Dataset: Response prediction to neoadjuvant chemotherapy
We investigated whether we could identify gene expression profiles in initial core biopsies of breast cancer samples that would permit to...
We investigated whether we could identify gene expression profiles in initial core biopsies of breast cancer samples that would permit to a) predict a clinically meaningful response to Epi/Doc in terms of tumor size reduction, b) predict a profound reduction in intratumoral Ki67 protein expression, and c) predict an in vitro response to Epi/Doc in the ATP-TCA. 22 Samples from breast cancer patients with corresponding treatment response indicators
- Species:
- human
- Samples:
- 22
- Source:
- E-GEOD-29561
- Updated:
- Dec.12, 2014
- Registered:
- Jun.18, 2014
Factors:
(via ArrayExpress)
Sample | KI67 REDUCTION | TREATMENT RESPONSE IN VITRO |
---|---|---|
GSM731880 | 1 | NA |
GSM731879 | not specified | NA |
GSM731878 | not specified | not specified |
GSM731878 | not specified | not specified |
GSM731876 | 1 | 1 |
GSM731878 | not specified | not specified |
GSM731874 | NA | not specified |
GSM731874 | NA | not specified |
GSM731872 | NA | 1 |
GSM731876 | 1 | 1 |
GSM731876 | 1 | 1 |
GSM731879 | not specified | NA |
GSM731879 | not specified | NA |
GSM731880 | 1 | NA |
GSM731879 | not specified | NA |
GSM731880 | 1 | NA |
GSM731878 | not specified | not specified |
GSM731863 | not specified | 1 |
GSM731880 | 1 | NA |
GSM731879 | not specified | NA |
GSM731879 | not specified | NA |
GSM731879 | not specified | NA |