POETIC clinical Trial Ki67 Bookend Breast Cancer Targeted Exome and RNAseq Project
Using RNAseq, we compare the 15% of poorest responders (PRs, n=177) as measured by proportional Ki67 changes after 2 weeks of neoadjuvant aromatase inhibitors to good responders (GRs, n=190) selected from the top 50% responders in the POETIC trial and matched for baseline Ki67 categories. In the POETIC trial, 4,480 postmenopausal women with primary ER+ BC were randomised 2:1 to receive either treatment with a non-steroidal AI (letrozole or anastrozole) for 2 weeks before and 2 weeks after surgery or to no perisurgical treatment. Only AI-treated patients with HER2- tumors, paired baseline and surgery Ki67 available, and baseline Ki67 immunohistochemistry (IHC) >10% (to minimise imprecision in proportional Ki67 falls) were included for selection. Data is baseline RNAseq and targeted exome DNA sequencing analysis of POETIC Good/Poor Responders to aromatase inhibitors based on change in Ki67.
- 365 samples
- DAC: EGAC00001003274
- Technology: Illumina NovaSeq 6000
The datasets from the POETIC clinical trial are available under restricted access for privacy and legal issues. Access to data or samples can be obtained by submission and approval of a data and sample request form to the POETIC Trial Management Group, which meets several times a year.
The datasets from the POETIC clinical trial are available under restricted access for privacy and legal issues. Access to data or samples can be obtained by submission and approval of a data and sample request form to the POETIC Trial Management Group, which meets several times a year. Please contact Dr. Maggie Cheang or Prof. Judith Bliss and request the data and sample request form. Once the form is filled out and returned, then it will be submitted to the Trial Management Group for approval. The management group meets several times per year.
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
---|---|---|
RNASeq | ||
Exome Sequencing |