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I-SPY Data

Widely hailed as the future of phase II drug development, the adaptive I-SPY2 platform trial has set a new benchmark for efficiency, through innovation in trial design and clinical operations.

I-SPY990 Data Resource
The I-SPY-990 data resource contains gene expression, protein/phospho-protein and clinical data for the first 990 patients enrolled in I-SPY2 across nine experimental treatment arms (plus the control arm). All patients have pre-treatment full transcriptome gene expression data assayed on Agilent 44K (GPL16233; n=333) or 32K (GPL20078; n=654) microarrays, which has been normalized and combined over the two array types into a single dataset of 19,134 genes from 987 patients. 736 patients (all arms except ganitumab and ganetespib) have normalized LCM-RPPA data combined across 3 arrays for 140 proteins and phospho-proteins representing key signaling proteins and drug targets in cancer pathways including cell cycle, AKT/mTOR, immune, receptor tyrosine kinases, and others. Clinical data includes HR, HER2 and MP status, response (pCR or no pCR), and treatment arm.  The ISPY2-990 Data Resource will be made publicly available in NCBI's Gene Expression Omnibus (GEO) repository.

The data was made available upon publication of the following manuscript:
Redefining breast cancer subtypes to guide treatment prioritization and maximize response: predictive biomarkers across 9 targeted therapies
Denise M Wolf, et al. Cancer Cell 40(6), 609-623 e6, 2022.

Raw and processed transcriptomic data

Gene Expression Omnibus (GEO) SubSeries GSE194040 (mRNA), (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE194040, as part of the SuperSeries GSE196096 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196096 )

Raw and processed RPPA data

Gene Expression Omnibus (GEO) SubSeries GSE196093 (RPPA) (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196093, as part of the SuperSeries GSE196096 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196096 );

Patient-level expression signature and clinical data

Gene Expression Omnibus (GEO) SuperSeries GSE196096 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc= GSE196096 )