ArticleCancers2021
Serum Metabolite Profiles in Participants of Lung Cancer Screening Study; Comparison of Two Independent Cohorts.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 16 citations in OpenAlex.
- Late-Stage Presentation and Diagnostic Gaps in Romanian Lung Cancer Patients: A Retrospective Tertiary Center Analysis with Implications for Scalable Screening.Diagnostics (Basel, Switzerland) · 2026Article
- Column switching liquid chromatography dual mass spectrometry system for simultaneous untargeted metabolomics and targeted exposomics.Nature communications · 2026Article
- Beyond the Scan: Adapting Multimodal Lung Cancer Screening for Central and Eastern Europe-Overcoming Systemic Barriers and Epidemiological Confounders.Medical sciences (Basel, Switzerland) · 2026Review
- Emerging biomarkers for early cancer detection and diagnosis: challenges, innovations, and clinical perspectives.European journal of medical research · 2025Review
- Prediction and analysis of the tumor invasiveness of pulmonary ground-glass nodules based on metabolomics.Clinical and experimental medicine · 2024Article
- Profiling of serum metabolome of breast cancer: multi-cancer features discriminate between healthy women and patients with breast cancer.Frontiers in oncology · 2024Article
- Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies.Biomolecules · 2023Article
- Serum iron status and the risk of lung cancer: a two-sample Mendelian-randomization study.Journal of thoracic disease · 2023Article
- MACdb: A Curated Knowledgebase for Metabolic Associations across Human Cancers.Molecular cancer research : MCR · 2023Article
- The predictive value of chest computed tomography images, tumor markers, and metabolomics in the identification of benign and malignant pulmonary nodules.Journal of thoracic disease · 2023Article
- See Lung Cancer with an AI.Cancers · 2023Review
- A Systematic Role of Metabolomics, Metabolic Pathways, and Chemical Metabolism in Lung Cancer.Vaccines · 2023Review
- Lipid Biomarkers in Liquid Biopsies: Novel Opportunities for Cancer Diagnosis.Pharmaceutics · 2023Review
- Association of serum metabolome profile with the risk of breast cancer in participants of the HUNT2 study.Frontiers in oncology · 2023Article
- The Lipid Composition of Serum-Derived Small Extracellular Vesicles in Participants of a Lung Cancer Screening Study.Cancers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
Serum metabolome is a promising source of molecular biomarkers that could support early detection of lung cancer in screening programs based on low-dose computed tomography. Several panels of metabolites that differentiate lung cancer patients and healthy individuals were reported, yet none of them were validated in the population at high-risk of developing cancer. Here we analyzed serum metabolome profiles in participants of two lung cancer screening studies: MOLTEST-BIS (Poland,
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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.