Prognostic Biomarkers in Breast Cancer via Multi-Omics Clustering Analysis.

• Tác giả: Andrea Aroldi, Stefania Canova, Serena Capici, Marina Elena Cazzaniga, Nicoletta Cordani, Diego Luigi Cortinovis, Federica Malighetti, Luca Mologni, Sara Pelucchi, Daniele Ramazzotti, Alberto Maria Villa, Matteo Villa
• Ngôn ngữ: eng
• Ký hiệu phân loại: 149.73 Skepticism
• Thông tin xuất bản: Switzerland : International journal of molecular sciences , 2025
• Bộ sưu tập: NCBI
• ID: 705498

Tóm tắt

Breast cancer (BC) is a highly heterogeneous disease with diverse molecular subtypes, which complicates prognosis and treatment. In this study, we performed a multi-omics clustering analysis using the Cancer Integration via MultIkernel LeaRning (CIMLR) method on a large BC dataset from The Cancer Genome Atlas (TCGA) to identify key prognostic biomarkers. We identified three genes-