ArticleJournal of gastrointestinal oncology2022
A bioinformatics analysis for diagnostic roles of the
Article in Journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Identification of EGR2 and TGFB1 as Potential Immunoregulatory Biomarkers for Allergic Rhinitis: An Exploratory Bioinformatics and Pilot Validation Study.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Prognostic genes in hepatocellular carcinoma and their function: an analysis integrating high-throughput-based spatial transcriptomics and single-cell RNA-sequencing.Journal of gastrointestinal oncology · 2026Article
- Discovery and validation of key genes and potential mechanisms linked to endothelial cell senescence and carbohydrate metabolism in recurrent spontaneous abortion.Open medicine (Warsaw, Poland) · 2026Article
- Identification of Biomarkers for Oxidative Stress in Age-Related Macular Degeneration: Combining Transcriptomics and Mendelian Randomization Analysis.Translational vision science & technology · 2025Article
- Identification of core genes related to exosomes and screening of potential targets in periodontitis using transcriptome profiling at the single-cell level.BMC oral health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Esophageal cancer (EC) is the eighth most commonly occurring cancer worldwide and the sixth leading cause of cancer-related deaths. The therapeutic effect of EC patients is not ideal, and new biomarkers are needed to guide diagnosis and prognosis of EC patients. Methods: We analyzed The Cancer Genome Atlas (TCGA), Gene Expression Profiling Interactive Analysis (GEPIA), and GeneMANIA databases to obtain RNA-sequencing data and clinical data. The clinical data included age, gender, race, stage, type, status, etc. The prognosis outcome included overall survival (OS) and progression-free interval (PFI). Subsequently, we conducted further research on gene expressions, enrichment analysis, interaction network, and prognostic values by R software, containing ggplot2, ComplexHeatmap, DESeq2, pROC R package, based on Results: We found that mRNA transcription levels of Conclusions: We discover that
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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.