Literature DB >> 27639633

Clinical evidence supporting genomic tests in early breast cancer: Do all genomic tests provide the same information?

C Markopoulos1, C van de Velde2, D Zarca3, V Ozmen4, R Masetti5.   

Abstract

Breast cancer (BC) has historically been treated as a single disease entity; however, in the last decade, insights into its molecular heterogeneity have underpinned the development/commercialisation of several genomic tools whose goal is to guide patient management in early BC. These include the Oncotype DX® Breast Recurrence Score™ assay, MammaPrint®, Prosigna®, and EndoPredict®. Although these assays are similar in that they are all multigene assays reflecting risk of recurrence, they differ substantially in the technological platform used to measure gene expression; the number and identity of genes assessed; the patient populations used for development and validation; and the level of evidence supporting clinical utility. They also differ in the amount of evidence demonstrating their impact on treatment decisions and cost effectiveness in different countries. This review discusses these 4 assays, highlighting the clinical evidence that supports each of them, while focussing on the Recurrence Score assay. This assay has the greatest body of evidence supporting its clinical utility and decision impact/effectiveness, and currently is the only one validated as a predictor of response to adjuvant chemotherapy in hormone-receptor positive early BC patients treated with endocrine therapy and to be included as such in international/national BC treatment guidelines. The review also discusses ongoing prospective trials investigating the 4 assays, recent outcome studies, as well as analyses comparing different assays on the same tumour blocks.
Copyright © 2016 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

Entities:  

Keywords:  Adjuvant chemotherapy; Breast cancer; Genomics; Personalized medicine

Mesh:

Substances:

Year:  2016        PMID: 27639633     DOI: 10.1016/j.ejso.2016.08.012

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


  16 in total

1.  Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis.

Authors:  Vasily N Aushev; Eunjee Lee; Jun Zhu; Kalpana Gopalakrishnan; Qian Li; Susan L Teitelbaum; James Wetmur; Davide Degli Esposti; Hector Hernandez-Vargas; Zdenko Herceg; Humberto Parada; Regina M Santella; Marilie D Gammon; Jia Chen
Journal:  Clin Cancer Res       Date:  2017-11-14       Impact factor: 12.531

Review 2.  Breast cancer in the era of precision medicine.

Authors:  Negar Sarhangi; Shahrzad Hajjari; Seyede Fatemeh Heydari; Maryam Ganjizadeh; Fatemeh Rouhollah; Mandana Hasanzad
Journal:  Mol Biol Rep       Date:  2022-06-22       Impact factor: 2.742

3.  Specific gene expression profiles are associated with a pathologic complete response to neoadjuvant therapy in esophageal adenocarcinoma.

Authors:  Patrick J McLaren; Anthony P Barnes; Willy Z Terrell; Gina M Vaccaro; Jack Wiedrick; John G Hunter; James P Dolan
Journal:  Am J Surg       Date:  2017-03-27       Impact factor: 2.565

4.  Cost effectiveness of Gene Expression Profiling in Patients with Early-Stage Breast Cancer in a Middle-Income Country, Turkey: Results of a Prospective Multicenter Study.

Authors:  Vahit Özmen; Burcu Çakar; Erhan Gökmen; Mustafa Özdoğan; Nilufer Güler; Cihan Uras; Engin Ok; Orhan Demircan; Abdurrahman Işıkdoğan; Pınar Saip
Journal:  Eur J Breast Health       Date:  2019-07-01

Review 5.  The Era of Multigene Panels Comes? The Clinical Utility of Oncotype DX and MammaPrint.

Authors:  Ling Xin; Yin-Hua Liu; Tracey A Martin; Wen G Jiang
Journal:  World J Oncol       Date:  2017-05-04

6.  Pre-silencing of genes involved in the electron transport chain (ETC) pathway is associated with responsiveness to abatacept in rheumatoid arthritis.

Authors:  C Derambure; G Dzangue-Tchoupou; C Berard; N Vergne; M Hiron; M A D'Agostino; P Musette; O Vittecoq; T Lequerré
Journal:  Arthritis Res Ther       Date:  2017-05-25       Impact factor: 5.156

Review 7.  Genomic Assays in Node Positive Breast Cancer Patients: A Review.

Authors:  Maroun Bou Zerdan; Maryam Ibrahim; Clara El Nakib; Rayan Hajjar; Hazem I Assi
Journal:  Front Oncol       Date:  2021-02-16       Impact factor: 6.244

8.  Region-specific glucocorticoid receptor promoter methylation has both positive and negative prognostic value in patients with estrogen receptor-positive breast cancer.

Authors:  Hilary Snider; Brithica Villavarajan; Yingwei Peng; Lois E Shepherd; Andrew C Robinson; Christopher R Mueller
Journal:  Clin Epigenetics       Date:  2019-11-01       Impact factor: 6.551

Review 9.  Precision Medicine and the Role of Biomarkers of Radiotherapy Response in Breast Cancer.

Authors:  James Meehan; Mark Gray; Carlos Martínez-Pérez; Charlene Kay; Lisa Y Pang; Jennifer A Fraser; Amy V Poole; Ian H Kunkler; Simon P Langdon; David Argyle; Arran K Turnbull
Journal:  Front Oncol       Date:  2020-04-24       Impact factor: 6.244

10.  Gene signature-based prediction of triple-negative breast cancer patient response to Neoadjuvant chemotherapy.

Authors:  Yanding Zhao; Evelien Schaafsma; Chao Cheng
Journal:  Cancer Med       Date:  2020-07-21       Impact factor: 4.452

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