Literature DB >> 33878210

Early ultrasound evaluation identifies excellent responders to neoadjuvant systemic therapy among patients with triple-negative breast cancer.

Beatriz E Adrada1, Rosalind Candelaria1, Stacy Moulder2, Alastair Thompson3,4, Peng Wei5, Gary J Whitman1, Vicente Valero6, Jennifer K Litton6, Lumarie Santiago1, Marion E Scoggins1, Tanya W Moseley7, Jason B White6, Elizabeth E Ravenberg6, Wei T Yang1, Gaiane M Rauch1.   

Abstract

BACKGROUND: Heterogeneity exists in the response of triple-negative breast cancer (TNBC) to standard anthracycline (AC)/taxane-based neoadjuvant systemic therapy (NAST), with 40% to 50% of patients having a pathologic complete response (pCR) to therapy. Early assessment of the imaging response during NAST may identify a subset of TNBCs that are likely to have a pCR upon completion of treatment. The authors aimed to evaluate the performance of early ultrasound (US) after 2 cycles of neoadjuvant NAST in identifying excellent responders to NAST among patients with TNBC.
METHODS: Two hundred fifteen patients with TNBC were enrolled in the ongoing ARTEMIS (A Robust TNBC Evaluation Framework to Improve Survival) clinical trial. The patients were divided into a discovery cohort (n = 107) and a validation cohort (n = 108). A receiver operating characteristic analysis with 95% confidence intervals (CIs) and a multivariate logistic regression analysis were performed to model the probability of a pCR on the basis of the tumor volume reduction (TVR) percentage by US from the baseline to after 2 cycles of AC.
RESULTS: Overall, 39.3% of the patients (42 of 107) achieved a pCR. A positive predictive value (PPV) analysis identified a cutoff point of 80% TVR after 2 cycles; the pCR rate was 77% (17 of 22) in patients with a TVR ≥ 80%, and the area under the curve (AUC) was 0.84 (95% CI, 0.77-0.92; P < .0001). In the validation cohort, the pCR rate was 44%. The PPV for pCR with a TVR ≥ 80% after 2 cycles was 76% (95% CI, 55%-91%), and the AUC was 0.79 (95% CI, 0.70-0.87; P < .0001).
CONCLUSIONS: The TVR percentage by US evaluation after 2 cycles of NAST may be a cost-effective early imaging biomarker for a pCR to AC/taxane-based NAST.
© 2021 American Cancer Society.

Entities:  

Keywords:  breast cancer; imaging; neoadjuvant systemic therapy (NAST); triple-negative breast cancer (TNBC); ultrasound

Mesh:

Substances:

Year:  2021        PMID: 33878210      PMCID: PMC8319084          DOI: 10.1002/cncr.33604

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.921


  37 in total

1.  Accuracy of ultrasonography and mammography in predicting pathologic response after neoadjuvant chemotherapy for breast cancer.

Authors:  Jason D Keune; Donna B Jeffe; Mario Schootman; Abigail Hoffman; William E Gillanders; Rebecca L Aft
Journal:  Am J Surg       Date:  2010-04       Impact factor: 2.565

2.  Multi-parametric MRI in the early prediction of response to neo-adjuvant chemotherapy in breast cancer: Value of non-modelled parameters.

Authors:  Elizabeth A M O'Flynn; David Collins; James D'Arcy; Maria Schmidt; Nandita M de Souza
Journal:  Eur J Radiol       Date:  2016-02-05       Impact factor: 3.528

Review 3.  MRI and PET/CT for evaluation of the pathological response to neoadjuvant chemotherapy in breast cancer: A systematic review and meta-analysis.

Authors:  Huimin Li; Liang Yao; Penghui Jin; Lidong Hu; Xiaofei Li; Tiankang Guo; Kehu Yang
Journal:  Breast       Date:  2018-05-11       Impact factor: 4.380

4.  Predictive Clinicopathologic and Dynamic Contrast-Enhanced MRI Findings for Tumor Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.

Authors:  Hye-Joung Eom; Joo Hee Cha; Woo Jung Choi; Eun Young Chae; Hee Jung Shin; Hak Hee Kim
Journal:  AJR Am J Roentgenol       Date:  2017-03-28       Impact factor: 3.959

Review 5.  Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis.

