Associations of Breast Cancer Risk Prediction Tools With Tumor Characteristics and Metastasis | Zendy

Johanna Holm | Zendy; Jingmei Li | Zendy; Hatef Darabi | Zendy; Martin Eklund | Zendy; Mikael Eriksson | Zendy; Keith Humphreys | Zendy; Per Hall | Zendy; Kamila Czene | Zendy

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Associations of Breast Cancer Risk Prediction Tools With Tumor Characteristics and Metastasis

Author(s) -

Johanna Holm,

Jingmei Li,

Hatef Darabi,

Martin Eklund,

Mikael Eriksson,

Keith Humphreys,

Per Hall,

Kamila Czene

Publication year - 2015

Publication title -

journal of clinical oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 10.482

H-Index - 548

eISSN - 1527-7755

pISSN - 0732-183X

DOI - 10.1200/jco.2015.63.0624

Subject(s) - medicine , breast cancer , oncology , hazard ratio , estrogen receptor , proportional hazards model , disease , cohort , metastasis , population , logistic regression , cancer , gynecology , confidence interval , environmental health

The association between established risk factors for breast cancer and subtypes or prognosis of the disease is not well known. We analyzed whether the Tyrer-Cuzick-predicted 10-year breast cancer risk score (TCRS), mammographic density (MD), and a 77-single nucleotide polymorphism polygenic risk score (PRS) were associated with breast cancer tumor prognosticators and risk of distant metastasis.

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