Literature DB >> 27384749

Genomic Impact of Neoadjuvant Therapy on Breast Cancer: Incomplete Response is Associated with Altered Diagnostic Gene Signatures.

Peter Beitsch1, Pat Whitworth2, Paul Baron3, James Pellicane4, Tina Treece5, Erin Yoder5, Mark Gittleman6.   

Abstract

PURPOSE: Neoadjuvant therapy (NAT) has been shown to clinically downstage locally advanced breast cancers. This study aimed to determine whether a meaningful change in gene signatures occurs between pre- and post-NAT breast cancers for patients who do not achieve a pathologic complete response.
METHODS: The current analysis included women from the prospective Neoadjuvant Breast Registry Symphony Trial who had breast cancer and awaited NAT. MammaPrint and BluePrint (Agendia, Inc., Irvine, CA) assays were performed on pre- and post-NAT breast tumor samples.
RESULTS: At the completion of NAT, 93 patients with residual disease had their remaining tumor analyzed for MammaPrint and BluePrint. Of 93 patients, 21 switched tumor classification: 16 from high risk (HR) to low risk (LR) and 1 from LR to HR (p < 0.001). Four additional patients switched molecular subtype but remained HR. Although only 17 patients switched in their MammaPrint risk classification, the underlying MPIndex was significantly altered after treatment across all patients (p < 0.001). Additionally, the three BluePrint indices for luminal, human epidermal growth factor receptor 2 (HER2), and basal type also were significantly altered after treatment, in a subtype-dependent manner.
CONCLUSION: This substudy showed that NAT significantly altered the genomic signature of the patient's breast cancer compared with the patient's pretreatment genomic profile. These alterations occurred in a subtype-dependent manner, suggesting that NAT may have either eliminated the most susceptible tumor subclone, leaving the treatment resistant clone with a different genetic signature, or altered molecular characteristics of the original cancer.

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Year:  2016        PMID: 27384749     DOI: 10.1245/s10434-016-5329-6

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  4 in total

1.  Transcriptomic analyses identify key differentially expressed genes and clinical outcomes between triple-negative and non-triple-negative breast cancer.

Authors:  Bo Chen; Hailin Tang; Xi Chen; Guochun Zhang; Yulei Wang; Xiaoming Xie; Ning Liao
Journal:  Cancer Manag Res       Date:  2018-12-21       Impact factor: 3.989

2.  Miller-Payne Grading and 70-Gene Signature Are Associated With Prognosis of Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Early-Stage Breast Cancer After Neoadjuvant Chemotherapy.

Authors:  Liye Wang; Rongzhen Luo; Qianyi Lu; Kuikui Jiang; Ruoxi Hong; Kaping Lee; Ping Zhang; Danyang Zhou; Shusen Wang; Fei Xu
Journal:  Front Oncol       Date:  2021-09-24       Impact factor: 6.244

3.  Impact of receptor phenotype on nodal burden in patients with breast cancer who have undergone neoadjuvant chemotherapy.

Authors:  M R Boland; T P McVeigh; N O'Flaherty; G Gullo; M Keane; C M Quinn; E W McDermott; A J Lowery; M J Kerin; R S Prichard
Journal:  BJS Open       Date:  2017-07-31

4.  Performance Characteristics of the BluePrint® Breast Cancer Diagnostic Test.

Authors:  Lorenza Mittempergher; Leonie Jmj Delahaye; Anke T Witteveen; Mireille Hj Snel; Sammy Mee; Bob Y Chan; Christa Dreezen; Naomi Besseling; Ernest Jt Luiten
Journal:  Transl Oncol       Date:  2020-03-21       Impact factor: 4.243

  4 in total

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