Predicting breast cancer metastasis from whole-blood transcriptomic measurements.
BMC Res Notes
; 13(1): 248, 2020 May 20.
Article
in En
| MEDLINE
| ID: mdl-32434554
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.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Breast Neoplasms
/
Gene Expression Profiling
/
Neoplasm Metastasis
Limits:
Female
/
Humans
/
Middle aged
Country/Region as subject:
Europa
Language:
En
Journal:
BMC Res Notes
Year:
2020
Document type:
Article
Affiliation country:
Norway