Evidence map›Paper›PMID 29602399›Full record

ReviewSeminars in nephrology2018

Metabolomics and Metabolic Reprogramming in Kidney Cancer.

Robert H Weiss

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

75 citing papers in PubMed, 111 citations in OpenAlex.

  1. Observational
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15 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

1 author at 1 institution in 1 country.

Robert H WeissDivision of Nephrology, University of California, Davis, CA and Medical Service, VA Northern California Health Care System, Sacramento, CA. Electronic address: rhweiss@ucdavis.edu.
VA Northern California Health Care System · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Metabolomic discovery and validation of urinary biomarkers for kidney cancerR01CA135401 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WEISS, ROBERT H. · 2009 to 2013
$1.5M
A Metabolomic Approach to Discovering Biomarkers for ADPKDR01DK082690 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WEISS, ROBERT H. · 2009 to 2010
$696k
A Metabolomic Approach to Discovering Markers for ADPKD ProgressionR01DK107416 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WEISS, ROBERT H. · 2016 to 2018
$640k
The addition of fish oil to sorafenib may prevent kidney cancer metastasisR03CA181837 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WEISS, ROBERT H. · 2014 to 2015
$156k
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA135401NCI NIH HHS R03 CA181837NIDDK NIH HHS R01 DK082690NIDDK NIH HHS R01 DK107416
6 · The paper itself

Abstract

Kidney cancer, or renal cell carcinoma (RCC), is a disease of increasing incidence that commonly is seen in the general practice of nephrology. Despite this state of affairs, this fascinating and highly morbid disease frequently is under-represented, or even absent, from the curriculum of nephrologists in training and generally is underemphasized in national nephrology meetings, both scientific as well as clinical. Although classic concepts in cancer research in general had led to the concept that cancer is a disease resulting from mutations in the control of growth-regulating pathways, reinforced by the discovery of oncogenes, more contemporary research, particularly in kidney cancer, has uncovered changes in metabolic pathways mediated by those same genes that control tumor energetics and biosynthesis. This adaptation of classic biochemical pathways to the tumor's advantage has been labeled metabolic reprogramming. For example, in the case of kidney cancer there exists a near-universal presence of von Hippel-Lindau tumor suppressor (pVHL) inactivation in the most common form, clear cell RCC (ccRCC), leading to activation of hypoxia-relevant and other metabolic pathways. Studies of this and other pathways in clear cell RCC (ccRCC) have been particularly revealing, leading to the concept that ccRCC can itself be considered a metabolic disease. For this reason, the relatively new method of metabolomics has become a useful technique in the study of ccRCC to tease out those pathways that have been reprogrammed by the tumor to its maximum survival advantage. Furthermore, identification of the nodes of such pathways can lead to novel areas for drug intervention in a disease for which such targets are seriously lacking. Further research and dissemination of these concepts, likely using omics techniques, will lead to clinical trials of therapeutics specifically targeted to tumor metabolism, rather than those generally toxic to all proliferating cells. Such novel agents are highly likely to be more effective than existing drugs and to have far fewer adverse effects. This review provides a general overview of the technique of metabolomics and then discusses how it and other omics techniques have been used to further our understanding of the basic biology of kidney cancer as well as to identify new therapeutic approaches.

Indexed as

MetabolomicsAdaptation, PhysiologicalArginineCarcinoma, Renal CellFatty AcidsGlutamineGlycolysisHumansKidney NeoplasmsLipidsMetabolic Networks and PathwaysTryptophanArginineFatty AcidsGlutamineLipidsTryptophanKidney cancermetabolomicsreprogrammingtherapeutics

Identifiers

PMID29602399
PMCPMC6009840
OpenAlexW2795319633

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.