Literature DB >> 36065424

The Prognostic Value of Baseline Clinical and Radiologic Imaging Features in Patients with Unresectable Hepatocellular Carcinoma Treated with Atezolizumab Plus Bevacizumab.

Muhammad O Awiwi1, Khaled M Elsayes1, Yehia I Mohamed2, Lina Altameemi2, Migena Gjoni3, Omayr Muhammad Irshad4, Ahmed Sayed Ahmed5, Ahmad O Kaseb2, Usama Salem1.   

Abstract

Purpose: To identify prognostic clinical and radiologic features in patients with unresectable hepatocellular carcinoma (HCC) treated with atezolizumab plus bevacizumab. Patients and
Methods: Clinical and imaging records of patients with unresectable HCC were retrospectively reviewed, and baseline features were recorded. Patients' records and imaging studies were used to determine the patients' overall survival (OS) and progression-free survival (PFS). Univariate and multivariate analyses were performed to determine prognostic features. Subanalyses of treatment-naïve patients (who never received local or systemic therapy) and previously treated patients were also performed.
Results: Fifty-five patients were included in the final analysis, 23 (41.8%) of whom were treatment naïve. The median PFS and OS for the entire cohort were 3.0 months and 7.9 months. The 3-, 6- and 12-month OS rates were 85.5%, 79.8% and 45.7%, respectively. The 3-, 6- and 12-month PFS rates were 50.1%, 41.2% and 20.1%, respectively. On multivariate analysis, independent prognostic features for poor PFS of the entire cohort were pleural effusions (p = 0.047, HR: 6.3; CI: 1.03-38.90) and hepatic vein tumor thrombus (p = 0.005; HR: 23.37; CI: 2.63-207.67); independent prognostic features for poor OS were ascites (p = 0.008; HR: 37.37; CI: 2.53-467.64), pleural effusion (p = 0.003; HR: 110.17; CI: 5.00-2426.54), and low (<40HU) pre-contrast attenuation on CT images (p = 0.007; HR: 0.09; CI: 0.02-0.53). On subanalysis of treatment-naïve patients, the median OS and PFS were 7.4 months and 2.8 months, respectively. The 3-, 6- and 12-month PFS rates were 43.5%, 38.6% and 24.8%, respectively. Pleural effusion was the only independent poor prognostic feature (p = 0.036; HR: 206.34; CI: 1.41-30,167.58).
Conclusion: Independent prognostic features for survival outcomes include the presence of ascites, pleural effusions, hepatic vein tumor thrombus, and HCC with low attenuation (<40 HU) on unenhanced CT images. Although several biochemical variables were significant on univariate analysis, none were independent predictors of OS or PFS.
© 2022 Awiwi et al.

Entities:  

Keywords:  RECIST; neutrophil-to-lymphocyte ratio; platelet-to-lymphocyte ratio; radiographic; radiology; survival

Year:  2022        PMID: 36065424      PMCID: PMC9440709          DOI: 10.2147/JHC.S379428

Source DB:  PubMed          Journal:  J Hepatocell Carcinoma        ISSN: 2253-5969


Introduction

Treatment options for hepatocellular carcinoma (HCC) vary according to disease stage, performance status, and liver function.1 Systemic therapy is recommended for unresectable HCC patients with adequate liver function who are not candidates for locoregional therapy. The IMbrave150 trial was published in 2020 and it changed the landscape of systemic therapy for HCC by showing better overall survival and progression-free survival in patients receiving the combination of atezolizumab plus bevacizumab compared to sorafenib monotherapy.2 Soon after publishing the results of this trial, the American Society of Clinical Oncology (ASCO) and the European Society for Medical Oncology (ESMO) updated their guidelines recommending atezolizumab-bevacizumab as the first line of systemic therapy for unresectable HCC.3,4 Despite the promising data of the IMbrave150 trial, response to treatment was heterogeneous with complete response being achieved in 10% and disease control rate (complete response, partial response and stable disease) achieved only in 74% of patients receiving atezolizumab-bevacizumab.2 The primary objective of the current study is to determine the prognostic value of baseline imaging features and clinical/laboratory parameters in patients with unresectable HCC receiving atezolizumab-bevacizumab. The secondary objective is to evaluate the response rate according to RECIST 1.1 (Response Evaluation Criteria in Solid Tumors) and mRECIST (modified Response Evaluation Criteria in Solid Tumors) criteria.

Methods

After institutional review board approval, patients with unresectable HCC who received the combination of atezolizumab plus bevacizumab between June 2018 and February 2022 were identified from clinical records. Patients who received locoregional therapy (eg, percutaneous ablation, transcatheter radio/chemoembolization, external beam radiotherapy) or who underwent surgery after initiation of atezolizumab-bevacizumab were excluded from the analysis. Both treatment naïve patients and patients who had received prior therapy (eg, surgery, percutaneous interventions, radiotherapy and systemic therapy) were included in this study. Patients who received locoregional therapy (radiotherapy) for extrahepatic metastases after initiation of atezolizumab-bevacizumab were also included in the analysis, but these lesions were not selected as target lesions for radiologic response assessment. Prospectively maintained medical and imaging records were reviewed to determine the progression-free survival and overall survival. Patients’ records were retrospectively reviewed to collect demographic, biochemical/laboratory, clinical and radiologic (computerized tomography (CT) and magnetic resonance imaging (MRI)) data at baseline (ie, prior to initiation of atezolizumab-bevacizumab). Progression-free survival was defined as death from any cause, radiologic progression (as defined by RECIST 1.1 and mRECIST criteria),5,6 occurrence of severe treatment-related adverse effects necessitating cessation of atezolizumab-bevacizumab (eg, immunotherapy related adverse events, bowel perforation, gastrointestinal hemorrhage) or clinical deterioration requiring cessation of systemic therapy which ever occurred first. Overall survival was defined as the duration between the initiation of atezolizumab-bevacizumab and death from any cause. The best overall radiologic response (as defined by RECIST 1.1 and mRECIST criteria)5,6 was also recorded. Most recent imaging studies (CT or MRI) prior to initiation of systemic therapy with atezolizumab-bevacizumab were reviewed by a fellowship trained abdominal radiologist. Radiologic features related to cirrhotic liver morphology, portal hypertension, presence/absence of nodal spread or distant metastases were recorded. In addition, data regarding the size, number of disease foci, presence of tumor-in-vein, and extrahepatic extension were recorded. Enhancement characteristics on CT were investigated. Pre-contrast, arterial phase, portal phase and delayed phase attenuation were recorded by placing region of interest (ROI) on the viable enhancing portions of the tumor. Categorical variables were expressed as number (percentage). Continuous variables were expressed as median (min-max; interquartile range). Univariate analysis was performed using the Kaplan–Meier method to determine features having a statistically significant (p < 0.05) association with overall survival and progression-free survival. Subsequently, multivariate cox regression analysis was conducted to determine the hazard ratio (HR) and 95% confidence intervals (CI) for these variables. Univariate and multivariate analyses were conducted for the entire cohort, and sub-analyses were performed for treatment naïve and previously treated patients. A p-value of <0.05 was considered statistically significant in this study.

Results

A total of 76 HCC patients who received atezolizumab-bevacizumab were identified. Twenty-one patients were excluded from the analysis because they received surgical or percutaneous interventions to intrahepatic disease foci after initiation of systemic therapy. Fifty-five patients were included in the final analysis, 23 (41.8%) of whom were treatment naïve patients. Forty-two patients (57.5%) had baseline CT scans and 13 had baseline MRI. Descriptive statistics of patients’ baseline features are outlined in Tables 1 and in the supplementary materials.
Table 1

Baseline Descriptive Clinical, Biochemical and Radiologic Statistics

CharacteristicsEntire Cohort (n = 55)Treatment Naïve Patients (n = 23)Patients Who Received Prior Treatment (n = 32)
Age - median year - median (min-max; IQR)66.0 (36–80; 12)65 (36–80; 10)68.0 (52–80; 14)
 ≤6524 (43.6)12 (52.2)12 (37.5)
 >6531 (56.4)11 (47.8)20 (62.5)
Gender - n (%)
 Female10 (18.2)7 (30.4)3 (87.5)
 Male45 (81.8)16 (69.6)4 (12.5)
Largest intrahepatic tumor diameter, median cm (min-max; IQR)6.9 (1.4–17.5; 7.5)9.2 (2.8–17.5; 7.2)4.3 (1.4–16.1; 7.5)
 ≤7 cm28 (52.8)8 (34.8)20 (66.7)
 >7 cm25 (47.2)15 (65.2)10 (33.3)
Number of intra-hepatic disease foci - n (%)
 0–39 (16.4)1 (34.8)8 (25.0)
 ≥446 (83.6)22 (95.7)24 (75.0)
Portal vein tumor thrombus - n (%)
 None34 (61.8)12 (52.2)22 (68.8)
 Small (<2cm)6 (10.9)3 (13.0)3 (9.4)
 >2cm without main portal vein involvement10 (18.2)4 (17.4)6 (18.8)
 >2cm with main portal vein involvement5 (9.1)4 (17.4)1 (3.1)
Hepatic vein tumor thrombus - n (%)
 None49 (89.1)19 (82.6)30 (93.8)
 Small (<2cm)4 (7.3)2 (8.7)2 (6.3)
 >2cm without inferior vena cava involvement1 (1.8)1 (4.3)0 (0.0)
 >2cm with inferior vena cava involvement1 (1.8)1 (4.3)0 (0.0)
Metastases (nodal and non-nodal) - n (%)
 Absent37 (67.3)17 (73.9)20 (62.5)
 Present18 (32.7)6 (26.1)12 (37.5)
AFP, median ng/dL (min-max; IQR)349 (2.7–201,700; 5695)954 (3.2–169,990; 11,385)27.5 (2.7–201,700; 1327)
 ≤400 ng/dL28 (50.9)7 (30.4)21 (65.6)
 >400 ng/dL27 (49.1)16 (69.6)11 (34.4)
INR, median (min-max; IQR)1.1 (0.9–1.96; 0.2)1.18 (0.99–1.96; 0.29)1.1 (0.9–1.7; 0.2)
 ≤1.553 (96.4)22 (95.7)31 (96.9)
 >1.52 (3.6)1 (4.3)1 (3.1)
Albumin, median g/dL (min-max; IQR)3.6 (2.6–3.8; 0.7)3.6 (2.8–4.7; 0.7)3.6 (2.6–4.7; 0.6)
 <3.5 g/dL27 (49.1)11 (47.8)16 (50.0)
 >3.5 g/dL28 (50.9)12 (52.2)16 (50.0)
Total bilirubin, median mg/dL (min-max; IQR)0.8 (0.3–3.8; 0.6)0.8 (0.3–1.9; 0.6)0.9 (0.3–3.8; 0.8)
 <2.0 mg/dL51 (92.7)23 (100.0)28 (87.5)
 >2.0 mg/dL4 (7.3)0 (0.0)4 (12.5)
Child-Pugh score - n (%)
 A521 (38.2)10 (43.5)11 (34.4)
 A69 (16.4)4 (17.4)5 (15.6)
 B715 (27.3)5 (21.7)10 (31.3)
 B89 (16.4)3 (13.0)6 (18.8)
 B91 (1.8)1 (4.3)0 (0.0)
MELD score, median (min-max; IQR)9 (6–21; 3)9 (6–21; 2)9 (6–15; 3)
 ≤936 (65.5)17 (73.9)19 (59.4)
 >919 (34.5)6 (26.1)13 (40.6)

Note: More detailed data can be found in the supplementary material.

Abbreviations: INR, international normalized ratio; IQR, interquartile range; MELD, model for end-stage liver disease.

Baseline Descriptive Clinical, Biochemical and Radiologic Statistics Note: More detailed data can be found in the supplementary material. Abbreviations: INR, international normalized ratio; IQR, interquartile range; MELD, model for end-stage liver disease. The median follow-up period for the study cohort was 7.9 months (1.0–46.6; 10.0). Forty-five (81.8%) of all patients had disease progression during the follow-up period. The median progression-free survival was 3.0 months (0.3–26.9; 6.1). Thirty-three patients (60%) of the entire cohort died during the follow-up period and the median overall survival was 7.9 months (1.0–46.6; 10.0). The 3-, 6- and 12-month overall survival rates were 85.5%, 79.8% and 45.7%, respectively. The 3-, 6- and 12-month progression-free survival rates were 50.1%, 41.2% and 20.1%, respectively (Tables 2 and in the supplementary materials).
Table 2

