000 03766nam a22005177a 4500
008 190621s20192019 xxu||||| |||| 00| 0 eng d
022 _a0923-7534
040 _aOvid MEDLINE(R)
099 _a31131397
245 _aAvoiding over- and undertreatment in patients with resected node-positive breast cancer with the use of gene expression signatures: are we there yet?. [Review]
251 _aAnnals of Oncology. 30(7):1044-1050, 2019 07 01.
252 _aAnn Oncol. 30(7):1044-1050, 2019 07 01.
252 _zAnn Oncol. 2019 Apr 09
253 _aAnnals of oncology : official journal of the European Society for Medical Oncology
260 _c2019
260 _fFY2020
265 _saheadofprint
265 _sppublish
266 _d2019-06-21
268 _aAnnals of Oncology. 2019 Apr 09
269 _fFY2019
520 _aCopyright (c) The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: [email protected].
520 _aPrediction of benefit from adjuvant chemotherapy following resection of early breast cancer and, as a result, proper selection of candidates remains an elusive goal since the relative magnitude of benefit is the same regardless of the presence of clinicopathologic factors. Multiple studies, including randomized trials, establish the role of certain gene expression signatures in node-negative disease since they predict the risk of breast cancer relapse being so low that adjuvant chemotherapy can be omitted. In contrast, more limited data are available in higher risk, node-positive breast cancer patients, making the exclusion of adjuvant chemotherapy potentially hazardous. 'Prospective-retrospective' studies and limited prospective data show that several signatures, namely Oncotype Dx, MammaPrint, Prosigna, EndoPredict and Breast Cancer Index, select with different levels of success node-positive patients at very low risk for distant recurrence despite not receiving chemotherapy, although the long-term follow-up is still awaited. Pending, however the publication of the results from ongoing randomized studies which enroll patients with node-positive disease, major caution is warranted. Improper use and misinterpretation of these transcriptomic profiles can lead to undertreatment and exposure of patients to unnecessary risks resulting in increased breast cancer mortality for patients with axillary node-positive disease. With this review we critically discuss the available data on gene expression signatures that are used in clinical practice and offer practical recommendations regarding the management of patients with ER-positive, human epidermal growth factor receptor 2 (HER2)-negative, node-positive breast cancer.
546 _aEnglish
650 _a*Antineoplastic Combined Chemotherapy Protocols/tu [Therapeutic Use]
650 _a*Breast Neoplasms/ge [Genetics]
650 _a*Breast Neoplasms/th [Therapy]
650 _a*Lymph Nodes/pa [Pathology]
650 _aBreast Neoplasms/pa [Pathology]
650 _aDecision Making
650 _aFemale
650 _aGene Expression Profiling/mt [Methods]
650 _aHumans
650 _aMastectomy/mt [Methods]
650 _aPrecision Medicine/mt [Methods]
650 _aPrognosis
650 _aRandomized Controlled Trials as Topic
650 _aTranscriptome
651 _aMedStar Health
656 _aAssociate Dean for Research Development
657 _aJournal Article
700 _aSwain, Sandra
790 _aBergh J, Foukakis T, Matikas A, Swain S
856 _uhttps://dx.doi.org/10.1093/annonc/mdz126
_zhttps://dx.doi.org/10.1093/annonc/mdz126
942 _cART
_dArticle
999 _c4313
_d4313