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Updated: Apr 3, 2026

Glycan Node Analysis: A Bottom-up Approach to Glycomics
Published on: May 22, 2016
Mining cancer genomes for copy number alterations identifies glycosylation enzymes as oncogenic drivers
Pranoy Sahu1, Francesco Russo1, Domenico Russo1
1Institute of Endotypes in Oncology, Metabolism and Immunology "G. Salvatore," National Research Council of Italy, Naples 80131, Italy.
Abstract:
Altered cell-surface glycans are established cancer biomarkers, yet no oncogenes have been identified within glycan biosynthesis machinery. This represents a critical gap, as defining a gene as a true oncogene, rather than merely a component of an oncogenic pathway, reveals targetable dependencies that can improve clinical decisions. To date, no gain-of-function mutations have been detected in glycogenes, and the search for such mutations is largely saturated. To address this gap, we developed a bioinformatic-experimental pipeline to identify copy number alteration (CNA)-based driver genes, overcoming noise from passenger genes. The approach recovered known oncogenes and tumor suppressors, while revealing novel candidates, including glyco-oncogenes. Focusing on the glycosphingolipid (GSL) biosynthetic pathway, we validated B4GALT5 as a bona fide glyco-oncogene whose genomic amplification drives proliferation, oncogene addiction, and poor prognosis, effects that can be reversed by targeted pathway inhibition. Mechanistic studies show that B4GALT5 promotes cancer cell survival via integrin-Src signaling under anchorage-independent conditions. Collectively, these findings establish glycosylation enzymes as a druggable oncogene class and provide a resource of high-confidence CNA-based cancer regulatory genes.
Insights
Researchers identified novel cancer-driving genes in glycan biosynthesis. They found that B4GALT5 acts as a glyco-oncogene, promoting cancer growth and survival, offering new therapeutic targets.
Area of Science:
- Biochemistry
- Molecular Biology
- Cancer Research
Background:
- Altered cell-surface glycans are recognized cancer biomarkers.
- No genes within glycan biosynthesis machinery have been definitively classified as oncogenes.
- Identifying oncogenes within this pathway is crucial for understanding cancer dependencies and improving clinical decisions.
Purpose of the Study:
- To develop a pipeline for identifying copy number alteration (CNA)-based driver genes in glycan biosynthesis.
- To discover novel glyco-oncogenes and validate their role in cancer.
- To investigate the functional role of B4GALT5 in cancer progression and survival.
Main Methods:
- Developed a bioinformatic-experimental pipeline to identify CNA-driven genes, distinguishing drivers from passengers.
- Focused on the glycosphingolipid (GSL) biosynthetic pathway.
- Validated B4GALT5 as a glyco-oncogene through functional and mechanistic studies, including pathway inhibition and signaling analysis.
Main Results:
- The pipeline successfully identified known oncogenes and tumor suppressors, alongside novel candidates including glyco-oncogenes.
- Genomic amplification of B4GALT5 was confirmed as a driver of cancer proliferation, oncogene addiction, and poor prognosis.
- B4GALT5 was shown to enhance cancer cell survival under anchorage-independent conditions by promoting integrin-Src signaling.
Conclusions:
- Glycosylation enzymes represent a druggable class of oncogenes.
- B4GALT5 is a validated glyco-oncogene whose amplification drives cancer progression.
- Targeted inhibition of the B4GALT5 pathway can reverse oncogenic effects, offering potential therapeutic strategies.
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