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Review

Novel Cellular Therapies for Hepatocellular Carcinoma

1
UCL Cancer Institute, London WC1E 6DD, UK
2
University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK
3
Royal Free Hospital, Pond Street, London NW3 2QG, UK
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(3), 504; https://doi.org/10.3390/cancers14030504
Submission received: 25 November 2021 / Revised: 23 December 2021 / Accepted: 30 December 2021 / Published: 20 January 2022
(This article belongs to the Collection Novel Therapies for Hepatocellular Carcinoma)

Abstract

:

Simple Summary

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer related death worldwide. Most patients present with incurable disease and the prognosis remains poor. Immunotherapy using immune checkpoint inhibitors has become standard of care for advanced disease but only a minority respond, and novel approaches are needed. Cell based immune therapies have proven efficacy in haematological cancers and are currently being evaluated in solid tumours including HCC. Examples include Chimeric Antigen Receptor T cells (CAR-T) and T-cell receptor engineered T-cells (TCR-T). Here, we review the landscape of cellular immunotherapy for HCC, and outline how advanced engineering solutions may further enhance this therapeutic approach.

Abstract

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer related death worldwide. Most patients present with advanced disease, and current gold-standard management using tyrosine kinase inhibitors or immune checkpoint inhibitors (ICIs) offers modest clinical benefit. Cellular immune therapies targeting HCC are currently being tested in the laboratory and in clinical trials. Here, we review the landscape of cellular immunotherapy for HCC, defining antigenic targets, outlining the range of cell therapy products being applied in HCC (such as CAR-T and TCR-T), and exploring how advanced engineering solutions may further enhance this therapeutic approach.

1. Introduction

Hepatocellular carcinoma (HCC) accounts for 80% of all primary liver cancers and is a leading cause of cancer related mortality [1]. Common associations include Hepatitis B, Hepatitis C, non-alcoholic fatty liver disease and alcohol [2].
In the healthy liver, phagocytic, innate and diverse immunomodulatory CD4+ and cytotoxic CD8+ immune cell compartments permit detection and clearance of gut-derived pathogens and toxins, whilst maintaining immune tolerance [3]. Hepatotropic viruses, toxins and drug-induced necroinflammation drive proinflammatory cytokine secretion (interleukin 2 (IL-2), interleukin 7 (IL-7), interferon-gamma (IFNγ), which impairs homeostatic balance. Compensatory anti-inflammatory cytokine secretion (IL-10, IL-13 and transforming growth factor-beta (TGF-b) follows, creating a cycle of chronic damage and repair which can cause permanent structural damage, fibrosis, cirrhosis, and a predisposition towards tumorigenesis [2].
The HCC tumour immune microenvironment (TME) is diverse and complex, comprising Kupffer cells, liver sinusoidal endothelial cells, stellate cells, cancer associated fibroblasts (CAF) and dysfunctional adaptive and innate immune compartments. Research suggests that HCC is immunogenic: T-cell infiltration is associated with lower recurrence and higher 5-year OS [4], and low CD4:CD8 ratios are associated with lower tumour grade and lower recurrence rates [5].
Current treatments for early stage HCC include tumour resection, liver transplantation or ablative therapy and intermediate stage disease is managed with intra-arterial therapy [6]. However, patients with more extensive liver disease, portal vein involvement and/or extrahepatic disease require systemic therapy. The protein tyrosine kinase inhibitor (TKI) sorafenib was the first targeted agent to be approved by the US Food and Drug Administration (FDA) for advanced HCC after the SHARP trial demonstrated improved overall survival (OS) from 7.9 with placebo to 10.7 months with sorafenib [7].
Next-generation TKIs (Lenvatinib [8], regorafenib [9] and cabozantinib [10]), and the vascular endothelial growth factor (VEGF) receptor 2 monoclonal antibody (mAb) ramucirumab [11] have demonstrated similar modest improvements in clinical outcome compared with controls.
Immune checkpoint inhibitors (ICIs) are the most extensively tested immune therapy for HCC [12]. The Checkpoint040 trial (NCT01658878) of the Programmed Death Receptor-1 (PD-1) blocking antibody, Nivolumab, in advanced HCC, led to FDA approval in 2017 [13]. Objective response rates in the dose expansion phase were 20%, and Nivolumab had a manageable safety profile. Most recently, the combination of Atezolizumab (PD-L1 inhibitor) and bevacizumab (VEGF inhibitor) was demonstrated to have superior survival compared to sorafenib and has now become the first-line standard of care [14]. Recent international guidelines define the recommended first-and second line sequences based on available evidence [15]. Other novel ICIs targeting CTLA4 [16], TIM-3 and LAG-3 are also being tested [17,18,19,20,21]. ICIs are attractive for HCC as they are often well characterized agents that can slow tumour growth/ induce regression in a proportion of cases. Disadvantages include the apparent absence of curative potential, the need for ongoing treatment to maintain clinical effect (with attendant cost/health economic implications), and the risk of immune mediated adverse events (iMAEs) [22].
Adoptive cellular therapy (ACT) using both gene-modified and non-gene modified T-cells as a therapeutic modality in HCC is gaining traction. Redirecting T cells to recognize HCC tumour-associated antigens is now possible using gene engineering approaches to induce programmed expression of synthetic cell surface receptors on T cells. Examples include chimeric antigen receptor T-cells (CAR-T), and T-cell receptor modified T-cells (TCR-T) therapies, which are now being tested in clinical trials. Here, we provide an overview of current T cell therapy paradigms for HCC, and future directions for this novel therapeutic class. Figure 1 illustrates the wide range of immune-based therapies being applied in HCC, delineating what is currently approved and what is currently under investigation in clinical trials.

2. Non-Gene Modified Adoptive Cell Therapies

2.1. Cytokine Induced Killer (CIK) Cells

2.1.1. CIK Biology and Background

CIKs are CD3 + CD56+ natural killer(NK)-like T-cells expanded from peripheral blood mononuclear cells (PBMC) or cord blood by expansion with anti-CD3 monoclonal antibody(mAb), IL-2, interleukin-1-alpha (IL-1α) and IFNγ [23,24]. Preclinical models demonstrate that CIKs possess non-MHC-restricted cytotoxic and proliferative activity [25,26]. A single allogeneic CIK manufacture could potentially generate multiple products for multiple patients [27].

2.1.2. CIKs for HCC

Phase I clinical studies of ‘adjuvant’ CIKs in Barcelona Clinic Liver Cancer (BCLC) stage A/B disease post-surgery or trans-arterial chemo-embolization, suggest that CIKs can reduce tumour recurrence without serious adverse events or graft-versus-host-disease (GvHD) [28,29]. Further, a clinical trial of autologous CIKs was conducted in 13 HBV-associated HCC patients: 2/13 had early stage disease and 11/13 had advanced disease. CIKs were well-tolerated, with reductions in HBV viral load and slowed tumour growth in all patients, including partial response (PR) in 3/13 [30]. A subsequent Phase I basket trial of CIKs for advanced stage, refractory renal cell carcinoma, HCC and lymphoma treated 12 patients with 3 cycles of CIK therapy, infused at intervals of 3 weeks, at a median dose of 28 × 109 total cells (range, 6–61 × 109). CIKs were well-tolerated and 3/12 patients achieved complete response (CR) and 2/12 maintained stable disease (SD), with a mean follow up of 33 months (range, 9–44 months) [31].

2.1.3. Combinatorial Approaches: CIKs + TACE

Hao et al. evaluated CIK therapy combined with transcatheter arterial chemoembolization (TACE) in patients with unresectable HCC [32]. 72 patients received CIK combined with TACE, and 74 patients received TACE alone. The 6-month, 1-year and 2-year PFS was reported as 72.2%, 40.4% and 25.3% in the CIK + TACE group, compared with 34.8%, 7.7% and 2.6% in TACE-alone group. Median OS was 31 months (95% CI, 27–35 months) in the CIK + TACE group and 10 months (95% CI 7–13 months) in the TACE-alone group. These results speak to the potential for combinatorial immunotherapeutic approaches for HCC.
In a further clinical trial of 64 HCC patients [33], TACE was sequentially combined with radiofrequency ablation (RFA), with or without prior CIK therapy (33/64 patients + CIK, 31/63 patients-CIK). CIKs were administered in 8 doses at four weekly intervals via peripheral vein or hepatic artery. At 1 year, 29/33 (88%) patients in the CIK-treated group and 23/31 (68%) in the control group were recurrence-free [33].

2.1.4. Combinatorial Approaches: CIKs + Dendritic cells (DCs)

DCs can promote CIK activation, and combined DC-CIK therapy has been tested in an oncology basket study [34]. DC-CIK alone was reported to control tumour growth and improve OS [34,35]. In combination with Sorafenib, DC-CIK showed activity against the HCC target cell line BEL27402 in preclinical models, with improved cytotoxicity compared with DC-CIK alone, sorafenib alone and CIK cells alone (p < 0.01) [36]. DC-CIK may be further enhanced by the pro-inflammatory cytokine interleukin 24 (IL-24) [37]. IL-24-engineered DCs in co-culture with CIKs deliver significantly higher lytic activity against HCC cell lines than non-modified DCs [37].

2.1.5. Future Directions for CIK Therapy

Additional clinical data will help to elucidate the potential of unmanipulated CIKs for advanced HCC. To date, combination approaches using conventional agents (e.g., Sorafenib) and experimental agents (e.g., gene-modified DC) are yielding interesting results and require further investigation.

2.2. Tumour Infiltrating Lymphocytes (TILs)

2.2.1. TIL Biology and Background

TILs are polyclonal, tumour-targeting T-cells, expanded from patient tumour biopsies ex vivo for use as autologous therapeutics. In immunogenic tumours such as metastatic melanoma, overall response rates (ORR) are reported as 49–72%, and CR is observed in 10–20%, with durable responses in 40% [38,39,40]. Protracted ex vivo processing can lead to terminally differentiated TIL products in which immunosuppressive Treg compartments predominate. To overcome this, researchers can now selectively expand tumour-reactive/ neoantigen-responsive cytotoxic T-cells from within bulk TILs [41], and clinical studies of these products are underway in non-small cell lung cancer (NSCLC) and melanoma (NCT04032847; NCT03997474).

2.2.2. TILs for HCC

In preclinical models, HCC TILs are phenotypically exhausted, expressing high levels of TIM-3 and LAG-3, with a reduced capacity for cytokine secretion [42,43]. Co-blockade of T cell immunoreceptor with Ig and ITIM domains (TIGIT) and PD1 has been shown to improve proliferation and cytokine secretion in preclinical models [43].
To date, there is a paucity of published clinical trial data on TILs for high-risk, recurrent HCC, with only a single active trial of autologous TILs (NCT04538313). Further data are warranted to better characterise TIL therapy in HCC.

3. Gene Modified Adoptive Cell Therapies

Successful immunotherapeutic strategies for cancer rely on the ability of the immune system to recognize tumour associated antigens (TAAs) to deliver effective anti-tumour responses. Fundamentally, the immune system is designed to promote tolerance to self, and given that all tumours arise from self-tissue, the ability to generate a potent, endogenous anti-tumour response is a significant hurdle. To overcome this, gene engineering approaches to modify immune cells with synthetic receptors such as CAR-T and TCR-T, to increase the visibility of tumour-specific antigens (TSA) and TAA, holds great promise.

3.1. Chimeric Antigen Receptor T-Cells (CAR-T)

3.1.1. CAR-T Biology, Background, Targets

CARs are synthetic cell surface receptors engineered into immune cells to ‘reprogramme’ them to recognise and kill cells expressing specific tumour-associated targets in an MHC-independent manner [44,45]. CAR-T design is critical to function (Figure 2a). CAR structures typically comprise an extracellular, antibody-derived single-chain variable fragment (scFv) antigen-binding domain, coupled to a spacer and transmembrane domain, fused to an intracellular signalling endodomain which incorporates (at a minimum) CD3ζ signalling capability [44]. CARs with isolated CD3ζ signalling, i.e., first-generation CARs, have largely been superseded by CAR designs incorporating co-stimulatory domains such as CD28 or 41BB which have been shown to improve CAR-T expansion and cytotoxicity in vitro and in vivo [46,47]. Second generation CD19-targeting CARs with 41BB [48] and CD28 [49] costimulatory endodomains have emerged as the most impactful therapeutic paradigm shift in malignant haematology in the last decade, leading to global licensing of autologous CD19-targeting CAR-T for relapsed and refractory (r/r) B-cell cancers. Of note, third generation CARs, which incorporate two intracellular signalling domains (e.g., 41BB and CD28), are also currently under investigation [50,51,52,53,54,55,56] (Figure 2b). CAR-T for HCC is an area of active research with several promising CAR-T tumour targets identified. Here, we will focus on Glypican-3 (GPC3), alpha-fetoprotein (AFP), c-MET, Mucin 1 and NK group 2 member D ligand (NKG2DL). At time of review, 8 phase I/II CAR-T clinical trials for HCC are recruiting (Table 1).

3.1.2. Glypican-3 (GPC3) Biology

GPC3 is a 65kD, glycosylphosphatidylinositol (GPI) anchored 580 amino acid heparan sulphate proteoglycan [57,58], found on the placenta, where it plays a role in morphogenesis (via activation of the Wnt pathway), and in several solid tumours, including 72% of cases of HCC, where it portends to poor prognosis [59,60]. Critically, GPC3 is minimally expressed on other tissues including normal and cirrhotic liver [61,62]. Soluble GPC3 is found in 53% of HCC patients, and is under development as a disease biomarker [59]. GPC3 appears to have a role in both HCC prognosis and disease development [63,64,65]. SiRNA-mediated GPC3 silencing in primary HCC cells leads to reduced proliferation, increased apoptosis and impaired tumour cell migration compared to controls [66].

3.1.3. Glypican-3 (GPC3) Targeting CAR-T (Preclinical)

2nd and 3rd-generation GPC3-targeting CAR-T (GPC3-CAR-T) possess activity against HCC cell lines (HepG2, Huh-7) in vitro and in vivo [63,67,68]. Evaluation of 3rd generation GPC3-CAR-T in a patient derived xenograft (PDX) HCC model demonstrated a reduction in tumour burden compared with CD19-CAR-T controls. The authors report a single mouse with resistance to GPC3-CAR-T, in which the PDX had high PDL1 expression. To overcome this, they suggest that CAR plus ICI may be valuable in HCC [68], as has been shown in CAR-T models of breast cancer (Her2) and mesothelioma (mesothelin) [69,70].

3.1.4. Glypican-3 (GPC3) Targeting CAR-T (Clinical)

2 sequential phase I trials of autologous 2nd generation 41BBζ GPC3-CAR-T in adults with r/r advanced HCC (NCT 02395250; NCT03146234) are reported [71]. The first investigated GPC3-CAR-T in the context of 2 lymphodepletion regimens: cyclophosphamide (Cy) alone, at a dose of 500–1000 mg/m2/day for 1–2 days, versus Cy at a dose of 500 mg/m2/day for 1–3 days, in combination with fludarabine (Flu) at a dose of 25–30 mg/m2/day for 2–4 days. In the second study, all patients received Cy (500 mg/m2/day for 1–2 days) and Flu (20–25 mg/m2/day for 3–4 days) in combination.
In the first study, GPC3-CAR-T was administered as a split dose in 8 patients, all of whom received an initial dose of 1 × 105 CAR-T/kg. Repeated, incremental doses were administered as 6 infusions over 13 days to a maximum dose of 2 × 109 CAR-T/kg, with the aim of defining the maximum tolerated dose (MTD). In the second study, all 5 patients received the MTD recommended from the first study in one dose (20 × 108 CAR-T/kg). A single patient received an additional dose of 11.1 × 108 cells approximately 6 weeks following completion of initial therapy. In total, 13 patients were infused with a median of 19.9 × 108 GPC3-CAR-T (7.0–92.5 × 108) [71].
GPC3-CAR-T product characterization revealed enrichment for terminally differentiated, CD45RA+ re-expressing effector memory T-cells (78.2%) and effector memory T-cells (14.1%), with few central- or stem-cell memory T-cells [71]. Terminally differentiated T-cells have been shown to negatively impact CD19CAR-T activity, and this is likely also to be the case in HCC [72,73]. Research to optimize leukapheresis and product profile may enhance GPC3-CAR-T functionality [74].
Any grade cytokine release syndrome (CRS) was reported in 9/13 (69%) patients, with no grade ≥3 CRS events. 2/13 patients received tocilizumab (IL-6 receptor antagonist) and 4/9 received corticosteroids. 1/13 died from multi-organ failure in the context of grade 5 CRS following a total CAR-T dose of 20 × 108 cells [71].
1/13 patients achieved PR, 2/13 maintained SD and 8/13 developed PD [71]. Median OS for the whole cohort was 42.0% and 10.5% at 1 and 3 years, respectively. Whilst these response rates are disappointing, the toxicity profile was broadly tolerable, and this study has provided the foundation for further development of ‘optimised’ GPC3-CAR-T approaches. To this end, ‘armoured’ GPC3-CAR-T designs, with engineered modules for 41BBL and IL-15/IL-21 (NCT02932956) [75], combinatorial approaches using concurrent TKIs or IPIs (NCT03980288), and targeted delivery via hepatic artery infusion (NCT03993743) are all under investigation.
The potential impact of soluble GPC3 on GPC3-CAR-T function is not well characterised, but it is possible that soluble GPC3 may block access to cell-surface GPC3 [76]. It will be important for future studies to consider this in the design and preclinical evaluation of next-generation GPC3-CAR-T.

3.1.5. Alpha Fetoprotein (AFP) Biology

AFP is a 591 amino acid glycoprotein, and is expressed almost exclusively during embryonic development, with the exceptions of chronic liver inflammation [77] and 60–80% of HCC, where it is found both intracellularly (processed to peptide) and on the cell surface, presented on MHC class I. AFP is also secreted in the serum and is used as an HCC biomarker. Biologically, AFP promotes tumour proliferation and portends to poor prognosis [78,79].

3.1.6. Alpha Fetoprotein (AFP) Targeting CAR-T (Preclinical)

Due to the intracellular localisation of the antigen and its expression on MHC, CAR-T approaches are challenging. One group developed 2nd generation AFP-CAR-T(CD28/CD3ζ) using ET1402L1, a fully humanised binder specifically targeting the AFP158–166 epitope presented by HLA-A*02:01 [80]. HLA-A*02:01 CAR-T has the disadvantage of restricting patient access to specific HLA-matched groups yet provides an opportunity for the CAR-T field to target intracellular antigens, which has not been previously possible. This is critical in solid cancers where there is a paucity of cell surface targets, to broaden the therapeutic scope of CAR-T.
AFP-CAR-T in vitro is demonstrated to be cytotoxic towards HEPG2 and SK-HEP-1-MG HCC cell lines. To address concerns that circulating AFP can be cross-presented on MHC Class I by non-HCC cells, AFP-CAR-T was tested against a range of A02+/AFP− cell lines, cultured in recombinant human AFP (0.4 μg/mL), but no cytotoxicity was observed.
In preclinical models, intra-tumoral injection (and to a significantly lesser extent, IV injection) of AFP-CAR-T in NSG mice bearing HLA-A*02:01 HCC SK-HEP-1-MG and HEPG2 tumour cells expressing the AFP158–166 epitope, controlled tumour growth compared to controls [80].

3.1.7. Alpha Fetoprotein (AFP) Targeting CAR-T (Clinical)

A phase I clinical trial of AFP-CAR-T in AFP+ HCC via IV and intra-hepatic artery dosing was terminated, with no outcomes reported to date (NCT03349255).

3.1.8. c-MET Biology and Background

c-MET is a proto-oncogene encoding a cell surface tyrosine kinase receptor with high affinity for hepatocyte growth factor (HGF), acting to promote cell growth, invasion and resistance to apoptosis [81]. Aberrant c-Met activity occurs in 50% of HCC cases, and is associated with rapid tumour growth, invasive disease, and poor prognosis [82]. The c-MET inhibitor Tivantinib has been tested in advanced HCC, but without impact on OS or EFS [83].

3.1.9. c-MET Targeting CAR-T (Preclinical)

Bispecific CAR-T targeting c-MET + PD-L1 demonstrates selective cytotoxicity against HCC cell lines in vitro and in vivo more effectively than monovalent c-MET-CAR-T. In vivo, HEPG2 xenograft models received bispecific or c-MET-CAR-T, and tumour burden was reduced (but not eliminated) in all mice by the end of the experiment (day 13) compared to control CAR [84]. To date, this approach has not reached clinical translation.

3.1.10. Mucin 1 Glycoprotein 1 (MUC1) Biology and Background

MUC1 is a membrane-bound glycosylated phosphoprotein, expression of which is induced by inflammatory cytokines (Figure 1). MUC1 is overexpressed and/or qualitatively altered in HCC [85,86,87] and has been validated as a potential HCC target by immunohistochemical analysis, with strong positivity demonstrated in 70.8% of cases (with no expression in normal liver tissue) [88]. MUC1 strongly correlates with HCC prognosis and metastasis: 67.7% of MUC1+ patients develop metastasis at 3 years compared with 31% of patients without MUC1 expression [88].

3.1.11. MUC1 Targeting CAR-T (Preclinical)

Proof-of-concept for MUC1 as an effective CAR-T target is evident in breast cancer, where TAB004 (mAb targeting glycosylated MUC1), engineered into CAR-T format, has shown target-specific cytotoxicity, cytokine secretion and reduced tumour burden in a xenograft model [89]. In vitro studies show MUC1-specific cytotoxicity against HCC cell lines [90].

3.1.12. MUC1 Targeting CAR-T (Clinical)

A clinical trial of MUC1-CAR-T is underway in multiple solid tumours including HCC (NCT02587689), but outcomes have not yet been reported. A fourth generation MUC1-IL-22-secreting CAR-T product for head and neck squamous cell carcinoma has been developed for clinical trials [91].

3.1.13. NK Group 2 Member D Ligand (NKG2DL) Biology and Background

NKG2DL is a type II transmembrane protein expressed on NK and T-cells with a role in NK cell activation, and provision of co-stimulation to CD8+ and CD4+ T-cells. NKG2DL is overexpressed in HCC (but not normal liver), highlighting its potential as an immunotherapeutic target [92]. Targeting specific ligands for NKG2D such as MICA, which is not expressed in most normal tissues and is localised in the cytoplasm of epithelial cells, offers of a potentially safe target for NKG2DL-based CAR-T [93]. Concerns regarding off-tumour NK (and T-cell) depletion will require full evaluation [92].

3.1.14. NKG2DL Targeting CAR-T (Preclinical)

In vitro testing of 3rd generation NKG2DL-CAR-T demonstrated specific cytotoxicity towards SMMC-7721 and MHCC97H cell lines but not Hep3B cells (NKG2DL-negative). Cytotoxicity was NKG2DL dependent: NKG2DL low MICA and ULBP2 cells were not susceptible, but NKG2DL high HEP3B were susceptible. In vivo, NKG2DL-CAR-T were effective in NOD-Prkdcscid//Il2rgtm1/Bcgen mice (B-NDG) with SMMC-7721 subcutaneous tumours: 50% (3/6) of treated mice achieved CR and 50% (3/6) achieved PR at 19 days post-infusion.

3.1.15. NKG2DL Targeting CAR-T (Clinical)

A phase I clinical trial of NKR-2 (NCT02203825) in 7 patients with acute myeloid leukaemia and 5 patients with multiple myeloma reported no obvious toxicities or other adverse events. Full clinical data are pending from subsequent dose escalation [94]. To date there are no data in HCC.

3.1.16. Other Potential CAR-T Targets for HCC

A variety of other potential HCC targets are currently under evaluation [95,96,97,98]. CD147 is a transmembrane glycoprotein that is highly expressed in HCC [99] with a role in proliferation, invasion and metastasis and as a potential biomarker [100]. As a safety system, Zhang et al. developed a ‘tet-on’ inducible system for anti-CD147-CAR-T, with a requirement for the administration of doxycycline for CAR activity. Omission of doxycycline reduced CD147-HepG2 target cell lysis in vitro cytotoxicity assays from 50% to 10%. In vivo, using the subcutaneous Huh-7 NSG mouse model, CD147CAR + doxycycline led to a significant reduction in tumour volume when compared to CD147CAR alone [101]. A phase I clinical trial is currently underway (NCT03993743).
The MAGE (melanoma antigen gene family)-1 family comprises 12 members that are expressed almost exclusively in cancer tissues. MAGE-1 and -3 mRNA expression is observed in 68% of HCC tumours [102]. Functionally, aberrant MAGE expression can lead to altered signalling and tumuorigenesis [103]. To date, there is limited evidence for MAGE-CAR-T in HCC.
NY-ESO-1 (New York esophageal squamous cell carcinoma), is a cancer testes antigen expressed in spermatocytes, oogonia, the placenta and cancers including 43.9% of cases of HCC [104,105]: At present, only engineered TCR-T approaches targeting NY-ESO-1 have been trialled in HCC (NCT01967823).

3.2. T-Cell Receptor Transduced T Cells (TCR-T)

3.2.1. TCR-T Biology, Background, Targets

Synthetic, engineered TCRs (Figure 2c) are designed to specifically recognise intracellular TAA/TSA following processing and presentation of short antigenic peptide fragments on HLA class I and II molecules [106]. A key advantage of TCR-T is the ability to target and bind intracellular antigens expressed on HLA, even at low target density [107]. Disadvantages include the requirement for HLA matching, limiting this therapy to a minority of mostly HLA-A*0201 patients [108], and the engineering complexity of generating high affinity, high avidity synthetic αβ TCR for TAA-specific targeting, avoiding the common hurdles of TCR chain mispairing and low TCR expression [109]. At low antigen density, there is also a risk that expression overlaps between normal and cancer tissue. Tuning TCR affinity using physiochemical and in silico methods could help advance TCR-T binder development to enable differentiation between non-malignant and cancer cells [77]. In this section we focus on AFP and viral associated peptides as TCR-T HCC tumour targets. At time of review, 7 phase I/II TCR-T clinical trials for HCC are recruiting (Table 2) [110]. There are several additional studies on clinicaltrials.gov with ‘status unknown’ or ‘not yet recruiting’ which focus on patients with HCC recurrence post liver transplantation (NCT02686372, NCT04677088, NCT02719782).

3.2.2. AFP TCR-T Biology and Background

AFP is processed and presented on HLA and represents a good target for TCR-T approaches, with clinical trials underway using the well described AFP158–166 epitope (NCT03132792) [111]. Butterfield et al. describe 3 novel epitopes (AFP542–550; AFP137–145, and AFP325–354) expressed on HLA class I for which in vitro validation demonstrates cytotoxicity and IFNγ secretion towards HLA-A*0201+/AFP+ tumour cells. Epitope immunogenicity was tested in a transgenic mouse model [112]. Together, this evidence confirms that there are four naturally occurring, immunogenic AFP epitopes that represent potential targets for TCR-T.

3.2.3. AFP TCR-T (Clinical)

In 2019, initial results were presented for a first-in-human study of affinity-enhanced autologous SPEAR T-cells targeting AFP (NCT 03132792) [113]. Patients with HLA-A*02:01 or HLA-A*02:642 haplotypes with positive immunohistochemical staining for AFP (≥1+ in ≥20% of HCC cells) or positive serum AFP (≥400 ng/mL) were eligible. In cohort 1, with the aim of determining MTD, SPEAR T-cell doses ranging from 100–1000 million total cells were administered following Flu/Cy. 5/5 infused patients achieved SD as their best response. MTD for Cohort 3 was defined as 5 ×109 SPEAR T-cells (range, 5.0–5.6 × 109). In Cohort 3, 2 of 3 patients developed PD, and 1 of 3 patients achieved PR, ongoing at week 8 and treatment was well-tolerated. Full results have not yet been published, as long-term follow up is ongoing [111].

3.2.4. Viral Associated Peptides as TCR-T Targets

HBV accounts for 80% of HCC cases in Asia, through chronic inflammation and viral integration into the hepatocyte genome [114]. Targeting viral, non-self-antigens is attractive for TCR-T therapy as the risk of on-target, off-tumour toxicity is reduced, and even low-level target expression lends itself to TCR-T targeting. HBV infection generally induces high affinity TCRs which potentially represent a potent therapeutic, with the ability to lyse HBV-infected cells. However, the major drawback is that in HBV-associated HCC, viral antigens are likely to be expressed on non-malignant liver tissue, leading to a risk of severe liver damage [115].
Gehring et al. described a liver transplant patient with extrahepatic HCC in which HBV-DNA integration produced only surface HBV (HBsAg), while HBV-DNA was absent in the blood and the transplanted liver [115,116]. The HCC cells presented HLA-A0201/HBV peptide complexes, with homogeneous expression across the tumour. A specific TCR targeting the HLA-A-*0201/HBs183-91 complex was identified and cloned to generate autologous, patient HBV-TCR-T cells. The patient received a single dose of 1.2 × 104 HBV-TCR-T/kg without lymphodepletion. These cells proliferated and reduced HBsAg levels in the blood without damage to normal tissue [115]. One key question arising from this case is whether HBV-TCR-T could be used more widely for HCC patients with relapse post-liver-transplant, as relapse rates are high (50% within 5 years) [117] and serum HBsAg is associated with recurrence [118]. TCR-T could potentially be used as prophylaxis to prevent relapse in HBsAg+ patients, post-transplant.

4. What Is the Future of T cell therapy for HCC?

To date, the HCC cellular immunotherapy field, summarized in Table 3, is in its infancy and significant challenges need to be addressed in order to bring these therapies to the forefront of HCC management (Figure 3).

4.1. CAR-T: Enhancing Tumour Recognition, Overcoming Escape and Reducing Toxicity

Major hurdles for targeted T cell therapies for HCC include the paucity of true TSAs, the heterogeneous expression of TAAs across tumours, and the promiscuity of expression of many solid tumour targets on normal tissues, conferring a risk of on-target, off-tumour toxicity. In the CAR-T space, targeting multiple HCC antigens may enhance specificity and potentially be exploited to improve safety. This may be achieved by infusing two different CAR products targeting different TAAs; by the expression of two different CAR scFv within one vector (Tandem CAR-T or bispecific CAR-T), or by the use of logic-gated CAR-T [119]. Preclinical evaluation of logic-gated GPC3-synNotch-inducible CD147-CAR-T cells to target HCC demonstrated selective cytotoxicity towards dual antigen positive targets without on-target/off-tumour toxicity in a human CD147 transgenic mouse model [120].
Another approach to address the on-target, off-tumour risk of CAR-T in solid cancers is the use of affinity-tuned CAR-T, where the affinity of the CAR scFv can be aligned with antigenic expression on the tumour (but not normal tissue). This has been tested in an ErbB2 [121] model, where low affinity CAR-T was designed to recognise only high-expressor malignant cells, but was insensitive to cells with normal physiologic antigen expression.
To further enhance safety, suicide genes, and tunable constructs (where CAR-T signaling can be modulated using drugs), can be incorporated into CAR designs to allow CAR-T deletion/impedance in the event of toxicity [122].

4.2. CAR-T: Enhancing Trafficking and Persistence

The development of bolt-on modules and strategies to enhance CAR-T trafficking and access to the HCC tumour site is an area of active investigation. HCC creates a physical barrier to T-cell trafficking, with a well-established fibrotic extracellular matrix (ECM) evolved during prior chronic inflammation [2]. Cultured T-cells lack heparinase, which is critical for degradation of ECM [123] and several groups are currently investigating whether CAR-T cells designed to degrade the ECM may have a trafficking advantage in HCC. CAFs (cancer associated fibroblasts) express fibroblast activation protein which is upregulated on HCC in the hypoxic TME [124]. FAP-directed CAR-T may have a role in HCC, targeting the fibrotic HCC TME [125]. Other approaches to enhance tumour trafficking include intrahepatic CAR-T infusion. This also has the potential to reduce the cell dose required for clinical effect, and to reduce potential side effects by limiting systemic exposure [126].
Chemokines play a key role in leukocyte migration/homing and cancer migration/progression [127,128]. By engineering expression of chemokine receptors into CAR-T products, it may be possible to exploit tumour-associated chemokine gradients to enhance CAR-T tumour trafficking. CXCL2 is highly expressed in HCC [129], and engineered overexpression of the CXCR2L receptor (CXCR2) on GPC3-CAR-T cells was shown to enhance CAR-T infiltration and expansion at the tumour site in a xenogeneic HCC model [129].
In preclinical models, CAR-T cells that co-express proinflammatory cytokines have been associated with superior proliferation, persistence and better tumour control [130]. GPC3-CAR co-expressing IL-21 and IL-15 have demonstrated superior in vitro and in vivo expansion, persistence and anti-tumour activity [131]. A clinical trial of GPC3 CAR-T cells incorporating IL-15 and IL-21 modules for HCC is recruiting (NCT04093648).

