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Dataset Information

Comprehensive genomic analysis of adrenocortical carcinoma reveals genetic profiles associated with patient survival.


ABSTRACT:

Background

Adrenocortical carcinoma (ACC) is one of the most lethal endocrine malignancies and there is a lack of clinically useful markers for prognosis and patient stratification. Therefore our aim was to identify clinical and genetic markers that predict outcome in patients with ACC.

Methods

Clinical and genetic data from a total of 162 patients with ACC were analyzed by combining an independent cohort consisting of tumors from Yale School of Medicine, Karolinska Institutet, and Düsseldorf University (YKD) with two public databases [The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO)]. We used a novel bioinformatical pipeline combining differential expression and messenger RNA (mRNA)- and DNA-dependent survival. Data included reanalysis of previously conducte

SUBMITTER: Sun-Zhang A 

PROVIDER: S-EPMC11260375 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature