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Dataset Information

Identification and validation of a novel prognostic signature and key genes related to development of anaplastic thyroid carcinoma.


ABSTRACT:

Background

Anaplastic thyroid carcinoma (ATC) is a rare but the most aggressive type of thyroid carcinoma. Nevertheless, limited advances were made to reduce mortality and improve survival over the last decades. Therefore, identifying novel diagnostic biomarkers and therapeutic targets for ATC patients is still needed.

Materials and methods

RNA sequencing data and corresponding clinical features were available from GEO and TCGA databases. We integrated WGCNA and PPI network analysis to identify hub genes associated with ATC development, and RT-qPCR was employed for data verification. Univariate and LASSO Cox regression analyses were used to generate prognostic signatures.

Results

Based on PPI and WGCNA, 6 hub genes were identified, namely KIF2C, PBK, TOP2A, CDK1, KIF2

SUBMITTER: Qian K 

PROVIDER: S-EPMC11576696 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature