Literature DB >> 35347395

Lenvatinib plus pembrolizumab for systemic therapy-naïve and -experienced unresectable hepatocellular carcinoma.

Chi-Jung Wu1,2,3, Pei-Chang Lee1,3, Ya-Wen Hung1, Chieh-Ju Lee1, Chen-Ta Chi1,2,3, I-Cheng Lee1,3, Ming-Chih Hou1,3, Yi-Hsiang Huang4,5,6.   

Abstract

BACKGROUND: Lenvatinib combined with pembrolizumab showed a promising result in an early phase study for hepatocellular carcinoma (HCC). The efficacy and safety of lenvatinib plus pembrolizumab for patients with unresectable HCC (uHCC) beyond the first-line setting were unclear.
METHODS: Seventy-one consecutive patients who received lenvatinib plus pembrolizumab for uHCC were prospectively enrolled. Effect of lenvatinib combinations on Albumin-Bilirubin (ALBI) score and factors associated with progression-free survival (PFS) and overall survival (OS) were analyzed.
RESULTS: Of the 71 cases, 58 (81.7%) were in BCLC C. There were 44 (62%) for the first-line systemic treatment, and 27 (38%) had experienced targeted therapy or nivolumab treatment. The objective response rate and disease control rate (DCR) were 34.1% and 84.1% for the first-line setting, and 18.5% and 70.4% for systemic therapy-experienced cases (Response Evaluation Criteria in Solid Tumors version 1.1, RECIST v1.1), respectively. The mean ALBI score was stable during the treatment course. After a median of 9.3 months of follow-up, the median PFS was 9.3 months versus 4.4 months, and the median OS was not estimable yet versus 12 months for Child-Pugh A versus B patients, respectively. Prior nivolumab failure was the only significant factor associated with poorer PFS (HR = 3.253, p = 0.004). Child-Pugh class B (HR = 2.646, p = 0.039) and prior nivolumab failure (HR = 3.340, p = 0.014) were independent factors for poorer OS in multivariate analysis.
CONCLUSIONS: A high DCR was observed by lenvatinib/pembrolizumab combination without adverse effect on ALBI score for systemic therapy-naïve and -experienced uHCC. Suboptimal response to prior nivolumab-failed patients requires further exploration.
© 2022. The Author(s).

Entities:  

Keywords:  First-line setting; HCC; Immunotherapy; Systemic therapy; Target therapy

Mesh:

Substances:

Year:  2022        PMID: 35347395      PMCID: PMC9519717          DOI: 10.1007/s00262-022-03185-6

Source DB:  PubMed          Journal:  Cancer Immunol Immunother        ISSN: 0340-7004            Impact factor:   6.630


Introduction

Hepatocellular carcinoma (HCC) is the most common primary malignancy of the liver and ranks as the fourth leading cause of cancer-related mortality in the world [1]. Early stage HCC can be curatively treated by surgery, transplantation, or ablation [2]. Locoregional treatment by transarterial chemoembolization (TACE) is the standard of care for intermediate-stage HCC, but the complete response rate is low [3, 4]. For patients with advanced HCC, systemic treatment by sorafenib can only provide a limited response [5-7]. In recent years, several antiangiogenic multikinase inhibitors (MKI) or antibody and immunotherapy by immune checkpoint inhibitors (ICIs) have become available for advanced HCC [5, 6, 8–13]. Nivolumab and pembrolizumab are both ICIs that block programmed death 1 (PD-1) and have shown response rates of 17–20% in phase I/II studies [12, 13]. The phase III study of pembrolizumab in a second-line setting failed to reach a prespecified p-value, but clinically meaningful outcomes were observed [14]. Vascular endothelial growth factor (VEGF) inhibitor could enhance antitumor immunity restored by PD-1/PD-L1 antibody by antagonizing the VEGF-mediated immunosuppressive effect within the tumor microenvironment [15, 16]. Promising results with survival benefits have been confirmed for atezolizumab plus bevacizumab in a phase III trial for HCC [17]. Currently, there are multiple phase III clinical trials being conducted to examine combination therapies of ICI plus MKI or ICI plus ICI. These combinations include lenvatinib plus pembrolizumab, atezolizumab plus cabozantinib, durvalumab plus tremelimumab, and nivolumab plus ipilimumab in a first-line setting [10, 18–21]. Among this list, lenvatinib plus pembrolizumab has shown promising data for the response rate and survival in the phase 1b study [18]. Previous clinical trials excluded patients with high-risk tumors (tumor volume ≥ 50% of the liver volume, main portal vein invasion, or biliary tract invasion) and decompensated liver function [8, 18]. Thus, it remains unclear whether such patients could respond to lenvatinib plus pembrolizumab, and safety profiles should be further delineated. Therefore, this study reports the treatment responses, risks of treatment-related adverse effects (TRAEs), albumin-bilirubin (ALBI) score changes [22], and survival in response to lenvatinib plus pembrolizumab in the first-line setting or in cases where prior systemic treatment failed in patients with unresectable HCC. Furthermore, we also identify predictors associated with survival.

Materials and methods

Patients

This study prospectively enrolled consecutive 71 patients with unresectable HCC who received lenvatinib plus pembrolizumab from July 2019 to February 2021 at Taipei Veterans General Hospital. Both lenvatinib and pembrolizumab had been approved for HCC by the Taiwan Food and Drug Administration (TFDA) before this study began. The key inclusion criteria included age > 20 years; diagnosis of HCC confirmed by pathologic or radiographic features according to the American Association for the Study of Liver Diseases (AASLD) criteria; and HCC status of Barcelona Clinic Liver Cancer (BCLC) stage B or C not amenable or refractory to TACE. High-risk tumors were allowed in this study, including tumors with size ≥ 50% of the liver size, main portal vein invasion (Vp4), or biliary tract invasion. The exclusion criteria were patients who had concurrent cancer other than HCC, hepatic encephalopathy, severe comorbidities (end-stage renal disease, acute coronary syndrome, cerebrovascular accident, severe heart failure, severe arrhythmia, and severe trauma), Child–Pugh class C, and underlying autoimmune diseases. The dose of lenvatinib complied with the standard body weight (BW)-based recommendation (12 mg for BW ≧ 60 kg, 8 mg for BW < 60 kg, orally once daily). Pembrolizumab was administered intravenously at 200 mg or 2–3 mg/kg every 3 weeks [23-25]. This study was approved by the Institutional Review Board of Taipei Veterans General Hospital (IRB number: 2020–06-033BC, 2021–07-040BC). The study complied with the standards of the Declaration of Helsinki and current ethical guidelines. All patients signed informed consent forms.

Assessment and follow-up

For this prospective study, all patients had a uniform protocol for monitoring and assessment. Tumor assessment imaging (computed tomography, magnetic resonance imaging, or both) was performed before starting the treatment and repeated every 9 weeks. Serum alpha-fetoprotein (AFP) was measured every 3 weeks until image-confirmed progression occurred. Early AFP response (> 10%) for patients with baseline AFP ≥ 10 ng/mL was defined as a reduction of AFP > 10% within 4 weeks of the treatment [25]. Any AFP response for patients with baseline AFP ≥ 10 ng/mL was defined as any degree of AFP reduction within 4 weeks of the treatment. The response was assessed according to the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST v1.1) [26] and hepatocellular carcinoma-specific modified RECIST (mRECIST) [27]. TRAEs were graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events (version 5.0).

End points

The primary end point was the tumor response, including the objective response rate (ORR) and disease control rate (DCR) evaluated by RECIST v1.1 and mRECIST. The secondary end points were progression-free survival (PFS), overall survival (OS), time to response (TTR), time to progression (TTP, defined as time from starting treatment to the first progressive disease (PD)), duration of response (DOR, defined as time from the first partial response (PR) or complete response (CR) to PD or death), and incidence of TRAEs.

Clinical features, biochemistry tests, serological markers and PD-L1 expression analysis

The following clinical features and biochemical data were collected for analysis: age, sex, BCLC stage, Child–Pugh score, serum AFP, alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine, albumin, total bilirubin levels, platelet count, and prothrombin time (international normalized ratio (INR)). Serum biochemistry tests were done using a systemic multi-autoanalyzer (Technicon SMAC, Technicon Instruments Corp., Tarrytown, NY). Serum AFP was measured using radio-immunoassay kits (Abbott Laboratories, North Chicago, IL and Serono Diagnostic SA, Coinsin/VD, Switzerland, respectively). PD-L1expression was measured by an immunohistochemistry pharmDx assay (Agilent Technologies, Santa Clara, CA, USA) with anti-PD-L1 22C3 antibody on archival or newly obtained biopsy HCC tissues [25]. Expression levels are reported as the tumor proportion score (TPS) and combined positive score (CPS) [28]. TPS or CPS ≧ 1% was defined as a positive result.

Statistical analysis

Categorical data were compared using Fisher’s exact test or Pearson’s chi-squared analysis. ORRs were calculated with the 95% confidence interval (CI) using the Clopper-Pearson method. For patients with confirmed PR or CR, DOR and TTR were analyzed. The changes in ALBI score were estimated by a linear mixed model, which can be used to analyze an outcome measured repeatedly from the same individuals. The Kaplan–Meier method with the log-rank test was applied for OS, PFS, TTP, and DOR. Variables that achieved statistical significance (p < 0.05) or were close to significance (p < 0.10) in the univariate analysis were examined in a multivariate analysis. For all analyses, p < 0.05 was considered statistically significant. All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS 28.0 for Windows, SPSS Inc, Chicago, IL) and GraphPad Prism version 9.1 (GraphPad Software, La Jolla, CA, USA).

Results

Patient characteristics

The baseline characteristics of the 71 HCC patients are listed in Table 1. The median age was 63 years, and 87.3% of the patients were male. Most patients were within Child–Pugh class A (n = 51, 71.8%), ECOG performance status of 0/1 (n = 62, 87.3%), and BCLC C (n = 58, 81.7%). The etiology of HCC was predominantly hepatitis B virus (HBV) (63.4%).
Table 1

