Literature DB >> 27456947

Overexpression of PD-L1 and PD-L2 Is Associated with Poor Prognosis in Patients with Hepatocellular Carcinoma.

Hae Il Jung1, Dongjun Jeong2, Sanghee Ji2, Tae Sung Ahn1, Sang Ho Bae1, Susie Chin3, Jun Chul Chung4, Hyung Chul Kim4, Moon Soo Lee1, Moo-Jun Baek1.   

Abstract

PURPOSE: Hepatocellular carcinoma (HCC) is one of the most aggressive malignancies. Recently, the overexpression of programmed cell death 1 (PD-1) and PD-1 ligand 1 (PD-L1) has been shown to correlate with poor prognosis in many cancers. However, the expression of PD-L1 or PD-1 ligand 2 (PD-L2) and clinical outcomes have not been fully investigated in HCC.
MATERIALS AND METHODS: Formalin-fixed paraffin-embedded samples were obtained from 85 patients with HCC who underwent surgery. The expression of PD-Ls (PD-L1, PD-L2) was evaluated by immunohistochemical analysis.
RESULTS: The proportion of high expression groups of PD-L1 and PD-L2 was 27.1% and 23.5%, respectively. Univariate analysis revealed that tumor size (p < 0.001), histological differentiation (p=0.010), PD-L1 expression (p < 0.001), and PD-L2 expression (p=0.039) were significant prognostic factors of overall survival in patients with HCC. Multivariate analysis revealed that overall tumor size (hazard ratio [HR], 4.131; 95% confidence interval [CI], 2.233 to 7.643; p < 0.001 and HR, 3.455; 95% CI, 1.967 to 6.067; p < 0.001) and PD-L1 expression (HR, 5.172; 95% CI, 2.661 to 10.054; p < 0.001 and HR, 3.730; 95% CI, 1.453 to 9.574; p=0.006) were independent prognostic values for overall and disease-free survival. Patients with high expression of PD-Ls had a significantly poorer survival than those with low expression (p < 0.001, p=0.034).
CONCLUSION: The overexpression of PD-Ls in HCC patients is correlated with survival and tumor recurrence. Further evaluation of PD-1 and PD-Ls as therapeutic targets and predictive biomarkers for HCC is warranted.

Entities:  

Keywords:  Hepatocellular carcinoma; Prognosis; Programmed cell death 1; Programmed cell death 1 ligand

Mesh:

Substances:

Year:  2016        PMID: 27456947      PMCID: PMC5266389          DOI: 10.4143/crt.2016.066

Source DB:  PubMed          Journal:  Cancer Res Treat        ISSN: 1598-2998            Impact factor:   4.679


Introduction

Hepatocellular carcinoma (HCC) is one of the most aggressive malignancies, accounting for over 1 million deaths annually worldwide. There is a clear, causative relationship between HCC and hepatitis B virus (HBV) infection. The highest incidence of disease (> 10 to 20 cases per 100,000) is found in central and Southeast Asia, and in tropical Africa [1]. South Korea is also a high incidence area at 24.5 per 100,000. Moreover, according to the Korean Central Cancer Registry of 2010, HCC is the second and fourth most common cause of cancer death in males and females, respectively, in South Korea. Compounded by underlying cirrhosis, the majority of patients with HCC can be treated with palliative therapy using transarterial chemoembolization or sorafenib [2]. However, sorafenib is limited by its high cost and side effects, which include diarrhea, alopecia, fatigue, cutaneous desquamation, and hypertension. Additionally, sorafenib cannot induce tumor necrosis, although it can inhibit the growth of HCC [3]. After strategies to minimize tumor growth with all of the above therapeutic modalities have failed, only supportive care can be provided. Thus, new therapeutic modalities are needed. Programmed cell death 1 (PD-1) is an inhibitory receptor of T cells and activated B cells. This receptor is a member of the CD28 family that interacts with the B7 family ligands, including PD-1 ligand 1 (PD-L1, B7-H1) and PD-L2 (B7-DC). These ligands are key check-point molecules of T cells. While PD-L1 is generally expressed on both hematopoietic cells and non-hematopoietic cells, such as T cells, B cells, endothelial cells, and epithelial cells, PD-L2 expression is limited to antigen presenting cells and macro-phages [4]. The interaction of PD-1 and PD-Ls (PD-L1 and PD-L2) is generally correlated with immune tolerance and evasion by tumor cells. The prognostic significance of PD-Ls and the anti-tumor effects of anti–PD-1 antibody have also been reported in many cancers, including breast, lung, ovarian, and melanoma. However, the roles of PD-Ls in antitumor immunity and their clinical significance have not been fully investigated in HCC. Therefore, in the present study, we examined the expression of PD-Ls in different HCC tissues by immunohistochemical staining and investigated the correlation of overexpression of PD-Ls and prognosis in HCC.

Materials and Methods

1. Patients and samples

Eighty-five patients who underwent macroscopically complete curative resection between January 2001 and January 2010 at Soonchunhyang University Cheonan and Bucheon hospitals with HCC that was pathologically confirmed and formalin-fixed, paraffin-embedded samples were selected. No patients received preoperative chemotherapy or radiotherapy, and none had distant metastasis. No patients died within 30 days of surgery. Patients lost to follow up were not included. All of the clinicopathological data were collected by retrospective review of medical charts and pathological records. The clinicopathological parameters followed the rules for the study of primary HCC, third edition, in June 2007, Korea. Tumor differentiation (grade) was assessed using the Edmondson and Steiner nuclear grading system. Tumor stage was defined according to TNM classification of the American Joint Committee on International Union against Cancer, Okuda staging, Barcelona Clinical Liver Cancer (BCLC) staging and Modified Union for International Cancer Control (UICC) staging. The Institutional Review Board of the Soonchunhyang University Cheonan Hospital approved the study (SCHCA 2015-10-020-002).

2. Immunohistochemistry

Samples were sectioned with a thickness of 4 μm and the antigen was retrieved by heating the slides in antigen retrieval solution (0.01 M citrate buffer, pH 6.0). Peroxidase was inhibited with 3% hydrogen peroxidase in methanol for 40 min at room temperature. Primary antibodies were diluted 1:50 (PD-L1 and PD-L2). The sections were allowed to react with primary antibodies for 2 hours at room temperature, then reacted with a secondary antibody EnVision HRP-Labeled Polymer (Dako, Carpinteria, CA). The slides were then visualized using 3,3′-diaminobenzidine chromogen (Dako), and counterstained with hematoxylin (Muto Pure Chemical Ltd., Tokyo, Japan). Protein expression levels were assessed by two independent pathologists without clinical information using light microscopy.

3. Semiquantitative analysis of PD-Ls

Two independent pathologists who were blinded to the clinical outcomes of the patients examined the stained slides. The pathologists determined the expression of PD-Ls semiquantitatively by assessing the percentage of positively stained immunoreactive cells and staining intensity. The staining percentage (0 points, < 10%; 1 point, 10%-50%; and 2 points, > 50%) and intensity of PD-Ls (0, no staining; 1, weak staining; 2, moderate staining; and 3, strong staining) in tumor cells were scored, and the overall score for PD-Ls expression was the sum of the scores. The samples were divided into two groups for statistical analysis according to the overall scores: low expression scores from 0-2 and high-expression scores from 3 to 5. After the initial independent evaluation, both pathologists combined their scores and discussed the results to resolve any disparities.

4. Statistical analysis

All data were analyzed using PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL) with p < 0.05 as the threshold of statistical significance. Chi-squared and Fisher exact tests were used to compare the levels of PD-Ls expression and various clinicopathological characteristics between the groups. Survival curves for overall survival (OS) and disease-free survival (DFS) were calculated using the Kaplan-Meier method and compared by the log-rank test. Multivariate analysis of prognostic relevance was evaluated by multivariate Cox regression analysis.

Results

1. Association between PD-L1 and PD-L2 expression and clinicopathological characteristics of patients with HCC

Among 85 HCC tissue samples, immunohistochemical staining with anti–PD-L1 and anti–PD-L2 antibodies displayed yellow or brown staining in the cell membrane and cytoplasm. The PD-L1 expression level was scored as 0-1, 2, 3-4, and 5 in 22 (25.9%), 40 (47.1%), 18 (21.2%), and five (5.8%) samples, respectively. The PD-L2 expression level was scored as 0-1, 2, 3-4, and 5 in 38 (44.7%), 22 (25.9%), 17 (20.0%), and three (3.5%) samples, respectively. Accordingly, the proportion of high expression groups (scores of 3-5) of PD-L1 and PD-L2 was 27.1% and 23.5%, respectively (Fig. 1). Other clinicopathological characteristics of the PD-Ls are shown in Table 1. PD-L1 expression was strongly correlated with tumor size (p=0.049), recurrence (p=0.028), and PIVKA-II (p=0.037). PD-L2 expression was related to histological differentiation (p=0.002) in patients with HCC. However, no significant correlations were observed between PD-Ls expression and the following clinicopathological variables: age, sex, liver cirrhosis, tumor stage, portal vein invasion, microvascular invasion and α-fetoprotein.
Fig. 1.

