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Dataset Information

Identification of m5C-related molecular subtypes and prediction models in the prognosis and tumor microenvironment infiltration of soft tissue sarcoma.


ABSTRACT:

Background

The epigenetic regulator in cancer progression and immune response has been demonstrated recently. However, the potential implications of 5-methylcytosine (m5C) in soft tissue sarcoma (STS) are unclear.

Methods

The RNA sequence profile of 911 normal and 259 primary STS tissues were obtained from GTEx and TCGA databases, respectively. We systematically analyzed the m5C modification patterns of STS samples based on 11 m5C regulators, and comprehensively correlated these modification patterns with clinical characteristics, prognosis, and tumor microenvironment (TME) cell-infiltrating. Furthermore, an m5C-related signature was generated using Cox proportional hazard model and validated by the GSE17118 cohort.

Results

SUBMITTER: Wang X 

PROVIDER: S-EPMC10558950 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature