Abstract

Sorafenib is associated with multiple adverse events (AEs), potentially causing its permanent interruption. It is unknown how physicians' experience has impacted on the management of these AEs and consequently on clinical outcomes. We aimed to assess whether AE management changed over time and if these modifications impacted on treatment duration and overall survival (OS). We analysed the prospectively collected data of 338 consecutive patients who started sorafenib between January 2008 and December 2017 in 3 tertiary care centres in Italy. Patients were divided according to the starting date: Group A (2008-2012; n = 154), and Group B (2013-2017, n = 184). Baseline and follow-up data were compared. In the OS analysis, patients who received second-line treatments were censored when starting the new therapy. Baseline characteristics, AEs, and radiological response were consistent across groups. Patients in Group B received a lower median daily dose (425 vs. 568 mg/day, p <0.001) due to more frequent dose modifications. However, treatment duration was longer (5.8 vs. 4.1 months, p = 0.021) with a trend toward a higher cumulative dose in Group B. Notably, the OS was also higher (12.0 vs. 11.0 months, p = 0.003) with a sharp increase in the 2-year survival rate (28.1 vs. 18.4%, p = 0.003) in Group B. Multivariate time-dependent Cox regression analysis confirmed later period of treatment (2013-2017) as an independent predictor of survival (HR 0.728; 95%CI 0.581-0.937; p = 0.013). Unconsidered confounders were unlikely to affect these results at the sensitivity analysis. Experience in the management of sorafenib-related AEs prolongs treatment duration and survival. This factor should be considered in the design of future randomised clinical trials including a sorafenib treatment arm, as an underestimate of sample size may derive. Sorafenib has been the standard frontline systemic treatment for hepatocellular carcinoma for over a decade. Its tolerability is limited by different adverse events, which might lead to its permanent discontinuation in a sizeable proportion of patients. After a careful analysis of potential confounders, we demonstrated that the physicians' experience in managing adverse events related to sorafenib has improved over time, with longer treatment periods and less permanent discontinuation for toxicities. More importantly, these improvements also translated into longer patient survival. Our results have relevant repercussions in clinical practice and in the design of future clinical trials.

Highlights

  • Sorafenib is a multitarget tyrosine kinase inhibitor (TKI) currently used for the treatment of hepatocellular carcinoma (HCC) not amenable to surgery or locoregional treatments [1]

  • adverse events (AEs), and radiological response were consistent across groups

  • 5) Baseline characteristics: Did you evaluate the possibility of DAA treatment for HCV-related HCC? This may impact in the differences of the treatment duration between the two periods, as patients achieving SVR are at lower risk of liver decompensation, and may be treated for longer periods of time

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Summary

Introduction

Sorafenib is a multitarget tyrosine kinase inhibitor (TKI) currently used for the treatment of hepatocellular carcinoma (HCC) not amenable to surgery or locoregional treatments [1]. Sorafenib significantly prolongs patients’ overall survival (OS), but its use is associated with different adverse events (AEs), mainly dermatological, gastrointestinal and cardiovascular [2,3]. The management of these AEs can require dose 11 reductions and temporary interruptions. The exact impact of the operators' experience on the prescribing patterns of sorafenib has been investigated rarely [4] It is not known whether this 20 phenomenon can lead to an increase in OS. A very recent monocentric study [10] suggested that the experience in managing sorafenib AEs has improved overtime, but rigorous multicentric studies taking into account timedependent variables, addressing the possible confounding factor of second-line treatments, and providing a confirmation of the survival benefit through multivariable regressions models are still lacking

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