Cuproptosis-associated ncRNAs predict breast cancer subtypes

Cuproptosis is a novel copper-dependent mode of cell death that has recently been discovered. The relationship between Cuproptosis-related ncRNAs and breast cancer subtypes, however, remains to be studied. The aim of this study was to construct a breast cancer subtype prediction model associated wit...

Full description

Saved in:
Bibliographic Details
Published inPloS one Vol. 19; no. 2; p. e0299138
Main Authors Xia, Qing, Shen, Jinze, Wang, Qurui, Chen, Ruixiu, Zheng, Xinying, Yan, Qibin, Du, Lihua, Li, Hanbing, Duan, Shiwei
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 26.02.2024
Public Library of Science (PLoS)
Subjects
Algorithms
Analysis
Apoptosis
Biology and life sciences
Breast cancer
Breast Neoplasms - genetics
Cell Death
Copper
Diagnosis
Female
Forecasts and trends
Genes
Genetic aspects
Humans
Medicine and Health Sciences
Pharmaceutical industry
Physical Sciences
Research and Analysis Methods
RNA
RNA, Untranslated - genetics
China
United States
Switzerland
Online AccessGet full text

Cover

More Information
Summary:Cuproptosis is a novel copper-dependent mode of cell death that has recently been discovered. The relationship between Cuproptosis-related ncRNAs and breast cancer subtypes, however, remains to be studied. The aim of this study was to construct a breast cancer subtype prediction model associated with Cuproptosis. This model could be used to determine the subtype of breast cancer patients. To achieve this aim, 21 Cuproptosis-related genes were obtained from published articles and correlation analysis was performed with ncRNAs differentially expressed in breast cancer. Random forest algorithms were subsequently utilized to select important ncRNAs and build breast cancer subtype prediction models. A total of 94 ncRNAs significantly associated with Cuproptosis were obtained and the top five essential features were chosen to build a predictive model. These five biomarkers were differentially expressed in the five breast cancer subtypes and were closely associated with immune infiltration, RNA modification, and angiogenesis. The random forest model constructed based on Cuproptosis-related ncRNAs was able to accurately predict breast cancer subtypes, providing a new direction for the study of clinical therapeutic targets.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: The authors have declared that no competing interest exists.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0299138