ArticleCancer research2011
Lung cancer diagnosis from proteomic analysis of preinvasive lesions.
Article in Cancer research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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Who cites it
29 citing papers in PubMed, 71 citations in OpenAlex.
- Prospective proteomics for discovering biomarkers in lung adenocarcinoma: a literature review.Translational cancer research · 2025Review
- Adverse clinical outcomes and immunosuppressive microenvironment of RHO-GTPase activation pattern in hepatocellular carcinoma.Journal of translational medicine · 2024Article
- Validation of a Proteomic Signature of Lung Cancer Risk from Bronchial Specimens of Risk-Stratified Individuals.Cancers · 2023Article
- Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI.Cancers · 2022Article
- Article
- Reduced Hemoglobin Signal and Improved Detection of Endogenous Proteins in Blood-Rich Tissues for MALDI Mass Spectrometry Imaging.Journal of the American Society for Mass Spectrometry · 2022Article
- The impact of the lung EDRN-CVC on Phase 1, 2, & 3 biomarker validation studies.Cancer biomarkers : section A of Disease markers · 2022Article
- Exploring potential biomarkers for lung adenocarcinoma using LC-MS/MS metabolomics.The Journal of international medical research · 2020Article
- Next Generation Histology-Directed Imaging Mass Spectrometry Driven by Autofluorescence Microscopy.Analytical chemistry · 2018Article
- Detecting the Presence and Progression of Premalignant Lung Lesions via Airway Gene Expression.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Article
- Biophysical technologies for understanding circulating tumor cell biology and metastasis.Translational lung cancer research · 2017Review
- The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer.JCI insight · 2016Article
- Rapid Diagnosis of Lung Tumors, a Feasability Study Using Maldi-Tof Mass Spectrometry.PloS one · 2016Article
- [Research Progress of Biomakers Proteomics-based in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2015Review
- Applying computation biology and "big data" to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2015Review
- Review
- Acyl-coenzyme A-binding protein regulates Beta-oxidation required for growth and survival of non-small cell lung cancer.Cancer prevention research (Philadelphia, Pa.) · 2014Article
- Article
- Article
- Research status and funding trends of lung cancer biomarkers.Journal of thoracic disease · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 3 institutions in 1 country.
Funding
Abstract
Early detection may help improve survival from lung cancer. In this study, our goal was to derive and validate a signature from the proteomic analysis of bronchial lesions that could predict the diagnosis of lung cancer. Using previously published studies of bronchial tissues, we selected a signature of nine matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) mass-to-charge ratio features to build a prediction model diagnostic of lung cancer. The model was based on MALDI MS signal intensity (MALDI score) from bronchial tissue specimens from our 2005 published cohort of 51 patients. The performance of the prediction model in identifying lung cancer was tested in an independent cohort of bronchial specimens from 60 patients. The probability of having lung cancer based on the proteomic analysis of the bronchial specimens was characterized by an area under the receiver operating characteristic curve of 0.77 (95% CI 0.66-0.88) in this validation cohort. Eight of the nine features were identified and validated by Western blotting and immunohistochemistry. These results show that proteomic analysis of endobronchial lesions may facilitate the diagnosis of lung cancer and the monitoring of high-risk individuals for lung cancer in surveillance and chemoprevention trials.
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What OpenQuestion holds
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.