BACKGROUND AND AIMS: The aim of this study was to identify the utility of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) as a predictor of early progressive disease (e-PD) in patients with hepatocellular carcinoma (HCC) treated with atezolizumab plus bevacizumab (Atezo/Bev). METHODS: Twenty consecutive patients with measurable intrahepatic target nodules who received Atezo/Bev treatment were reviewed. The oncological aggressiveness of tumors estimated by 18F-FDG-PET/CT was analyzed using the rate of e-PD within 12 weeks and early progression-free survival (e-PFS) and overall survival (OS). Multivariate analysis was used to identify potential confounders for PD during Atezo/Bev therapy. RESULTS: Using the Response Evaluation Criteria in Solid Tumors version 1.1, a tumor-to-normal liver ratio (TLR) ≥2, indicating higher oncological aggressiveness in HCCs, was associated with lower objective response rates compared with TLR values <2 (18% vs. 33%, respectively). Moreover, TLR values ≥2 were significantly associated with higher e-PD rates compared with TLR values <2 (64% vs. 11%, respectively) and worse e-PFS (p = 0.021). In multivariate analysis, TLR ≥2 showed marginal significance as a predictor of e-PD (p = 0.053), and utility as a predictor for worse e-PFS (hazard ratio, 7.153; 95% confidence interval, 1.258-40.689; p = 0.027). In contrast, no significant differences in OS with/without e-PD were observed during the treatment course. In this study, 8 patients experienced e-PD and almost 40% of patients experienced acceptable disease control following subsequent lenvatinib treatment. CONCLUSION: Pretreatment 18F-FDG-PET/CT may be a useful new predictor of e-PD and may enable early decision-making based on early treatment changes following Atezo/Bev treatment of HCC.
BACKGROUND AND AIMS: The aim of this study was to identify the utility of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) as a predictor of early progressive disease (e-PD) in patients with hepatocellular carcinoma (HCC) treated with atezolizumab plus bevacizumab (Atezo/Bev). METHODS: Twenty consecutive patients with measurable intrahepatic target nodules who received Atezo/Bev treatment were reviewed. The oncological aggressiveness of tumors estimated by 18F-FDG-PET/CT was analyzed using the rate of e-PD within 12 weeks and early progression-free survival (e-PFS) and overall survival (OS). Multivariate analysis was used to identify potential confounders for PD during Atezo/Bev therapy. RESULTS: Using the Response Evaluation Criteria in Solid Tumors version 1.1, a tumor-to-normal liver ratio (TLR) ≥2, indicating higher oncological aggressiveness in HCCs, was associated with lower objective response rates compared with TLR values <2 (18% vs. 33%, respectively). Moreover, TLR values ≥2 were significantly associated with higher e-PD rates compared with TLR values <2 (64% vs. 11%, respectively) and worse e-PFS (p = 0.021). In multivariate analysis, TLR ≥2 showed marginal significance as a predictor of e-PD (p = 0.053), and utility as a predictor for worse e-PFS (hazard ratio, 7.153; 95% confidence interval, 1.258-40.689; p = 0.027). In contrast, no significant differences in OS with/without e-PD were observed during the treatment course. In this study, 8 patients experienced e-PD and almost 40% of patients experienced acceptable disease control following subsequent lenvatinib treatment. CONCLUSION: Pretreatment 18F-FDG-PET/CT may be a useful new predictor of e-PD and may enable early decision-making based on early treatment changes following Atezo/Bev treatment of HCC.
Authors: Richard S Finn; Shukui Qin; Masafumi Ikeda; Peter R Galle; Michel Ducreux; Tae-You Kim; Masatoshi Kudo; Valeriy Breder; Philippe Merle; Ahmed O Kaseb; Daneng Li; Wendy Verret; Derek-Zhen Xu; Sairy Hernandez; Juan Liu; Chen Huang; Sohail Mulla; Yulei Wang; Ho Yeong Lim; Andrew X Zhu; Ann-Lii Cheng Journal: N Engl J Med Date: 2020-05-14 Impact factor: 91.245
Authors: Ryusuke Nakamoto; Lisa C Zaba; Jarrett Rosenberg; Sunil Arani Reddy; Tomomi Watanabe Nobashi; Guido Davidzon; Carina Mari Aparici; Judy Nguyen; Farshad Moradi; Andrei Iagaru; Benjamin Lewis Franc Journal: Eur J Nucl Med Mol Imaging Date: 2020-04-15 Impact factor: 9.236
Authors: Kimiteru Ito; Heiko Schöder; Rebecca Teng; John L Humm; Ai Ni; Jedd D Wolchok; Wolfgang A Weber Journal: Eur J Nucl Med Mol Imaging Date: 2018-11-28 Impact factor: 9.236
Authors: Ryusuke Nakamoto; Lisa C Zaba; Jarrett Rosenberg; Sunil Arani Reddy; Tomomi W Nobashi; Valentina Ferri; Guido Davidzon; Carina Mari Aparici; Judy Nguyen; Farshad Moradi; Andrei Iagaru; Benjamin Lewis Franc Journal: Mol Imaging Biol Date: 2020-08-12 Impact factor: 3.488