ArticleScientific reports2025
Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer.
Article in Scientific reports, 2025. 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
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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.
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.
- Machine Learning-Based Transcriptomic Diagnosis of Periodontitis.International dental journal · 2026Article
- Glycosylation in cancer: mechanisms, diagnostic markers, and therapeutic applications.Molecular and cellular biochemistry · 2025Review
- Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment.European journal of medical research · 2025Article
- The role of glycan-lectin interactions in the tumor microenvironment: immunosuppression regulators of colorectal cancer.American journal of cancer research · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count. The prognostic genes are involved in various biological processes and pathways, influence T cell differentiation, and may contribute to CRC development. High-risk patients show a higher degree of immune cell infiltration. This model aids in the early diagnosis, prognosis assessment, and treatment planning for CRC, and offers a direction for further research.
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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.