Response Assessment to Atezolizumab-Bevacizumab

CharacteristicsEntire Cohort (n = 55)Treatment Naïve Patients (n = 23)Patients Who Received Prior Treatment (n = 32)
Follow-up duration, median months (min-max; IQR)7.9 (1.0–46.6; 10.0)7.4 (1.0–26.9; 7.3)9.2 (1.6–46.6; 9.4)
Progression - n (%)
 Absent10 (18.2)5 (21.7)5 (15.6)
 Present45 (81.8)18 (78.3)27 (84.4)
Cause of progression - n (%)
 Toxicity/lack of tolerance9 (16.4)6 (26.1)3 (9.4)
 Radiologic progression31 (56.4)11 (47.8)20 (62.5)
 Death5 (9.1)1 (4.3)4 (12.5)
 No progression10 (18.2)5 (21.7)5 (15.6)
Progression free survival, median months (min-max; IQR)3.0 (0.3–26.9; 6.1)2.8 (0.3–26.9; 6.1)3.9 (0.6–16.0; 6.1)
 3-month progression-free survival (%)50.143.556.3
 6-month progression-free survival (%)41.238.643.3
 12-month progression-free survival (%)20.124.817.3
Overall survival, median months (min-max; IQR)7.9 (1.0–46.6; 10.0)7.4 (1.0–26.9; 7.3)9.2 (1.6–46.6; 9.4)
 3-month overall survival (%)85.58393.8
 6-month overall survival (%)79.864.790.6
 12-month overall survival (%)45.733.653.9
Best overall response RECIST 1.1 - n (%)
 Progressive disease21 (38.2)8 (34.8)13 (40.6)
 Stable disease12 (21.8)4 (17.4)8 (25.0)
 Partial response15 (27.3)7 (30.4)8 (25.0)
 Complete response0 (0.0)0 (0.0)0 (0.0)
 Could not be evaluated7 (12.7)4 (17.4)3 (9.4)
Best overall response mRECIST - n (%)
 Progressive disease21 (38.2)8 (34.8)13 (40.6)
 Stable disease12 (21.8)4 (17.4)8 (25.0)
 Partial response13 (23.6)6 (26.1)7 (21.9)
 Complete response2 (3.6)1 (4.3)1 (3.1)
 Could not be evaluated7 (12.7)4 (17.4)3 (9.4)

Note: More detailed data can be found in the supplementary material.

Abbreviations: IQR, interquartile range; RECIST, response evaluation criteria in solid tumors; mRECIST, modified response evaluation criteria in solid tumors.

Response Assessment to Atezolizumab-Bevacizumab Note: More detailed data can be found in the supplementary material. Abbreviations: IQR, interquartile range; RECIST, response evaluation criteria in solid tumors; mRECIST, modified response evaluation criteria in solid tumors. Disease control rate (complete response, partial response and stable disease as determined on RECIST 1.1 and mRECIST criteria) on follow-up imaging was 49.1%. Twenty-one patients (38.2%) had no radiologic evidence of disease control despite systemic therapy. Response assessment to atezolizumab-bevacizumab is outlined in Table 2.

Progression-Free Survival of the Entire Cohort

Univariate analysis of progression-free survival showed a significantly better progression-free survival with absence of ascites (p = 0.005), absence of pleural effusion (p = 0.022), tumors with well-demarcated margins (p = 0.017), tumors with pre-contrast attenuation >40 HU (p = 0.037), tumors having arterial phase attenuation >100 HU (p = 0.012), tumors with no or small (<2cm) tumor-in-vein involving the portal vein (p = 0.044), tumors with no hepatic vein tumor thrombus (p = 0.001), absence of cavernous transformation (p = 0.001), splenic volume <450cm3 (p = 0.014), absence of heterogeneous extra-abdominal lymph nodes (p = 0.016), tumor signal drop of <10% on opposed phase MRI (p = 0.047), serum albumin levels >3.5 mg/dL (p = 0.002), neutrophil-to-lymphocyte ratio of <3.0 (p = 0.042), platelet-to-lymphocyte ratio <230 (p = 0.033), and albumin-bilirubin (ALBI) grade 1 (p = 0.010). Multivariate analysis including variables that were statistically significant on univariate analysis was conducted. Tumor signal drop ratio on out-of-phase imaging could not be included in multivariate analysis because of the small proportion of patients with baseline MRI (n = 13). Serum albumin level was not included in multivariate analysis model because it is used for calculation of ALBI score. Independent prognostic factors for progression-free survival of the entire cohort were the presence of pleural effusion (p = 0.047, HR: 6.3; CI: 1.03–38.90) and tumor-in-vein involving the hepatic veins (p = 0.005; HR: 23.37; CI: 2.63–207.67). Outcomes of univariate and multivariate analyses for progression-free survival of the entire cohort are outlined in Tables 3 and in the supplementary materials.
Table 3

Univariate and Multivariate Analyses for Progression Free Survival of the Entire Cohort

CharacteristicsProgression-Free Survival of the Entire Cohort (n = 55)
Univariate AnalysisMultivariate Analysis
Censored, n (%)Median (95% CI), Monthsp-valueHR (95% CI)p-value
Ascites
 None7 (18.9)6.3 (1.2–11.4)0.0051.34 (0.36–5.05)0.663
 Mild3 (16.7)2 (0.3–3.7)
Pleural effusion
 None10 (20.0)3.2 (0.0–6.7)0.0226.3 (1.03–38.90)0.047
 Mild0 (0.0)0.9 (0.3–1.5)
Tumor margin
 Well-demarcated6 (27.3)4.6 (0.0–17.9)0.0170.96 (0.25–3.61)0.946
 Irregular/infiltrative4 (12.9)2.8 (2.5–3.1)
Tumor pre-contrast density
 <401 (5.9)2.8 (2.3–3.3)0.0370.55 (0.19–1.62)0.279
 ≥405 (29.4)4.9 (0.0–14.5)
Tumor arterial phase density
 ≤1001 (5.3)2.7 (2.1–3.3)0.0120.51 (0.13–1.92)0.317
 >1005 (33.3)7.2 (0.0–17.6)
Portal vein tumor thrombus
 None or <2cm7 (17.5)4.9 (0.4–9.4)0.0440.12 (0.05–1.39)0.117
 > 2cm with or without main portal vein involvement3 (20.0)1.6 (0.4–2.8)
Hepatic vein tumor thrombus
 Absent10 (20.4)4.9 (1.4–8.4)<0.00123.37 (2.63–207.67)0.005
 Present6 (0.0)0.7 (0.1–1.3)
Cavernous transformation
 Absent10 (20.4)4.9 (0.7–9.1)0.0011.36 (0.16–11.72)0.779
 Present0 (0.0)0.8 (0.0–1.9)
Spleen volume
 <450 cm37 (28.0)7.7 (0.4–15.0)0.0144.12 (0.97–17.56)0.056
 >450 cm33 (10.0)2.8 (2.4–3.2)
Heterogeneous extra-abdominal lymph node
 Absent10 (20.0)4.5 (0.9–8.1)0.0160.84 (0.12–5.79)0.859
 Present0 (0.0)2.0 (0.7–3.3)
Tumor in/out of phase drop ratio
 ≤10%3 (37.5)15.4 (1.2–29.6)0.047
 >10%0 (0.0)0.8 (0.0–3.0)
Albumin
 <3.5 g/dL3 (11.1)2.8 (2.1–3.5)0.002
 >3.5 g/dL7 (25.0)6.5 (0.1–12.9)
Neutrophil to lymphocyte ratio
 ≤34 (19.0)7.3 (3.6–10.9)0.0421.28 (0.32–5.20)0.726
 >36 (17.6)2.8 (2.3–3.3)
Platelet to lymphocyte ratio
 <2307 (19.4)6.3 (3.2–9.4)0.0332.40 (0.40–14.34)0.337
 ≥2303 (15.8)2.4 (2.0–2.8)
ALBI score
 ≤-2.6 (grade 1)5 (29.4)8.6 (0.0–19.5)0.0100.47 (0.09–2.42)0.363
 > −2.6 (grade 2 and 3)5 (13.2)2.8 (2.3–3.3)

Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material.

Abbreviation: ALBI score, Albumin-Bilirubin score.

Univariate and Multivariate Analyses for Progression Free Survival of the Entire Cohort Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material. Abbreviation: ALBI score, Albumin-Bilirubin score.

Overall Survival of the Entire Cohort

Univariate analysis of overall survival showed a significantly better overall survival with absence of ascites (p = <0.001), absence of pleural effusion (p = 0.015), largest intrahepatic tumor <7cm in size (p = 0.016), <4 foci of intrahepatic disease (p = 0.042), well-demarcated tumors (p = <0.001), presence of enhancing capsule on delayed images (p = 0.032), tumor pre-contrast attenuation of >40 HU (p = 0.046), no or small (<2cm) tumor-in-vein involving the portal veins (p = 0.012), absence of tumor-in-vein involving the hepatic veins (p = 0.003), absence of cavernous transformation (p = <0.001), absence of biliary dilatation or biliary stent (p = 0.021), splenic volume <450cm3 (p = 0.002), absence of recanalized umbilical vein (p = 0.005), short axis of the largest locoregional lymph node <1.0 cm (p = 0.039), serum albumin level >3.5 mg/dL (p = <0.001), serum direct bilirubin <0.8 mg/dL (p = 0.001), serum hemoglobin >12.0 g/dL (p = 0.011), MELD score of ≤9 (p = 0.045), and ALBI score ≤-2.6 (p = <0.001). Multivariate analysis including variables that were statistically significant on univariate analysis was conducted. Serum albumin level and bilirubin levels were not included in multivariate analysis because they are used for calculation of ALBI score. Independent prognostic factors for poor overall survival of the entire cohort were the presence of small volume ascites (p = 0.008; HR: 37.37; CI: 2.53–467.64), presence of pleural effusions (p = 0.003; HR: 110.17; CI: 5.00–2426.54), and tumor pre-contrast attenuation of >40 HU (p = 0.007; HR: 0.09; CI: 0.02–0.53). Outcomes of univariate and multivariate analyses for overall survival of the entire cohort are detailed in Tables 4 and in the supplementary materials.
Table 4

Univariate and Multivariate Analyses of Overall Survival for the Entire Cohort

CharacteristicsOverall Survival of the Entire Cohort (n = 55)
Univariate AnalysisMultivariate Analysis
Censored, n (%)Median (95% CI), Monthsp-valueHR (95% CI)p-value
Ascites
 None17 (45.9)12.8 (7.1–18.5)<0.00134.37 (2.53–467.64)0.008
 Mild5 (27.8)7.3 (1.2–13.4)
Pleural effusion
 None21 (42.0)12.3 (8.6–16.0)0.015110.17 (5.00–2426.54)0.003
 Mild1 (20.0)7.7 (2.1–13.3)
Largest intrahepatic tumor diameter
 ≤7 cm15 (53.6)15.5 (12.6–18.4)0.0160.34 (0.01–11.05)0.542
 >7 cm5 (20.0)8.9 (7.3–10.5)
Number of intra-hepatic disease foci
 0–38 (88.9)N/A0.042N/A0.979
 ≥414 (30.4)9.4 (6.7–12.1)
Tumor margin
 Well-demarcated12 (54.5)19.2 (14.7–23.7)<0.0016.11 (0.13–282.3)0.355
 Irregular/infiltrative8 (25.8)7.9 (6.9–8.9)
Enhancing capsule
 Absent14 (36.8)9.0 (7.4–10.6)0.0320.34 (0.01–11.01)0.542
 Present6 (40.0)18.7 (12.6–24.8)
Tumor pre-contrast density
 <405 (29.4)8.9 (6.3–11.5)0.0460.09 (0.02–0.53)0.007
 ≥407 (41.2)11.3 (0.0–24.1)
Portal vein tumor thrombus
 None or <2cm16 (40.0)12.8 (7.4–18.2)0.0121.52 (0.14–16.07)0.727
 > 2cm with or without main portal vein involvement6 (40.0)7.9 (1.9–14.0)
Hepatic vein tumor thrombus
 Absent20 (40.8)11.3 (7.6–15.0)0.0037.48 (0.30–188.2)0.222
 Present2 (33.3)2.8 (0.8–4.8)
Cavernous transformation
 Absent21 (42.9)11.3 (7.6–15.0)<0.0010.30 (0.01–11.36)0.515
 Present1 (16.7)1.4 (0.0–3.2)
Biliary dilatation or biliary stent
 Absent17 (42.5)12.8 (7.8–17.8)0.0212.60 (0.22–31.34)0.452
 Present5 (33.3)6.3 (0.0–13.1)
Spleen volume, cm3
 <450 cm314 (56.0)18.7 (9.1–28.3)0.0026.91 (0.68–69.79)0.101
 >450 cm38 (26.7)7.7 (7.0–8.4)
Recanalization of umbilical vein
 Absent14 (51.9)14.8 (8.0–21.6)0.0054.44 (0.71–27.97)0.112
 Present8 (28.6)7.9 (5.3–10.5)
Short axis of largest locoregional lymph node
 <1.0 cm15 (45.5)12.3 (6.9–17.7)0.0390.49 (0.05–4.42)0.521
 >1.0 cm7 (31.8)7.7 (5.5–9.9)
Albumin
 <3.5 g/dL6 (22.2)7.7 (5.8–9.6)<0.001
 >3.5 g/dL16 (57.1)18.7 (14.6–22.8)
Direct bilirubin
 <0.8 mg/dL20 (40.8)11.3 (7.7–14.9)0.0015.69 (0.09–362.51)0.412
 >0.8 mg/dL2 (33.3)1.6 (0.0–4.5)
Hemoglobin
 <12.0 g/dL7 (35.0)7.9 (7.6–8.2)0.0115.04 (0.40–63.19)0.21
 >12.0 g/dL15 (42.9)14.8 (6.4–23.2)
MELD score
 ≤915 (41.7)12.8 (3.2–22.4)0.045
 >97 (36.8)8.9 (5.8–12.0)
ALBI score
 ≤-2.6 (grade 1)11 (64.7)19.2 (18.1–20.3)<0.0011.23 (0.05–29.47)0.898
 > −2.6 (grade 2 and 3)11 (28.9)7.9 (6.4–9.4)

Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material.

