A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes
Purpose: The biological subtypes of breast cancer designated as Luminal A, Luminal B, HER2+/ER-, and Basal-like are clinically important for prognosis and planning treatment strategies. Recognizing that there is a continuum in both the spectrum of breast cancer disease and the risk of survival, we sought to develop a clinical test for the biological subtypes using a supervised risk classier.Methods: Microarray and real-time quantitative RT-PCR (qRT-PCR) data from 189 samples, procured as fresh-f...
Provenance — who produced it, who reused it
Linked to 7 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Prognostic Significance of Progesterone Receptor–Positive Tumor... 2012 · 589 cites
- Wnt signaling in triple negative breast cancer is associated wit... 2013 · 251 cites
- Development and validation of a hypoxia‑related prognostic signa... 2020 · 73 cites
- Molecular subtyping for clinically defined breast cancer subgrou... 2015 · 73 cites
3 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently