Back to Search Start Over

Predictive algorithms for adjuvant therapy: TransATAC

Authors :
Penning, T.M.
Dowsett, Mitch
Salter, Janine
Zabaglo, Lila
Mallon, Elizabeth
Howell, Antony
Buzdar, Aman U
Forbes, John
Pineda Sanjuan, Silvia
Cuzick, Jack
Penning, T.M.
Dowsett, Mitch
Salter, Janine
Zabaglo, Lila
Mallon, Elizabeth
Howell, Antony
Buzdar, Aman U
Forbes, John
Pineda Sanjuan, Silvia
Cuzick, Jack
Publication Year :
2024

Abstract

Estrogen receptor (ER) positive primary breast cancers have a wide range of clinical outcomes. Prediction of the likely course of the disease aids treatment decision-making. In the translational arm of the ATAC (anastrozole or tamoxifen alone or combined) trial (TransATAC) we have assessed individual and multiparameter biomarkers for their prediction of overall and distant recurrence. None of the biomarkers identified differential benefit for anastrozole versus tamoxifen. Each of ER, PgR, HER2 and Ki67 was associated with risk of recurrence. A combination of these to create a single predictor IHC4 was as informative as the 21-gene recurrence score (RS). Integration of each of these molecular profiles with classical clinicopathologic variables provided the most accurate prediction of outcome<br />Breakthrough Breast Cancer<br />AstraZeneca<br />Depto. de Estadística y Ciencia de los Datos<br />Fac. de Estudios Estadísticos<br />TRUE<br />pub

Details

Database :
OAIster
Notes :
application/pdf, 0039-128X, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1429623178
Document Type :
Electronic Resource