Node properties of biomarkers within the protein–protein interaction network derived from breast cancer-associated genes
Takanori Sasaki, Saito Torii · 2026
Read Node properties of biomarkers within the protein–protein interaction network derived from breast cancer-associated genes by Takanori Sasaki, Saito Torii (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0347551.txt.
Description
Takanori Sasaki and Saito Torii hunt for what makes a breast cancer gene a good warning marker by studying its place in the protein interaction web. Genes already used in clinical test panels serve as the gold standard. Their 2026 study builds webs from the two thousand genes most tied to the disease and ranks every protein by a dozen measures of network importance.
One measure, based on membership in tight protein cliques, caught the most proven markers. High scorers clustered in cell-division machinery, were strongly conserved through evolution, and liked forming complexes. Applying that lens surfaced eleven fresh candidate markers. Network position, it turns out, can flag which genes deserve a closer look as tests.
Catalog record
| CREATOR | Takanori Sasaki, Saito Torii |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44169 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |