ArticleClinical proteomics2015
Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium.
Article in Clinical proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Data mining-based lung cancer diagnostic models and high-risk warning for occupational group.Scientific reports · 2026Article
- Omics-based molecular classifications empowering in precision oncology.Cellular oncology (Dordrecht, Netherlands) · 2024Review
- Systematic proteome-wide Mendelian randomization using the human plasma proteome to identify therapeutic targets for lung adenocarcinoma.Journal of translational medicine · 2024Article
- Bile Acids: Physiological Activity and Perspectives of Using in Clinical and Laboratory Diagnostics.Molecules (Basel, Switzerland) · 2022Review
- Proteomic Analysis of Lung Cancer Types-A Pilot Study.Cancers · 2022Article
- Comprehensive serial biobanking in advanced NSCLC: feasibility, challenges and perspectives.Translational lung cancer research · 2020Article
- Circulating Tumor Cells as a Biomarker to Assist Molecular Diagnosis for Early Stage Non-Small Cell Lung Cancer.Cancer management and research · 2020Article
- Differential gene expression analysis reveals novel genes and pathways in pediatric septic shock patients.Scientific reports · 2019Article
- Preferential Localization of MUC1 Glycoprotein in Exosomes Secreted by Non-Small Cell Lung Carcinoma Cells.International journal of molecular sciences · 2019Article
- Identification of protein changes in the blood plasma of lung cancer patients subjected to chemotherapy using a 2D-DIGE approach.PloS one · 2019Article
- Serum osteopontin in patients with lung cancer and chronic obstructive pulmonary disease: does the co-existence make the difference?Journal of thoracic disease · 2018Article
- Calsyntenin-1, clusterin and neutrophil gelatinase-associated lipocalin are candidate serological biomarkers for lung adenocarcinoma.Oncotarget · 2017Article
- Blood-based tumor biomarkers in lung cancer for detection and treatment.Translational lung cancer research · 2017Review
- Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers.Oncotarget · 2017Article
- Using the New CellCollector to Capture Circulating Tumor Cells from Blood in Different Groups of Pulmonary Disease: A Cohort Study.Scientific reports · 2017Article
- Quantitative proteomics in lung cancer.Journal of biomedical science · 2017Review
- Relative protein quantification and accessible biology in lung tumor proteomes from four LC-MS/MS discovery platforms.Proteomics · 2017Article
- Mass spectrometry-assisted gel-based proteomics in cancer biomarker discovery: approaches and application.Theranostics · 2017Review
- Clinical validation of a blood-based classifier for diagnostic evaluation of asymptomatic individuals with pulmonary nodules.Clinical proteomics · 2017Article
- Review
Corrections and comments
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Authors and funding
22 authors.
Funding
Abstract
backgroundSupport for early detection of lung cancer has emerged from the National Lung Screening Trial (NLST), in which low-dose computed tomography (LDCT) screening reduced lung cancer mortality by 20 % relative to chest x-ray. The US Preventive Services Task Force (USPSTF) recently recommended annual screening for the high-risk population, concluding that the benefits (life years gained) outweighed harms (false positive findings, abortive biopsy/surgery, radiation exposure). In making their recommendation, the USPSTF noted that the moderate net benefit of screening was dependent on the resolution of most false-positive results without invasive procedures. Circulating biomarkers may serve as a valuable adjunctive tool to imaging.
resultsWe developed a broad-based proteomics discovery program, integrating liquid chromatography/mass spectrometry (LC/MS) analyses of freshly resected lung tumor specimens (n = 13), lung cancer cell lines (n = 17), and conditioned media collected from tumor cell lines (n = 7). To enrich for biomarkers likely to be found at elevated levels in the peripheral circulation of lung cancer patients, proteins were prioritized based on predicted subcellular localization (secreted, cell-membrane associated) and differential expression in disease samples. 179 candidate biomarkers were identified. Several markers selected for further validation showed elevated levels in serum collected from subjects with stage I NSCLC (n = 94), relative to healthy smoker controls (n = 189). An 8-marker model was developed (TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21-1, SCC) which accurately distinguished subjects with lung cancer (n = 50) from high risk smokers (n = 50) in an independent validation study (AUC = 0.775).
conclusionsIntegrating biomarker discovery from multiple sample types (fresh tissue, cell lines and conditioned medium) has resulted in a diverse repertoire of candidate biomarkers. This unique collection of biomarkers may have clinical utility in lung cancer detection and diagnoses.
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