OSBREAC (Oslo Breast Cancer Research Consortium) - EGA European Genome-Phenome Archive

Dac ID	Contact Person	Email	Access Information
EGAC00001001186	Kristine Kleivi Sahlberg	kristine [dot] sahlberg [at] vestreviken [dot] no	No additional information is available

Dataset ID	Description	Technology	Samples
EGAD00001004985	In this study we use expression data from breast cancer tumors to define immune clusters in breast cancer. Immune clusters have gradual levels of immune infiltration. In the intermediate immune infiltration cluster, we found a worse prognosis which is independent of known clinicopathological features. We also found the immune clusters associated with treatment response. Further using gene expression data and deconvolution algorithms to dissect the immune contexture of the clusters.	NextSeq 500	97

Dataset ID

Description

Technology

Samples

EGAD00001004985

In this study we use expression data from breast cancer tumors to define immune clusters in breast cancer. Immune clusters have gradual levels of immune infiltration. In the intermediate immune infiltration cluster, we found a worse prognosis which is independent of known clinicopathological features. We also found the immune clusters associated with treatment response. Further using gene expression data and deconvolution algorithms to dissect the immune contexture of the clusters.

NextSeq 500

DAC

This DAC controls 1 dataset:

The European Genome-phenome Archive (EGA) is part of the ELIXIR infrastructure.