ArticleResearch in pharmaceutical sciences2025
A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma.
Article in Research in pharmaceutical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Review
- Sinonasal biphasic seromucinous adenocarcinomas: a report of two morphologically distinct cases with multimodal omics characterization.Virchows Archiv : an international journal of pathology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: One of the most prevalent types of malignancies affecting the cells in the mucosal surface of the oral cavity and pharynx regions is head and neck squamous cell carcinoma (HNSCC). This study analyzed the metabolic profile of genes involved in the metabolism of fatty acids (FAs) to identify biomarkers with prognostic and diagnostic potential in HNSCC. Experimental approach: Gene set enrichment analysis, differential gene expression, and correlation analysis methods were used to examine the enrichment and expression patterns of genes involved in the metabolism of FAs in the HNSCC tissue samples. Gene ontology and network analysis were performed to explore the molecular interactions in the metabolic pathways of FAs. The diagnostic and prognostic potentials of identified highly dysregulated genes in HNSCC were examined by ROC test and Cox-regression methods. Findings/Results: FA-associated metabolic pathways were significantly dysregulated in the HNSC cancer samples. For the diagnosis of HNSC cancer, CYP4B1 and FMO2 could be potential biomarkers, while for the prognosis of HNSCC survival periods, ACOX2, CYP4F12, and ELOVL6 could hold valuable biomarker potential. Conclusion and implications: The findings could help target the metabolism of FAs using the identified biomarkers for the design of new therapeutic opportunities for patients with HNSCC.
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.