Baseline characteristics of the 71 HCC patients

ParameterEntire cohortFirst-line settingSystemic therapy-experiencedp value
(n = 71)(n = 44)(n = 27)
Median age, years (range)63 (28–89)62 (38–85)69 (28–89)0.305
Male, n (%)62 (87.3)36 (81.8)26 (96.3)0.139
ECOG (0/ 1/ 2), n (%)43 (60.6)/ 19(26.8)/ 9(12.7)30 (68.2)/10(22.7)/4(9.1)13 (48.1)/9(33.3)/5(18.5)0.225
BMI(kg/m2), median ± SD23.23 ± 4.2323.68 ± 4.9023.05 ± 2.810.33
Child–Pugh class (A/B), n (%)51 (71.8)/ 20(28.2)33 (75)/11(25)18 (66.7)/9(33.3)0.588
ALBI grade (1/ m2a/ m2b/ 3), n (%)28 (39.4)/15(21.1)/25(35.2)/3(4.2)22 (50)/9(20.5)/13(29.5)/0(0)6 (22.2)/6(22.2)/12(44.4)/3(11.1)0.026
FIB-4 score, median (range)4.33 (0.77–31.68)3.56(0.77–11.94)4.62(1.61–31.68)0.181
BCLC stage (B/C), n (%)13 (18.3)/58(81.7)8 (18.2)/36(81.8)5 (18.5)/22(81.5)1
Etiology (HBV/ HCVa/ Other), n (%)45 (63.4)/11(15.5)/18(25.4)28 (63.6)/5(11.4)/12(27.3)17(63)/6(22.2)/6(22.2)0.635d
Portal vein invasion, n (%)41 (57.7)27 (61.4)14 (51.9)0.431
Main portal vein invasion (Vp4), n (%)15 (21.1)11 (25)4 (14.8)0.307
Biliary tract invasion, n (%)2 (2.8)1 (2.3)1 (3.7)1
Extrahepatic metastasis, n (%)32 (45.1)17 (38.6)15 (55.6)0.164
Multiple tumors, n (%)50 (70.4)29(65.9)21(77.8)0.287
Tumor volume, ≥ 50% liver volume, n (%)17 (23.9)12 (27.3)5 (18.5)0.401
Serum AFP level, > 400 ng/ml, n (%)32 (45.1)21 (47.7)11 (40.7)0.566
Prior systemic treatment, n (%)
Nil44 (62)44 (100)0 (0)
Sorafenib15 (21.1)0 (0)15 (55.6)
Sorafenib followed by regorafenib8 (11.3)0 (0)8 (29.6)
Lenvatinib2 (2.8)0 (0)2 (7.4)
Nivolumab ± MKIb9 (12.7)0 (0)9 (33.3)
N/L ratio, median ± SD3.52 ± 4.794.81 ± 6.652.96 ± 4.500.018
AST (U/L), median ± SD56 ± 6856 ± 7256 ± 630.914
ALT (U/L), median ± SD39 ± 6338 ± 4442 ± 850.322
PT (INR), median ± SD1.18 ± 0.141.18 ± 0.121.18 ± 0.170.324
Platelet count (109 /L), median (range)139 (27–610)151 (44–610)119 (27–451)0.324
Creatinine (mg/dl), median ± SD0.88 ± 0.760.82 ± 0.830.91 ± 0.650.799
PD-L1 expression, CPS ≥ 1%, n (%)c18 (37.5)13 (41.9)5 (29.4)0.391

AFP alpha-fetoprotein, BCLC barcelona clinic liver cancer, CPS combined positive score, ECOG eastern cooperative oncology group, HBV hepatitis B virus, HCV hepatitis C virus, N/L ratio neutrophil-to-lymphocyte ratio, PD-L1 programmed death ligand 1. SD, standard deviation

a3 patients with HBV-HCV co-infection

b7 patients received both nivolumab and MKIs before and 2 patients received nivolumab only

cPD-L1 data were available in 48 patients

dCompare viral hepatitis and non-viral hepatitis

Baseline characteristics of the 71 HCC patients AFP alpha-fetoprotein, BCLC barcelona clinic liver cancer, CPS combined positive score, ECOG eastern cooperative oncology group, HBV hepatitis B virus, HCV hepatitis C virus, N/L ratio neutrophil-to-lymphocyte ratio, PD-L1 programmed death ligand 1. SD, standard deviation a3 patients with HBV-HCV co-infection b7 patients received both nivolumab and MKIs before and 2 patients received nivolumab only cPD-L1 data were available in 48 patients dCompare viral hepatitis and non-viral hepatitis There were 44 (62%) patients who were treated in the first-line setting, while the other 27 (38%) patients had experienced prior systemic therapy including MKIs or ICI (sorafenib (n = 15), sorafenib followed by regorafenib (n = 8), lenvatinib (n = 2), nivolumab (n = 9)). There were 28 patients who had high-risk tumors, including tumor volume ≧ 50% of the liver volume (n = 17), main portal vein invasion (n = 15), and biliary tract invasion (n = 2). Compared with patients who received prior systemic therapy, patients in the first-line setting had a higher proportion with ALBI grade 1 and higher N/L ratios.

Tumor response

During a median follow-up duration of 9.3 months (range, 0.7 to 17.8 months), CR was achieved in 1 (1.5%) patient according to RECIST v1.1 and 4 (5.6%) patients according to mRECIST. The ORR was 28.2% (95% CI, 17.5% to 38.9%) according to RECIST v1.1 and 57.7% (95% CI, 46% to 69.5%) according to mRECIST. DCR was 78.9% (95% CI, 69.1% to 88.6%) according to RECIST v1.1 and 80.3% (95% CI, 70.8% to 89.8%) according to mRECIST (Table 2).
Table 2

Best objective response evaluated by RECIST 1.1 and mRECIST in HCC patients in the first-line setting or with prior systemic therapy failure

Parameter, n (%)Entire cohort (n = 71)RECIST v1.1mRECIST
RECIST v1.1mRECISTFirst-line settingSystemic therapy-experiencedp ValueFirst-line settingSystemic therapy-experiencedp Value
(n = 44)(n = 27)(n = 44)(n = 27)
CR1 (1.5)4 (5.6)1 (2.3)0 (0)13 (6.8)1 (3.7)1
PR19 (28.4)37 (52.1)14 (31.8)5 (18.5)0.21926 (59.1)11 (40.7)0.133
SD36 (53.7)16 (22.5)22 (50)14 (51.9)0.889 (20.5)7 (25.9)0.592
PD15 (21.1)14 (19.7)7 (15.9)8 (29.6)0.7376 (13.6)8 (29.6)0.1
ORR20 (28.2)41 (57.7)15 (34.1)5 (18.5)0.15729 (65.9)12 (44.4)0.075
DCR56 (78.9)57 (80.3)37 (84.1)19 (70.4)0.16938 (86.4)19 (70.4)0.1
For responders
Median TTR, months (range)2.3 (1.8–8.6)2.17 (1–8)2.4 (1.8–8.6)2.3 (1.93–4.13)0.1172.2 (1–8)2.03 (1–3)0.09
Estimate DOR, months (95% CI)9.3 (NE)7.0 (3.4–10.6)7.0 (4.4–9.5)NE0.139 (3.6–14.4)6.8 (0–15.4)0.612

CR complete response, DCR disease control rate, DOR duration of response, mRECIST modified RECIST, ORR objective response rate, PD progressive disease, PR partial response, SD stable disease, TTR time to response, NE not estimable

Best objective response evaluated by RECIST 1.1 and mRECIST in HCC patients in the first-line setting or with prior systemic therapy failure CR complete response, DCR disease control rate, DOR duration of response, mRECIST modified RECIST, ORR objective response rate, PD progressive disease, PR partial response, SD stable disease, TTR time to response, NE not estimable For the responders, the median TTR was 2.3 months (range, 1.8 to 8.6) according to RECIST v1.1. The median DOR according to RECIST v1.1 was 9.3 months (95% CI, NE) (Table 2). The ORR for the first-line setting was 34.1%, which is numerically higher than the result of 18.5% for cases that had experienced prior systemic therapy (RECIST v1.1). Compared with the first-line setting, numerically lower ORR and DCR were observed in patients with prior systemic therapy according to both RECIST v1.1 and mRECIST (Table 2). For patients with only MKI experience, the ORR and DCR were 27.8% (vs. 34.1%, p = 0.629) and 83.3% (vs. 84.1%, p = 1.000) compared with those in the first-line setting (RECIST v1.1), respectively. The ORR for the patients with high-risk tumors was numerically lower than that of patients with low-risk tumors (25% vs. 30.2%, p = 0.632). The DCR was similar between the two groups (85.7% vs. 74.4%, p = 0.254). The ORR was 25% for Child–Pugh B patients, which was numerically lower than the result of 29.4% for Child–Pugh A patients (p = 0.710) (RECIST v1.1) (Supplementary Table 1). Among all 71 patients, the median TTP was 11.2 months (95% CI, 5.1–17.3) according to RECIST v1.1 and 10.9 months (95% CI, 8.4–13.5) according to mRECIST. The TTP was 15.3 months (95% CI, 3.6–27.0) for patients in the first-line setting and 9.4 months (95% CI, 2.8–16.1) for patients with prior systemic therapy (RECIST v1.1).

PFS and OS

The median PFS was 8.7 months (95% CI, 6.1–11.3 months) according to RECIST1.1 (Fig. 1a), 9.2 months (95% CI, 6.1–12.3 months) for patients in the first-line setting, and 4.9 months (95% CI, 0.3–9.5 months) for cases that experienced prior systemic therapy (RECIST v1.1, p = 0.092, Fig. 1b). The median OS was 16.4 months overall (95%CI, 11.9–21.0 months, Fig. 1c), 16.4 months (95% CI, 12.4–20.5) for patients in the first-line setting, and not estimable for patients with prior systemic therapy (RECIST v1.1, p = 0.682, Fig. 1d).
Fig. 1

Progression-free survival (PFS) and overall survival (OS) of entire cohort of HCC patients. Kaplan–Meier estimates of PFS according to RECIST v1.1 a among all 71 patients b stratified by systemic therapy-naïve and -experienced patients; OS c among entire 71 patients and d stratified by systemic therapy-naïve and -experienced patients

Progression-free survival (PFS) and overall survival (OS) of entire cohort of HCC patients. Kaplan–Meier estimates of PFS according to RECIST v1.1 a among all 71 patients b stratified by systemic therapy-naïve and -experienced patients; OS c among entire 71 patients and d stratified by systemic therapy-naïve and -experienced patients Compared to patients with Child–Pugh A, poorer median PFS was noted for Child–Pugh B patients (9.3 months vs. 4.4 months), but the difference was not statistically significant (Fig. 2a). Child–Pugh class also affected OS: patients with Child–Pugh A had significantly better median OS than those with Child–Pugh B (not reached vs. 12 months, p = 0.017) (Fig. 2b). Among the 44 patients in the first-line setting, the median PFS was 10.6 months (95% CI, 5.7–15.5) for patients with Child–Pugh A and 8.0 months (95% CI, 1.9–14.1) for patients with Child–Pugh B (RECIST v1.1, p = 0.177, Fig. 2c). The median OS was not estimable for patients with Child–Pugh A and 8.0 months (95% CI, 0.3–15.7) for patients with Child–Pugh B (RECIST v1.1, p = 0.010, Fig. 2d).
Fig. 2

Progression-free survival (PFS) and overall survival (OS) based on Child–Pugh class and tumor risk. Kaplan–Meier estimates of a PFS according to RECIST v1.1 among all 71 patients; b OS among entire cohort; c PFS according to RECIST v1.1 in the first-line-setting patients; d OS in the first-line-setting patients; e PFS according to RECIST v1.1; f OS stratified by tumor risk

Progression-free survival (PFS) and overall survival (OS) based on Child–Pugh class and tumor risk. Kaplan–Meier estimates of a PFS according to RECIST v1.1 among all 71 patients; b OS among entire cohort; c PFS according to RECIST v1.1 in the first-line-setting patients; d OS in the first-line-setting patients; e PFS according to RECIST v1.1; f OS stratified by tumor risk Although the PFS (7.0 vs. 9.0 months, p = 0.596) was not significantly different between patients with high-risk and low-risk tumors (Fig. 2e), poorer OS was observed among patients with high-risk tumors (12 months vs. not reached, p = 0.025) in the Kaplan–Meier survival analysis (Fig. 2f). The PFS and OS of patients based on treatment responses are shown in Fig. 3a, b. Patients who achieved an objective response had significantly better PFS (15.3 vs. 2.1 months, p < 0.001) and OS (Not reached vs. 11.8 months, p = 0.018) than PD patients.
Fig. 3

Progression-free survival (PFS) and overall survival (OS) according to the treatment response to lenvatinib plus pembrolizumab. Kaplan–Meier curves of a PFS according to RECIST v1.1; b OS stratified by treatment response. CR, complete response; PD, progressive disease; PR, partial response; SD, stable disease

Progression-free survival (PFS) and overall survival (OS) according to the treatment response to lenvatinib plus pembrolizumab. Kaplan–Meier curves of a PFS according to RECIST v1.1; b OS stratified by treatment response. CR, complete response; PD, progressive disease; PR, partial response; SD, stable disease

Early AFP response

For the 53 patients with baseline AFP ≥ 10 ng/ml, 42 (79.2%) had AFP reduction within 4 weeks with a median AFP change to − 43.6%. Interestingly, both patients with and without objective response according to RECIST v1.1 had significant AFP reduction (median: − 48.6% vs. − 36.3%, p = 0.456). There was no significant difference in ORR (33.3% vs. 28.6%, p = 1.000) and DCR (87.2% vs. 71.4%, p = 0.222) between patients with and without early AFP reduction (> 10%) [25].

ALBI score changes and safety profiles

The median number of cycles of pembrolizumab was 7 cycles (range, 1–26 cycles), and the median dose of lenvatinib was 84.7% of the standard dose (interquartile range, 68.7% to 100%). Figure 4a shows the changes in ALBI score among patients who received lenvatinib plus pembrolizumab according to a linear mixed model. The mean ALBI score remained stable during the treatment course (p = 0.099). In addition, the ALBI score in the systemic therapy-naïve subgroup (n = 44) and systemic therapy-experienced subgroup (n = 27) both showed no significant change with respect to the treatment cycles (p = 0.406, Fig. 4b; p = 0.102 Fig. 4c).
Fig. 4

ALBI score changes during the treatment course. Change in mean ALBI score among a entire cohort patients (n = 71); b systemic therapy-naïve subgroup (n = 44); and c systemic therapy-experienced subgroup (n = 27). ALBI, albumin–bilirubin; SD, standard deviation

ALBI score changes during the treatment course. Change in mean ALBI score among a entire cohort patients (n = 71); b systemic therapy-naïve subgroup (n = 44); and c systemic therapy-experienced subgroup (n = 27). ALBI, albumin–bilirubin; SD, standard deviation TRAEs occurred in 97.2% (69/71) of patients (Supplementary Table 2), including 27 (96.4%) of the systemic therapy-naïve patients and 42 (97.7%) of the systemic therapy-experienced cases. The most common any-grade TRAE was fatigue (56.3%), followed by hypertension (49.3%), palmer-plantar syndrome (46.5%), decreased appetite (40.8%), and hypothyroidism (38%). The most common AEs with grade ≧ 3 were hepatitis (7%), hypertension (4.2%), decreased appetite (4.2%), and skin psoriasis flare (4.2%). Variceal bleeding was noted in 4 patients. Dose reduction of lenvatinib occurred in 20 (28.2%) cases. AEs led to interruption of pembrolizumab treatment in 9 (12.7%) cases, and 29 (40.8%) cases used steroids due to an impression of immune-related adverse events. Of the 29 cases that used steroid treatment, 10 cases received IV methylprednisolone (0.5–1 mg/kg/day) for grade 3/4 immune-related adverse events and grade 2 pneumonitis. The other 19 patients received a low-dose (< 10 mg/day) oral form of prednisolone for skin rash, pruritus, and grade 1/2 hepatitis. Discontinuation of the combination treatment because of TRAEs was noted in 3 (4.2%) patients (1 case of colitis and 2 cases of pneumonitis). In general, patients with prior systemic therapy did not have significantly higher risk of any grade of TRAE than patients in the first-line setting except for a higher chance of pruritus (44.4% vs. 15.9%) in patients with prior systemic therapy. The occurrence rate of grade 3/4 TRAEs was 35.7% in patients with high-risk tumors (18.6% in patients with low-risk tumors, p = 0.105) and 35% in patients with Child–Pugh B (21.6% in patients with Child–Pugh A, p = 0.242) (Supplementary Table 3).

Factors associated with PFS and OS

In the univariate analysis, ECOG status ≥ 1, INR > 1.2, and prior nivolumab experience were factors associated with PFS according to RECIST v1.1. In the multivariate analysis, previous experience with nivolumab (HR = 3.253, 95% CI: 1.473 to 7.183, p = 0.004) was the only independent risk factor for PFS (Supplementary Table 4 and Fig. 5a). Factors associated with OS in the univariate analysis were ECOG status ≧ 1, bile duct involvement, Child–Pugh class B, and prior systemic therapy using nivolumab. In the multivariate analysis, Child–Pugh class B (HR = 2.646, 95% CI: 1.053 to 6.651) and previous nivolumab experience (HR = 3.340, 95% CI:1.277 to 8.734) were significant prognostic factors for poorer OS (Table 3 and Fig. 5b). Among patients naïve to nivolumab, the PFS and OS of those with MKI experience were 9.4 months (vs. 9.2 months, p = 0.772) and not reached (vs. 16.4 months, p = 0.261), respectively, in comparison to those in the first-line setting (Supplementary Fig. 1).
Fig. 5

Prior nivolumab treatment associated with worse progression-free survival (PFS) and overall survival (OS). Kaplan–Meier curves of a PFS according to RECIST v1.1; b OS stratified by nivolumab experience

Table 3

Univariate and multivariate analyses for factors associated with overall survival

CharacteristicsUnivariate analysisMultivariate analysis
HR95% CIp ValueHR95% CIp Value
Age (yrs) > 60 versus ≤ 601.7970.773–4.1750.173
GenderMale versus female1.0910.326–3.6500.887
ECOG ≥ 1Yes versus no2.781.226–6.3020.0141.8890.774–4.6080.162
Etiology (viral hepatitis)Yes versus no0.60.258–1.4000.237
Tumor numberMultiple versus single0.7820.336–1.8180.568
Tumor ≥ 50% liver volumeYes versus no1.9550.833–4.5860.123
Main portal vein invasionYes versus no1.0490.393–2.7980.923
Bile duct involvementYes versus no6.0021.338–26.9340.0192.5250.524–12.1730.249
Extrahepatic metastasisYes versus no0.6210.274–1.4080.254
BCLC stageStage C versus B1.0890.408–2.9060.865
AFP ng/mL > 400 versus ≤ 4002.160.952–4.9020.0652.2190.950–5.1870.066
NLR > 2.5 versus ≤ 2.51.1790.468–2.9690.727
 > 5 versus ≤ 51.8320.735–4.5660.194
INR > 1.2 versus ≤ 1.20.5750.240–1.3820.216
Platelet count > 100 versus ≤ 1001.3080.490–3.4920.592
ALT, U/L > 40 versus ≤ 400.8160.370–1.7980.614
AST, U/L > 40 versus ≤ 401.2220.523–2.8530.643
Child–Pugh classClass B versus A2.6291.153–5.9940.0212.6461.053–6.6510.039
ALBI gradem2b/ 3 versus 1/m2a1.8370.836–4.0370.13
Fib-4 score > 6.5 versus ≦ 6.51.3380.558–3.2070.514
Systemic treatment≧ 2nd line versus 1st line1.1820.531–2.6350.682
MKI experienceYes versus No1.2050.531–2.7350.655
Nivolumab experienceYes versus no3.3351.381–8.0550.0073.341.277–8.7340.014
Early AFP response (≥ 10%)aYes versus no1.6330.472–5.6500.438
Early AFP response (any)bYes versus no1.1640.337–4.0230.81

53 patients with baseline AFP ≥ 10 ng/ml were analyzed

AFP alpha-fetoprotein, ALT alanine aminotransferase, AST aspartate aminotransferase, BCLC barcelona clinic liver cancer, CI confidence interval, ECOG eastern cooperative oncology group, INR international normalized ratio, MKI multikinase inhibitor, NLR neutrophil-to-lymphocyte ratio

aAFP reduction ≥ 10% within 4 weeks according to 10–10 rule

bAFP reduction in any degree within 4 weeks

Prior nivolumab treatment associated with worse progression-free survival (PFS) and overall survival (OS). Kaplan–Meier curves of a PFS according to RECIST v1.1; b OS stratified by nivolumab experience Univariate and multivariate analyses for factors associated with overall survival 53 patients with baseline AFP ≥ 10 ng/ml were analyzed AFP alpha-fetoprotein, ALT alanine aminotransferase, AST aspartate aminotransferase, BCLC barcelona clinic liver cancer, CI confidence interval, ECOG eastern cooperative oncology group, INR international normalized ratio, MKI multikinase inhibitor, NLR neutrophil-to-lymphocyte ratio aAFP reduction ≥ 10% within 4 weeks according to 10–10 rule bAFP reduction in any degree within 4 weeks

Role of PD-L1 expression in tumor response and survival

There were 48 patients with available liver-tumor tissues for the determination of PD-L1 expression (25 archival specimens and 23 freshly derived specimens). In general, the ORR was higher in TPS-positive cases (58.3% vs. 25%, p = 0.073) and CPS-positive cases (50% vs. 23.3%, p = 0.058) based on RECIST v1.1 (Supplementary Table 5). The median PFS for TPS-positive and negative patients were 15.3 months and 8.7 months (p = 0.208, Fig. 6a), while those for CPS-positive and negative patients were 15.3 months and 8.7 months (p = 0.103, Fig. 6b), respectively. The median OS for TPS-positive and negative patients were not reached and 16.4 months (TPS, p = 0.095, Fig. 6c), while those for CPS-positive and negative patients were not reached and 14.5 months (CPS, p = 0.037, Fig. 6d), respectively.
Fig. 6

Association of PD-L1 with progression-free survival (PFS) and overall survival (OS). Kaplan–Meier curves of PFS according to RECIST v1.1 stratified by a TPS ≥ 1% or < 1%; b CPS ≥ 1% or < 1%; OS stratified by c TPS ≥ 1% or < 1%; d CPS ≥ 1% or < 1%. CPS, combined positive score; TPS, tumor proportion score

