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Dataset Information

Subtyping of sarcomas based on pathway enrichment scores in bulk and single cell transcriptomes.


ABSTRACT:

Background

Sarcomas are highly heterogeneous in molecular, pathologic, and clinical features. However, a classification of sarcomas by integrating different types of pathways remains mostly unexplored.

Methods

We performed hierarchical clustering analysis of sarcomas based on the enrichment scores of 14 pathways involved in immune, stromal, DNA damage repair (DDR), and oncogenic signatures in three bulk tumor transcriptome datasets.

Results

Consistently in the three datasets, sarcomas were classified into three subtypes: Immune Class (Imm-C), Stromal Class (Str-C), and DDR Class (DDR-C). Imm-C had the strongest anti-tumor immune signatures and the lowest intratumor heterogeneity (ITH); Str-C showed the strongest stromal signatures, the highest genomic stability and gl

SUBMITTER: Li S 

PROVIDER: S-EPMC8800234 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature