A novel prognostic model of breast cancer based on cuproptosis-related lncRNAs

Feixiang Li ^1,2, Yongyan Yang ^1,2, Xuan Zhang ^3,4

⁰Department of Anesthesiology, Tianjin Medical University General Hospital, NO.154, Anshan Road, Heping District, Tianjin, 300052, China.

Discover Oncology +

|

February 14, 2024

View abstract on PubMed

Summary

A new model using cuproptosis-related long non-coding RNAs (lncRNAs) can predict breast cancer (BC) patient outcomes. Higher risk scores indicate poorer survival but increased immunotherapy sensitivity, aiding treatment strategies.

Area Of Science

Oncology
Molecular Biology
Cell Death Research

Background

Breast cancer (BC) remains a leading cause of mortality in women globally.
Cuproptosis, a novel form of regulated cell death, and long non-coding RNAs (lncRNAs) are implicated in BC development and progression.
Identifying prognostic biomarkers is crucial for improving BC patient outcomes.

Purpose Of The Study

To develop and validate a prognostic model for breast cancer patients based on cuproptosis-related lncRNAs.
To assess the model's ability to predict overall survival (OS) and progression-free survival (PFS).
To investigate the relationship between the risk score and tumor immune microenvironment characteristics, including tumor mutation burden (TMB) and immunotherapy response.

Main Methods

Clinical and lncRNA expression data for breast cancer patients were obtained from The Cancer Genome Atlas (TCGA).
A prognostic model was constructed using nine cuproptosis-related lncRNAs identified via Cox regression and the Least Absolute Shrinkage and Selector Operation (LASSO) algorithm.
Model performance was validated using survival analyses (OS, PFS) and receiver operating characteristic (ROC) curves. Immune function, TMB, and TIDE scores were analyzed.

Main Results

A novel prognostic model based on nine cuproptosis-related lncRNAs was successfully established for breast cancer.
Patients with higher risk scores exhibited significantly lower OS and PFS.
Elevated risk scores correlated with increased tumor mutation burden (TMB) and enhanced sensitivity to immunotherapy.

Conclusions

The developed cuproptosis-related lncRNA model shows potential for predicting breast cancer prognosis.
This model may aid in improving overall survival (OS) for breast cancer patients.
The findings highlight the role of cuproptosis-related lncRNAs in BC and their association with immune characteristics.

Keywords:

Bioinformatics Breast cancer Cuproptosis Prognostic model lncRNAs

Related Concept Videos

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...