Abbreviations: ALBI score, Albumin-Bilirubin score; MELD, model for end-stage liver disease.

Univariate and Multivariate Analyses of Overall Survival for the Entire Cohort Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material. Abbreviations: ALBI score, Albumin-Bilirubin score; MELD, model for end-stage liver disease.

Overall Survival and Progression-Free Survival for Treatment Naïve Patients and for Patients Who Received Prior Therapy

The entire cohort was dichotomized into treatment naïve patients and patients who received prior therapy. Univariate and multivariate analyses were repeated for both groups, and their outcomes are detailed in Tables 5–8 and - in the supplementary materials. Univariate and Multivariate Analyses of Progression Free Survival for Treatment Naïve Patients (n = 23) Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material. Abbreviations: ALBI score, Albumin-Bilirubin score; INR, international normalized ratio; MELD, model for end-stage liver disease. Univariate and Multivariate Analyses of Overall Survival for Treatment Naïve Patients (n = 23) Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material. Abbreviations: ALBI score, Albumin-Bilirubin score; INR, international normalized ratio. Univariate and Multivariate Analyses of Progression Free Survival for Patients Who Received Prior Therapy (n = 32) Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material. Univariate and Multivariate Analyses of Overall Survival for Patients Who Received Prior Therapy (n = 32) Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material. Abbreviation: ALBI score, albumin-bilirubin score. No independent factors were identified on multivariate analysis of progression-free survival for treatment naïve patients. The presence of pleural effusions was the only independent factor for overall survival in treatment naïve patients (p = 0.036; HR: 206.34; CI: 1.41–30,167.58) (Tables 5 and 6).
Table 5

Univariate and Multivariate Analyses of Progression Free Survival for Treatment Naïve Patients (n = 23)

CharacteristicsProgression-Free Survival for Treatment Naïve Patients (n = 23)
Univariate AnalysisMultivariate Analysis
Censored, n (%)Median (95% CI), Monthsp-valueHR (95% CI)p-value
Pleural effusion
 None5 (23.8)2.8 (0.0–6.0)0.0480.00 (0->1000)0.947
 Mild0 (0.0)0.3 (N/A)
Tumor margin
 Well-demarcated3 (33.3)12.0 (0.0–28.1)0.0284.08 (0.06–263.30)0.508
 Irregular/infiltrative2 (14.3)2.4 (0.0–4.8)
Tumor arterial phase density
 ≤100 HU0 (0.0)2.3 (0.8–3.8)0.0220.00 (0->1000)0.931
 >100 HU3 (37.5)4.9 (0.0–18.0)
Hepatic vein tumor thrombus
 Absent5 (26.3)4.9 (0.4–9.4)0.0018119.5 (0->1000)0.929
 Present0 (0.0)0.7 (0.0–1.7)
Cavernous transformation
 Absent5 (27.8)4.9 (0.0–12.9)0.0020.38 (0.01–26.11)0.651
 Present0 (0.0)0.8 (0.6–1.0)
Spleen volume, cm3
 <450 cm34 (30.8)12.0 (0.0–25.9)0.0421466.5 (0->1000)0.943
 >450 cm31 (10.0)2.3 (0.1–4.5)
Short axis of largest locoregional lymph node
 <1.0 cm4 (30.8)7.3 (0.0–14.9)0.0453.69 (0.14–99.1)0.437
 >1.0 cm1 (10.0)1.6 (0.1–3.2)
INR
 ≤1.55 (22.7)2.8 (0.0–5.6)0.049
 >1.50 (0.0)0.7 (N/A)
Albumin
 <3.5 g/dL1 (9.1)1.6 (0.0–3.8)0.010
 >3.5 g/dL4 (33.3)12.0 (0.0–32.4)
Direct bilirubin
 <0.8 mg/dL5 (23.8)2.8 (0.0–6.0)0.010
 >0.8 mg/dL0 (0.0)0.7 (N/A)
Platelet to lymphocyte ratio
 <2304 (26.7)7.3 (0.0–15.1)0.0500.00 (0->1000)0.942
 ≥2301 (12.5)1.6 (0.1–3.1)
MELD score
 ≤95 (29.4)7.3 (0.0–15.0)0.0080.00 (0->1000)0.950
 >90 (0.0)0.7 (0.0–2.0)
ALBI score
 ≤-2.6 (grade 1)3 (33.3)12.0 (0.0–27.6)0.010
 > −2.6 (grade 2 and 3)2 (14.3)1.6 (0.0–3.4)

Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material.

Abbreviations: ALBI score, Albumin-Bilirubin score; INR, international normalized ratio; MELD, model for end-stage liver disease.

Table 6

Univariate and Multivariate Analyses of Overall Survival for Treatment Naïve Patients (n = 23)

CharacteristicsOverall Survival for Treatment Naïve Patients (n = 23)
Univariate AnalysisMultivariate Analysis
Censored, n (%)Median (95% CI), Monthsp-valueHR (95% CI)p-value
Ascite
 None5 (35.7)10.0 (7.1–12.9)0.0293.78 (0.2–69.69)0.372
 Mild3 (33.3)3.3 (0.0–7.9)
Pleural effusion
 None8 (38.1)9.0 (7.1–10.9)0.021206.34 (1.41–30,167.58)0.036
 Mild0 (0.0)1.0 (N/A)
Tumor margin
 Well-demarcated5 (55.6)19.2 (18.2–20.2)0.0059.18 (0.21–393.27)0.248
 Irregular/infiltrative3 (21.4)7.7 (0.0–19.0)
Extracapsular extension
 Absent5 (27.8)7.9 (2.8–13.0)0.0170.43 (0.03–5.52)0.517
 Present3 (60.0)N/A
Cavernous transformation
 Absent7 (38.9)9.0 (6.6–11.4)0.0138.62 (0.51–145.12)0.135
 Present1 (20.0)1.4 (1.0–1.8)
Spleen volume, cm3
 <450 cm37 (53.8)18.7 (7.1–30.3)0.0010.15 (0.01–1.97)0.150
 >450 cm31 (10.0)3.3 (2.4–4.2)
Recanalization of umbilical vein
 Absent5 (50.0)10.0 (7.5–12.5)0.0280 (0->10,000)0.913
 Present3 (23.1)3.4 (2.9–4.5)
Periesophageal varices
 Absent6 (54.5)10.0 (0.0–22.2)0.008202,203.26 (0->10,000)0.905
 Present2 (16.7)3.3 (2.3–4.3)
INR
 ≤1.58 (36.4)8.2 (6.3–10.1)0.00215.74 (0.04–6864.24)0.374
 >1.50 (0.0)1.2 (N/A)
Albumin
 <3.5 g/dL2 (18.2)2.7 (0.0–9.0)0.003
 >3.5 g/dL6 (50.0)18.7 (0.0–41.3)
Direct bilirubin
 <0.8 mg/dL8 (38.1)9.0 (7.0–10.9)0.001
 >0.8 mg/dL0 (0.0)1.2 (N/A)
Neutrophil to lymphocyte ratio
 ≤34 (30.8)10.0 (7.1–12.9)0.0387.21 (0.3–172.93)0.223
 >34 (40.0)3.3 (0.6–6.0)
ALBI score
 ≤-2.6 (grade 1)5 (55.6)19.2 (8.1–30.3)0.0018.79 (0.36–213.3)0.182
 > −2.6 (grade 2 and 3)3 (21.4)3.3 (2.2–4.4)

Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material.

Abbreviations: ALBI score, Albumin-Bilirubin score; INR, international normalized ratio.

In patients who had received prior therapy, multivariate analysis yielded two independent factors for progression-free survival: tumor pre-contrast attenuation >40 HU (p = 0.027; HR: 0.22; CI 0.06–0.84) and presence of hepatic vein tumor thrombus (p = 0.027; HR: 24.87; CI: 1.44–430.07). Multivariate analysis of overall survival in previously treated patients identified two independent variables, the presence of ascites (p = 0.007; HR: 58.83; CI: 2.98–1163.13) and tumor pre-contrast attenuation >40 HU (p = 0.030; HR: 0.09; CI 0.01–0.80) (Tables 7 and 8).
Table 7

Univariate and Multivariate Analyses of Progression Free Survival for Patients Who Received Prior Therapy (n = 32)

CharacteristicsProgression-Free Survival for Patients Who Received Prior Therapy (n = 32)
Univariate AnalysisMultivariate Analysis
Censored, n (%)Median (95% CI), Monthsp-valueHR (95% CI)p-value
Ascites
 None4 (17.4)6.5 (0.7–12.4)0.0352.84 (0.67–11.99)0.156
 Mild1 (11.1)3.0 (1.2–4.8)
Tumor pre-contrast density
 <40 HU0 (0.0)2.8 (1.4–4.2)0.0260.22 (0.06–0.84)0.027
 ≥40 HU3 (33.3)11.3 (0.0–27.7)
Hepatic vein tumor thrombus
 Absent5 (16.7)4.5 (0.5–8.5)<0.00124.87 (1.44–430.07)0.027
 Present0 (0.0)0.6 (N/A)
Heterogeneous extra-abdominal lymph node
 Absent5 (17.2)6.0 (1.0–11.0)<0.00112.26 (0.89–169.46)0.061
 Present3 (0.0)1.4 (0.1–2.7)
Tumor in/out of phase drop ratio
 ≤10%1 (33.3)15.4 (N/A)0.039
 >10%0 (0.0)1.4 (N/A)

Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material.

Table 8

Univariate and Multivariate Analyses of Overall Survival for Patients Who Received Prior Therapy (n = 32)

CharacteristicsOverall Survival for Patients Who Received Prior Therapy (n = 32)
Univariate AnalysisMultivariate Analysis
Censored, n (%)Median (95% CI), Monthsp-valueHR (95% CI)p-value
Ascites
 None12 (52.2)12.8 (7.0–18.6)0.01458.83 (2.98–1163.13)0.007
 Mild2 (22.2)7.3 (5.4–9.2)
Largest intrahepatic tumor diameter
 ≤7 cm11 (55.0)15.5 (13.0–18.0)0.0283.82 (0.47–31.06)0.210
 >7 cm1 (10.0)8.9 (4.4–13.4)
Tumor margin
 Well-demarcated7 (53.8)16.5 (5.2–27.8)0.0060.60 (0.07–5.25)0.646
 Irregular/infiltrative5 (29.4)9.4 (5.7–12.9)
Extracapsular extension
 Absent11 (52.4)14.8 (6.4–23.2)0.0460.11 (0.00–3.82)0.221
 Present1 (11.1)11.3 (6.5–16.1)
Tumor pre-contrast density
 <40 HU2 (16.7)8.9 (5.2–12.6)0.0120.09 (0.01–0.80)0.030
 ≥40 HU5 (55.6)27.0 (N/A)
Portal vein tumor thrombus
 None or <2cm11 (44.0)14.8 (10.5–19.1)0.0601.29 (0.08–21.70)0.860
 > 2cm with or without main portal vein involvement3 (42.9)8.9 (3.4–14.4)
Hepatic vein tumor thrombus
 Absent13 (43.3)12.8 (7.8–17.8)0.0312.5 (0.02–281.26)0.703
 Present1 (50.0)2.8 (N/A)
Cavernous transformation
 Absent14 (45.2)12.8 (7.9–17.7)0.0030.73 (0.01–65.58)0.890
 Present0 (0.0)3.1 (N/A)
Albumin
 <3.5 g/dL4 (25.0)7.7 (6.0–9.4)<0.001
 >3.5 g/dL10 (62.5)27.0 (11.4–42.6)
Direct bilirubin
 <0.8 mg/dL12 (42.9)12.8 (7.9–17.7)0.008
 >0.8 mg/dL2 (50.0)12.3 (9.0–15.5)
Hemoglobin
 <12.0 g/dL4 (30.8)8.9 (7.3–10.5)0.0050.32 (0.01–8.83)0.498
 >12.0 g/dL10 (52.6)16.5 (6.9–26.1)
ALBI score
 ≤-2.6 (grade 1)6 (75.0)N/A0.0086.00 (0.3–118.48)0.239
 > −2.6 (grade 2 and 3)8 (33.3)9.4 (6.1–12.7)

Notes: Note that only parameters that reached statistical significance on univariate analysis (p<0.05, indicated in bold) are listed above; analyses of other variables are detailed in the supplementary material.

Abbreviation: ALBI score, albumin-bilirubin score.

Discussion

The current study identified prognostic biomarkers and evaluated the response rates of patients with unresectable hepatocellular carcinoma receiving atezolizumab plus bevacizumab. Our study showed that atezolizumab-bevacizumab therapy could achieve disease control in 49% of patients with unresectable HCC. However, most patients eventually had disease progression and only 18% did not have disease progression during the entire follow-up period. In addition, the present study identified a few independent predictors for progression-free survival and overall survival. The presence of pleural effusion and tumor-in-vein involving the hepatic veins were independent predictors of worse progression-free survival. Independent variables predictive of worse overall survival are the presence of ascites, pleural effusion, and tumor attenuation <40 HU on pre-contrast CT images. Although several biochemical variables were significant on univariate analysis, none were independent predictors of overall or progression-free survival. A few studies evaluated the prognostic value of non-radiological parameters in patients with unresectable HCC receiving atezolizumab-bevacizumab. Wang et al identified four independent factors for progression-free survival: platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, serum alpha-fetoprotein (AFP) level, and prior hepatectomy.7 Our study used similar cutoff values for platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, and serum AFP levels to those used by by Wang et al, but several additional variables were also included in our analysis. Similar to the results of Wang et al, platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio were significantly associated with progression-free survival on univariate analyses; but on the contrary, these two variables were not independent predictors of survival at multivariate analysis. Serum AFP level was not associated with progression-free survival. To our knowledge, the current study is the first to evaluate the prognostic value of radiologic features in HCC patients who received atezolizumab-bevacizumab. Hence, the authors evaluated imaging features which have been associated with worse survival in HCC patients receiving other forms of treatment such as tumor size, number of tumor foci, tumor capsule, tumor margin, transient hepatic attenuation/intensity differences (THID/THAD), vascular invasion, bile duct invasion, spleen size, metastases, ascites, and pleural effusion in addition to other clinical and radiologic variables.8–11 Ascites is a sign indicating decompensated liver disease, and it is associated with worse survival outcomes.8,12 Pleural effusion is another predictor of worse long-term survival in cirrhotic patients and in HCC patients, and it may develop secondary to anatomic defects in the diaphragm or due to coexisting cardiac disease.8,13 None of the patients included in our study had moderate or large volume ascites or pleural effusion. Despite this, small volume ascites/pleural effusion were independent factors predictive of overall and/or progression-free survival. However, other laboratory and imaging features suggestive of portal hypertension and decompensated liver disease (eg, ALBI score, MELD score, splenomegaly) were significantly associated with worse survival on univariate analysis. Only ascites and pleural effusion were independent prognostic factors on multivariate analysis, which emphasizes the importance of these features. Tumor-in-vein involving the portal vein is a negative prognostic feature, and it is associated with higher tumor grade, more numerous disease foci, higher serum AFP levels, compromised liver function and worse performance status.14 Greater tumor-in-vein extension through the portal system is associated with worse survival outcomes.15,16 In our study, patients with small portal vein involvement (<2cm regardless of involvement of the main portal vein) were grouped together with patients without radiologic evidence of tumor-in-vein; this group was compared with patients having tumor in-vein >2cm in longest diameter. Although patients with larger extent of tumor-in-vein had significantly worse overall and progression-free survival on univariate analysis, portal vein tumor thrombus was not an independent prognostic factor on multivariate analysis. Cavernous transformation develops secondary to occlusion of the portal vein by bland or tumor thrombi. The authors evaluated the impact of cavernous transformation on survival outcomes. All patients with cavernous transformation in the current study had large volume tumor-in-vein involving the portal system, and they were associated with significantly worse survival outcomes on univariate analyses. However, cavernous transformation was not an independent prognostic feature on multivariate analyses. Hepatic vein tumor thrombus is a negative prognostic feature for HCC.17,18 In the current study, hepatic vein tumor thrombi were identified in 10.9% of patients, whereas 38.2% of patients had portal vein tumor thrombus. Hepatic vein tumor thrombus was an independent prognostic factor associated with significantly worse progression-free survival rates. In a large cohort of HCC patients with hepatic vein tumor thrombus who underwent surgical resection, Kokudo et al reported similar outcomes where portal vein tumor thrombus was not an independent prognostic factor.17 Thus, the results of the current study re-emphasize Kokudo’s outcomes and highlight the importance of hepatic vein tumor thrombus as a negative prognostic factor as opposed to portal vein tumor thrombus. Bland thrombi involving the portal system or hepatic veins were not significantly associated with survival outcomes. Attenuation of HCC on pre-contrast CT images has been associated with tumor differentiation, with 75% of poorly differentiated lesions demonstrating lower attenuation compared to the liver parenchyma and 2/3 of hyperattenuating lesions being well differentiated.19 In the current study, low attenuation (<40 HU) of HCC on unenhanced CT images was significantly associated with worse overall survival and it was an independent prognostic factor at multivariate analysis, particularly in patients who had received prior therapy. Low attenuation of HCC may occur secondary to intracellular fat which, on MRI, can show drop of signal on opposed-phase imaging. Interestingly, among 12 patients with baseline MRI, patients with >10% drop in signal on opposed-phase imaging had significantly worse progression-free survival. However, due to the small number of cases, these patients could not be included in multivariate analysis. On the contrary to our outcomes, a study by Koulakian et al failed to identify a statistically significant association between tumor pre-contrast attenuation and survival outcomes in patients who received sorafenib.20 To our knowledge, no prior studies reported such an association; hence, these results should be verified in future studies. Portal vein tumor thrombi are typically classified using the Japanese VP system and Cheng’s classification systems.21,22 However, these systems include categories for second order portal branch involvement and microscopic portal vein tumor thrombi which may not be identifiable on current cross-sectional imaging and may require evaluation of the surgical specimen for accurate classification. These two systems do not take into consideration the size of the tumor thrombus and only consider its anatomic location. Hence, a central HCC (eg, in the caudate lobe) directly invading the main portal vein and a peripheral tumor with a tumor thrombus extending for several centimeters through portal system down to the main portal vein are both classified similarly. From a surgical point of view, both cases have a major impact on any potential surgical approach. During data collection, the authors recognized that several patients with central HCC with a small tumor-in-vein directly invading the main portal vein and/or its main branches had better prognosis compared to patients with larger tumor thrombi extending from peripheral branches down to the main portal veins. Therefore, the authors classified portal vein thrombi by taking into consideration both their size and location as follows: 1) no identifiable tumor thrombi, 2) tumor thrombi <2cm regardless of their location, 3) tumor thrombi >2cm without invasion of the main portal vein, 4) tumor thrombi >2cm with involvement of the main portal vein. Due to the small number of patients, the former two categories were grouped together and compared with the latter two categories. Patients with small/absent tumor thrombi had significantly better progression-free survival on univariate analysis (4.9 months vs 1.6 months; p = 0.044), but this was not statistically significant on multivariate analysis (HR: 0.12; 95% CI: 0.05–1.39, p = 0.117). Cavernous transformation is a feature closely associated with occlusive (tumor or bland) thrombi involving the main portal vein. This condition develops when small venous structures in the gastrohepatic ligament are recruited to “bypass” occluded segments of the portal vein and in order to drain blood from the mesenteric/splenic veins to the liver. Cavernous transformation is identifiable on cross-sectional imaging. In the current study, cavernous transformation was associated with significantly worse progression-free survival on univariate analysis (4.9 months vs 0.8 months, p = 0.001). These patients universally had ascites, likely related to portal hypertension, which may explain why this feature was not an independent predictor of survival on multivariate analysis (HR: 1.36; 95% CI: 0.16–11.72, p = 0.779). The IMbrave 150 trial reported a median progression-free survival of 6.8 months and a 12-month overall survival rate of 67.2% as opposed to 3.0 months and 45.7%, respectively, in the current study.2 This difference in survival outcomes is likely related to differences in study cohort. The IMbrave 150 trial only included patients with Child-Pugh score A (72% had A5 and 28% had A6);2 whereas the current study included patients with higher Child-Pugh scores (45.5% of patients had Child-Pugh score B). In the current study, patients with prior therapy had better survival outcomes compared to treatment naïve patients (overall survival and progression-free survival were 9.2 months and 3.9 months vs 7.4 months and 2.8 months, respectively). This was an unexpected finding and the authors speculate that this may be secondary to selection bias related to potentially less aggressive tumor biology in previously treated patients, particularly since they had a longer interval between diagnosis to initiation of atezolizumab plus bevacizumab therapy (23.0 months vs 1.3 months). The limitations of the current study include the small population size, single-institution and retrospective study design. In addition, the group of previously treated patients consisted of a heterogeneous group of patients who had received a variety of surgical interventions, percutaneous ablation procedures, chemo/radioembolization and/or different lines of systemic therapy (including investigational drugs). Therefore, investigators should be cautious when interpreting the outcomes of this group of patients. In addition, most patients received different types of local and/or systemic therapy regimens after disease progression, which limits the ability to confidently identify predictors of overall survival.

