Developing the risk prediction model (ProlncSig) from lipoxygenase pathway-related lncRNAs for prognosis prediction in breast cancer.

ABSTRACT: Alterations in cellular metabolism are known to play a crucial role in the development and progression of cancer. The lipoxygenase pathway, which controls unsaturated fatty acid metabolism, has been shown to regulate tumour progression and is commonly altered in breast cancer. In this study, we first obtained 11 lipoxygenase pathway genes from the Molecular Signatures Database (MSigDB). We then explored the lipoxygenase pathway-related long non-coding RNAs (lncRNAs) in breast cancer tissues from The Cancer Genome Atlas (TCGA) database. Information from our analysis was used to construct a risk prediction model (ProlncSig) to predict breast cancer prognosis. We found that ProlncSig could accurately identify breast cancer patients that had significantly shorter overall survival from those th

SUBMITTER: Fu X 

PROVIDER: S-EPMC12363528 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature