TY - JOUR
T1 - The transcriptional landscape of glycosylation-related genes in cancer
AU - Rodriguez, Ernesto
AU - Lindijer, Dimitri V.
AU - van Vliet, Sandra J.
AU - Garcia Vallejo, Juan J.
AU - van Kooyk, Yvette
N1 - Publisher Copyright: © 2024 The Authors
PY - 2024/3/15
Y1 - 2024/3/15
N2 - Changes in glycosylation patterns have been associated with malignant transformation and clinical outcomes in several cancer types, prompting ongoing research into the mechanisms involved and potential clinical applications. In this study, we performed an extensive transcriptomic analysis of glycosylation-related genes and pathways, using publicly available bulk and single cell transcriptomic datasets from tumor samples and cancer cell lines. We identified genes and pathways strongly associated with different tumor types, which may represent novel diagnostic biomarkers. By using single cell RNA-seq data, we characterized the contribution of different cell types to the overall tumor glycosylation. Transcriptomic analysis of cancer cell lines revealed that they present a simplified landscape of genes compared to tissue. Lastly, we describe the association of different genes and pathways with the clinical outcome of patients. These results can serve as a resource for future research aimed to unravel the role of the glyco-code in cancer.
AB - Changes in glycosylation patterns have been associated with malignant transformation and clinical outcomes in several cancer types, prompting ongoing research into the mechanisms involved and potential clinical applications. In this study, we performed an extensive transcriptomic analysis of glycosylation-related genes and pathways, using publicly available bulk and single cell transcriptomic datasets from tumor samples and cancer cell lines. We identified genes and pathways strongly associated with different tumor types, which may represent novel diagnostic biomarkers. By using single cell RNA-seq data, we characterized the contribution of different cell types to the overall tumor glycosylation. Transcriptomic analysis of cancer cell lines revealed that they present a simplified landscape of genes compared to tissue. Lastly, we describe the association of different genes and pathways with the clinical outcome of patients. These results can serve as a resource for future research aimed to unravel the role of the glyco-code in cancer.
KW - Biochemistry
KW - Cancer systems biology
KW - Transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85187278160&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2024.109037
DO - 10.1016/j.isci.2024.109037
M3 - Article
C2 - 38384845
SN - 2589-0042
VL - 27
JO - iScience
JF - iScience
IS - 3
M1 - 109037
ER -