Conclusion

Independent prognostic features predictive of worse survival outcomes in patients with unresectable HCC patients receiving atezolizumab plus bevacizumab combination include ascites, pleural effusion, hepatic vein tumor thrombus and lesions with low pre-contrast attenuation on CT images. None of the laboratory parameters included in the current study was an independent prognostic factor on multivariate analysis.
  22 in total

1.  Updated treatment recommendations for hepatocellular carcinoma (HCC) from the ESMO Clinical Practice Guidelines.

Authors:  A Vogel; E Martinelli
Journal:  Ann Oncol       Date:  2021-03-05       Impact factor: 32.976

2.  Non-measurable infiltrative HCC: is post-contrast attenuation on CT a sign of tumor response?

Authors:  Hasmik Koulakian; Wassim Allaham; Valérie Vilgrain; Maxime Ronot
Journal:  Eur Radiol       Date:  2018-11-09       Impact factor: 5.315

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

Review 4.  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

5.  Comparison of prognostic models in advanced hepatocellular carcinoma patients undergoing Sorafenib: A multicenter study.

Authors:  Giovanni Marasco; Antonio Colecchia; Maria Letizia Bacchi Reggiani; Ciro Celsa; Fabio Farinati; Edoardo Giovanni Giannini; Francesca Benevento; Gian Ludovico Rapaccini; Eugenio Caturelli; Mariella Di Marco; Elisabetta Biasini; Fabio Marra; Filomena Morisco; Francesco Giuseppe Foschi; Marco Zoli; Antonio Gasbarrini; Gianluca Svegliati Baroni; Alberto Masotto; Rodolfo Sacco; Giovanni Raimondo; Francesco Azzaroli; Andrea Mega; Gianpaolo Vidili; Maurizia Rossana Brunetto; Gerardo Nardone; Elton Dajti; Federico Ravaioli; Francesca Avanzato; Davide Festi; Franco Trevisani
Journal:  Dig Liver Dis       Date:  2021-01-19       Impact factor: 4.088

6.  A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study.

Authors:  Giovanni Marasco; Francesco Poggioli; Antonio Colecchia; Giuseppe Cabibbo; Filippo Pelizzaro; Edoardo Giovanni Giannini; Sara Marinelli; Gian Ludovico Rapaccini; Eugenio Caturelli; Mariella Di Marco; Elisabetta Biasini; Fabio Marra; Filomena Morisco; Francesco Giuseppe Foschi; Marco Zoli; Antonio Gasbarrini; Gianluca Svegliati Baroni; Alberto Masotto; Rodolfo Sacco; Giovanni Raimondo; Francesco Azzaroli; Andrea Mega; Gianpaolo Vidili; Maurizia Rossana Brunetto; Gerardo Nardone; Luigina Vanessa Alemanni; Elton Dajti; Federico Ravaioli; Davide Festi; Franco Trevisani; On Behalf Of The Italian Liver Cancer Ita Li Ca Group
Journal:  Cancers (Basel)       Date:  2021-05-29       Impact factor: 6.639

Review 7.  Multidisciplinary management of hepatocellular carcinoma with portal vein tumor thrombus - Eastern Hepatobiliary Surgical Hospital consensus statement.

Authors:  Shuqun Cheng; Jiamei Yang; Feng Shen; Weiping Zhou; Yi Wang; Wenming Cong; Guang Shun Yang; Hongyan Cheng; Heping Hu; Chunfang Gao; Jia Guo; Aijun Li; Yan Meng; Xiaoqing Jiang; Yefa Yang; Guojun Qian; Ming Luo; Bing Hu; Xiaobo Man; Baohua Zhang; Changqing Su; Feiguo Zhou; Nan Li; Jie Shi; Meng Wang; Yaxin Zheng; Weixing Guo; Juxian Sun; Hongyang Wang; Wan-Yee Lau; Meng-Chao Wu
Journal:  Oncotarget       Date:  2016-06-28

8.  The long-term outcomes of cirrhotic patients with pleural effusion.

Authors:  Tsung-Hsing Hung; Chih-Wei Tseng; Chih-Chun Tsai; Chen-Chi Tsai; Kuo-Chih Tseng; Yu-Hsi Hsieh
Journal:  Saudi J Gastroenterol       Date:  2018 Jan-Feb       Impact factor: 2.485

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