Association of PD-L1 with progression-free survival (PFS) and overall survival (OS). Kaplan–Meier curves of PFS according to RECIST v1.1 stratified by a TPS ≥ 1% or < 1%; b CPS ≥ 1% or < 1%; OS stratified by c TPS ≥ 1% or < 1%; d CPS ≥ 1% or < 1%. CPS, combined positive score; TPS, tumor proportion score

Discussion

To the best of our knowledge, there has been no study comparing lenvatinib plus pembrolizumab in the first-line setting and systemic-experienced uHCC and in Child–Pugh B patients. In our study, we found that the treatment-related adverse events from lenvatinib plus pembrolizumab were similar between systemic therapy-naïve and -experienced uHCC patients, but the PFS and OS are compromised in patients with prior systemic therapy, particularly in patients with prior nivolumab treatment failure. Our findings provide important information on lenvatinib plus pembrolizumab for uHCC patients with high-risk tumors, Child–Pugh class B, and prior systemic treatment exposure. For the responders, the response was also enduring. The ORR and DCR of lenvatinib plus pembrolizumab were generally better than those of MKI or ICI monotherapy [8, 13, 14]. But for patients with prior systemic therapy, the ORR of lenvatinib plus pembrolizumab (18.5% according to RECIST v1.1) was similar to that of lenvatinib (18.8% in REFLECT study) or pembrolizumab monotherapy (18.3% in KEYNOTE-240 study) [8, 14]. This finding indicated that a certain degree of MKI and ICI resistance might exist after prior systemic therapy. Nevertheless, the DCR of lenvatinib plus pembrolizumab was still high across systemic-naïve and -experienced cases. There has been no applicable baseline factor to predict the response to ICI immunotherapy for HCC in previous studies [25]. In this study, prior nivolumab failure was the only factor significantly associated with PFS. This finding implies that prior anti-PD-1 treatment may have a detrimental effect on repeated anti-PD-1 immunotherapy by blocking the same immune checkpoint. Our previous real-world cohort study has demonstrated that liver reserve (Child–Pugh class A) determined overall survival on ICI therapy [25]. In this study, Child–Pugh class B and previous nivolumab experience were risk factors for OS. Previous studies suggest that MKI could enhance the response to ICI immunotherapy [29], but the current study showed that prior MKI treatment did not have a positive effect on the response to lenvatinib plus pembrolizumab. Atezolizumab plus bevacizumab is still being developed as a first-line treatment for advanced HCC, so the outcomes of this treatment followed by lenvatinib/pembrolizumab still require further exploration. Most clinical trials excluded patients with high-risk tumors [8, 13, 14, 18]. Tumor burden ≧ 50% liver volume, main portal vein invasion, and bile duct involvement were not factors associated with PFS and OS in this study. This indicates that patients with high-risk tumors are still potential candidates for lenvatinib plus pembrolizumab treatment, but only if their liver function is well preserved. In addition, our study confirmed that there was no negative effect on ALBI score during lenvatinib plus pembrolizumab treatment. Although nearly all patients experienced adverse events, only 3 patients discontinued the treatment due to such events. No unexpected adverse effects were discovered, and the incidence rates of TRAEs were similar in the therapy-naïve and -experienced patients. Only a higher frequency of pruritus was observed in patients with prior systemic therapy. AEs with grade ≧ 3 were rare, including pneumonitis, psoriasis, hypertension, diarrhea, and hepatitis. We previously proposed a “10–10 rule” based on early AFP response to predict ORR and survival of ICI monotherapy in advanced HCC [25]. But AFP reduction is common when using lenvatinib/pembrolizumab combinations, AFP reduction could happen in patients without objective response, and early AFP reduction did not have a predictive role for lenvatinib/pembrolizumab combinations. The predictive value of PD-L1 expression in response to ICI for HCC has not yet been confirmed [12, 13, 30]. A positive result for PD-L1 expression has been associated with significantly better OS and PFS [31, 32]. In the present study, CPS-positive cases had a trend of higher ORR and better median OS than CPS-negative patients. These findings suggest that PD-L1 expression has a potential role in selecting candidates for lenvatinib plus pembrolizumab treatment for uHCC. There are several limitations to this study. First, there was no control arm for comparison. However, the ORR and DCR of lenvatinib plus pembrolizumab were unequivocally higher than in previous studies on ICI and MKI monotherapy. Second, the case number was not large, although this has been the largest prospective real-world study on lenvatinib plus pembrolizumab for unresectable HCC so far. Nevertheless, our findings highlight the potential for future expansion of indications for lenvatinib plus pembrolizumab for uHCC patients with high-risk tumors, Child–Pugh B, or previous MKI experience. In conclusion, the real-world data on lenvatinib plus pembrolizumab showed comparable responses and survival to an early phase clinical trial without unexpected adverse effects, even in patients with high-risk tumors and Child–Pugh B status. Below is the link to the electronic supplementary material. Supplementary file1 (PDF 392 KB)
  29 in total

Review 1.  EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma.

Authors: 
Journal:  J Hepatol       Date:  2018-04-05       Impact factor: 25.083

2.  Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: a randomised phase 3 non-inferiority trial.

Authors:  Masatoshi Kudo; Richard S Finn; Shukui Qin; Kwang-Hyub Han; Kenji Ikeda; Fabio Piscaglia; Ari Baron; Joong-Won Park; Guohong Han; Jacek Jassem; Jean Frederic Blanc; Arndt Vogel; Dmitry Komov; T R Jeffry Evans; Carlos Lopez; Corina Dutcus; Matthew Guo; Kenichi Saito; Silvija Kraljevic; Toshiyuki Tamai; Min Ren; Ann-Lii Cheng
Journal:  Lancet       Date:  2018-03-24       Impact factor: 79.321

3.  Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma.

