Literature DB >> 23411384

Using multigene tests to select treatment for early-stage breast cancer.

Rodrigo Goncalves1, Ron Bose.   

Abstract

Oncotype DX, PAM50, and MammaPrint are multigene tests that are being used clinically for early-stage breast cancer to predict recurrence risk and guide adjuvant chemotherapy decisions. These tests have been validated in multiple retrospective studies, and prospective clinical trials are in progress. The TAILORx trial uses the Oncotype DX recurrence score to assign estrogen receptor-positive (ER+), node-negative patients to chemotherapy plus hormonal therapy versus hormonal therapy alone. The RxPONDER (SWOG S1007) trial uses Oncotype DX in a similar approach but on node-positive patients, and it includes the PAM50 test as a secondary analysis. The MINDACT trial uses Mamma-Print and Adjuvant! Online for treatment arm assignments. MINDACT has very broad eligibility criteria and 2 secondary randomizations for selecting chemotherapy and hormonal therapy regimens. This article discusses how the latest results on cancer genome sequencing apply to early-stage breast cancer. Several hundred breast cancers have already undergone genome sequencing, and the somatic DNA changes found in the tumor, compared with the patient's normal DNA, have been identified. Higher rates of point mutations and chromosomal translocations are found in aromatase inhibitor-resistant ER+ cancers and in the basal-like and HER2-enriched breast cancer subtypes. Correlations of somatic mutations with neoadjuvant aromatase inhibitor response are discussed. Genome sequencing can potentially identify the molecular abnormalities that underlie the poor risk identified by multigene tests and provide potential new targets for therapy, but more clinical trials correlating clinical outcome and somatic DNA changes are needed.

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Year:  2013        PMID: 23411384     DOI: 10.6004/jnccn.2013.0025

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  15 in total

1.  Clinical utility of multigene profiling assays in early-stage breast cancer.

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Review 3.  Liquid biopsies: genotyping circulating tumor DNA.

Authors:  Luis A Diaz; Alberto Bardelli
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4.  RAS pathway biomarkers for breast cancer prognosis.

Authors:  Lauren L Siewertsz van Reesema; Michael P Lee; Vasilena Zheleva; Janet S Winston; Caroline F O'Connor; Roger R Perry; Richard A Hoefer; Amy H Tang
Journal:  Clin Lab Int       Date:  2016-11

5.  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 6.  Molecular characterization and targeted therapeutic approaches in breast cancer.

Authors:  Angela Toss; Massimo Cristofanilli
Journal:  Breast Cancer Res       Date:  2015-04-23       Impact factor: 6.466

7.  WSG ADAPT - adjuvant dynamic marker-adjusted personalized therapy trial optimizing risk assessment and therapy response prediction in early breast cancer: study protocol for a prospective, multi-center, controlled, non-blinded, randomized, investigator initiated phase II/III trial.

Authors:  Daniel Hofmann; Ulrike Nitz; Oleg Gluz; Ronald E Kates; Timo Schinkoethe; Peter Staib; Nadia Harbeck
Journal:  Trials       Date:  2013-08-19       Impact factor: 2.279

Review 8.  Closing the gap between knowledge and clinical application: challenges for genomic translation.

Authors:  Wylie Burke; Diane M Korngiebel
Journal:  PLoS Genet       Date:  2015-02-26       Impact factor: 5.917

9.  SNP 1772 C > T of HIF-1α gene associates with breast cancer risk in a Taiwanese population.

Authors:  Chih-Jen Huang; Shi-Long Lian; Ming-Feng Hou; Chee-Yin Chai; Yi-Hsing Yang; Sheng-Fung Lin; Hsueh-Wei Chang
Journal:  Cancer Cell Int       Date:  2014-09-26       Impact factor: 5.722

10.  Spontaneous genomic alterations in a chimeric model of colorectal cancer enable metastasis and guide effective combinatorial therapy.

Authors:  Yinghui Zhou; William M Rideout; Angela Bressel; Sireesha Yalavarthi; Tong Zi; Darren Potz; Samuel Farlow; Joelle Brodeur; Anthony Monti; Shailaja Reddipalli; Qiurong Xiao; Steve Bottega; Bin Feng; M Isabel Chiu; Marcus Bosenberg; Joerg Heyer
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

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