TY - JOUR
T1 - Early prediction of response to sunitinib after imatinib failure by 18F-Fluorodeoxyglucose Positron emission tomography in patients with gastrointestinal stromal tumor
AU - Prior, John O.
AU - Montemurro, Michael
AU - Orcurto, Maria Victoria
AU - Michielin, Olivier
AU - Luthi, François
AU - Benhattar, Jean
AU - Guillou, Louis
AU - Elsig, Valérie
AU - Stupp, Roger
AU - Delaloye, Angelika Bischof
AU - Leyvraz, Serge
PY - 2009/1/20
Y1 - 2009/1/20
N2 - Purpose Positron emission tomography with 18F-fluorodeoxyglucose (FDG-PET) was used to evaluate treatment response in patients with gastrointestinal stromal tumors (GIST) after administration of sunitinib, a multitargeted tyrosine kinase inhibitor, after imatinib failure. Patients and Methods Tumor metabolism was assessed with FDG-PET before and after the first 4 weeks of sunitinib therapy in 23 patients who received one to 12 cycles of sunitinib therapy (4 weeks of 50 mg/d, 2 weeks off). Treatment response was expressed as the percent change in maximal standardized uptake values (SUV). The primary end point of time to tumor progression was compared with early PET results on the basis of traditional Response Evaluation Criteria in Solid Tumors (RECIST) criteria. Results Progression-free survival (PFS) was correlated with early FDG-PET metabolic response (P <.0001). Using - 25% and +25% thresholds for SUV variations from baseline, early FDG-PET response was stratified in metabolic partial response, metabolically stable disease, or metabolically progressive disease; median PFS rates were 29, 16, and 4 weeks, respectively. Similarly, when a single FDG-PET positive/negative was considered after 4 weeks of sunitinib, the median PFS was 29 weeks for SUVs less than 8 g/mL versus 4 weeks for SUVs of 8 g/mL or greater (P<.0001). None of the patients with metabolically progressive disease subsequently responded according to RECIST criteria. Multivariate analysis showed shorter PFS in patients who had higher residual SUVs (P <.0001), primary resistance to imatinib (P =.024), or nongastric GIST (P =.002), regardless of the mutational status of the KIT and PDGFRA genes. Conclusion Week 4 FDG-PET is useful for early assessment of treatment response and for the prediction of clinical outcome. Thus, it offers opportunities to individualize and optimize patient therapy.
AB - Purpose Positron emission tomography with 18F-fluorodeoxyglucose (FDG-PET) was used to evaluate treatment response in patients with gastrointestinal stromal tumors (GIST) after administration of sunitinib, a multitargeted tyrosine kinase inhibitor, after imatinib failure. Patients and Methods Tumor metabolism was assessed with FDG-PET before and after the first 4 weeks of sunitinib therapy in 23 patients who received one to 12 cycles of sunitinib therapy (4 weeks of 50 mg/d, 2 weeks off). Treatment response was expressed as the percent change in maximal standardized uptake values (SUV). The primary end point of time to tumor progression was compared with early PET results on the basis of traditional Response Evaluation Criteria in Solid Tumors (RECIST) criteria. Results Progression-free survival (PFS) was correlated with early FDG-PET metabolic response (P <.0001). Using - 25% and +25% thresholds for SUV variations from baseline, early FDG-PET response was stratified in metabolic partial response, metabolically stable disease, or metabolically progressive disease; median PFS rates were 29, 16, and 4 weeks, respectively. Similarly, when a single FDG-PET positive/negative was considered after 4 weeks of sunitinib, the median PFS was 29 weeks for SUVs less than 8 g/mL versus 4 weeks for SUVs of 8 g/mL or greater (P<.0001). None of the patients with metabolically progressive disease subsequently responded according to RECIST criteria. Multivariate analysis showed shorter PFS in patients who had higher residual SUVs (P <.0001), primary resistance to imatinib (P =.024), or nongastric GIST (P =.002), regardless of the mutational status of the KIT and PDGFRA genes. Conclusion Week 4 FDG-PET is useful for early assessment of treatment response and for the prediction of clinical outcome. Thus, it offers opportunities to individualize and optimize patient therapy.
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U2 - 10.1200/JCO.2008.17.2742
DO - 10.1200/JCO.2008.17.2742
M3 - Article
C2 - 19064982
AN - SCOPUS:58549106152
SN - 0732-183X
VL - 27
SP - 439
EP - 445
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 3
ER -