ArticleLipids2005
Lipid class distribution of fatty acids including conjugated linoleic acids in healthy and cancerous parts of human kidneys.
Article in Lipids, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Phospholipid composition and electric charge in healthy and cancerous parts of human kidneys.The Journal of membrane biology · 2013Trial
- Untargeted metabolomic profiling of serum and urine in kidney cancer: a non-invasive approach for biomarker discovery.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Lipid metabolism reprogramming in renal cell carcinoma.Cancer metastasis reviews · 2022Review
- Structural library and visualization of endogenously oxidized phosphatidylcholines using mass spectrometry-based techniques.Nature communications · 2021Article
- Identification of novel biomarkers of hepatocellular carcinoma by high-definition mass spectrometry: Ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry and desorption electrospray ionization mass spectrometry imaging.Rapid communications in mass spectrometry : RCM · 2020Article
- Article
- Genetic and metabolic hallmarks of clear cell renal cell carcinoma.Biochimica et biophysica acta. Reviews on cancer · 2018Review
- Addressing metabolic heterogeneity in clear cell renal cell carcinoma with quantitative Dixon MRI.JCI insight · 2017Article
- Lipidomic Signatures and Associated Transcriptomic Profiles of Clear Cell Renal Cell Carcinoma.Scientific reports · 2016Article
- Analysis of renal cell carcinoma as a first step for developing mass spectrometry-based diagnostics.Journal of the American Society for Mass Spectrometry · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study the FA compositions of healthy and cancerous human renal tissues from the same patients are compared with special reference to the CLA and PUFA content. CLA was preferentially incorporated into neutral lipid compared with phospholipid classes. Its distribution profile was similar to that of monounsaturated FA, but unlike that found with 18:2n-6. Different incorporation patterns were found for individual CLA isomers. Comparing renal cell carcinoma (RCC) and healthy kidney, the total CLA content was significantly lower in the cholesterylester fraction and significantly higher in the PE and PS fractions from RCC. The most significant differences between healthy and cancerous renal tissue were in the content of t10,c12-CLA. Furthermore, the lipid class distributions of n-6 PUFA were determined, and several significant differences between RCC and healthy renal tissue were found. This is of interest, as it has been proposed that the anticarcinogenic properties of dietary CLA are associated with their interference in the metabolism of 20:4n-6. The involvement of CLA in preventing renal cancer cannot be definitively demonstrated from the design of this study, nor was it intended, but the complete determination of the FA composition of adjacent healthy and cancerous tissues may provide an insight if lipids are involved in this disease.
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Registered trials
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.