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

4.  Pembrolizumab in patients with advanced hepatocellular carcinoma previously treated with sorafenib (KEYNOTE-224): a non-randomised, open-label phase 2 trial.

Authors:  Andrew X Zhu; Richard S Finn; Julien Edeline; Stephane Cattan; Sadahisa Ogasawara; Daniel Palmer; Chris Verslype; Vittorina Zagonel; Laetitia Fartoux; Arndt Vogel; Debashis Sarker; Gontran Verset; Stephen L Chan; Jennifer Knox; Bruno Daniele; Andrea L Webber; Scot W Ebbinghaus; Junshui Ma; Abby B Siegel; Ann-Lii Cheng; Masatoshi Kudo
Journal:  Lancet Oncol       Date:  2018-06-03       Impact factor: 41.316

Review 5.  Modified RECIST (mRECIST) assessment for hepatocellular carcinoma.

Authors:  Riccardo Lencioni; Josep M Llovet
Journal:  Semin Liver Dis       Date:  2010-02-19       Impact factor: 6.115

6.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.

Authors:  Suzanne L Topalian; F Stephen Hodi; Julie R Brahmer; Scott N Gettinger; David C Smith; David F McDermott; John D Powderly; Richard D Carvajal; Jeffrey A Sosman; Michael B Atkins; Philip D Leming; David R Spigel; Scott J Antonia; Leora Horn; Charles G Drake; Drew M Pardoll; Lieping Chen; William H Sharfman; Robert A Anders; Janis M Taube; Tracee L McMiller; Haiying Xu; Alan J Korman; Maria Jure-Kunkel; Shruti Agrawal; Daniel McDonald; Georgia D Kollia; Ashok Gupta; Jon M Wigginton; Mario Sznol
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

7.  Immunological Microenvironment Predicts the Survival of the Patients with Hepatocellular Carcinoma Treated with Anti-PD-1 Antibody.

Authors:  Masahiro Morita; Naoshi Nishida; Kazuko Sakai; Tomoko Aoki; Hirokazu Chishina; Masahiro Takita; Hiroshi Ida; Satoru Hagiwara; Yasunori Minami; Kazuomi Ueshima; Kazuto Nishio; Yukari Kobayashi; Kazuhiro Kakimi; Masatoshi Kudo
Journal:  Liver Cancer       Date:  2021-06-09       Impact factor: 11.740

8.  A six-weekly dosing schedule for pembrolizumab in patients with cancer based on evaluation using modelling and simulation.

Authors:  Mallika Lala; Tommy Ruosi Li; Dinesh P de Alwis; Vikram Sinha; Kapil Mayawala; Noboru Yamamoto; Lillian L Siu; Elliot Chartash; Hesham Aboshady; Lokesh Jain
Journal:  Eur J Cancer       Date:  2020-04-15       Impact factor: 9.162

Review 9.  Challenges of combination therapy with immune checkpoint inhibitors for hepatocellular carcinoma.

Authors:  Ann-Lii Cheng; Chiun Hsu; Stephen L Chan; Su-Pin Choo; Masatoshi Kudo
Journal:  J Hepatol       Date:  2020-02       Impact factor: 25.083

10.  Validation of Modified ALBI Grade for More Detailed Assessment of Hepatic Function in Hepatocellular Carcinoma Patients: A Multicenter Analysis.

Authors:  Atsushi Hiraoka; Takashi Kumada; Kunihiko Tsuji; Koichi Takaguchi; Ei Itobayashi; Kazuya Kariyama; Hironori Ochi; Kazuto Tajiri; Masashi Hirooka; Noritomo Shimada; Toru Ishikawa; Yoshihiko Tachi; Toshifumi Tada; Hidenori Toyoda; Kazuhiro Nouso; Kouji Joko; Yoichi Hiasa; Kojiro Michitaka; Masatoshi Kudo
Journal:  Liver Cancer       Date:  2018-06-11       Impact factor: 11.740

View more
  3 in total

1.  Determinants of Survival and Post-Progression Outcomes by Sorafenib-Regorafenib Sequencing for Unresectable Hepatocellular Carcinoma.

Authors:  I-Cheng Lee; Yee Chao; Pei-Chang Lee; San-Chi Chen; Chen-Ta Chi; Chi-Jung Wu; Kuo-Cheng Wu; Ming-Chih Hou; Yi-Hsiang Huang
Journal:  Cancers (Basel)       Date:  2022-04-15       Impact factor: 6.575

2.  Efficacy and safety of atezolizumab plus bevacizumab combined with hepatic arterial infusion chemotherapy for advanced hepatocellular carcinoma.

Authors:  Yujing Xin; Fei Cao; Hongcai Yang; Xinyuan Zhang; Yi Chen; Xiaojing Cao; Xiang Zhou; Xiao Li; Jinxue Zhou
Journal:  Front Immunol       Date:  2022-08-05       Impact factor: 8.786

3.  Gut microbiota and metabolites associate with outcomes of immune checkpoint inhibitor-treated unresectable hepatocellular carcinoma.

Authors:  Pei-Chang Lee; Chi-Jung Wu; Ya-Wen Hung; Chieh Ju Lee; Chen-Ta Chi; I-Cheng Lee; Kuo Yu-Lun; Shih-Hsuan Chou; Jiing-Chyuan Luo; Ming-Chih Hou; Yi-Hsiang Huang
Journal:  J Immunother Cancer       Date:  2022-06       Impact factor: 12.469

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.