4.3. CAR-T: Overcoming the Immunosuppressive Tumour Microenvironment

Modules to enhance resistance to solid tumour immune-inhibitory signals, and to recruit components of the endogenous immune system to accelerate tumour rejection are all under investigation to enhance feasibility of CAR-T for solid tumours. Previous studies have revealed that CAR-T-derived cytokines activate host macrophages and transform the TME from immunosuppressive to immunostimulatory [132,133]. In ovarian cancer, CAR-T cells that secrete IFN-γ and GM-CSF can activate tumour-associated macrophages, decrease the expression of regulatory factors, and increase IL-12 production, promoting endogenous immunity and inhibiting tumour growth. ICIs may have a role alongside ACT as a potential combinatorial approach [134]. Engineering ACT with inbuilt checkpoint blockade could provide an ‘all in one’ strategy, e.g., PD-1-deficient GPC3-CAR-T [135].

4.4. TCR-T: Enhancing Tumour Recognition and Reducing Off-Tumour Toxicity

Arguably the main challenges for TCR-T therapeutics are the identification of appropriate target antigens, the ability to refine and optimise TCR-T binding affinity, and the avoidance of on-target, off-tumour toxicity.
Identification of neo-antigen specific TCRs is a key hurdle to developing novel TCR-T therapies. High-throughput sequencing of the immune repertoire in oncology (HTS-IR) technology at bulk and single cell levels (including computational methods like TraCeR and single cell TCRseq for reconstructing TCRs and identifying immunogenic neoantigens) have proved to be useful tools for the analysis of diversity, dynamics and clonality of T cells [136]. With cost savings from advances in sequencing and bioinformatics technology [137], these platforms may find more widespread use in target identification and validation, at a speed that outperforms conventional laboratory-based methods.
Medigene has developed a humanized mouse model/platform for identification and validation of affinity-enhanced TCRs [138]. Affinity-enhanced TCRs may confer better anti-tumour response to TSA/TAAs, but require careful evaluation for cross-reactivity with self-derived peptides to determine whether there is an optimal affinity window for enhanced function without non-specific activation [139].
Strategies to reduce the risk of off-target TCR-T toxicity include intra-tumoural TCR-T administration, to minimise systemic exposure [140]. Engineered solutions include tumour-specific TCR-T expressed in tandem with immune-inhibitory CAR-T, the latter designed with an scFv targeting an antigen on normal tissue, fused to an inhibitory cytoplasmic domain, such as PD-1 [141]. This may enable TCR-T cells to distinguish between tumour cells and normal cells using the same antigen. Suicide switches such as inducible caspase 9 (iCas9) can be incorporated into the TCR-T cassette to permit apoptosis induction using a small molecule in the event of toxicity [142].

5. Conclusions

ACT for solid tumours is in its infancy and is challenging for a variety of reasons, outlined in this review. HCC remains a strong candidate for cellular immunotherapy, due to its underlying immune and inflammatory pathogenesis, and progress to date in the field has been very encouraging. Drawing from learnings in the blood cancer space and with a deeper understanding of HCC pathophysiology, current investigational T cell therapies may be improved by modifications to enhance HCC targeting, trafficking and immune resistance, towards improved safety and clinical outcomes. To this end, further preclinical refinements and patient access to early phase clinical trials is key.
Currently, cell therapies for HCC are at early stage of development and none have yet been approved. Their position in the therapeutic algorithm will be determined by the magnitude of benefit demonstrated in large clinical trials. In the future, it is possible that novel predictive biomarkers will inform treatment selection and sequencing of drugs for HCC. Presently, the only biomarkers for eligibility in CAR-T and TCR-T trials are target antigen expression and (for TCR-T only) HLA expression analysis. It is too early to predict whether biomarkers for response and toxicity will be identified using ACT for HCC, but current clinical trials will be informative in this regard.
To date, approved drugs for advanced HCC have been evaluated in Child Pugh A liver disease in patients with preserved liver function. We strongly recommend that clinical trials of cellular therapies in HCC apply the same criteria, such that potential hepatotoxicity associated with these novel therapies can be appropriately defined and managed.
Ultimately, rational combinations and/or sequencing of T-cell therapies with small molecules and CPI may be required for optimal clinical outcomes in advanced HCC and should be explored in well-designed clinical studies.

Author Contributions

Conceptualization, H.R., T.M. and C.R.; writing—original draft preparation, review and editing, H.R., T.M. and C.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

T.M. and C.R. are supported by the NIHR UCLH Biomedical Research Centre. C.R. is supported by the UCL NIHR Blood and Transplant Research Unit (BTRU) in Stem Cells and Immunotherapy at UCL in partnership with the NHS Blood and Transplant Research Unit, and by core funding through the CRUK London Center. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Di Bisceglie, A.M.; Rustgi, V.K.; Hoofnagle, J.H.; Dusheiko, G.M.; Lotze, M.T. Hepatocellular Carcinoma. N. Engl. J. Med. 2019, 380, 1450–1462. [Google Scholar]
  2. Ringelhan, M.; Pfister, D.; O’Connor, T.; Pikarsky, E.; Heikenwalder, M. The immunology of hepatocellular carcinoma. Nat. Immunol. 2018, 19, 222–232. [Google Scholar] [CrossRef] [PubMed]
  3. Robinson, M.; Harmon, C.; O’Farrelly, C. Liver immunology and its role in inflammation and homeostasis. Cell. Mol. Immunol. 2016, 13, 267–276. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Budhu, A.; Forgues, M.; Ye, Q.-H.; Jia, H.-L.; He, P.; Zanetti, K.A.; Kammula, U.S.; Chen, Y.; Qin, L.-X.; Tang, Z.-Y.; et al. Prediction of venous metastases, recurrence, and prognosis in hepatocellular carcinoma based on a unique immune response signature of the liver microenvironment. Cancer Cell 2006, 10, 99–111. [Google Scholar] [CrossRef] [Green Version]
  5. Unitt, E.; Marshall, A.; Gelson, W.; Rushbrook, S.M.; Davies, S.; Vowler, S.L.; Morris, L.S.; Coleman, N.; Alexander, G.J. Tumour lymphocytic infiltrate and recurrence of hepatocellular carcinoma following liver transplantation. J. Hepatol. 2006, 45, 246–253. [Google Scholar] [CrossRef]
  6. Stroehl, Y.W.; Letzen, B.S.; Van Breugel, J.M.M.; Geschwind, J.-F.; Chapiro, J. Intra-arterial therapies for liver cancer: Assessing tumor response. Expert Rev. Anticancer Ther. 2017, 17, 119–127. [Google Scholar] [CrossRef]
  7. Llovet, J.M.; Ricci, S.; Mazzaferro, V.; Hilgard, P.; Gane, E.; Blanc, J.F.; Bruix, J. Sorafenib in Advanced Hepatocellular Carcinoma. N. Engl. J. Med. 2008, 13, 378–390. [Google Scholar] [CrossRef]
  8. Kudo, M.; Finn, R.S.; Qin, S.; Han, K.-H.; Ikeda, K.; Piscaglia, F.; Baron, A.; Park, J.-W.; Han, G.; Jassem, J.; et al. Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: A randomised phase 3 non-inferiority trial. Lancet 2018, 391, 1163–1173. [Google Scholar] [CrossRef] [Green Version]
  9. Bruix, J.; Qin, S.; Merle, P.; Granito, A.; Huang, Y.-H.; Bodoky, G.; Pracht, M.; Yokosuka, O.; Rosmorduc, O.; Breder, V.; et al. Regorafenib for patients with hepatocellular carcinoma who progressed on sorafenib treatment (RESORCE): A randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 2017, 389, 56–66. [Google Scholar] [CrossRef] [Green Version]
  10. Abou-Alfa, G.K.; Meyer, T.; Cheng, A.-L.; El-Khoueiry, A.B.; Rimassa, L.; Ryoo, B.-Y.; Cicin, I.; Merle, P.; Chen, Y.; Park, J.-W.; et al. Cabozantinib in Patients with Advanced and Progressing Hepatocellular Carcinoma. N. Engl. J. Med. 2018, 379, 54–63. [Google Scholar] [CrossRef]
  11. Zhu, A.X.; Kang, Y.-K.; Yen, C.-J.; Finn, R.S.; Galle, P.R.; Llovet, J.M.; Assenat, E.; Brandi, G.; Pracht, M.; Lim, H.Y.; et al. Ramucirumab after sorafenib in patients with advanced hepatocellular carcinoma and increased α-fetoprotein concentrations (REACH-2): A randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol. 2019, 20, 282–296. [Google Scholar] [CrossRef]
  12. Topalian, S.L.; Drake, C.G.; Pardoll, D.M. Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy. Cancer Cell 2015, 27, 450–461. [Google Scholar] [CrossRef] [Green Version]
  13. El-Khoueiry, A.B.; Sangro, B.; Yau, T.; Crocenzi, T.S.; Kudo, M.; Hsu, C.; Kim, T.-Y.; Choo, S.-P.; Trojan, J.; Welling, T.H., 3rd; et al. Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): An open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet 2017, 389, 2492–2502. [Google Scholar] [CrossRef]
  14. Finn, R.S.; Qin, S.; Ikeda, M.; Galle, P.R.; Ducreux, M.; Kim, T.-Y.; Kudo, M.; Breder, V.; Merle, P.; Kaseb, A.O.; et al. Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma. N. Engl. J. Med. 2020, 382, 1894–1905. [Google Scholar] [CrossRef] [PubMed]
  15. Vogel, A.; Martinelli, E.; Cervantes, A.; Chau, I.; Daniele, B.; Llovet, J.; Meyer, T.; Nault, J.-C.; Neumann, U.; Ricke, J.; et al. Updated treatment recommendations for hepatocellular carcinoma (HCC) from the ESMO Clinical Practice Guidelines. Ann. Oncol. 2021, 32, 801–805. [Google Scholar] [CrossRef]
  16. Kelley, R.K.; Sangro, B.; Harris, W.; Ikeda, M.; Okusaka, T.; Kang, Y.-K.; Qin, S.; Tai, D.W.-M.; Lim, H.Y.; Yau, T.; et al. Safety, Efficacy, and Pharmacodynamics of Tremelimumab Plus Durvalumab for Patients With Unresectable Hepatocellular Carcinoma: Randomized Expansion of a Phase I/II Study. J. Clin. Oncol. 2021, 39, 2991–3001. [Google Scholar] [CrossRef] [PubMed]
  17. Kelley, R.K.; Sangro, B.; Harris, W.P.; Ikeda, M.; Okusaka, T.; Kang, Y.-K.; Qin, S.; Tai, W.M.D.; Lim, H.Y.; Yau, T.; et al. Efficacy, tolerability, and biologic activity of a novel regimen of tremelimumab (T) in combination with durvalumab (D) for patients (pts) with advanced hepatocellular carcinoma (aHCC). J. Clin. Oncol. 2020, 38, 4508. [Google Scholar] [CrossRef]
  18. Yau, T.; Kang, Y.K.; Kim, T.Y.; El-Khoueiry, A.B.; Santoro, A.; Sangro, B.; Hsu, C. Efficacy and Safety of Nivolumab Plus Ipilimumab in Patients with Advanced Hepatocellular Carcinoma Previously Treated With Sorafenib: The CheckMate 040 Randomized Clinical Trial. JAMA Oncol. 2020, 6, e204564. [Google Scholar] [CrossRef] [PubMed]
  19. Li, H.; Wu, K.; Tao, K.; Chen, L.; Zheng, Q.; Lu, X.; Zou, W. Tim-3/galectin-9 signaling pathway mediates T-cell dysfunction and predicts poor prognosis in patients with hepatitis B virus-associated hepatocellular carcinoma. Hepatology 2012, 56, 1342–1351. [Google Scholar] [CrossRef]
  20. Du, W.; Yang, M.; Turner, A.; Xu, C.; Ferris, R.L.; Huang, J.; Kane, L.P.; Lu, B. TIM-3 as a Target for Cancer Immunotherapy and Mechanisms of Action. Int. J. Mol. Sci. 2017, 18, 645. [Google Scholar] [CrossRef]
  21. Zhou, G.; Sprengers, D.; Boor, P.P.; Doukas, M.; Schutz, H.; Mancham, S.; Pedroza-Gonzalez, A.; Polak, W.G.; de Jonge, J.; Gaspersz, M.; et al. Antibodies Against Immune Checkpoint Molecules Restore Functions of Tumor-Infiltrating T Cells in Hepatocellular Carcinomas. Gastroenterology 2017, 153, 1107–1119. [Google Scholar] [CrossRef]
  22. Sangro, B.; Chan, S.L.; Meyer, T.; Reig, M.; El-Khoueiry, A.; Galle, P.R. Diagnosis and management of toxicities of immune checkpoint inhibitors in hepatocellular carcinoma. J. Hepatol. 2020, 72, 320–341. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Lu, P.H.; Negrin, R.S. A novel population of expanded human CD3+CD56+ cells derived from T cells with potent in vivo antitumor activity in mice with severe combined immunodeficiency. J. Immunol. 1994, 153, 1687–1696. [Google Scholar] [PubMed]
  24. Alvarnas, J.C.; Linn, Y.-C.; Hope, E.G.; Negrin, R.S. Expansion of cytotoxic CD3+ CD56+ cells from peripheral blood progenitor cells of patients undergoing autologous hematopoietic cell transplantation. Biol. Blood Marrow Transplant. 2001, 7, 216–222. [Google Scholar] [CrossRef] [Green Version]
  25. Nishimura, R.; Baker, J.; Beilhack, A.; Zeiser, R.; Olson, J.A.; Sega, E.I.; Karimi, M.; Negrin, R.S. In vivo trafficking and survival of cytokine-induced killer cells resulting in minimal GVHD with retention of antitumor activity. Blood 2008, 112, 2563–2574. [Google Scholar] [CrossRef] [Green Version]
