[18F]FDG and [18F]FLT PET for the evaluation of response to neo-adjuvant chemotherapy in a model of triple negative breast cancer

被引:17
作者
Raccagni, Isabella [1 ,2 ,3 ]
Belloli, Sara [1 ,3 ]
Valtorta, Silvia [1 ,3 ,4 ]
Stefano, Alessandro [1 ]
Presotto, Luca [5 ]
Pascali, Claudio [6 ]
Bogni, Anna [6 ]
Tortoreto, Monica [7 ]
Zaffaroni, Nadia [7 ]
Daidone, Maria Grazia [8 ]
Russo, Giorgio [1 ]
Bombardieri, Emilio [9 ]
Moresco, Rosa Maria [1 ,2 ,3 ,4 ]
机构
[1] CNR, Inst Mol Bioimaging & Physiol IBFM, Segrate, Italy
[2] Tecnomed, Monza, Italy
[3] IRCCS San Raffaele Sci Inst, Expt Imaging Ctr, Milan, Italy
[4] Univ Milano Bicocca, Med & Surg Dept, Monza, Italy
[5] IRCCS San Raffaele Sci Inst, Nucl Med Unit, Milan, Italy
[6] Fdn IRCCS Ist Nazl Tumori, Nucl Med Unit, Milan, Italy
[7] Fdn IRCCS Ist Nazl Tumori, Expt Oncol & Mol Med Dept, Mol Pharmacol Unit, Milan, Italy
[8] Fdn IRCCS Ist Nazl Tumori, Expt Oncol & Mol Med Dept, Biomarkers Unit, Milan, Italy
[9] Humanitas Gavazzeni, Nucl Med Dept, Bergamo, Italy
来源
PLOS ONE | 2018年 / 13卷 / 05期
关键词
POSITRON-EMISSION-TOMOGRAPHY; EARLY PREDICTION; PATHOLOGICAL RESPONSE; F-18-FDG PET; THERAPY; TUMOR; PROLIFERATION; ASSOCIATION;
D O I
10.1371/journal.pone.0197754
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Rationale Pathological response to neo-adjuvant chemotherapy (NAC) represents a commonly used predictor of survival in triple negative breast cancer (TNBC) and the need to identify markers that predict response to NAC is constantly increasing. Aim of this study was to evaluate the potential usefulness of PET imaging with [F-18]FDG and [F-18]FLT for the discrimination of TNBC responders to Paclitaxel (PTX) therapy compared to the response assessed by an adapted Response Evaluation Criteria In Solid Tumors (RECIST) criteria based on tumor volume (Tumor Volume Response). Methods Nu/nu mice bearing TNBC lesions of different size were evaluated with [F-18]FDG and [F-18] FLT PET before and after PTX treatment. SUVmax, Metabolic Tumor Volume (MTV) and Total Lesion Glycolysis (TLG) and Proliferation (TLP) were assessed using a graph-based random walk algorithm. Results We found that in our TNBC model the variation of [F-18]FDG and [F-18]FLT SUVmax similarly defined tumor response to therapy and that SUVmax variation represented the most accurate parameter. Response evaluation using Tumor Volume Response (TVR) showed that the effectiveness of NAC with PTX was completely independent from lesions size at baseline. Conclusions Our study provided interesting results in terms of sensitivity and specificity of PET in TNBC, revealing the similar performances of [F-18]FDG and [F-18]FLT in the identification of responders to Paclitaxel.
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页数:14
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