ArticleMetabolomics : Official journal of the Metabolomic Society2021
Metabolomic and elemental profiling of human tissue in kidney cancer.
Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Identification of biomarkers for renal cell carcinoma in plasma samples measured using liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry.Scientific reports · 2025Article
- Broadband Collision-Induced Dissociation Mass Spectrometry Imaging.Journal of the American Society for Mass Spectrometry · 2025Article
- 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
- Cryogenic mouse tissue homogenization as an alternative to fresh-frozen biopsy use for genomics, transcriptomics, proteomics and metabolomics.Scientific reports · 2025Article
- Untargeted metabolomics reveals novel metabolites in Lotus japonicus roots during arbuscular mycorrhiza symbiosis.The New phytologist · 2025Article
- Metal-modulated T cell antitumor immunity and emerging metalloimmunotherapy.Cancer metastasis reviews · 2025Review
- Review
- Metabolic signature of renal cell carcinoma tumours and its correlation with the urinary metabolome.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Fiber Laser-Generated Silver-109 Nanoparticles for Laser Desorption/Ionization Mass Spectrometry of Illicit Drugs.Journal of the American Society for Mass Spectrometry · 2024Article
- Review
- Metabolomic profiling of human bladder tissue extracts.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Metabolomic profiles of intact tissues reflect clinically relevant prostate cancer subtypes.Journal of translational medicine · 2023Article
- Nanomedicine for renal cell carcinoma: imaging, treatment and beyond.Journal of nanobiotechnology · 2023Review
- Metabolomic and elemental profiling of blood serum in bladder cancer.Journal of pharmaceutical analysis · 2022Article
- CBX Family Members in Two Major Subtypes of Renal Cell Carcinoma: A Comparative Bioinformatic Analysis.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Identification of HGD and GSTZ1 as Biomarkers Involved Metabolic Reprogramming in Kidney Renal Clear Cell Carcinoma.International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
Abstract
introductionKidney cancer is one of the most frequently diagnosed and the most lethal urinary cancer. Despite advances in treatment, no specific biomarker is currently in use to guide therapeutic interventions.
objectivesMajor aim of this work was to perform metabolomic and elemental profiling of human kidney cancer and normal tissue and to evaluate cancer biomarkers.
methodsMetabolic and elemental profiling of tumor and adjacent normal human kidney tissue from 50 patients with kidney cancer was undertaken using three different analytical methods.
resultsFive potential tissue biomarkers of kidney cancer were identified and quantified using with high-resolution nuclear magnetic resonance spectroscopy. The contents of selected chemical elements in tissues was analyzed using inductively coupled plasma optical emission spectrometry. Eleven mass spectral features differentiating between kidney cancer and normal tissues were detected using silver-109 nanoparticle enhanced steel target laser desorption/ionization mass spectrometry.
conclusionsOur results, derived from the combination of ICP-OES, LDI MS and 1H NMR methods, suggest that tissue biomarkers identified herein appeared to have great potential for use in clinical prognosis and/or diagnosis of kidney cancer.
Indexed as
Identifiers
What OpenQuestion holds
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.