ArticleOncogene2004
Gene expression-based, individualized outcome prediction for surgically treated lung cancer patients.
Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 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
50 citing papers in PubMed, 152 citations in OpenAlex.
- Development and validation of a quantitative real-time polymerase chain reaction classifier for lung cancer prognosis.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2011Trial
- Refining treatment strategies for non-small cell lung cancer lacking actionable mutations: insights from multi-omics studies.British journal of cancer · 2025Review
- Consistently processed RNA sequencing data from 50 sources enriched for pediatric data.Scientific data · 2025Article
- Prognostic significance ofTranslational cancer research · 2025Article
- Intelligent prognosis evaluation system for stage I-III resected non-small-cell lung cancer patients on CT images: a multi-center study.EClinicalMedicine · 2023Article
- Molecular Radiobiology in Non-Small Cell Lung Cancer: Prognostic and Predictive Response Factors.Cancers · 2022Review
- Article
- Identification of targetable kinases in idiopathic pulmonary fibrosis.Respiratory research · 2022Article
- Identification of Master Regulators Driving Disease Progression, Relapse, and Drug Resistance in Lung Adenocarcinoma.Frontiers in bioinformatics · 2022Article
- Exhaled Breath Temperature Home Monitoring to Detect NSCLC Relapse: Results from a Pilot Study.BioMed research international · 2022Article
- Improved outcomes and staging in non-small-cell lung cancer guided by a molecular assay.Future oncology (London, England) · 2021Article
- Gene Expression Profiling as a Potential Tool for Precision Oncology in Non-Small Cell Lung Cancer.Cancers · 2021Review
- Identification of the molecular function of tripartite motif containing 58 in human lung cancer.Oncology letters · 2021Article
- A systematic dissection of the epigenomic heterogeneity of lung adenocarcinoma reveals two different subclasses with distinct prognosis and core regulatory networks.Genome biology · 2021Article
- OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer.Frontiers in genetics · 2020Article
- Low TIP30 Protein Expression is Associated with a High Risk of Metastasis and Poor Prognosis for Non-Small-Cell Lung Cancer.Journal of clinical medicine · 2019Article
- Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2018Article
- Generating a robust prediction model for stage I lung adenocarcinoma recurrence after surgical resection.Oncotarget · 2017Article
- Overexpression of PTEN suppresses non-small-cell lung carcinoma metastasis through inhibition of integrin αVβ6 signaling.American journal of translational research · 2017Article
- Zinc finger RNA-binding protein promotes non-small-cell carcinoma growth and tumor metastasis by targeting the Notch signaling pathway.American journal of cancer research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individualized outcome prediction classifiers were successfully constructed through expression profiling of a total of 8644 genes in 50 non-small-cell lung cancer (NSCLC) cases, which had been consecutively operated on within a defined short period of time and followed up for more than 5 years. The resultant classifier of NSCLCs yielded 82% accuracy for forecasting survival or death 5 years after surgery of a given patient. In addition, since two major histologic classes may differ in terms of outcome-related expression signatures, histologic-type-specific outcome classifiers were also constructed. The resultant highly predictive classifiers, designed specifically for nonsquamous cell carcinomas, showed a prediction accuracy of more than 90% independent of disease stage. In addition to the presence of heterogeneities in adenocarcinomas, our unsupervised hierarchical clustering analysis revealed for the first time the existence of clinicopathologically relevant subclasses of squamous cell carcinomas with marked differences in their invasive growth and prognosis. This finding clearly suggests that NSCLCs comprise distinct subclasses with considerable heterogeneities even within one histologic type. Overall, these findings should advance not only our understanding of the biology of lung cancer but also our ability to individualize postoperative therapies based on the predicted outcome.
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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.