ArticleJournal of oncology2022
Comprehensive Analysis of the Potential Prognostic Value of 11 Glycosylation-Related Genes in Head and Neck Squamous Cell Carcinoma and Their Correlation with PD-L1 Expression and Immune Infiltration.
Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Glycosylation gene-based molecular recognition model for diabetic retinopathy.Frontiers in medicine · 2026Article
- Bioinformatic analysis of glycosylation-related genes in intervertebral disc degeneration and their roles in immune infiltration and diagnostic models.Scientific reports · 2025Article
- Identification and experimental validation of glycosylation related differentially expressed genes as diagnostic biomarkers in systemic lupus erythematosus.Scientific reports · 2025Article
- Integrative Machine Learning Approach to Explore Glycosylation Signatures and Immune Landscape in Moyamoya Disease.Bioinformatics and biology insights · 2025Article
- Identification of stemness-related glycosylation changes in head and neck squamous cell carcinoma.BMC cancer · 2024Article
- Article
- Molecular basis, potential biomarkers, and future prospects of OSCC and PD-1/PD-L1 related immunotherapy methods.Heliyon · 2024Review
- Article
- Glycosylation-related molecular subtypes and risk score of hepatocellular carcinoma: Novel insights to clinical decision-making.Frontiers in endocrinology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Head and neck squamous cell carcinoma (HNSCC) is one of the worst and most common malignant tumors. This study is aimed at studying the complex interaction between glycosylation-related genes and HNSCC. Methods: The Cancer Genome Atlas (TCGA) contains gene expression profile data of HNSCC and normal tissues, as well as patient survival and clinical data. Combining five glycosylation-related gene sets, bioinformatics was used to analyze the expression of glycosylation-related genes in TCGA-HNSCC datasets and to identify prognostic risk markers, analyze their prognostic value, and the influence of glycosylation-related genes on the tumor immune microenvironment. Results: Gene expression profiles and corresponding clinical information of 499 cases of HNSCC and 44 cases of adjacent tissues were obtained. Using 11 glycosylation-related genes to construct a prognostic risk score, the Kaplan-Meier curve analysis found that the overall survival of the high-risk group was significantly different than that of the low-risk group ( Conclusions: Our research shows that glycosylation-related prognostic risk markers may be independent risk factors for the prognosis of HNSCC. We have found that there may be subtle links between glycosylation-related genes, PD-L1, and immunocyte infiltration, which has certain significance for exploring the occurrence and development of HNSCC and exploring the research of targeted therapy.
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.