstitut Gustave Roussy · FRMayo Clinic in Arizona · USNational Institutes of Health · USThe University of Texas MD Anderson Cancer Center · USUniversité Paris-Sud · FRUniversity of Alabama at Birmingham · US

Funding

Molecular Therapeutics of Kidney Cancer: VHL Gene and Fumarate Hydratase GeneZIABC011038 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$29.8M
Molecular Therapeutics of Kidney Cancer: MET Gene and BHD GeneZIABC011043 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$20.9M
Clinical Studies of the Molecular Genetic Basis of Kidney CancerZIABC011028 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.9M
Clinical Nursing and Data Management CoreZIDBC011089 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.4M
Role of fumarate hydratase in renal hypoxia and tumorigenesisK08CA138774 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SUDARSHAN, SUNIL · 2009 to 2013
$864k
Intramural NIH HHSNCI NIH HHS K08 CA138774
6 · The paper itself

Abstract

contextThere is increasing evidence for the role of altered metabolism in the pathogenesis of renal cancer.

objectiveThis review characterizes the metabolic effects of genes and signaling pathways commonly implicated in renal cancer. EVIDENCE ACQUISITION: A systematic review of the literature was performed using PubMed. The search strategy included the following terms: renal cancer, metabolism, HIF, VHL. EVIDENCE SYNTHESIS: Significant progress has been made in the understanding of the metabolic derangements present in renal cancer. These findings have been derived through translational, in vitro, and in vivo studies. To date, the most well-characterized metabolic features of renal cancer are linked to von Hippel-Lindau (VHL) loss. VHL loss and the ensuing increase in the expression of hypoxia-inducible factor affect several metabolic pathways, including glycolysis and oxidative phosphorylation. Collectively, these changes promote a glycolytic metabolic phenotype in renal cancer. In addition, other histologic subtypes of renal cancer are also notable for metabolic derangements that are directly related to the causative genes.

conclusionsCurrent knowledge of the genetics of renal cancer has led to significant understanding of the metabolism of this malignancy. Further studies of the metabolic basis of renal cell carcinoma should provide the foundation for the development of new treatment approaches and development of novel biomarkers.

Indexed as

Basic Helix-Loop-Helix ProteinsCarcinoma, Renal CellEndothelial PAS Domain-Containing Protein 1Gene Expression Regulation, NeoplasticGlycolysisHumansHypoxia-Inducible Factor 1, alpha SubunitKidney NeoplasmsOxidative PhosphorylationSignal TransductionVon Hippel-Lindau Tumor Suppressor ProteinBasic Helix-Loop-Helix ProteinsEndothelial PAS Domain-Containing Protein 1HIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitVHL protein, humanVon Hippel-Lindau Tumor Suppressor Protein

Identifiers

PMID23063455
PMCPMC3709870
OpenAlexW2119845124

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.