ArticleThe Journal of clinical investigation2007
Survival prediction of stage I lung adenocarcinomas by expression of 10 genes.
Article in The Journal of clinical investigation, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
56 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Type I interferon related genes are common genes on the early stage after vaccination by meta-analysis of microarray data.Human vaccines & immunotherapeutics · 2015Pooled it
- Varied pathways of stage IA lung adenocarcinomas discovered by integrated gene expression analysis.International journal of biological sciences · 2011Pooled it
- International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2011Pooled it
- 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
- Gene Expression Clustering of Lung Adenocarcinoma Tumors as a Prognosis Tool to Infer Progression-Free Survival.JTO clinical and research reports · 2026Article
- Molecular subtyping of stage I lung adenocarcinoma via molecular alterations in pre-invasive lesion progression.Journal of translational medicine · 2025Article
- Histologic grade and STAS as key predictors of distant recurrence in resected early-stage lung adenocarcinoma: a single-center study.Frontiers in oncology · 2025Article
- Multiregional transcriptomic profiling provides improved prognostic insight in localized non-small cell lung cancer.NPJ precision oncology · 2024Article
- Molecular Radiobiology in Non-Small Cell Lung Cancer: Prognostic and Predictive Response Factors.Cancers · 2022Review
- Article
- Article
- Article
- Non-Coding RNAs as Prognostic Biomarkers: A miRNA Signature Specific for Aggressive Early-Stage Lung Adenocarcinomas.Non-coding RNA · 2020Article
- Denoising Autoencoder, A Deep Learning Algorithm, Aids the Identification of A Novel Molecular Signature of Lung Adenocarcinoma.Genomics, proteomics & bioinformatics · 2020Article
- A Recurrence-Specific Gene-Based Prognosis Prediction Model for Lung Adenocarcinoma through Machine Learning Algorithm.BioMed research international · 2020Article
- Identification of a Sixteen-gene Prognostic Biomarker for Lung Adenocarcinoma Using a Machine Learning Method.Journal of Cancer · 2020Article
- A clonal expression biomarker associates with lung cancer mortality.Nature medicine · 2019Article
- A Pathway-Based Strategy to Identify Biomarkers for Lung Cancer Diagnosis and Prognosis.Evolutionary bioinformatics online · 2019Article
- A novel protein-based prognostic signature improves risk stratification to guide clinical management in early-stage lung adenocarcinoma patients.The Journal of pathology · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adenocarcinoma is the predominant histological subtype of lung cancer, the leading cause of cancer deaths in the world. At stage I, the tumor is cured by surgery alone in about 60% of cases. Markers are needed to stratify patients by prognostic outcomes and may help in devising more effective therapies for poor prognosis patients. To achieve this goal, we used an integrated strategy combining meta-analysis of published lung cancer microarray data with expression profiling from an experimental model. The resulting 80-gene model was tested on an independent cohort of patients using RT-PCR, resulting in a 10-gene predictive model that exhibited a prognostic accuracy of approximately 75% in stage I lung adenocarcinoma when tested on 2 additional independent cohorts. Thus, we have identified a predictive signature of limited size that can be analyzed by RT-PCR, a technology that is easy to implement in clinical laboratories.
Indexed as
Identifiers
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.