Literature DB >> 23414930

FDG PET/CT during neoadjuvant chemotherapy may predict response in ER-positive/HER2-negative and triple negative, but not in HER2-positive breast cancer.

Bas B Koolen1, Kenneth E Pengel, Jelle Wesseling, Wouter V Vogel, Marie-Jeanne T F D Vrancken Peeters, Andrew D Vincent, Kenneth G A Gilhuijs, Sjoerd Rodenhuis, Emiel J Th Rutgers, Renato A Valdés Olmos.   

Abstract

BACKGROUND: Response monitoring with MRI during neoadjuvant chemotherapy (NAC) in breast cancer is promising, but knowledge of breast cancer subtype is essential. The aim of the present study was to evaluate the relevance of breast cancer subtypes for monitoring of therapy response during NAC with 18F-FDG PET/CT.
METHODS: Evaluation included 98 women with stages II and III breast cancer. PET/CTs were performed before and after six or eight weeks of NAC. FDG uptake was quantified using maximum standardized uptake values (SUVmax). Tumors were divided into three subtypes: HER2-positive, ER-positive/HER2-negative, and triple negative. Tumor response at surgery was assessed dichotomously (presence or absence of residual disease) and ordinally (breast response index, representing relative change in tumor stage). Multivariate regression and receiver operating characteristic (ROC) analyses were employed to determine associations with pathological response.
RESULTS: A (near) complete pathological response was seen in 19 (76%) of 25 HER2-positive, 7 (16%) of 45 ER-positive/HER2-negative, and 20 (71%) of 28 triple negative tumors. Multivariate regression of pathological response indicated a significant interaction between change in FDG uptake and breast cancer subtype. The area under the ROC curve was 0.35 (0.12-0.64) for HER2-positive, 0.90 (0.76-1.00) for ER-positive/HER2-negative, and 0.96 (0.86-1.00) for triple negative tumors. We found no association between age, stage, histology, or baseline SUVmax and pathological response.
CONCLUSION: Response monitoring with PET/CT during NAC in breast cancer seems feasible, but is dependent on the breast cancer subtype. PET/CT may predict response in ER-positive/HER2-negative and triple negative tumors, but seems less accurate in HER2-positive tumors.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Neoadjuvant chemotherapy; PET/CT; Response monitoring; Subtype

Mesh:

Substances:

Year:  2013        PMID: 23414930     DOI: 10.1016/j.breast.2012.12.020

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  30 in total

1.  Multiparametric and Multimodality Functional Radiological Imaging for Breast Cancer Diagnosis and Early Treatment Response Assessment.

Authors:  Michael A Jacobs; Antonio C Wolff; Katarzyna J Macura; Vered Stearns; Ronald Ouwerkerk; Riham El Khouli; David A Bluemke; Richard Wahl
Journal:  J Natl Cancer Inst Monogr       Date:  2015-05

Review 2.  Role of positron emission tomography for the monitoring of response to therapy in breast cancer.

Authors:  Olivier Humbert; Alexandre Cochet; Bruno Coudert; Alina Berriolo-Riedinger; Salim Kanoun; François Brunotte; Pierre Fumoleau
Journal:  Oncologist       Date:  2015-01-05

Review 3.  ¹⁸F-FDG PET/CT in the early prediction of pathological response in aggressive subtypes of breast cancer: review of the literature and recommendations for use in clinical trials.

Authors:  David Groheux; David Mankoff; Marc Espié; Elif Hindié
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-01-13       Impact factor: 9.236

4.  Subtype-Guided 18F-FDG PET/CT in Tailoring Axillary Surgery Among Patients with Node-Positive Breast Cancer Treated with Neoadjuvant Chemotherapy: A Feasibility Study.

Authors:  Siyu Wu; Yujie Wang; Jianwei Li; Na Zhang; Miao Mo; Suzanne Klimberg; Virginia Kaklamani; Alexandre Cochet; Zhiming Shao; Jingyi Cheng; Guangyu Liu
Journal:  Oncologist       Date:  2019-12-11

5.  Glycolytic activity with 18F-FDG PET/CT predicts final neoadjuvant chemotherapy response in breast cancer.

Authors:  Ana María García Vicente; Miguel Ángel Cruz Mora; Antonio Alberto León Martín; María Del Mar Muñoz Sánchez; Fernanda Relea Calatayud; Ober Van Gómez López; Ruth Espinosa Aunión; Ana Gonzalez Ageitos; Angel Soriano Castrejón
Journal:  Tumour Biol       Date:  2014-08-20

6.  Complete Metabolic Response on Interim 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography to Predict Long-Term Survival in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy.

Authors:  Suyun Chen; Nuhad K Ibrahim; Yuanqing Yan; Stephen T Wong; Hui Wang; Franklin C Wong
Journal:  Oncologist       Date:  2017-04-04

7.  Subtype-Guided 18 F-FDG PET/CT in Tailoring Axillary Surgery Among Patients with Node-Positive Breast Cancer Treated with Neoadjuvant Chemotherapy: A Feasibility Study.

Authors:  Siyu Wu; Yujie Wang; Jianwei Li; Na Zhang; Miao Mo; Suzanne Klimberg; Virginia Kaklamani; Alexandre Cochet; Zhiming Shao; Jingyi Cheng; Guangyu Liu
Journal:  Oncologist       Date:  2019-12-11

8.  Combined use of ¹⁸F-FDG PET/CT and MRI for response monitoring of breast cancer during neoadjuvant chemotherapy.

Authors:  Kenneth E Pengel; Bas B Koolen; Claudette E Loo; Wouter V Vogel; Jelle Wesseling; Esther H Lips; Emiel J Th Rutgers; Renato A Valdés Olmos; Marie Jeanne T F D Vrancken Peeters; Sjoerd Rodenhuis; Kenneth G A Gilhuijs
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-04-29       Impact factor: 9.236

9.  18F-FDG uptake in breast cancer correlates with immunohistochemically defined subtypes.

Authors:  Hye Ryoung Koo; Jeong Seon Park; Keon Wook Kang; Nariya Cho; Jung Min Chang; Min Sun Bae; Won Hwa Kim; Su Hyun Lee; Mi Young Kim; Jin You Kim; Mirinae Seo; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2013-10-05       Impact factor: 5.315

10.  Sequential (18)F-FDG PET/CT for early prediction of complete pathological response in breast and axilla during neoadjuvant chemotherapy.

Authors:  Bas B Koolen; Kenneth E Pengel; Jelle Wesseling; Wouter V Vogel; Marie-Jeanne T F D Vrancken Peeters; Andrew D Vincent; Kenneth G A Gilhuijs; Sjoerd Rodenhuis; Emiel J Th Rutgers; Renato A Valdés Olmos
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-08-09       Impact factor: 9.236

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