Literature DB >> 31706719

Multigene assays in early breast cancer: Insights from recent phase 3 studies.

C Markopoulos1, D M Hyams2, H L Gomez3, M Harries4, S Nakamura5, T Traina6, A Katz7.   

Abstract

Multigene assays (MGAs) guide treatment in early-stage breast cancer (ESBC) enabling selective and effective use of adjuvant chemotherapy (CT). Support for all MGAs had previously been derived from retrospectively-analyzed, prospective studies. Only 2 ESBC MGAs, the 70-gene signature (MammaPrint®) and the 21-gene Recurrence Score (RS) assay (Oncotype DX®), are now supported by entirely prospective randomized phase 3 trials. These studies varied in their primary objectives, design, and eligibility. The MINDACT study provided the first level 1 evidence for the 70-gene signature, identifying a prognostic capability irrespective of lymph node (LN) or hormone receptor (HR) status. However, the study did not support predictive value for the assay regarding adjuvant CT utility. The second prospective study, WSG-PlanB, confirmed the prognostic value of the 21-gene RS assay in HR-positive tumors with RS ≤ 11. A 5-year disease free survival (DFS) of 94% was identified in this group when treated with endocrine therapy (ET) alone regardless of N0 or N1 nodal status. The final new prospective study, TAILORx, confirmed the prognostic value of the 21-gene assay in N0 HR-positive disease, demonstrating a lack of CT benefit in patients with midrange RS. The information from these phase 3 studies confirms that MGAs are not interchangeable and that each provides different information for differing patient populations. Prognosis-only is supported for the 70-gene signature while both prognosis and the predictive value of CT are provided by the 21-gene assay. This review assesses and contrasts these phase 3 studies in the context of target populations and clinical utility.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  21-Gene assay; 70-Gene assay; Breast cancer; Chemotherapy; MammaPrint; Oncotype DX

Year:  2019        PMID: 31706719     DOI: 10.1016/j.ejso.2019.10.019

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  6 in total

1.  Pre-analytical processing protocol of breast biopsies affects multigene panel results.

Authors:  Vanessa Reinaldo Lima; Beatriz da Costa Aguiar Alves; Fernando Luiz Affonso Fonseca; Debora Krutman Zveibil; Auro Del Giglio
Journal:  Int J Exp Pathol       Date:  2022-06       Impact factor: 2.793

2.  Concordance between results of inexpensive statistical models and multigene signatures in patients with ER+/HER2- early breast cancer.

Authors:  Patrick Neven; Giuseppe Floris; Laurence Slembrouck; Isabelle Vanden Bempt; Hans Wildiers; Ann Smeets; Anne-Sophie Van Rompuy; Chantal Van Ongeval; Lynn Jongen; Caroline Weltens; Kevin Punie; Griet Hoste; Els Van Nieuwenhuysen; Sileny Han; Ines Nevelsteen
Journal:  Mod Pathol       Date:  2021-02-08       Impact factor: 7.842

Review 3.  A narrative review of five multigenetic assays in breast cancer.

Authors:  Cheng Zeng; Jian Zhang
Journal:  Transl Cancer Res       Date:  2022-04       Impact factor: 1.241

4.  Lymphovascular invasion in hormone-positive, human epidermal growth factor-negative, low-burden axillary disease in early breast cancer patients tested for oncotype DX recurrence score.

Authors:  Abdalla Saad Abdalla Al-Zawi; Su Lei Yin; Zina Aladili
Journal:  Contemp Oncol (Pozn)       Date:  2022-07-08

5.  Correlation between targeted RNAseq signature of breast cancer CTCs and onset of bone-only metastases.

Authors:  Domenica Lovero; Stella D'Oronzo; Raffaele Palmirotta; Paola Cafforio; Janet Brown; Steven Wood; Camillo Porta; Eleonora Lauricella; Robert Coleman; Franco Silvestris
Journal:  Br J Cancer       Date:  2021-07-16       Impact factor: 9.075

6.  Multi-site tumor sampling highlights molecular intra-tumor heterogeneity in malignant pleural mesothelioma.

Authors:  Clément Meiller; François Montagne; Theo Z Hirsch; Stefano Caruso; Julien de Wolf; Quentin Bayard; Jean-Baptiste Assié; Léa Meunier; Yuna Blum; Lisa Quetel; Laure Gibault; Ecaterina Pintilie; Cécile Badoual; Sarah Humez; Françoise Galateau-Sallé; Marie-Christine Copin; Eric Letouzé; Arnaud Scherpereel; Jessica Zucman-Rossi; Françoise Le Pimpec-Barthes; Marie-Claude Jaurand; Didier Jean
Journal:  Genome Med       Date:  2021-07-14       Impact factor: 11.117

  6 in total

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