Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative | Zendy

Christian Brueffer | Zendy; Johan VallonChristersson | Zendy; Dorthe Grabau | Zendy; Anna Ehinger | Zendy; Jari Häkkinen | Zendy; Cecilia Hegardt | Zendy; Janne Malina | Zendy; Yilun Chen | Zendy; PärOla Bendahl | Zendy; Jonas Manjer | Zendy; Martin Malmberg | Zendy; Christer Larsson | Zendy; Niklas Loman | Zendy; Lisa Rydén | Zendy; Åke Borg | Zendy; Lao H. Saal | Zendy

Open Access

Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative

Author(s) -

Christian Brueffer,

Johan VallonChristersson,

Dorthe Grabau,

Anna Ehinger,

Jari Häkkinen,

Cecilia Hegardt,

Janne Malina,

Yilun Chen,

PärOla Bendahl,

Jonas Manjer,

Martin Malmberg,

Christer Larsson,

Niklas Loman,

Lisa Rydén,

Åke Borg,

Lao H. Saal

Publication year - 2018

Publication title -

jco precision oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.405

H-Index - 22

ISSN - 2473-4284

DOI - 10.1200/po.17.00135

Subject(s) - concordance , breast cancer , histopathology , hazard ratio , medicine , oncology , estrogen receptor , proportional hazards model , population , prospective cohort study , cancer , gynecology , pathology , confidence interval , environmental health

In early breast cancer (BC), five conventional biomarkers-estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)-are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification.

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