ArticleOncology letters2017
Identification of differentially-expressed genes between early-stage adenocarcinoma and squamous cell carcinoma lung cancer using meta-analysis methods.
Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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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
7 citing papers in PubMed, 12 citations in OpenAlex.
- Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC).Cancers · 2024Article
- A more novel and powerful prognostic gene signature of lung adenocarcinoma determined from the immune cell infiltration landscape.Frontiers in surgery · 2022Article
- Aberrant CpG-methylation affects genes expression predicting survival in lung adenocarcinoma.Cancer medicine · 2018Article
- SOX30 is a key regulator of desmosomal gene suppressing tumor growth and metastasis in lung adenocarcinoma.Journal of experimental & clinical cancer research : CR · 2018Article
- Lung Cancer: One Disease or Many.Human heredity · 2018Article
- Genome-wide DNA methylation profiling reveals novel epigenetic signatures in squamous cell lung cancer.BMC genomics · 2017Article
- Screening and Biosensor-Based Approaches for Lung Cancer Detection.Sensors (Basel, Switzerland) · 2017Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung adenocarcinoma (AC) and squamous cell lung carcinoma (SCC) are two major subtypes of non-small cell lung cancer (NSCLC). Previous studies have demonstrated that fundamental differences exist in the underlying mechanisms of tumor development, growth and invasion between these subtypes. The investigation of differentially-expressed genes (DEGs) between these two NSCLC subtypes is useful for determining and understanding such differences. The present study aimed to identify those DEGs using meta-analysis and the data from four microarray experiments, consisting of 164 AC and 161 SCC samples. Raw gene expression values were converted into the probability of expression (POE) representing the differentially-expressed probability of a gene and expression barcode values representing its expression status. The results indicated that when applying a meta-analysis using barcode values, heterogeneity in genes across studies was less severe than when applying a meta-analysis using POE values. DEGs in each meta-analysis method overlapped substantially (P=1.3×10
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