Transcriptome combined with single-cell data to construct a prognostic model for glycosylation-related genes in osteosarcoma

Ning Ding; Jinlong Li; Songbo Shi; Jizu Wang; Yi Ding; Qingshan Yang

doi:10.1007/s12672-026-04761-3

March 12, 2026Discover OncologyOpen Access

Transcriptome combined with single-cell data to construct a prognostic model for glycosylation-related genes in osteosarcoma

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Key Points

The study aims to identify prognostic genes related to glycosylation in osteosarcoma and construct predictive models for patient outcomes.
Analyzed transcriptome data alongside single-cell data
Identified prognostic genes related to glycosylation
Constructed prognostic models for osteosarcoma
Seven prognostic genes for osteosarcoma were identified
Models were effective in predicting outcomes based on these genes
Potential molecular mechanisms for treatment were explored

Implication

Combining transcriptome and single-cell data builds a prognostic model for osteosarcoma, indicating potential treatment pathways.

Abstract

we identified seven prognostic genes for OS. The prognostic models were constructed, and underlying molecular mechanisms were explored based on diagnostic genes, which served as a benchmark for OS prognosis and treatment.

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Cite This Study

Ding et al. (2026) studied this question.

synapsesocial.com/papers/69b64c9ab42794e3e660de0d https://doi.org/10.1007/s12672-026-04761-3

View Full Paper

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Transcriptome combined with single-cell data to construct a prognostic model for glycosylation-related genes in osteosarcoma

Key Points

Implication

Abstract

Discussion

Cite This Study

Transcriptome combined with single-cell data to construct a prognostic model for glycosylation-related genes in osteosarcoma

Key Points

Implication

Abstract

Discussion

Cite This Study

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