  26. Schmidt-Wolf, I.G.H.; Finke, S.; Trojaneck, B.; Denkena, A.; Lefterova, P.; Schwella, N.; Heuft, H.-G.; Prange, G.; Korte, M.; Takeya, M.; et al. Phase I clinical study applying autologous immunological effector cells transfected with the interleukin-2 gene in patients with metastatic renal cancer, colorectal cancer and lymphoma. Br. J. Cancer 1999, 81, 1009–1016. [Google Scholar] [CrossRef] [PubMed]
  27. Linn, Y.C.; Lau, L.C.; Hui, K. Generation of cytokine-induced killer cells from leukaemic samples with in vitro cytotoxicity against autologous and allogeneic leukaemic blasts. Br. J. Haematol. 2002, 116, 78–86. [Google Scholar] [CrossRef]
  28. Li, Y.-C.; Zhao, L.; Wu, J.-P.; Qu, C.-X.; Song, Q.-K.; Wang, R.-B. Cytokine-induced killer cell infusion combined with conventional treatments produced better prognosis for hepatocellular carcinoma patients with barcelona clinic liver cancer B or earlier stage: A systematic review and meta-analysis. Cytotherapy 2016, 18, 1525–1531. [Google Scholar] [CrossRef]
  29. Cao, J.; Kong, F.-H.; Liu, X.; Wang, X.-B. Immunotherapy with dendritic cells and cytokine-induced killer cells for hepatocellular carcinoma: A meta-analysis. World J. Gastroenterol. 2019, 25, 3649–3663. [Google Scholar] [CrossRef]
  30. Shi, M.; Zhang, B.; Tang, Z.-R.; Lei, Z.-Y.; Wang, H.-F.; Feng, Y.-Y.; Fan, Z.-P.; Xu, D.-P.; Wang, F.-S. Autologous cytokine-induced killer cell therapy in clinical trial phase I is safe in patients with primary hepatocellular carcinoma. World J. Gastroenterol. 2004, 10, 1146–1151. [Google Scholar] [CrossRef]
  31. Olioso, P.; Giancola, R.; Di Riti, M.; Contento, A.; Accorsi, P.; Iacone, A. Immunotherapy with cytokine induced killer cells in solid and hematopoietic tumours: A pilot clinical trial. Hematol. Oncol. 2009, 27, 130–139. [Google Scholar] [CrossRef] [PubMed]
  32. Hao, M.-Z.; Lin, H.-L.; Chen, Q.; Ye, Y.-B.; Chen, Q.-Z.; Chen, M.-S. Efficacy of transcatheter arterial chemoembolization combined with cytokine-induced killer cell therapy on hepatocellular carcinoma: A comparative study. Chin. J. Cancer 2010, 29, 172–177. [Google Scholar] [CrossRef] [Green Version]
  33. Zhao, M.; Wu, P.-H.; Zeng, Y.-X.; Xia, J.-C.; Zhang, F.-J.; Xian, L.-J.; Zhang, Y.-P.; Zhou, K.; Fan, W.-J.; Zhang, L.; et al. Cytokine-induced killer cell fusion to lower recurrence of hepatocellular carcinoma after transcatheter arterial chemoembolization sequentially combined with radiofrequency ablation: A randomized trial. Zhonghua Yi Xue Za Zhi 2006, 86, 1823–1828. [Google Scholar]
  34. Chen, F.; Yang, M.; Song, Q.; Wu, J.; Wang, X.; Zhou, X.; Yuan, Y.; Song, Y.; Jiang, N.; Zhao, Y.; et al. Enhanced antitumor effects and improved immune status of dendritic cell and cytokine-induced killer cell infusion in advanced cancer patients. Mol. Clin. Oncol. 2017, 7, 903–910. [Google Scholar] [CrossRef] [Green Version]
  35. Mosińska, P.; Gabryelska, A.; Zasada, M.; Fichna, J. Dual Functional Capability of Dendritic Cells—Cytokine-Induced Killer Cells in Improving Side Effects of Colorectal Cancer Therapy. Front. Pharmacol. 2017, 8, 126. [Google Scholar] [CrossRef] [Green Version]
  36. Zhang, D.; He, J.-T. [In vitro cytotox icity effects of cocultured DC-C IK cells combined with sorafenib against hepa to cellular carcinoma]. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi = Chin. J. Cell. Mol. Immunol. 2011, 27, 664–667. [Google Scholar]
  37. Yu, X.; Xia, W.; Zhang, T.; Wang, H.; Xie, Y.; Yang, J.; Miao, J. Enhanced cytotoxicity of IL-24 gene-modified dendritic cells co-cultured with cytokine-induced killer cells to hepatocellular carcinoma cells. Int. J. Hematol. 2010, 92, 276–282. [Google Scholar] [CrossRef]
  38. Besser, M.J.; Shapira-Frommer, R.; Itzhaki, O.; Treves, A.J.; Zippel, D.B.; Levy, D.; Kubi, A.; Shoshani, N.; Zikich, D.; Ohayon, Y.; et al. Adoptive Transfer of Tumor-Infiltrating Lymphocytes in Patients with Metastatic Melanoma: Intent-to-Treat Analysis and Efficacy after Failure to Prior Immunotherapies. Clin. Cancer Res. 2013, 19, 4792–4800. [Google Scholar] [CrossRef] [Green Version]
  39. Wu, R.; Forget, M.A.; Chacon, J.; Bernatchez, C.; Haymaker, C.; Chen, J.Q.; Radvanyi, L. Adoptive T-Cell Therapy Using Autologous Tumor-Infiltrating Lymphocytes for Metastatic Melanoma: Current Status and Future Outlook. Cancer J. 2012, 18, 160–175. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Rosenberg, S.A.; Yang, J.C.; Sherry, R.M.; Kammula, U.S.; Hughes, M.S.; Phan, G.Q.; Citrin, D.E.; Restifo, N.P.; Robbins, P.F.; Wunderlich, J.R.; et al. Durable Complete Responses in Heavily Pretreated Patients with Metastatic Melanoma Using T-Cell Transfer Immunotherapy. Clin. Cancer Res. 2011, 17, 4550–4557. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. McGranahan, N.; Furness, A.J.S.; Rosenthal, R.; Ramskov, S.; Lyngaa, R.; Saini, S.K.; Jamal-Hanjani, M.; Wilson, G.A.; Birkbak, N.J.; Hiley, C.T.; et al. Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade. Science 2016, 351, 1463–1469. [Google Scholar] [CrossRef] [Green Version]
  42. Gao, F.; Xie, K.; Xiang, Q.; Qin, Y.; Chen, P.; Wan, H.; Deng, Y.; Huang, J.; Wu, H. The density of tumor-infiltrating lymphocytes and prognosis in resectable hepatocellular carcinoma: A two-phase study. Aging 2021, 13, 9665–9678. [Google Scholar] [CrossRef]
  43. Ge, Z.; Zhou, G.; Carrascosa, L.C.; Gausvik, E.; Boor, P.P.; Noordam, L.; Doukas, M.; Polak, W.G.; Terkivatan, T.; Pan, Q.; et al. TIGIT and PD1 Co-blockade Restores ex vivo Functions of Human Tumor-Infiltrating CD8+ T Cells in Hepatocellular Carcinoma. Cell. Mol. Gastroenterol. Hepatol. 2021, 12, 443–464. [Google Scholar] [CrossRef]
  44. Sadelain, M.; Brentjens, R.; Rivière, I. The promise and potential pitfalls of chimeric antigen receptors. Curr. Opin. Immunol. 2009, 21, 215–223. [Google Scholar] [CrossRef] [Green Version]
  45. Davenport, A.J.; Jenkins, M.R.; Cross, R.S.; Yong, C.S.; Prince, H.M.; Ritchie, D.S.; Trapani, J.; Kershaw, M.; Darcy, P.K.; Neeson, P.J. CAR-T Cells Inflict Sequential Killing of Multiple Tumor Target Cells. Cancer Immunol. Res. 2015, 3, 483–494. [Google Scholar] [CrossRef] [Green Version]
  46. Gong, M.C.; Latouche, J.-B.; Krause, A.; Heston, W.D.; Bander, N.H.; Sadelain, M. Cancer Patient T Cells Genetically Targeted to Prostate-Specific Membrane Antigen Specifically Lyse Prostate Cancer Cells and Release Cytokines in Response to Prostate-Specific Membrane Antigen. Neoplasia 1999, 1, 123–127. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Brocker, T.; Karjalainen, K. Signals through T cell receptor-zeta chain alone are insufficient to prime resting T lymphocytes. J. Exp. Med. 1995, 181, 1653–1659. [Google Scholar] [CrossRef] [PubMed]
  48. Imai, C.; Mihara, K.; Andreansky, M.; Nicholson, I.C.; Pui, C.-H.; Geiger, T.L.; Campana, D. Chimeric receptors with 4-1BB signaling capacity provoke potent cytotoxicity against acute lymphoblastic leukemia. Leukemia 2004, 18, 676–684. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Maher, J.; Brentjens, R.J.; Gunset, G.; Rivière, I.; Sadelain, M. Human T-lymphocyte cytotoxicity and proliferation directed by a single chimeric TCRzeta /CD28 receptor. Nat. Biotechnol. 2002, 20, 70–75. [Google Scholar] [CrossRef]
