ArticleMolecular medicine reports2023
Identification of potential prognostic markers for lung adenocarcinoma using comprehensive analysis.
Article in Molecular medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 4 citations in OpenAlex.
- Mechanisms of angiopoietin-like protein 7 regulation and therapeutic potential in tumors.Molecular biology reports · 2026Review
- Whole Exome Sequencing Identifies Novel Splicing Variants in the PTPRQ Gene and Their Mechanisms in Autosomal Recessive Non-Syndromic Hearing Loss.Journal of otology · 2025Article
- Genome-Wide Methylation Profiling of Peripheral T-Cell Lymphomas Identifies TRIP13 as a Critical Driver of Tumor Proliferation and Survival.Epigenomes · 2024Article
- Genome-wide methylation profiling of Peripheral T-cell lymphomas identifies TRIP13 as a critical driver of tumor proliferation and survival.Research square · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung adenocarcinoma (LUAD) is a common malignancy throughout the world with high levels of mortality and morbidity. In the present study, potential biomarkers and treatment targets for LUAD were investigated using data from The Cancer Genome Atlas. Overall, 4,485 differentially expressed genes (DEGs) were identified (1,857 upregulated and 2,628 downregulated) between tumor and adjacent control tissues. Functional analysis with Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Gene Set Variation Analysis and Gene Set Enrichment Analysis revealed significant enrichment of the DEGs in pathways related to system development, cell cycle and cell adhesion. Weighted gene co‑expression network analysis distinguished ten co‑expression modules on inclusion of the clinical profiles of patients with LUAD. Of these, the blue/turquoise modules showed peak association with tumor onset. Analysis of hub modules identified five hub genes, namely
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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.