ArticleLung cancer (Amsterdam, Netherlands)2017
Integration of multiple "OMIC" biomarkers: A precision medicine strategy for lung cancer.
Article in Lung cancer (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Melatonin enhances radiofrequency-induced NK antitumor immunity, causing cancer metabolism reprogramming and inhibition of multiple pulmonary tumor development.Signal transduction and targeted therapy · 2021Trial
- The urinary-metabolite-based lung cancer index (uLCI): an interpretable machine-learning risk model for early-stage disease.medRxiv : the preprint server for health sciences · 2026Article
- 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
- Knowledge Mapping of Human Genetic Variation in Multiomics Biomarker Translation: A Bibliometric Analysis.Human mutation · 2026Article
- The CALLY index in cancer research: a comprehensive review.Oncology reviews · 2026Review
- Multi-omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma.Molecular oncology · 2025Article
- Decoding Multi-Omics Signatures in Lower-Grade Glioma Using Protein-Protein Interaction-Informed Graph Attention Networks and Ensemble Learning.Diagnostics (Basel, Switzerland) · 2025Article
- Omics and Multi-Omics in IBD: No Integration, No Breakthroughs.International journal of molecular sciences · 2023Review
- AberrantBiomedicines · 2023Article
- Biomarkers in Lung Cancer Screening: a Narrative Review.Current challenges in thoracic surgery · 2023Article
- Clinical Scores, Biomarkers and IT Tools in Lung Cancer Screening-Can an Integrated Approach Overcome Current Challenges?Cancers · 2023Review
- Infection Biomarkers Based on Metabolomics.Metabolites · 2022Review
- Urinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancer.Metabolites · 2022Article
- Circulating Tumor Cell-Free DNA Genes as Prognostic Gene Signature for Platinum Resistant Ovarian Cancer Diagnosis.Biomarker insights · 2022Article
- Urinary Biomarkers for Early Diagnosis of Lung Cancer.Journal of clinical medicine · 2021Article
- Artificial Intelligence Tools for Refining Lung Cancer Screening.Journal of clinical medicine · 2020Review
- Urinary fluorescent metabolite O-aminohippuric acid is a useful biomarker for lung cancer detection.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Review
- Biomarkers in Early Diagnosis and Early Stage Lung Cancer: The Clinician's Point of View.Journal of clinical medicine · 2020Article
- N-Glycan profiling of lung adenocarcinoma in patients at different stages of disease.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020Article
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2 authors.
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Abstract
More than half of all new lung cancer diagnoses are made in patients with locally advanced or metastatic disease, at which point therapeutic options are scarce. It is anticipated, however, that the widespread use of Low-Dose Computed Tomography (LDCT) screening, will lead to a greater proportion of lung cancers being diagnosed at an early, operable, stage. Still, the overall rate of recurrence for surgically treated Stage I lung cancer patients is up to 30% within 5 years of diagnosis. Thus, the identification and clinical application of biomarkers of early stage lung cancer are a pressing medical need. The integrative analysis of "omic," clinical and epidemiological data for single patients is a core principle of precision medicine. Through rigorous bioinformatics and statistical analyses we have identified biomarkers of early-stage lung cancer based on DNA methylation, expression of mRNA and miRNA, inflammatory cytokines, and urinary metabolites. Beyond a more comprehensive understanding of the molecular taxonomy of lung cancer, these biomarkers can have very practical implications in the context of unmet clinical needs of early stage lung cancer patients: First, current guidelines for LDCT screening broadly include individuals based on age and history of heavy smoking. Tumor-derived circulating biomarkers in the blood and urine associated with lung cancer risk could narrow and prioritize individuals for LDCT screening. Second, a high number of nodules are identified by LDCT, of which fewer than 5% are finally diagnosed as lung cancer. Biomarkers may help discriminate malignant nodules from benign or indolent lesions. Third, the expected rise in the numbers of lung cancer patients diagnosed at an early stage will necessitate new treatment options. Circulating, urinary and tissue-based biomarkers that molecularly categorize Stage I patients after tumor resection can help identify high-risk patients who may benefit from adjuvant chemotherapy or innovative immunotherapy regimens.
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