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Dataset Information

Identifying functional cuproptosis-related long non-coding RNAs in patients with bladder cancer.


ABSTRACT:

Background

Bladder cancer is the most common malignancy of the urinary tract and one of the most common cancers in the world. Cuproptosis is a novel type of cell death associated with tumorigenesis. In this study, we assessed the correlation between cuproptosis-related genes and tumorigenesis. Moreover, we constructed a prognostic signature.

Methods

Pearson correlation analysis and univariate Cox regression were utilized to extract cuproptosis-related long non-coding RNAs (lncRNAs) predicting prognosis in The Cancer Genome Atlas (TCGA) database. The least absolute shrinkage and selection operator (LASSO) Cox regression was utilized to establish a cuproptosizs-related prognostic signature. A nomogram signature was generated to predict individual survival.

Results

We ob

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11543048 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature