ArticleCancer science2024
Salivary metabolomic biomarkers for non-invasive lung cancer detection.
Article in Cancer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Salivary metabolites for pancreatic cancer diagnosis: a systematic review and meta-analysis.BMC gastroenterology · 2025Pooled it
- Role of Oral-Lung Infection Axis on Respiratory Health.Biomedicines · 2026Review
- Systematic verification of saliva-based biosignatures for oral cancer via targeted metabolomics.Journal of food and drug analysis · 2026Article
- Article
- Urinary Volatilomic Signatures for Non-Invasive Detection of Lung Cancer: A HS-SPME/GC-MS Proof-of-Concept Study.International journal of molecular sciences · 2026Article
- Shaking culture improves physiological maintenance of primary rat kidney tissue slices.Frontiers in toxicology · 2026Article
- Identifying Biomarkers for Chronic Obstructive Pulmonary Disease in the Salivary Metabolome.International journal of chronic obstructive pulmonary disease · 2026Article
- Construction and Characterization of a Novel Direct Electron Transfer Type Enzymatic Sensor Using Spermidine Dehydrogenase.Biosensors · 2025Article
- Advancements and Challenges in Salivary Metabolomics for Early Detection and Monitoring of Systemic Diseases.MedComm · 2025Review
- Machine Learning-Driven Insights in Cancer Metabolomics: From Subtyping to Biomarker Discovery and Prognostic Modeling.Metabolites · 2025Review
- Circulating Exosomal Transfer RNA-Related Fragments as Diagnostic Biomarkers for Non-small Cell Lung Cancer.Current medicinal chemistry · 2025Article
- Stage-Specific Plasma Metabolomic Profiles in Colorectal Cancer.Journal of clinical medicine · 2024Article
- Salivary metabolomic biomarkers for non-invasive lung cancer detection.Cancer science · 2024Article
- Metabolomics reveals early pregnancy biomarkers in sows: a non-invasive diagnostic approach.Frontiers in veterinary science · 2024Article
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 2 institutions in 1 country.
Funding
Abstract
Identifying novel biomarkers for early detection of lung cancer is crucial. Non-invasively available saliva is an ideal biofluid for biomarker exploration; however, the rationale underlying biomarker detection from organs distal to the oral cavity in saliva requires clarification. Therefore, we analyzed metabolomic profiles of cancer tissues compared with those of adjacent non-cancerous tissues, as well as plasma and saliva samples collected from patients with lung cancer (n = 109 pairs). Additionally, we analyzed plasma and saliva samples collected from control participants (n = 83 and 71, respectively). Capillary electrophoresis-mass spectrometry and liquid chromatography-mass spectrometry were performed to comprehensively quantify hydrophilic metabolites. Paired tissues were compared, revealing 53 significantly different metabolites. Plasma and saliva showed 44 and 40 significantly different metabolites, respectively, between patients and controls. Of these, 12 metabolites exhibited significant differences in all three comparisons and primarily belonged to the polyamine and amino acid pathways; N
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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 Socratic graph.