Immunohistochemical staining of hepatocellular carcinoma tissues using anti–PD-L1 and anti–PD-L2 antibodies. (A-H) Representative staining patterns of hepatocellular carcinoma with negative (A, E), weak intensity (B, F), moderate intensity (C, G), and strong intensity (D, H) staining of PD-L1 (A-D) and PD-L2 (F-H) are shown (×200). PD-L, programmed cell death 1 ligand.

Table 1.

Clinicopathologic characteristics and PD-L1 and PD-L2 expression in patients with hepatocellular carcinoma

VariableTotal cases (n=85)PD-L1 expression (%)
p-valuePD-L2 expression (%)
p-value
LowHighLowHigh
All cases (%)10062 (72.9)23 (27.0)65 (76.4)20 (23.5)
Age (yr)
 ≤ 534433 (75.0)11 (25.0)0.65834 (77.3)10 (22.7)0.857
 > 534129 (70.7)12 (29.3)31 (75.6)10 (24.4)
Sex
 Male6947 (68.1)22 (31.9)0.05851 (73.9)18 (26.1)0.338
 Female1615 (93.8)1 (6.3)14 (87.5)2 (12.5)
Liver cirrhosis
 (-)6042 (70.0)18 (30.0)0.34447 (78.3)13 (21.7)0.531
 (+)2520 (80.0)5 (20.0)18 (72.0)7 (28.0)
Tumor size
 < 55242 (80.8)10 (19.2)0.04142 (80.8)10 (19.2)0.241
 ≥ 53320 (24.1)13 (8.9)23 (69.7)10 (30.3)
Histologic differentiation
 GI33 (100)00.1291 (33.3)2 (66.7)0.002
 GII3930 (76.9)9 (23.1)36 (92.7)3 (7.7)
 GIII3727 (73.0)10 (27.0)25 (67.6)12 (32.4)
 GIV62 (33.3)4 (66.7)3 (50.0)3 (50.0)
BCLC stage
 A1512 (80.0)3 (20.0)0.47313 (86.7)2 (13.3)0.078
 B3930 (76.9)9 (23.1)33 (84.6)6 (15.4)
 C2718 (66.7)9 (33.3)17 (63.0)10 (37.0)
 D42 (2.9)2 (1.1)2 (50.0)2 (50.0)
Modified UICC stage
 I54 (80.0)1 (20.0)0.3555 (100)00.100
 II4737 (78.7)10 (21.3)39 (83.0)8 (17.0)
 III2919 (65.6)10 (34.5)19 (65.6)10 (34.5)
 IV42 (50.0)2 (50.0)2 (50.0)2 (50.0)
Portal vein invasion
 (-)7255 (76.4)17 (23.6)0.10455 (76.4)17 (23.6)0.100
 (+)137 (53.8)6 (46.2)10 (76.9)3 (23.1)
Microvascular invasion
 (-)3019 (63.3)11 (36.7)0.20120 (66.7)10 (33.3)0.180
 (+)5543 (78.2)12 (21.8)45 (81.8)10 (18.2)
Recurrence
 (-)2422 (91.7)2 (8.3)0.02819 (79.2)5 (20.8)0.784
 (+)6140 (65.6)21 (34.4)46 (75.4)15 (24.6)
Distant metastasis
 (-)5741 (71.9)16 (28.1)0.80245 (78.9)12 (21.1)0.587
 (+)2821 (75.0)7 (25.0)20 (71.4)8 (28.6)
Viral marker
 HBV7150 (70.4)21 (29.6)0.57255 (77.5)16 (22.5)0.635
 HCV33 (100)02 (66.7)1 (33.3)
 None119(81.8)2 (18.2)8 (72.7)3 (27.3)
α-FP
 < 153427 (79.4)7 (20.6)0.32526 (76.5)8 (23.5)> 0.990
 ≥ 155135 (68.6)16 (31.4)39 (76.5)12 (23.5)
PIVKA-II
 < 402623 (88.5)3 (11.5)0.03722 (84.6)4 (15.4)0.281
 ≥ 405939 (66.1)20 (33.9)43 (72.9)16 (13.9)

PD-L1, programmed cell death 1 ligand 1; PD-L2, programmed cell death 1 ligand 2; BCLC, Barcelona Clinic Liver Cancer; UICC, the Union Internacional Contra la Cancrum; HBV, hepatitis B virus; HCV, hepatitis C virus; α-FP, α-fetoprotein level; PIVKA-II, protein induced by vitamin K absence or antagonist-II.

