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Dataset Information

Prognostic and predictive value of super-enhancer-derived signatures for survival and lung metastasis in osteosarcoma.


ABSTRACT:

Background

Risk stratification and personalized care are crucial in managing osteosarcoma due to its complexity and heterogeneity. However, current prognostic prediction using clinical variables has limited accuracy. Thus, this study aimed to explore potential molecular biomarkers to improve prognostic assessment.

Methods

High-throughput inhibitor screening of 150 compounds with broad targeting properties was performed and indicated a direction towards super-enhancers (SEs). Bulk RNA-seq, scRNA-seq, and immunohistochemistry (IHC) were used to investigate SE-associated gene expression profiles in osteosarcoma cells and patient tissue specimens. Data of 212 osteosarcoma patients who received standard treatment were collected and randomized into training and validation groups f

SUBMITTER: Huang G 

PROVIDER: S-EPMC10801997 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature