ArticleJournal of clinical laboratory analysis2022
A novel prognostic model associated with the overall survival in patients with breast cancer based on lipid metabolism-related long noncoding RNAs.
Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 23 citations in OpenAlex.
- Lipid Metabolism, Lipogenesis, and Resistance to Third Generation EGFR-TKIs.Journal of clinical laboratory analysis · 2026Review
- [Construction of a prognosis forecasting model for breast cancer based on lipid metabolism-related genes and functional verification ofZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026Article
- A coagulation-related long non-coding RNA signature to predict prognosis and immune features of breast cancer.Discover oncology · 2025Article
- Construction of a prognostic model based on palmitoylation-related lncRNAs for assessing drug benefits in breast cancer.Frontiers in immunology · 2025Article
- A Novel Disulfidptosis-related lncRNAs Prognostic Signature for Prognosis Predicting and Immune Microenvironment Characterization in Breast Cancer.Current medicinal chemistry · 2025Article
- OTUD6B-AS1: a multifaceted regulator of cancer with critical clinical implications.American journal of cancer research · 2025Review
- Disulfidptosis-related lncRNA signature to assess the immune microenvironment and drug sensitivity in acute myeloid leukemia.Scientific reports · 2024Article
- The metabolism-related lncRNA signature predicts the prognosis of breast cancer patients.Scientific reports · 2024Article
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- Identification of a cuproptosis-related lncRNA prognostic signature in lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Article
- T2DB: A Web Database for Long Non-Coding RNA Genes in Type II Diabetes.Non-coding RNA · 2023Article
- Characterization and Prognosis of Biological Microenvironment in Lung Adenocarcinoma through a Disulfidptosis-Related lncRNAs Signature.Genetics research · 2023Article
- Regulatory Role of Fatty Acid Metabolism-Related Long Noncoding RNA in Prostate Cancer: A Computational Biology Study Analysis.Journal of oncology · 2023Article
- Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape characterization.Frontiers in endocrinology · 2023Article
- The current advances of lncRNAs in breast cancer immunobiology research.Frontiers in immunology · 2023Review
- Cuproptosis-related lncRNAs potentially predict prognosis and therapy sensitivity of breast cancer.Frontiers in pharmacology · 2023Article
- An exosome-related long non-coding RNAs risk model could predict survival outcomes in patients with breast cancer.Scientific reports · 2022Article
- A novel prognostic signature for lung adenocarcinoma based on cuproptosis-related lncRNAs: A Review.Medicine · 2022Review
- A novel prognostic model associated with the overall survival in patients with breast cancer based on lipid metabolism-related long noncoding RNAs.Journal of clinical laboratory analysis · 2022Article
- Identifying diagnostic markers and constructing a prognostic model for small-cell lung cancer based on blood exosome-related genes and machine-learning methods.Frontiers in oncology · 2022Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLipid metabolism is closely related to the occurrence and development of breast cancer. Our purpose was to establish a novel model based on lipid metabolism-related long noncoding RNAs (lncRNAs) and evaluate the potential clinical value in predicting prognosis for patients suffering from breast cancer.
methodsRNA data and clinical information for breast cancer were obtained from the cancer genome atlas (TCGA) database. Lipid metabolism-related lncRNAs were identified via the criteria of correlation coefficient |R
resultsA total of 14 lncRNAs were identified as protective genes (AC022150.4, AC061992.1, AC090948.3, AC092794.1, AC107464.3, AL021707.8, AL451085.2, AL606834.2, FLJ42351, LINC00926, LINC01871, TNFRSF14-AS1, U73166.1 and USP30-AS1) with HRs < 1 while 10 lncRNAs (AC022150.2, AC090948.1, AC243960.1, AL021707.6, ITGB2-AS1, OTUD6B-AS1, SP2-AS1, TOLLIP-AS1, Z68871.1 and ZNF337-AS1) were associated with increased risk with HRs >1. A total of 24 prognostic lncRNAs were selected to construct the model. The patients in low-risk group were associated with better prognosis in both training set (p < 0.001) and validation set (p < 0.001). The univariate and multivariate Cox regression analyses revealed that risk score was an independent prognostic factors in both training set (p < 0.001) and validation set (p < 0.001). GO and GSEA analyses revealed that these lncRNAs were related to metabolism-related signal pathway and immune cells signal pathway. Risk score was negatively correlated with B cells (r = -0.097, p = 0.002), NK cells (r = -0.097, p = 0.002), Plasma cells (r = -0.111, p = 3.329e-04), T-cells CD4 (r = -0.064, p = 0.039) and T-cells CD8 (r = -0.322, p = 2.357e-26) and positively correlated with Dendritic cells (r = 0.077, p = 0.013) and Monocytes (r = 0.228, p = 1.107e-13).
conclusionThe prognostic model based on lipid metabolism lncRNAs possessed an important value in survival prediction of breast cancer patients.
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