2. Univariate and multivariate survival analysis

The Cox proportional hazard model was used to determine if the independent factors affected the rates of OS and DFS in patients with HCC (Tables 2 and 3). Univariate analyanalysis revealed that tumor size (p < 0.001), histological differentiation (p=0.010), BCLC stage (p=0.033), modified UICC stage (p=0.009), microvascular invasion (p=0.016), PD-L1 expression (p < 0.001), and PD-L2 expression (p=0.039) were significant prognostic factors of OS in patients with HCC. Significant factors for DFS were tumor size (p < 0.001), metastasis (p=0.004), and PD-L1 (p < 0.001) (Table 2). Multivariate analysis showed that tumor size (hazard ratio [HR], 4.131; 95% confidence interval [CI], 2.233 to 7.643; p < 0.001), PD-L1 expression (HR, 5.172; 95% CI, 2.661 to 10.054; p < 0.001), and PD-L2 expression (HR, 1.960; 95% CI, 1.043 to 3.684; p=0.037) were independent prognostic factors of OS. The prognostic factors for DFS were tumor size (HR, 3.835; 95% CI, 2.190 to 6.714; p < 0.001) and PD-L1 expression (HR, 3.730; 95% CI, 1.453 to 9.574; p=0.006) (Table 3).
Table 2.

Univariate analysis using the Cox proportional hazard regression model for OS and DFS in patients with hepatocellular carcinoma

VariableOS
p-valueDFS
p-value
HR (95% CI)HR (95% CI)
Age (> 53 yr vs. ≤ 53 yr)1.452 (0.832-2.533)0.1901.516 (0.914-2.515)0.107
Sex (male vs. female)0.517 (0.232-1.152)0.5170.635 (0.322-1.251)0.189
Tumor size (≥ 5 cm vs. < 5 cm)3.820 (2.148-6.792)< 0.0012.919 (1.715-4.969)< 0.001
Histologic differentiation (GI, II vs. GIII, IV)2.124 (1.195-3.777)0.0101.360 (0.821-2.254)0.232
Portal vein invasion (no vs. yes)1.805 (0.899-3.625)0.0971.784 (0.945-3.367)0.074
Microvascular invasion (no vs. yes)0.501 (0.286-0.878)0.0160.642 (0.384-1.074)0.091
Modified UICC stage (I, II vs. III, IV)2.094 (1.198-3.660)0.0091.402 (0.843-2.332)0.193
BCLC stage (A, B vs. C, D)1.841 (1.050-3.227)0.0331.362 (0.814-2.279)0.239
PD-L1 (low vs. high)4.017 (2.255-4.017)< 0.0013.290 (1.912-5.660)< 0.001
PD-L2 (low vs. high)1.904 (1.035-3.503)0.0391.337 (0.745-2.401)0.331
PD-Ls (1, 2)
 OverallNA< 0.001NA< 0.001
 Both low vs. either low2.262 (1.228-4.166)0.0091.576 (0.902-2.754)0.110
 Both low vs. both high8.217 (3.481-19.397)< 0.0015.659 (2.479-12.921)< 0.001

OS, overall survival; DFS, disease-free survival; HR, hazard ratio; CI, confidence interval; UICC, the Union Internacional Contra la Cancrum; BCLC, Barcelona Clinic Liver Cancer; PD-L1, programmed cell death 1 ligand 1; PD-L2, programmed cell death 1 ligand 2; PD-L, programmed cell death 1 ligand; NA, not acquired.

Table 3.

Multivariate analysis using the Cox proportional hazard regression model for OS and DFS in patients with hepatocellular carcinoma

VariableOS
p-valueDFS
p-value
HR (95% CI)HR (95% CI)
Tumor size (≥ 5 cm vs. < 5 cm)4.131 (2.233-7.643)< 0.0013.835 (2.190-6.714)< 0.001
Histologic differentiation (GI, II vs. GIII, IV)1.385 (0.730-2.630)0.319NANA
Microvascular invasion (no vs. yes)0.656 (0.365-1.178)0.158NANA
Modified UICC stage (I, II vs. III, IV)1.130 (0.476-2.680)0.781NANA
BCLC stage (A, B vs. C, D)0.710 (0.203-2.487)0.593NANA
PD-L1 (low vs. high)5.172 (2.661-10.054)< 0.0013.730 (1.453-9.574)0.006
PD-L2 (low vs. high)1.960 (1.043-3.684)0.0371.327 (0.717-2.455)0.368
PD-Ls (1, 2)
 OverallNA0.019NA0.019
 Both low vs. either low1.464 (0.772-2.774)0.2430.562 (0.242-1.307)0.181
 Both low vs. both high9.660 (3.989-23.393)< 0.0011.981 (0.585-6.704)0.272

OS, overall survival; DFS, disease-free survival; HR, hazard ratio; CI, confidence interval; NA, not acquired; UICC, the Union Internacional Contra la Cancrum; BCLC, Barcelona Clinic Liver Cancer; PD-L1, programmed cell death 1 ligand 1; PD-L2, programmed cell death 1 ligand 2; PD-L, programmed cell death 1 ligand.

Kaplan-Meier analysis and the log-rank test demonstrated that the 5-year survival rate of high expression groups of PD-Ls were significantly worse than those of low expression groups (p < 0.001, p=0.034) (Fig. 2A and C). The median survival times in the low PD-L1 and PD-L2 expressing groups were 94 and 67 months, compared with 11 and 22 months for the high PD-L1 and PD-L2 expressing groups, respectively. The recurrence rates were also higher in the high PD-L1 expressing group than in the low PD-L1 expressing group (p < 0.001) (Fig. 2). However, PD-L2 expression was correlated with an impaired DFS, but the difference was not statistically significant (p=0.321). We also investigated combined PD-Ls expression and clinical outcomes, including OS and recurrence. The patients were divided into three groups: I, both low (n=50); II, either high (n=27); and III, both high (n=8). The median OS and DFS were 87 and 31 months for group I, 34 and 12 months for group II, and 6 and 3 months for group III. There were significant differences between each group for OS (I vs. II, p=0.007; I vs. III, p < 0.001; II vs. III, p=0.009), and significant differences in recurrence were also found between groups I and III (p < 0.001), and groups II and III (p=0.007). However, disease free survival for groups I and II did not reach significance.
Fig. 2.

Kaplan-Meier survival curves for disease-free survival and overall survival according to PD-L1 (A, B), PD-L2 (C, D), and their combined (E, F) expression status.

Discussion

Many studies have reported that PD-1 inhibits T-cells proliferation, survival and function in in vitro and in vivo. Some studies of chronic inflammation and autoimmune disease have shown that PD-1 lymphocyte levels tend to be elevated in many autoimmune diseases, such as rheumatoid arthritis and Sjogren’s syndrome. Moreover, antiviral effects have been reported in chronic lymphocytic choriomeningitis infection and human immunodeficiency virus infection [5]. In malignancies, several studies have demonstrated that PD-L1 was associated with poor prognosis in other cancers, including melanoma, non-small cell lung carcinoma, esophageal carcinoma, gastric carcinoma, pancreatic carcinoma, renal cell carcinoma, and ovarian carcinoma [4,6-11]. In the present study, PD-L1 and PD-L2 were overexpressed in up to 27.1% and 23.5% of HCC specimens. These rates were not higher than those found for other malignancies, including cancers of the lung (50%), esophagus (44%), stomach (42%), breast (23%), and kidney (37%) [12]. We did find that PD-L1 was significantly correlated with tumor size, recurrence and PIVKA-II levels, and that PD-L2 levels were correlated with histological differentiation. Moreover, we found that patients with low expression of PD-Ls had significantly better survival than those with high expression in each group. In particular, simultaneous overexpression of both PD-Ls was more strongly correlated with poorer survival and postoperative recurrence compared to low expression of both PD-Ls. Multivariate analyses supported the finding that the expression of PD-Ls and tumor size were significantly associated with poorer prognosis independent of other potentially confounding factors, such as histological differentiation, presence of microvascular invasion, and tumor stage, which was also examined in univariate analyses. Although the overexpression of PD-L2 was not related to the postoperative recurrences in multivariate analyses, other factors, including overexpression of PD-L1 and tumor size were significantly associated with tumor recurrences. These results were similar to those of a previous study by Gao et al. [13]. Although the proportion of cirrhosis and HBV positive were higher when compared with our study (88% vs. 99.4%), their study also revealed a relationship between PD-L2 and clinical prognosis. These investigators not only looked into PD-Ls expression, but also granzyme B+, FoxP3+ regulatory T-cells infiltration on tissue microarrays of 240 patients with HCC. They reported that overexpression of PD-L2 and PD-L1 were significantly related to poorer survival, but that the difference in recurrence was not statistically significant [13]. These findings indicate that HBV infection had less of an effect on PD-L1 and PD-L2 expression levels in HCC, and that PD-1 blockade is more important than single PD-L1 or PD-L2 knockdown in targeting cancer. Another study that lacked clinical or prognostic data also showed that the expression of PD-L1 in HBV and HCC patients was higher at earlier stages of HCC during tumor progression, and that when the stage increased, there was a lower level of PD-L1 expression. Moreover, HBV infection had no significant influence on PD-L1 or PD-L2 expression in HCC [14]. However, a different study revealed that circulating PD-1/PD-L1 expression was associated with poor prognosis in HBV-related HCC patients following cryoablation [15]. Some preclinical studies in animal models reported that tumor cells in a PD-1 overexpression group grew much slower in a murine hepatocarcinoma model. Moreover, macrophages and cytotoxic T cells were increased in the soluble PD-1-CH50 peptide group because of their ability to inhibit the interaction of PD-1 and PD-L1 [16]. PD-L2 is principally induced through Th-2-associated cytokines. PD-L2 is mainly expressed by antigen-presenting cells, including macrophages, dendritic cells, mast cells, and some B cells, in response to interleukin (IL) 4 and interferon. In contrast, PD-L1 is expressed by a wide variety of immune cells and non-immune cells, as well as most normal tissue cells. The expression of PD-L2 is generally lower than that of PD-L1 [17]. The regulatory pathways of PD-L2 are different from those of PD-L1. The two major pathways that have been reported are the nuclear factor kB pathway and the signal transducer and activator of transcription 6 pathways [18]. Ohaegbulam et al. [4] revealed that PD-L1 and PD-1 binding requires more complex conformational changes than direct binding of PD-L2 to PD-1. Generally, it is known that the binding strength of PD-L2 to PD-1 is three times greater than that of PD-L1. In addition, the simultaneous binding of PD-L1 and L2 to PD-1 has been disproven, implying that the two ligands compete with each other to bind to the receptor [4]. The relationship between PD-L2 and disease prognosis remains controversial. Rozali et al. [17] reported that PD-L2 positive patients had a worse prognosis than negative patients with esophageal carcinoma. However, no correlation with disease free survival was found in many other cancers, including pancreatic, ovarian, and HCC [17]. In our investigation, the overexpression of PD-L2 was found to be correlated with overall survival significantly, but the difference was not statistically significant for DFS. Our results sustained the hypothesis that the PD-L2 in the tumor immune escape differ depending on the status of organ's environments, for example, our cases had very high proportion of HBV and HCV. Recently, cancer immunotherapies have been highlighted in other malignancies, such as melanoma [8]. Previously, this category was primarily composed of cell-based immunotherapies, such as dendritic, natural killer, and genetically modified T cells, as well as non-cell–based immunotherapy with cytokines, oncolytic viruses, and T-cell checkpoint inhibitors. To date, T-cell checkpoint inhibitors are actively in development for enhancing antitumor immunity [3]. Two papers reporting that the blockade of cytotoxic T lymphocyte antigen-4 (CTLA-4) improved overall survival in metastatic melanoma were recently published [19,20]. In addition, three different checkpoint inhibitors, ipilimumab (anti-CTLA4), pembrolizumab (anti–PD-1), and nivolumab (anti–PD-1), have been approved by the U.S. Food and Drug Administration for melanoma. The drugs have demonstrated great clinical effects on melanoma and non-small cell lung cancer [21]. However, the mechanisms of hepatic carcinogenesis are complex, including genetic, angiogenic, and immunologic factors [3]. Moreover, the liver maintains self-tolerance because it contains specialized cells, such as hepatocytes and dendritic, liver sinusoidal endothelial, Kupffer, hepatic stellate cells, which enhance the secretion of anti-inflammatory cytokines, including IL-10, and transforming growth factor β. These cells induce immunosuppression via the release of such cytokines and by elevating the expression of CTLA-4 and PD-L1 [22]. Although this immunosuppression may contribute to difficulty in targeting HCC, lower toxicity and immunological responses for clinical outcomes have been shown in clinical trials of patients with HCC following treatment with tremelimumab (anti–CTLA-4) [23]. In addition, combination treatments with tumor ablation and nivolumab (anti–PD-1) are ongoing (NCT01658878).

Conclusion

In conclusion, our study demonstrated that the overexpression of PD-Ls in patients with HCC was strongly correlated with overall survival and tumor recurrence. Moreover, PD-Ls are independent prognostic factors for worse overall survival; thus, their overexpression may be a therapeutic target for HCC. However, further multicenter investigations and functional studies are needed to fortify these findings. Accordingly, additional research is warranted to investigate the use PD-Ls as predictive biomarkers for HCC. Moreover, further studies to target PD-1 and PD-Ls in HCC are urgently needed for HCC immunotherapy.
  21 in total

1.  Alternatively activated macrophages inhibit T-cell proliferation by Stat6-dependent expression of PD-L2.

Authors:  Silke Huber; Reinhard Hoffmann; Femke Muskens; David Voehringer
Journal:  Blood       Date:  2010-07-12       Impact factor: 22.113

Review 2.  The blockade of immune checkpoints in cancer immunotherapy.

Authors:  Drew M Pardoll
Journal:  Nat Rev Cancer       Date:  2012-03-22       Impact factor: 60.716

3.  Clinicopathological and prognostic significance of programmed cell death ligand1 (PD-L1) expression in patients with non-small cell lung cancer: a meta-analysis.

Authors:  Zhen-Kui Pan; Feng Ye; Xuan Wu; Han-Xiang An; Jing-Xun Wu
Journal:  J Thorac Dis       Date:  2015-03       Impact factor: 2.895

4.  Clinical significance and therapeutic potential of the programmed death-1 ligand/programmed death-1 pathway in human pancreatic cancer.

Authors:  Takeo Nomi; Masayuki Sho; Takahiro Akahori; Kaoru Hamada; Atsushi Kubo; Hiromichi Kanehiro; Shinji Nakamura; Koji Enomoto; Hideo Yagita; Miyuki Azuma; Yoshiyuki Nakajima
Journal:  Clin Cancer Res       Date:  2007-04-01       Impact factor: 12.531

5.  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

6.  Overexpression of PD-L1 significantly associates with tumor aggressiveness and postoperative recurrence in human hepatocellular carcinoma.

Authors:  Qiang Gao; Xiao-Ying Wang; Shuang-Jian Qiu; Ichiro Yamato; Masayuki Sho; Yoshiyuki Nakajima; Jian Zhou; Bai-Zhou Li; Ying-Hong Shi; Yong-Sheng Xiao; Yang Xu; Jia Fan
Journal:  Clin Cancer Res       Date:  2009-02-01       Impact factor: 12.531

Review 7.  Immune tolerance: what is unique about the liver.

Authors:  Gisa Tiegs; Ansgar W Lohse
Journal:  J Autoimmun       Date:  2009-08-29       Impact factor: 7.094

8.  Safety and tumor responses with lambrolizumab (anti-PD-1) in melanoma.

Authors:  Omid Hamid; Caroline Robert; Adil Daud; F Stephen Hodi; Wen-Jen Hwu; Richard Kefford; Jedd D Wolchok; Peter Hersey; Richard W Joseph; Jeffrey S Weber; Roxana Dronca; Tara C Gangadhar; Amita Patnaik; Hassane Zarour; Anthony M Joshua; Kevin Gergich; Jeroen Elassaiss-Schaap; Alain Algazi; Christine Mateus; Peter Boasberg; Paul C Tumeh; Bartosz Chmielowski; Scot W Ebbinghaus; Xiaoyun Nicole Li; S Peter Kang; Antoni Ribas
Journal:  N Engl J Med       Date:  2013-06-02       Impact factor: 91.245

9.  Upregulation of PD-L1 and APE1 is associated with tumorigenesis and poor prognosis of gastric cancer.

Authors:  Yi Qing; Qing Li; Tao Ren; Wei Xia; Yu Peng; Gao-Lei Liu; Hao Luo; Yu-Xin Yang; Xiao-Yan Dai; Shu-Feng Zhou; Dong Wang
Journal:  Drug Des Devel Ther       Date:  2015-02-16       Impact factor: 4.162

Review 10.  PD-1 as a potential target in cancer therapy.

Authors:  David F McDermott; Michael B Atkins
Journal:  Cancer Med       Date:  2013-07-21       Impact factor: 4.452

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  71 in total

Review 1.  Cautious optimism-the current role of immunotherapy in gastrointestinal cancers.

Authors:  S Mendis; S Gill
Journal:  Curr Oncol       Date:  2020-04-01       Impact factor: 3.677

Review 2.  Immune Checkpoint Inhibitors in Hepatocellular Cancer: Current Understanding on Mechanisms of Resistance and Biomarkers of Response to Treatment.

Authors:  Amblessed E Onuma; Hongji Zhang; Hai Huang; Terence M Williams; Anne Noonan; Allan Tsung
Journal:  Gene Expr       Date:  2020-04-27

3.  Immuno-PET imaging of 68Ga-labeled nanobody Nb109 for dynamic monitoring the PD-L1 expression in cancers.

Authors:  Qingzhu Liu; Lei Jiang; Ke Li; Hang Li; Gaochao Lv; Jianguo Lin; Ling Qiu
Journal:  Cancer Immunol Immunother       Date:  2021-01-02       Impact factor: 6.968

4.  PD-L1 expression is an independent predictor of favorable outcome in patients with localized esophageal adenocarcinoma.

Authors:  Dagmar Kollmann; Desislava Ignatova; Julia Jedamzik; Yun-Tsan Chang; Gerd Jomrich; Andreas Baierl; Dmitry Kazakov; Michal Michal; Lars E French; Wolfram Hoetzenecker; Tobias Schatton; Reza Asari; Matthias Preusser; Michael Gnant; Emmanuella Guenova; Sebastian F Schoppmann
Journal:  Oncoimmunology       Date:  2018-03-13       Impact factor: 8.110

5.  Validation of the prognostic power of the RETREAT score for hepatocellular carcinoma recurrence using the UNOS database.

Authors:  Neil Mehta; Jennifer L Dodge; John P Roberts; Francis Y Yao
Journal:  Am J Transplant       Date:  2017-12-02       Impact factor: 8.086

6.  PD1-positive tumor-infiltrating lymphocytes are associated with poor clinical outcome after pulmonary metastasectomy for colorectal cancer.

Authors:  Dagmar Kollmann; Thomas Schweiger; Stefan Schwarz; Desislava Ignatova; Yun-Tsan Chang; Gerrit Lewik; Sebastian F Schoppmann; Wolfram Hoetzenecker; Walter Klepetko; Emmanuella Guenova; Konrad Hoetzenecker
Journal:  Oncoimmunology       Date:  2017-08-18       Impact factor: 8.110

7.  CXCL12 expression and PD-L1 expression serve as prognostic biomarkers in HCC and are induced by hypoxia.

Authors:  Alexander Semaan; Dimo Dietrich; Dominik Bergheim; Jörn Dietrich; Jörg C Kalff; Vittorio Branchi; Hanno Matthaei; Glen Kristiansen; Hans-Peter Fischer; Diane Goltz
Journal:  Virchows Arch       Date:  2016-12-02       Impact factor: 4.064

8.  Association between Genetic and Immunological Background of Hepatocellular Carcinoma and Expression of Programmed Cell Death-1.

Authors:  Naoshi Nishida; Kazuko Sakai; Masahiro Morita; Tomoko Aoki; Masahiro Takita; Satoru Hagiwara; Yoriaki Komeda; Mamoru Takenaka; Yasunori Minami; Hiroshi Ida; Kazuomi Ueshima; Kazuto Nishio; Masatoshi Kudo
Journal:  Liver Cancer       Date:  2020-03-17       Impact factor: 11.740

9.  Development and Validation of a Novel 8 Immune Gene Prognostic Signature Based on the Immune Expression Profile for Hepatocellular Carcinoma.

Authors:  Dafeng Xu; Yu Wang; Kailun Zhou; Jincai Wu; Zhensheng Zhang; Jiachao Zhang; Zhiwei Yu; Luzheng Liu; Xiangmei Liu; Bidan Li; Jinfang Zheng
Journal:  Onco Targets Ther       Date:  2020-08-14       Impact factor: 4.147

10.  MERTK inhibition alters the PD-1 axis and promotes anti-leukemia immunity.

Authors:  Alisa B Lee-Sherick; Kristen M Jacobsen; Curtis J Henry; Madeline G Huey; Rebecca E Parker; Lauren S Page; Amanda A Hill; Xiaodong Wang; Stephen V Frye; H Shelton Earp; Craig T Jordan; Deborah DeRyckere; Douglas K Graham
Journal:  JCI Insight       Date:  2018-11-02
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