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Dataset Information

Multi-omics characterization and validation of invasiveness-related molecular features across multiple cancer types.


ABSTRACT:

Background

Tumor invasiveness reflects many biological changes associated with tumorigenesis, progression, metastasis, and drug resistance. Therefore, we performed a systematic assessment of invasiveness-related molecular features across multiple human cancers.

Materials and methods

Multi-omics data, including gene expression, miRNA, DNA methylation, and somatic mutation, in approximately 10,000 patients across 30 cancer types from The Cancer Genome Atlas, Gene Expression Omnibus, PRECOG, and our institution were enrolled in this study.

Results

Based on a robust gene signature, we established an invasiveness score and found that the score was significantly associated with worse prognosis in almost all cancers. Then, we identified common invasiveness-associated dysregu

SUBMITTER: Bi G 

PROVIDER: S-EPMC7995758 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature