Dataset Information

Molecular characterization of breast cancer: a potential novel immune-related lncRNAs signature.

ABSTRACT:

Background

Accumulating evidence has demonstrated that immune-related lncRNAs (IRLs) are commonly aberrantly expressed in breast cancer (BC). Thus, we aimed to establish an IRL-based tool to improve prognosis prediction in BC patients.

Methods

We obtained IRL expression profiles in large BC cohorts (N = 911) from The Cancer Genome Atlas (TCGA) database. Then, in light of the correlation between each IRL and recurrence-free survival (RFS), we screened prognostic IRL signatures to construct a novel RFS nomogram via a Cox regression model. Subsequently, the performance of the IRL-based model was evaluated through discrimination, calibration ability, risk stratification ability and decision curve analysis (DCA).

Results

A total of 52 IRLs were obtained from TCGA. Based on multivariate Cox regression analyses, four IRLs (A1BG-AS1, AC004477.3, AC004585.1 and AC004854.2) and two risk parameters (tumor subtype and TNM stage) were utilized as independent indicators to develop a novel prognostic model. In terms of predictive accuracy, the IRL-based model was distinctly superior to the TNM staging system (AUC: 0.728 VS 0.673, P = 0.010). DCA indicated that our nomogram had favorable clinical practicability. In addition, risk stratification analysis showed that the IRL-based tool efficiently divided BC patients into high- and low-risk groups (P < 0.001).

Conclusions

A novel IRL-based model was constructed to predict the risk of 5-year RFS in BC. Our model can improve the predictive power of the TNM staging system and identify high-risk patients with tumor recurrence to implement more appropriate treatment strategies.

SUBMITTER: Lai J

PROVIDER: S-EPMC7648293 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Publications

Molecular characterization of breast cancer: a potential novel immune-related lncRNAs signature.

Lai Jianguo J Chen Bo B Zhang Guochun G Li Xuerui X Mok Hsiaopei H Liao Ning N

Journal of translational medicine 20201107 1

<h4>Background</h4>Accumulating evidence has demonstrated that immune-related lncRNAs (IRLs) are commonly aberrantly expressed in breast cancer (BC). Thus, we aimed to establish an IRL-based tool to improve prognosis prediction in BC patients.<h4>Methods</h4>We obtained IRL expression profiles in large BC cohorts (N = 911) from The Cancer Genome Atlas (TCGA) database. Then, in light of the correlation between each IRL and recurrence-free survival (RFS), we screened prognostic IRL signatures to c ...[more]

PMID: 33160384

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Dataset Information

Molecular characterization of breast cancer: a potential novel immune-related lncRNAs signature.

Background

Methods

Results

Conclusions

Publications

Molecular characterization of breast cancer: a potential novel immune-related lncRNAs signature.

Similar Datasets

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