Ontology highlight
ABSTRACT: Purpose
This study aimed to conduct functional proteomics across breast cancer subtypes with bioinformatics analyses.Methods
Candidate proteins were identified using nanoscale liquid chromatography with tandem mass spectrometry (NanoLC-MS/MS) from core needle biopsy samples of early stage (0-III) breast cancers, followed by external validation with public domain gene-expression datasets (TCGA TARGET GTEx and TCGA BRCA).Results
Seventeen proteins demonstrated significantly differential expression and protein-protein interaction (PPI) found the strong networks including COL2A1, COL11A1, COL6A1, COL6A2, THBS1 and LUM. Public domain databases also showed that COL2A1, COL11A1, COL6A1, COL6A2 and LUM were higher in primary/metastatic tum
SUBMITTER: Ku WC
PROVIDER: S-EPMC12414843 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature