Genomics

Dataset Information

0

NOWAC blood-based breast cancer case-control study


ABSTRACT: Tumor-host interactions extend beyond the local microenvironment and cancer development largely depends on the ability of malignant cells to hijack and exploit the normal physiological processes of the host. Although abnormalities in a host’s systemic immunity are associated with increased cancer susceptibility, the functional interplay between tumor cells and circulating immune cells in regulating tumorigenic responses is unclear. We employed the Norwegian Women and Cancer study, a large prospective population-based cohort study, to identify gene expression changes in blood cells that provide a robust and reproducible diagnostic signal specific to breast cancer patients. We further show that circulating blood cells in breast cancer patients are enriched in genes involved in systemic immunosuppression and the motility, metabolism, growth, and proliferation of immune cells. By mining of the cancer-associated blood transcriptome, we identified immune mediators or biomarkers that could permit early detection of breast cancer and open avenues to novel targeted immunotherapies.

PROVIDER: EGAS00000000134 | EGA |

REPOSITORIES: EGA

altmetric image

Publications

Peripheral blood cells inform on the presence of breast cancer: a population-based case-control study.

Dumeaux Vanessa V   Ursini-Siegel Josie J   Flatberg Arnar A   Fjosne Hans E HE   Frantzen Jan-Ole JO   Holmen Marit Muri MM   Rodegerdts Enno E   Schlichting Ellen E   Lund Eiliv E  

International journal of cancer 20140625 3


Tumor-host interactions extend beyond the local microenvironment and cancer development largely depends on the ability of malignant cells to hijack and exploit the normal physiological processes of the host. Here, we established that many genes within peripheral blood cells show differential expression when an untreated breast cancer (BC) is present, and harnessed this fact to construct a 50-gene signature that distinguish BC patients from population-based controls. Our results were derived from  ...[more]

Similar Datasets

2024-09-02 | BIOMD0000000642 | BioModels
2013-04-24 | GSE46355 | GEO
2012-07-17 | E-GEOD-37828 | biostudies-arrayexpress
2012-04-11 | E-GEOD-31364 | biostudies-arrayexpress
2023-12-31 | GSE237100 | GEO
2013-08-01 | E-GEOD-46925 | biostudies-arrayexpress
2014-02-03 | E-MTAB-2136 | biostudies-arrayexpress
2020-06-11 | GSE137789 | GEO
2013-12-12 | E-GEOD-53179 | biostudies-arrayexpress
2012-07-17 | E-GEOD-37975 | biostudies-arrayexpress