Dataset Information
Predicting breast cancer metastasis from whole-blood transcriptomic measurements.
Ontology highlight
ABSTRACT: Objective
In this exploratory work we investigate whether blood gene expression measurements predict breast cancer metastasis. Early detection of increased metastatic risk could potentially be life-saving. Our data comes from the Norwegian Women and Cancer epidemiological cohort study. The women who contributed to these data provided a blood sample up to a year before receiving a breast cancer diagnosis. We estimate a penalized maximum likelihood logistic regression. We evaluate this in terms of calibration, concordance probability, and stability, all of which we estimate by the bootstrap.Results
We identify a set of 108 candidate predictor genes that exhibit a fold change in average metastasized observation where there is none for the average non-metastasized observation.
SUBMITTER: Holsbo E
PROVIDER: S-EPMC7238609 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Publications
Predicting breast cancer metastasis from whole-blood transcriptomic measurements.
BMC research notes 20200520 1
<h4>Objective</h4>In this exploratory work we investigate whether blood gene expression measurements predict breast cancer metastasis. Early detection of increased metastatic risk could potentially be life-saving. Our data comes from the Norwegian Women and Cancer epidemiological cohort study. The women who contributed to these data provided a blood sample up to a year before receiving a breast cancer diagnosis. We estimate a penalized maximum likelihood logistic regression. We evaluate this in ...[more]
