Research on Constructing a prognosis prediction Model of Breast Cancer LncRNA Based on the TCGA Database Article Swipe

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Shu-Fen Lan , Duo Zuo , Xiaoya Zhai , Jun Lin , Hong Jiang , Lisa Tan , Zhihua Wang ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.21203/rs.3.rs-7406805/v1

Breast cancer remains a leading cause of cancer-related mortality in women, with challenges in prognosis prediction and therapeutic resistance. This study aimed to identify long non-coding RNAs (lncRNAs) associated with breast cancer prognosis and construct a predictive risk model. RNA-seq data from 963 breast cancer and 110 normal tissue samples were obtained from The Cancer Genome Atlas (TCGA). Differential expression analysis revealed 1,197 dysregulated lncRNAs and 1,809 mRNAs (|log2FC| >2, p < 0.01). Univariate Cox and LASSO regression analyses identified 18 prognosis-related lncRNAs, further refined to 14 key genes via multivariate Cox regression. A risk scoring model was established based on expression levels and regression coefficients of these lncRNAs (e.g., AC093515.1, WT1-AS, LINC01224). Patients stratified into high-risk (n = 481) and low-risk (n = 482) groups showed significantly different survival outcomes (p < 0.01), with the high-risk group exhibiting elevated mortality. The model demonstrated robust predictive performance, achieving an AUC of 0.731 in ROC analysis. Notably, LINC01224, AL133467.1, and MAFA-AS1 were identified as protective factors (HR < 1), while AC093515.1, WT1-AS, and LINC00668 acted as risk factors (HR > 1). These findings provide a novel lncRNA-based prognostic tool and potential therapeutic targets for breast cancer management.

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Type: article
Language: en
Landing Page: https://doi.org/10.21203/rs.3.rs-7406805/v1
PDF: https://www.researchsquare.com/article/rs-7406805/latest.pdf
OA Status: gold
OpenAlex ID: https://openalex.org/W4414928040

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OpenAlex ID: https://openalex.org/W4414928040

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DOI: https://doi.org/10.21203/rs.3.rs-7406805/v1

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Title: Research on Constructing a prognosis prediction Model of Breast Cancer LncRNA Based on the TCGA Database

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-10-08

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Authors: Shu-Fen Lan, Duo Zuo, Xiaoya Zhai, Jun Lin, Hong Jiang, Lisa Tan, Zhihua Wang

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Landing page: https://doi.org/10.21203/rs.3.rs-7406805/v1

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