ArticleCellular and molecular life sciences : CMLS2012
Development of transcriptomic biomarker signature in human saliva to detect lung cancer.
Article in Cellular and molecular life sciences : CMLS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 3 of them syntheses that pooled it.
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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.
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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
93 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Salivary biomarkers for diagnosis of systemic diseases and malignant tumors. A systematic review.Medicina oral, patologia oral y cirugia bucal · 2020Pooled it
- Clinical and diagnostic utility of saliva as a non-invasive diagnostic fluid: a systematic review.Biochemia medica · 2015Pooled it
- Salivary biomarkers for cancer diagnosis: a meta-analysis.Annals of medicinePooled it
- Salivary genetic biomarkers of lung cancer: a systematic review and meta-analysis of the diagnostic accuracy.Cancer cell international · 2025Review
- Bio fluid exosomes: promises, challenges, and future directions in translational medicine.Journal of translational medicine · 2025Review
- BreathERJ open research · 2025Article
- Evaluation of Commercially Available Kits for Parallel DNA and microRNA Isolation Suitable for Epigenetic Analyses from Cell-Free Saliva and Salivary Extracellular Vesicles.International journal of molecular sciences · 2025Article
- CCN1 is a therapeutic target upregulated in EML4-ALK mutant lung adenocarcinoma reversibly resistant to alectinib.Cell death & disease · 2025Article
- Diagnosis of lung cancer using salivary miRNAs expression and clinical characteristics.BMC pulmonary medicine · 2025Article
- Salivary biomarkers in cancer detection and management.Acta biochimica Polonica · 2025Review
- Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025Review
- Unveiling the oncogenic role of LZTS1 in colorectal cancer.Journal of cellular and molecular medicine · 2024Article
- Immune cell-related prognostic risk model and tumor immune environment modulation in esophageal carcinoma based on single-cell and bulk RNA sequencing.Thoracic cancer · 2024Article
- Microbes for lung cancer detection: feasibility and limitations.Frontiers in oncology · 2024Review
- Biomarkers in Cancer Detection, Diagnosis, and Prognosis.Sensors (Basel, Switzerland) · 2023Review
- CDK6 is activated by the atypical cyclin I to promote E2F-mediated gene expression and cancer cell proliferation.Molecular oncology · 2023Article
- [Latest Findings on Salivary Tumor Biomarkers].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Review
- Article
- Saliva Diagnostics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022Review
- Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Lung cancer is the leading cause of cancer death for both men and women worldwide. Since most of the symptoms found for lung cancer are nonspecific, diagnosis is mostly done at late and progressed stage with the consecutive poor therapy outcome. Effective early detection techniques are sorely needed. The emerging field of salivary diagnostics could provide scientifically credible, easy-to-use, non-invasive and cost-effective detection methods. Recent advances have allowed us to develop discriminatory salivary biomarkers for a variety of diseases from oral to systematic diseases. In this study, salivary transcriptomes of lung cancer patients were profiled and led to the discovery and pre-validation of seven highly discriminatory transcriptomic salivary biomarkers (BRAF, CCNI, EGRF, FGF19, FRS2, GREB1, and LZTS1). The logistic regression model combining five of the mRNA biomarkers (CCNI, EGFR, FGF19, FRS2, and GREB1) could differentiate lung cancer patients from normal control subjects, yielding AUC value of 0.925 with 93.75 % sensitivity and 82.81 % specificity in the pre-validation sample set. These salivary mRNA biomarkers possess the discriminatory power for the detection of lung cancer. This report provides the proof of concept of salivary biomarkers for the non-invasive detection of the systematic disease. These results poised the salivary biomarkers for the initiation of a multi-center validation in a definitive clinical context.
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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.