GGI: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial
Background: We have previously shown that the Gene expression Grade Index (GGI) was able to identify two subtypes of estrogen receptor (ER)-positive tumors that were associated with statistically distinct clinical outcomes in both untreated and tamoxifen-treated patients. Here, we aim to investigate the ability of the GGI to predict relapses in postmenopausal women who were treated with tamoxifen (T) or letrozole (L) within the BIG 1-98 trial. Methods: We generated gene expression profiles (Affy...
Provenance — who produced it, who reused it
Linked to 22 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.
- Survival analysis across the entire transcriptome identifies bio... 2021 · 1,740 cites
- Amplification and high-level expression of heat shock protein 90... 2012 · 183 cites
- Downregulation of long noncoding RNA MALAT1 induces epithelial-t... 2015 · 151 cites
- BreastMark: An Integrated Approach to Mining Publicly Available... 2013 · 143 cites
- Mitohormesis Primes Tumor Invasion and Metastasis 2019 · 94 cites
- The Lineage Determining Factor GRHL2 Collaborates with FOXA1 to... 2019 · 92 cites
- Reprogramming of Amino Acid Transporters to Support Aspartate an... 2019 · 83 cites
15 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
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently