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Predicting breast cancer metastasis from whole-blood transcriptomic measurements.

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

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Predicting breast cancer metastasis from whole-blood transcriptomic measurements.

Holsbø Einar E Perduca Vittorio V Bongo Lars Ailo LA Lund Eiliv E Birmelé Etienne E

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]

PMID: 32434554

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