Literature DB >> 27103025

18F-FDG PET-Derived Tumor Blood Flow Changes After 1 Cycle of Neoadjuvant Chemotherapy Predicts Outcome in Triple-Negative Breast Cancer.

Olivier Humbert1,2, Jean-Marc Riedinger3,4, Jean-Marc Vrigneaud3,2, Salim Kanoun3,2,5, Inna Dygai-Cochet3, Alina Berriolo-Riedinger3, Michel Toubeau3, Edouard Depardon3, Maud Lassere3, Simon Tisserand3, Pierre Fumoleau6, François Brunotte3,2,5, Alexandre Cochet3,2,5.   

Abstract

Previous studies have suggested that early changes in blood flow (BF) in response to neoadjuvant chemotherapy and evaluated with 15O-water are a surrogate biomarker of outcome in women with breast cancer. This study investigates, in the triple-negative breast cancer subtype, the prognostic relevance of tumor BF changes (ΔBF) in response to chemotherapy, assessed using a short dynamic 18F-FDG PET acquisition.
METHODS: Forty-six consecutive women with triple-negative breast cancer and an indication for neoadjuvant chemotherapy were prospectively included. Women benefited from a baseline 18F-FDG PET examination with a 2-min chest-centered dynamic acquisition, started at the time of 18F-FDG injection. Breast tumor perfusion was calculated from this short dynamic image using a first-pass model. This dynamic PET acquisition was repeated after the first cycle of chemotherapy to measure early ΔBF. Delayed static PET acquisitions were also performed (90 min after 18F-FDG injection) to measure changes in tumor glucose metabolism (ΔSUVmax). The association between tumor BF, clinicopathologic characteristics, and patients' overall survival (OS) was evaluated.
RESULTS: Median baseline tumor BF was 21 mL/min/100 g (range, 6-46 mL/min/100 g) and did not significantly differ according to tumor size, Scarf-Bloom-Richardson grade, or Ki-67 expression. Median tumor ∆BF was -30%, with highly scattered values (range, -93% to +118%). A weak correlation was observed between ΔBF and ∆SUVmax (r = +0.40, P = 0.01). The median follow-up was 30 mo (range, 6-73 mo). Eight women developed recurrent disease, 7 of whom died. Low OS was associated with menopausal history (P = 0.03), persistent or increased tumor vascularization on the interim PET (ΔBF cutoff = -30%; P = 0.03), non-breast-conserving surgery (P = 0.04), and the absence of a pathologic complete response (pCR) (P = 0.01). ΔBF and pCR provided incremental prognostic stratification: 3-y OS was 100% in pCR women, 87% in no-pCR women but achieving an early tumor BF response, and only 48% in no-pCR/no-BF-response women (ΔBF cutoff = -30%, P < 0.001).
CONCLUSION: This study suggests the clinical usefulness of an early user- and patient-friendly 2-min dynamic acquisition to monitor breast tumor ΔBF to neoadjuvant chemotherapy using 18F-FDG PET/CT. Monitoring tumor perfusion and angiogenesis response to treatment seems to be a promising target for PET tracers.
© 2016 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  PET; blood flow; breast cancer; perfusion; triple-negative

Mesh:

Substances:

Year:  2016        PMID: 27103025     DOI: 10.2967/jnumed.116.172759

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  11 in total

1.  Getting the Most out of 18F-FDG PET Scans: The Predictive Value of 18F-FDG PET-Derived Blood Flow Estimates for Breast Cancer.

Authors:  Robert K Doot
Journal:  J Nucl Med       Date:  2016-06-03       Impact factor: 10.057

2.  PIK3CA Mutational Status Is Associated with High Glycolytic Activity in ER+/HER2- Early Invasive Breast Cancer: a Molecular Imaging Study Using [18F]FDG PET/CT.

Authors:  Heinrich Magometschnigg; Katja Pinker; Thomas Helbich; Anita Brandstetter; Margaretha Rudas; Thomas Nakuz; Pascal Baltzer; Wolfgang Wadsak; Marcus Hacker; Michael Weber; Peter Dubsky; Martin Filipits
Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

3.  Biological correlates of tumor perfusion and its heterogeneity in newly diagnosed breast cancer using dynamic first-pass 18F-FDG PET/CT.

Authors:  Neree Payan; Benoit Presles; François Brunotte; Charles Coutant; Isabelle Desmoulins; Jean-Marc Vrigneaud; Alexandre Cochet
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-08-08       Impact factor: 9.236

4.  Long-term outcomes in patients with PET-predicted poor-responsive HER2-positive breast cancer treated with neoadjuvant bevacizumab added to trastuzumab and docetaxel: 5-year follow-up of the randomised Avataxher study.

Authors:  Bruno Coudert; Jean-Yves Pierga; Marie-Ange Mouret-Reynier; Kaldoun Kerrou; Jean-Marc Ferrero; Thierry Petit; Fanny Le Du; Pierre-François Dupré; Thomas Bachelot; Philippe Gabelle; Marie-Pierre Chauvet; David Coeffic; Catherine Barbe; Jean-Briac Prevost; Gilles Paintaud; Gilles Thibault; Abdennour Ferhat; Julien Dupin; Alina Berriolo-Riedinger; Laurent Arnould
Journal:  EClinicalMedicine       Date:  2020-11-04

5.  Compact ultrasound-guided diffuse optical tomography system for breast cancer imaging.

Authors:  Hamed Vavadi; Atahar Mostafa; Feifei Zhou; K M Shihab Uddin; Murad Althobaiti; Chen Xu; Rajeev Bansal; Foluso Ademuyiwa; Steven Poplack; Quing Zhu
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

Review 6.  Predictors of Neoadjuvant Chemotherapy Response in Breast Cancer: A Review.

Authors:  Weilin Xu; Xiu Chen; Fei Deng; Jian Zhang; Wei Zhang; Jinhai Tang
Journal:  Onco Targets Ther       Date:  2020-06-22       Impact factor: 4.147

7.  Prognostic factors in breast cancer patients evaluated by positron-emission tomography/computed tomography before neoadjuvant chemotherapy.

Authors:  Mark K Farrugia; Sinjen Wen; Geraldine M Jacobson; Mohamad Adham Salkeni
Journal:  World J Nucl Med       Date:  2018 Oct-Dec

8.  A Novel Model Incorporating Tumor Stiffness, Blood Flow Characteristics, and Ki-67 Expression to Predict Responses After Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Jing Zhang; Song Gao; Qiaojin Zheng; Ye Kang; Jianyi Li; Shuo Zhang; Cong Shang; Xueying Tan; Weidong Ren; Yan Ma
Journal:  Front Oncol       Date:  2020-12-08       Impact factor: 6.244

9.  Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters.

Authors:  Quing Zhu; Susan Tannenbaum; Scott H Kurtzman; Patricia DeFusco; Andrew Ricci; Hamed Vavadi; Feifei Zhou; Chen Xu; Alex Merkulov; Poornima Hegde; Mark Kane; Liqun Wang; Kert Sabbath
Journal:  Breast Cancer Res       Date:  2018-06-14       Impact factor: 6.466

10.  Prognostic value of 18F-FDG PET and PET/CT for assessment of treatment response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.

Authors:  Sangwon Han; Joon Young Choi
Journal:  Breast Cancer Res       Date:  2020-10-31       Impact factor: 6.466

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