Authors:  Patricia Cortazar; Lijun Zhang; Michael Untch; Keyur Mehta; Joseph P Costantino; Norman Wolmark; Hervé Bonnefoi; David Cameron; Luca Gianni; Pinuccia Valagussa; Sandra M Swain; Tatiana Prowell; Sibylle Loibl; D Lawrence Wickerham; Jan Bogaerts; Jose Baselga; Charles Perou; Gideon Blumenthal; Jens Blohmer; Eleftherios P Mamounas; Jonas Bergh; Vladimir Semiglazov; Robert Justice; Holger Eidtmann; Soonmyung Paik; Martine Piccart; Rajeshwari Sridhara; Peter A Fasching; Leen Slaets; Shenghui Tang; Bernd Gerber; Charles E Geyer; Richard Pazdur; Nina Ditsch; Priya Rastogi; Wolfgang Eiermann; Gunter von Minckwitz
Journal:  Lancet       Date:  2014-02-14       Impact factor: 79.321

6.  Impact of the addition of carboplatin and/or bevacizumab to neoadjuvant once-per-week paclitaxel followed by dose-dense doxorubicin and cyclophosphamide on pathologic complete response rates in stage II to III triple-negative breast cancer: CALGB 40603 (Alliance).

Authors:  William M Sikov; Donald A Berry; Charles M Perou; Baljit Singh; Constance T Cirrincione; Sara M Tolaney; Charles S Kuzma; Timothy J Pluard; George Somlo; Elisa R Port; Mehra Golshan; Jennifer R Bellon; Deborah Collyar; Olwen M Hahn; Lisa A Carey; Clifford A Hudis; Eric P Winer
Journal:  J Clin Oncol       Date:  2014-08-04       Impact factor: 44.544

Review 7.  Early prediction of pathologic response to neoadjuvant therapy in breast cancer: systematic review of the accuracy of MRI.

Authors:  M L Marinovich; F Sardanelli; S Ciatto; E Mamounas; M Brennan; P Macaskill; L Irwig; G von Minckwitz; N Houssami
Journal:  Breast       Date:  2012-08-03       Impact factor: 4.380

8.  DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings.

Authors:  Xia Li; Lori R Arlinghaus; Gregory D Ayers; A Bapsi Chakravarthy; Richard G Abramson; Vandana G Abramson; Nkiruka Atuegwu; Jaime Farley; Ingrid A Mayer; Mark C Kelley; Ingrid M Meszoely; Julie Means-Powell; Ana M Grau; Melinda Sanders; Sandeep R Bhave; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2013-05-09       Impact factor: 4.668

9.  Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy for Primary Breast Cancer Comparing Interim Ultrasound, Shear Wave Elastography and MRI.

Authors:  Andrew Evans; Patsy Whelehan; Alastair Thompson; Colin Purdie; Lee Jordan; Jane Macaskill; Shelley Waugh; Frances Fuller-Pace; Katrin Brauer; Sarah Vinnicombe
Journal:  Ultraschall Med       Date:  2017-09-21       Impact factor: 6.548

10.  Are baseline ultrasound and mammographic features associated with rates of pathological completes response in patients receiving neoadjuvant chemotherapy for breast cancer?

Authors:  Sarah L Savaridas; Yee Ting Sim; Sarah J Vinnicombe; Colin A Purdie; Alastair M Thompson; Andy Evans
Journal:  Cancer Imaging       Date:  2019-10-21       Impact factor: 3.909

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  2 in total

1.  Value of Histogram of Gray-Scale Ultrasound Image in Differential Diagnosis of Small Triple Negative Breast Invasive Ductal Carcinoma and Fibroadenoma.

Authors:  Maolin Xu; Fang Li; Shaonan Yu; Shue Zeng; Gaolong Weng; Peihong Teng; Huimin Yang; Xuefeng Li; Guifeng Liu
Journal:  Cancer Manag Res       Date:  2022-04-21       Impact factor: 3.602

2.  Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network: A multicentre, retrospective cohort study.

Authors:  Yu Liu; Ying Wang; Yuxiang Wang; Yu Xie; Yanfen Cui; Senwen Feng; Mengxia Yao; Bingjiang Qiu; Wenqian Shen; Dong Chen; Guoqing Du; Xin Chen; Zaiyi Liu; Zhenhui Li; Xiaotang Yang; Changhong Liang; Lei Wu
Journal:  EClinicalMedicine       Date:  2022-07-30
  2 in total

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