52P RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer

J Vallon-Christersson,J Staaf,J Häkkinen,C Hegardt,L Saal,A Ehinger,C Larsson,N Loman,L Rydén,M Malmberg,Å Borg

doi:10.1016/j.annonc.2022.03.067

52P RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer

J Vallon-Christersson, J Staaf + Show 9 more

Open Access

https://doi.org/10.1016/j.annonc.2022.03.067

Copy DOI

Journal: Annals of oncology : official journal of the European Society for Medical Oncology	Publication Date: May 1, 2022
Citations: 1	License type: publisher-specific-oa

Affiliation: Lund University, Skåne University Hospital

#Molecular Subtype #Molecular Intrinsic Subtype + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

Multigene expression assays for molecular subtypes and biomarkers can aid clinical management of early invasive breast cancer. Based on RNA-sequencing we aimed to develop single-sample predictor (SSP) models for conventional clinical markers, molecular intrinsic subtype and risk of recurrence (ROR).

Full Text