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Series GSE11121 Query DataSets for GSE11121
Status Public on Jul 01, 2008
Title The humoral immune system has a key prognostic impact in node-negative breast cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Estrogen receptor (ER) expression and proliferative activity are established prognostic factors in breast cancer. In a search for additional prognostic motives we analyzed the gene expression patterns of 200 tumors of patients who were not treated by systemic therapy after surgery using a discovery approach. After performing hierarchical cluster analysis, we identified co-regulated genes related to the biological process of proliferation, steroid hormone receptor expression, as well as B cell and T cell infiltration. We calculated metagenes as surrogate for all genes contained within a particular cluster and visualized the relative expression in relation to time to metastasis with principal component analysis. Distinct patterns led to the hypothesis of a prognostic role of the immune system in tumors with high expression of proliferation associated genes. In multivariate Cox regression analysis the proliferation metagene showed a significant association with metastasis-free survival of the whole discovery cohort (Hazard Ratio (HR) 2.20, 95% confidence interval (CI) 1.40-3.46). The B cell metagene showed additional independent prognostic information in carcinomas with high proliferative activity (HR 0.66, 95% CI 0.46 - 0.97). A prognostic influence of the B-cell metagene was independently confirmed by multivariate analysis in a first validation cohort enriched for high grade tumors (n=286, HR 0.78, 95% CI 0.62-0.98), and a second validation cohort enriched for younger patients (n=302, HR 0.83, 95% CI 0.7-0.97). Thus, we could demonstrate in three cohorts of untreated node-negative breast cancer patients, that the humoral immune system plays a pivotal role for metastasis-free survival of carcinomas of the breast.
Keywords: disease state analysis
 
Overall design Population based N0 untreated breast cancer cohort study including 200 samples
 
Contributor(s) Schmidt M, Böhm D, von Törne C, Steiner E, Puhl A, Pilch H, Lehr H, Hengstler JG, Kölbl H, Gehrmann M
Citation(s) 18593943, 25485508, 20500820, 33003293
Submission date Apr 10, 2008
Last update date Nov 02, 2020
Contact name Mathias Gehrmann
E-mail(s) mathias.gehrmann@bayer.com
Phone +49-214-30-49539
Fax +49-214-30-50698
Organization name Bayer Technology Services GmbH
Department BTS-PT-AS-AT
Street address Kaiser-Wilhelm-Allee
City Leverkusen
ZIP/Postal code 51368
Country Germany
 
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (200)
GSM282373 BC6001_r: Mainz_N0_untreated_frozen _001
GSM282374 BC6002_r: Mainz_N0_untreated_frozen _002
GSM282375 BC6003_r: Mainz_N0_untreated_frozen _003
Relations
BioProject PRJNA106901

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE11121_RAW.tar 659.6 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table
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