Goki Suda, Takuya Sho, Tamami Abe, Masashi Ninomiya, Kei Endo, Yudai Fujiwara, Hiroshi Numao, Go Igarashi, Mio Tsuruoka, Chikara Iino, Kenta Yoshida, Satoshi Sato, Masato Nakai, Masatsugu Ohara, Takashi Kitagataya, Tomohiro Katsumi, Keita Maki, Wataru Sato, Shinichiro Minami, Kazumichi Abe, Masashi Fujita, Yoshiya Yamamoto, Masaru Baba, Takashi Meguro, Takayoshi Oikawa, Nobukazu Tanabe, Yoshiyuki Ueno, Naoya Sakamoto, Hidekatsu Kuroda
Four clinically defined risk strata based on AFP and mALBI differentiated distinct patterns of treatment discontinuation, capturing both PD and toxicity-pathways. This framework may support risk-adapted monitoring and early treatment optimisation, but external validation is warranted.
BACKGROUND & AIMS: Atezolizumab plus bevacizumab (Atezo/Bev) is considered standard first-line therapy for unresectable hepatocellular carcinoma (HCC), yet reasons for treatment discontinuation vary, and conventional survival endpoints do not capture the time-varying probability of each cause. This multicentre retrospective study aimed to quantify the cause-specific discontinuation and its predictors.
METHODS: We analysed 685 consecutive patients treated with Atezo/Bev (10 excluded). Time to discontinuation was defined from treatment initiation to cessation and right-censored at last follow-up if ongoing. Discontinuation reasons were categorized as progressive disease (PD), adverse event (AE)-driven discontinuation (treatment-related AEs without hepatic decompensation), hepatic dysfunction-driven discontinuation (decompensation irrespective of mechanism), response/strategy change, and other causes. Cumulative incidence functions (CIFs) were estimated, and cause-specific Cox models were fitted with multiple imputation.
RESULTS: Discontinuation causes included PD (n=334), AE (n=125), hepatic dysfunction (n=48), response/strategy change (n=44), and other causes (n=35); 99 were censored. One-year CIFs were 0.394, 0.153, 0.056, 0.042, and 0.041, respectively. Baseline AFP predicted PD-driven discontinuation (HR 1.18 per log10[AFP+1]; p=3.95×10-5). AE-driven discontinuation was independently associated with age (HR 1.03/year), ECOG performance status ≥1 (HR 1.82), and ALBI (HR 1.07 per 0.1 increase; p=7.43×10-4). Hepatic dysfunction-driven discontinuation was strongly associated with age (HR 1.07/year; p=4.28×10-4) and ALBI (HR 1.29 per 0.1 increase; p=8.65×10-13). AFP (<400 vs ≥400 ng/mL) × mALBI (1/2a vs 2b/3) defined four strata. Low AFP/poor mALBI showed the highest 1-year toxicity-related discontinuation (CIF 0.339), whereas high AFP/good mALBI showed predominantly PD-driven discontinuation (CIF 0.520).
CONCLUSIONS: Four clinically defined risk strata based on AFP and mALBI differentiated distinct patterns of treatment discontinuation, capturing both PD and toxicity-pathways. This framework may support risk-adapted monitoring and early treatment optimisation, but external validation is warranted.
IMPACT AND IMPLICATIONS: Atezolizumab plus bevacizumab is a standard first-line regimen for unresectable HCC, yet discontinuation occurs for multiple reasons that are not captured by conventional survival summaries. Analysis of a large multicentre cohort revealed distinct patterns of treatment discontinuation along with clinical predictors. Baseline AFP primarily forecasted PD-driven discontinuation, whereas baseline liver function (ALBI) and older age dominated the risk of AE and hepatic decompensation. An AFP×mALBI matrix separated patients into distinct discontinuation pathways, identifying a low-AFP/poor-mALBI subgroup with high early toxicity-related discontinuation and a high-AFP/preserved-mALBI subgroup with predominantly PD-driven discontinuation. Since this framework has not yet been externally validated, it should be regarded as hypothesis-generating. Nevertheless, it may help clinicians consider risk-adapted monitoring, toxicity preparedness, and supportive care according to the dominant discontinuation risk.