ArticleCancer medicine2021
Plasma metabolomic profile associated with fatigue in cancer patients.
Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 27 citations in OpenAlex.
- Pharmacogenomic characterization of a uric acid metabolism-related signature associated with prognosis and drug sensitivity in gastric cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Metabolomics-based exploration of the pathogenesis of breast cancer-related fatigue and progress of traditional Chinese medicine intervention.Frontiers in oncology · 2026Review
- Integrating symptom science and precision health to enhance palliative care outcomes.Frontiers in medicine · 2026Article
- Metabolic dysregulation associated with core symptom cluster in lung cancer patients undergoing chemotherapy.British journal of cancer · 2026Article
- Exploring the heterogeneity of cancer-related fatigue in advanced hepatocellular carcinoma patients via latent profiles and influencing factors.Scientific reports · 2025Article
- Causal association of blood metabolites, immune cells, and lung cancer: A mediation Mendelian randomization study.Medicine · 2025Article
- Efficacy of thunder-fire moxibustion for cancer-related fatigue in breast cancer survivors: study protocol for a randomized controlled trial.Frontiers in oncology · 2025Article
- Prevalence and biopsychosocial indicators of fatigue in cancer patients.Cancer medicine · 2024Article
- Metabolomic profiling of cancer-related fatigue involved in cachexia and chemotherapy.Scientific reports · 2024Article
- Multi-omics analysis of the gut microbiome and metabolites associated with the psychoneurological symptom cluster in children with cancer receiving chemotherapy.Journal of translational medicine · 2024Article
- Identification of crucial inflammaging related risk factors in multiple sclerosis.Frontiers in molecular neuroscience · 2024Article
- Development and validation of nomogram prognostic model for predicting OS in patients with diffuse large B-cell lymphoma: a cohort study in China.Annals of hematology · 2023Article
- Longitudinal associations of plasma metabolites with persistent fatigue among colorectal cancer survivors up to 2 years after treatment.International journal of cancer · 2023Article
- The prognostic role and metabolic function of GGPS1 in oral squamous cell carcinoma.Frontiers in molecular biosciences · 2023Article
- Electroacupuncture treatment of primary dysmenorrhea: A randomized, participant-blinded, sham-controlled clinical trial protocol.PloS one · 2023Article
- Significant dysregulation of lipid metabolism in patients with papillary thyroid carcinoma after thyroidectomy.Frontiers in endocrinology · 2023Article
- Associative learning contributes to the persistence of fatigue-like behavior in male mice in a model of cancer survivorship.Brain, behavior, and immunity · 2023Article
- Transcriptomic and metabolomic insights into the role of theZoological research · 2022Article
- Depression and fatigue in active IBD from a microbiome perspective-a Bayesian approach to faecal metagenomics.BMC medicine · 2022Article
- A Molecular Approach to Understanding the Role of Diet in Cancer-Related Fatigue: Challenges and Future Opportunities.Nutrients · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolomics is the newest -omics methodology and allows for a functional snapshot of the biochemical activity and cellular state. The goal of this study is to characterize metabolomic profiles associated with cancer-related fatigue, a debilitating symptom commonly reported by oncology patients.
methodsUntargeted ultrahigh performance liquid chromatography/mass spectrometry metabolomics approach was used to identify metabolites in plasma samples collected from a total of 197 participants with or without cancer. Partial least squares-discriminant analysis (PLS-DA) was used to identify discriminant metabolite features, and diagnostic performance of selected classifiers was quantified using area under the receiver operating characteristics (AUROC) curve analysis. Pathway enrichment analysis was performed using Fisher's exact test and the Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway database.
findingsThe global metabolomics approach yielded a total of 1120 compounds of known identity. Significant metabolic pathways unique to fatigued cancer versus control groups included sphingolipid metabolism, histidine metabolism, and cysteine and methionine metabolism. Significant pathways unique to non-fatigued cancer versus control groups included inositol phosphate metabolism, primary bile acid biosynthesis, ascorbate and aldarate metabolism, starch and sucrose metabolism, and pentose and glucuronate interconversions. Pathways shared between the two comparisons included caffeine metabolism, tyrosine metabolism, steroid hormone biosynthesis, sulfur metabolism, and phenylalanine metabolism.
conclusionsWe found significant metabolomic profile differences associated with cancer-related fatigue. By comparing metabolic signatures unique to fatigued cancer patients with metabolites associated with, but not unique to, fatigued cancer individuals (overlap pathways) and metabolites associated with cancer but not fatigue, we provided a broad view of the metabolic phenotype of cancer-related fatigue.
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.