ArticlePeerJ2021
Hallmarks of glycogene expression and glycosylation pathways in squamous and adenocarcinoma cervical cancer.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Identification of drug responsible glycogene signature in liver carcinoma from meta-analysis using RNA-seq data.Glycoconjugate journal · 2024Pooled it
- Analysis of Lacto/Neolacto-Series Glycolipids and Gangliosides.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Role ofBiomedical reports · 2024Review
- Article
- Radiomics-based machine learning models for differentiating pathological subtypes in cervical cancer: a multicenter study.Frontiers in oncology · 2024Article
- Molecular aspects of cervical cancer: a pathogenesis update.Frontiers in oncology · 2024Review
- Review
- Prediction of the immunological and prognostic value of five signatures related to fatty acid metabolism in patients with cervical cancer.Frontiers in oncology · 2022Article
- Bridging Glycomics and Genomics: New Uses of Functional Genetics in the Study of Cellular Glycosylation.Frontiers in molecular biosciences · 2022Review
- Tn-Glycoconjugates engage MGL2 to potentiate TLR9-mediated dendritic cell maturation and Th1-skewed immune responses.Innate immunityArticle
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDysregulation of glycogene expression in cancer can lead to aberrant glycan expression, which can promote tumorigenesis. Cervical cancer (CC) displays an increased expression of glycogenes involved in sialylation and sialylated glycans. Here, we show a comprehensive analysis of glycogene expression in CC to identify glycogene expression signatures and the possible glycosylation pathways altered.
methodsFirst, we performed a microarray expression assay to compare glycogene expression changes between normal and cervical cancer tissues. Second, we used 401 glycogenes to analyze glycogene expression in adenocarcinoma and squamous carcinoma from RNA-seq data at the cBioPortal for Cancer Genomics.
resultsThe analysis of the microarray expression assay indicated that CC displayed an increase in glycogenes related to GPI-anchored biosynthesis and a decrease in genes associated with chondroitin and dermatan sulfate with respect to normal tissue. Also, the glycogene analysis of CC samples by the RNA-seq showed that the glycogenes involved in the chondroitin and dermatan sulfate pathway were downregulated. Interestingly the adenocarcinoma tumors displayed a unique glycogene expression signature compared to squamous cancer that shows heterogeneous glycogene expression divided into six types. Squamous carcinoma type 5 (SCC-5) showed increased expression of genes implicated in keratan and heparan sulfate synthesis, glycosaminoglycan degradation, ganglio, and globo glycosphingolipid synthesis was related to poorly differentiated tumors and poor survival. Squamous carcinoma type 6 (SCC-6) displayed an increased expression of genes involved in chondroitin/dermatan sulfate synthesis and lacto and neolacto glycosphingolipid synthesis and was associated with nonkeratinizing squamous cancer and good survival. In summary, our study showed that CC tumors are not a uniform entity, and their glycome signatures could be related to different clinicopathological characteristics.
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