Comprehensive bioinformatics analysis targeting sphingosine-related genes in head and neck cancer

A comprehensive bioinformatics analysis of the expression of sphingosine-related genes and prognosis of patients with head and neck squamous cell carcinoma (HNSCC) was performed using TCGA data and TIMER. A keyword search using sphingosine identified 29 genes, 10 of which were associated with patient survival. The expression of CERS2, CERS5, PLPP3, SGPP1, and S1PR4 significantly differed between tumors and normal tissue. A protein-protein interaction analysis revealed a dense network of these genes. Survival rates decreased in patients with the high expression of CERS2, CERS5, and SGPP1, and increased in those with the high expression of PLPP3 and S1PR4. An examination of the relationship between the expression of these five genes and classical clinical risk factors revealed that the high expression of CESR5 negatively correlated with survival for all classical clinical risk factors, while that of S1PR4 positively correlated with survival. The TIMER analysis showed that CERS5 and S1PS4 expression on tumor-infiltrating immune cells from HNSCC patients was associated with survival. Collectively, these results indicate the potential of CERS5 as a marker of a poor prognosis, and the contribution of S1PR4 to a favorable prognosis through its expression on immune cells. Therefore, the expression of sphingosine-related genes on tumor cells and infiltrating immune cells is important for the prognosis of HNSCC patients.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2026-05-21
DOI
https://doi.org/10.1007/s12672-026-05216-5
Primary Topic
Sphingolipid Metabolism and Signaling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive bioinformatics analysis targeting sphingosine-related genes in head and neck cancer

Narikazu Uzawa, Yoshiaki Yura, Masakazu Hamada
Discover Oncology
Sphingolipid Metabolism and Signaling
article

Comprehensive bioinformatics analysis targeting sphingosine-related genes in head and neck cancer

Narikazu Uzawa, Yoshiaki Yura, Masakazu Hamada
article en

Abstract

A comprehensive bioinformatics analysis of the expression of sphingosine-related genes and prognosis of patients with head and neck squamous cell carcinoma (HNSCC) was performed using TCGA data and TIMER. A keyword search using sphingosine identified 29 genes, 10 of which were associated with patient survival. The expression of CERS2, CERS5, PLPP3, SGPP1, and S1PR4 significantly differed between tumors and normal tissue. A protein-protein interaction analysis revealed a dense network of these genes. Survival rates decreased in patients with the high expression of CERS2, CERS5, and SGPP1, and increased in those with the high expression of PLPP3 and S1PR4. An examination of the relationship between the expression of these five genes and classical clinical risk factors revealed that the high expression of CESR5 negatively correlated with survival for all classical clinical risk factors, while that of S1PR4 positively correlated with survival. The TIMER analysis showed that CERS5 and S1PS4 expression on tumor-infiltrating immune cells from HNSCC patients was associated with survival. Collectively, these results indicate the potential of CERS5 as a marker of a poor prognosis, and the contribution of S1PR4 to a favorable prognosis through its expression on immune cells. Therefore, the expression of sphingosine-related genes on tumor cells and infiltrating immune cells is important for the prognosis of HNSCC patients.

Discover Oncology
The University of Osaka (JP)
Japan Society for the Promotion of Science
Zero hunger
Openalex Percentile: Top 8%
Sphingolipid Metabolism and Signaling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.