Literature DB >> 21470560

Predictive algorithms for adjuvant therapy: TransATAC.

Mitch Dowsett1, Janine Salter, Lila Zabaglo, Elizabeth Mallon, Antony Howell, Aman U Buzdar, John Forbes, S Pineda, Jack Cuzick.   

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.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21470560     DOI: 10.1016/j.steroids.2011.02.032

Source DB:  PubMed          Journal:  Steroids        ISSN: 0039-128X            Impact factor:   2.668


  10 in total

1.  Tailoring therapy for locally advanced breast cancer using molecular profiles: are we there yet?

Authors:  Christopher Fosker; Julian W Adlard; Abeer Shaaban
Journal:  Drugs       Date:  2011-10-22       Impact factor: 9.546

Review 2.  Can predictive biomarkers in breast cancer guide adjuvant endocrine therapy?

Authors:  Karin Beelen; Wilbert Zwart; Sabine C Linn
Journal:  Nat Rev Clin Oncol       Date:  2012-07-24       Impact factor: 66.675

3.  A novel quantitative immunohistochemistry method for precise protein measurements directly in formalin-fixed, paraffin-embedded specimens: analytical performance measuring HER2.

Authors:  Kristian Jensen; Rikke Krusenstjerna-Hafstrøm; Jesper Lohse; Kenneth H Petersen; Helene Derand
Journal:  Mod Pathol       Date:  2016-10-21       Impact factor: 7.842

4.  Estrogen receptor expression is high but is of lower intensity in tubular carcinoma than in well-differentiated invasive ductal carcinoma.

Authors:  Julie M Jorns; Dafydd G Thomas; Patrick N Healy; Stephanie Daignault; Tammi L Vickery; Jacqueline E Snider; Elaine R Mardis; Sherri R Davies; Matthew J Ellis; Daniel W Visscher
Journal:  Arch Pathol Lab Med       Date:  2014-11       Impact factor: 5.534

5.  Assessment of the contribution of the IHC4+C score to decision making in clinical practice in early breast cancer.

Authors:  S Barton; L Zabaglo; R A'Hern; N Turner; T Ferguson; S O'Neill; M Hills; I Smith; M Dowsett
Journal:  Br J Cancer       Date:  2012-04-24       Impact factor: 7.640

6.  Association Between Phosphorylated Histone H3 and Oncotype DX Recurrence Scores in Breast Cancer.

Authors:  Lik Hang Lee; Paul E Swanson; Patricia A Tang; Gilbert Bigras; Hua Yang
Journal:  Appl Immunohistochem Mol Morphol       Date:  2017-01

7.  Evaluation of applying IHC4 as a prognostic model in the translational study of Intergroup Exemestane Study (IES): PathIES.

Authors:  M C U Cheang; J M Bliss; G Viale; V Speirs; C Palmieri; A Shaaban; P E Lønning; J Morden; N Porta; J Jassem; C J van De Velde; B B Rasmussen; D Verhoeven; J M S Bartlett; R C Coombes
Journal:  Breast Cancer Res Treat       Date:  2017-11-24       Impact factor: 4.872

8.  Unmasking the immune microecology of ductal carcinoma in situ with deep learning.

Authors:  Priya Lakshmi Narayanan; Shan E Ahmed Raza; Allison H Hall; Jeffrey R Marks; Lorraine King; Robert B West; Lucia Hernandez; Naomi Guppy; Mitch Dowsett; Barry Gusterson; Carlo Maley; E Shelley Hwang; Yinyin Yuan
Journal:  NPJ Breast Cancer       Date:  2021-03-01

9.  Investigating the clinical significance of EGFR expression using machine learning in a series of Iraqi patients with triple-negative breast cancer.

Authors:  Gufran Salman; Esraa Aldujaily; Mohammed Jabardi; Omar Layth Qassid
Journal:  J Med Life       Date:  2022-08

10.  Evaluation of multiple transcriptomic gene risk signatures in male breast cancer.

Authors:  Jane Bayani; Coralie Poncet; Cheryl Crozier; Anouk Neven; Tammy Piper; Carrie Cunningham; Monika Sobol; Stefan Aebi; Kim Benstead; Oliver Bogler; Lissandra Dal Lago; Judith Fraser; Florentine Hilbers; Ingrid Hedenfalk; Larissa Korde; Barbro Linderholm; John Martens; Lavinia Middleton; Melissa Murray; Catherine Kelly; Cecilia Nilsson; Monika Nowaczyk; Stephanie Peeters; Aleksandra Peric; Peggy Porter; Carolien Schröder; Isabel T Rubio; Kathryn J Ruddy; Christi van Asperen; Danielle Van Den Weyngaert; Carolien van Deurzen; Elise van Leeuwen-Stok; Joanna Vermeij; Eric Winer; Sharon H Giordano; Fatima Cardoso; John M S Bartlett
Journal:  NPJ Breast Cancer       Date:  2021-07-26
  10 in total

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