  50. Fesnak, A.; June, C.H.; Levine, A.D.F.C.H.J.B.L. Engineered T cells: The promise and challenges of cancer immunotherapy. Nat. Rev. Cancer 2016, 16, 566–581. [Google Scholar] [CrossRef]
  51. Maude, S.L.; Frey, N.; Shaw, P.A.; Aplenc, R.; Barrett, D.M.; Bunin, N.J.; Chew, A.; Gonzalez, V.E.; Zheng, Z.; Lacey, S.F.; et al. Chimeric antigen receptor T cells for sustained remissions in leukemia. N. Engl. J. Med. 2014, 371, 1507–1517. [Google Scholar] [CrossRef] [Green Version]
  52. Rosenberg, S.A.; Dudley, M.E. Adoptive cell therapy for the treatment of patients with metastatic melanoma. Curr. Opin. Immunol. 2009, 21, 233–240. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Ghorashian, S.; Pule, M.; Amrolia, P. CD19 chimeric antigen receptor T cell therapy for haematological malignancies. Br. J. Haematol. 2015, 169, 463–478. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Finney, H.M.; Lawson, A.D.; Bebbington, C.R.; Weir, A.N. Chimeric receptors providing both primary and costimulatory signaling in T cells from a single gene product. J. Immunol. 1998, 161, 2791–2797. [Google Scholar] [PubMed]
  55. Zhang, H.; Merchant, M.S.; Chua, K.S.; Khanna, C.; Helman, L.J.; Telford, B.; Ward, Y.; Summers, J.; Toretsky, J.A.; Thomas, E.K.; et al. Tumor Expression of 4-1BB Ligand Sustains Tumor Lytic T Cells. Cancer Biol. Ther. 2003, 2, 579–586. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Roddie, C.; Dias, J.; O’Reilly, M.A.; Abbasian, M.; Cadinanos-Garai, A.; Vispute, K.; Bosshard-Carter, L.; Mitsikakou, M.; Mehra, V.; Roddy, H.; et al. Durable Responses and Low Toxicity After Fast Off-Rate CD19 Chimeric Antigen Receptor-T Therapy in Adults With Relapsed or Refractory B-Cell Acute Lymphoblastic Leukemia. J. Clin. Oncol. 2021, 39, 3352–3363. [Google Scholar] [CrossRef] [PubMed]
  57. Nakatsura, T.; Yoshitake, Y.; Senju, S.; Monji, M.; Komori, H.; Motomura, Y.; Hosaka, S.; Beppu, T.; Ishiko, T.; Kamohara, H.; et al. Glypican-3, overexpressed specifically in human hepatocellular carcinoma, is a novel tumor marker. Biochem. Biophys. Res. Commun. 2003, 306, 16–25. [Google Scholar] [CrossRef]
  58. Zhou, F.; Shang, W.; Yu, X.; Tian, J. Glypican-3: A promising biomarker for hepatocellular carcinoma diagnosis and treatment. Med. Res. Rev. 2018, 38, 741–767. [Google Scholar] [CrossRef]
  59. Capurro, M.; Wanless, I.R.; Sherman, M.; Deboer, G.; Shi, W.; Miyoshi, E.; Filmus, J. Glypican-3: A novel serum and histochemical marker for hepatocellular carcinoma. Gastroenterology 2003, 125, 89–97. [Google Scholar] [CrossRef]
  60. Capurro, M.; Martin, T.; Shi, W.; Filmus, J. Glypican-3 binds to frizzled and plays a direct role in the stimulation of canonical Wnt signaling. J. Cell Sci. 2014, 127, 1565–1575. [Google Scholar] [CrossRef] [Green Version]
  61. Stadlmann, S.; Gueth, U.; Baumhoer, D.; Moch, H.; Terracciano, L.; Singer, G. Glypican-3 Expression in Primary and Recurrent Ovarian Carcinomas. Int. J. Gynecol. Pathol. 2007, 26, 341–344. [Google Scholar] [CrossRef]
  62. Aviel-Ronen, S.; Lau, S.K.; Pintilie, M.; Lau, D.; Liu, N.; Tsao, M.; Jothy, S. Glypican-3 is overexpressed in lung squamous cell carcinoma, but not in adenocarcinoma. Mod. Pathol. 2008, 21, 817–825. [Google Scholar] [CrossRef] [Green Version]
  63. Li, W.; Guo, L.; Rathi, P.; Marinova, E.; Gao, X.; Wu, M.-F.; Liu, H.; Dotti, G.; Gottschalk, S.; Metelitsa, L.S.; et al. Redirecting T Cells to Glypican-3 with 4-1BB Zeta Chimeric Antigen Receptors Results in Th1 Polarization and Potent Antitumor Activity. Hum. Gene Ther. 2017, 28, 437–448. [Google Scholar] [CrossRef] [Green Version]
  64. Phung, Y.; Gao, W.; Man, Y.-G.; Nagata, S.; Ho, M. High-affinity monoclonal antibodies to cell surface tumor antigen glypican-3 generated through a combination of peptide immunization and flow cytometry screening. mAbs 2012, 4, 592–599. [Google Scholar] [CrossRef] [Green Version]
  65. Yamauchi, N.; Watanabe, A.; Hishinuma, M.; Ohashi, K.-I.; Midorikawa, Y.; Morishita, Y.; Niki, T.; Shibahara, J.; Mori, M.; Makuuchi, M.; et al. The glypican 3 oncofetal protein is a promising diagnostic marker for hepatocellular carcinoma. Mod. Pathol. 2005, 18, 1591–1598. [Google Scholar] [CrossRef] [PubMed]
  66. Montalbano, M.; Rastellini, C.; McGuire, J.T.; Prajapati, J.; Shirafkan, A.; Vento, R.; Cicalese, L. Role of Glypican-3 in the growth, migration and invasion of primary hepatocytes isolated from patients with hepatocellular carcinoma. Cell. Oncol. 2017, 41, 169–184. [Google Scholar] [CrossRef]
  67. Gao, H.; Li, K.; Tu, H.; Pan, X.; Jiang, H.; Shi, B.; Kong, J.; Wang, H.; Yang, S.; Gu, J.; et al. Development of T Cells Redirected to Glypican-3 for the Treatment of Hepatocellular Carcinoma. Clin. Cancer Res. 2014, 20, 6418–6428. [Google Scholar] [CrossRef] [Green Version]
  68. Jiang, Z.; Jiang, X.; Chen, S.; Lai, Y.; Wei, X.; Li, B.; Lin, S.; Wang, S.; Wu, Q.; Liang, Q.; et al. Anti-GPC3-CAR T Cells Suppress the Growth of Tumor Cells in Patient-Derived Xenografts of Hepatocellular Carcinoma. Front. Immunol. 2017, 7, 690. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. John, L.B.; Devaud, C.P.; Duong, C.; Yong, C.S.; Beavis, P.A.; Haynes, N.M.; Chow, M.T.; Smyth, M.J.; Kershaw, M.H.; Darcy, P.K. Anti-PD-1 Antibody Therapy Potently Enhances the Eradication of Established Tumors by Gene-Modified T Cells. Clin. Cancer Res. 2013, 19, 5636–5646. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Moon, E.K.; Wang, L.-C.; Dolfi, D.V.; Wilson, C.B.; Ranganathan, R.; Sun, J.; Kapoor, V.; Scholler, J.; Puré, E.; Milone, M.C.; et al. Multifactorial T-cell Hypofunction That Is Reversible Can Limit the Efficacy of Chimeric Antigen Receptor–Transduced Human T cells in Solid Tumors. Clin. Cancer Res. 2014, 20, 4262–4273. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Shi, D.; Shi, Y.; Kaseb, A.O.; Qi, X.; Zhang, Y.; Chi, J.; Lu, Q.; Gao, H.; Jiang, H.; Wang, H.; et al. Chimeric Antigen Receptor-Glypican-3 T-Cell Therapy for Advanced Hepatocellular Carcinoma: Results of Phase I Trials. Clin. Cancer Res. 2020, 26, 3979–3989. [Google Scholar] [CrossRef]
  72. Fraietta, J.A.; Lacey, S.F.; Orlando, E.J.; Pruteanu-Malinici, I.; Gohil, M.; Lundh, S.; Melenhorst, J.J. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia. Nat. Med. 2018, 24, 563–571. [Google Scholar] [CrossRef]
  73. Sommermeyer, D.; Hudecek, M.; Kosasih, P.L.; Gogishvili, T.; Maloney, D.G.; Turtle, C.J.; Riddell, S.R. Chimeric antigen receptor-modified T cells derived from defined CD8+ and CD4+ subsets confer superior antitumor reactivity in vivo. Leukemia 2016, 30, 492–500. [Google Scholar] [CrossRef] [Green Version]
  74. Roddie, C.; O’Reilly, M.A.; Marzolini, M.A.V.; Wood, L.; Pinto, J.D.A.; Abbasian, M.; Vispute, K.; Bosshard, L.; Lowdell, M.W.; Wheeler, G.; et al. Automated Manufacture of Matched Donor-Derived Allogeneic CD19 CAR T-Cells for Relapsed/Refractory B-ALL Following Allogeneic Stem Cell Transplantation: Toxicity, Efficacy and the Important Role of Lymphodepletion. Blood 2019, 134, 776. [Google Scholar] [CrossRef]
  75. Steffin, D.H.M.; Batra, S.A.; Rathi, P.; Guo, L.; Li, W.; Courtney, A.N.; Metelitsa, L.S.; Heczey, A. A phase I clinical trial using armored GPC3 CAR T cells for children with relapsed/refractory liver tumors. J. Clin. Oncol. 2019, 37, TPS2647. [Google Scholar] [CrossRef]
  76. Sun, L.; Gao, F.; Gao, Z.; Ao, L.; Li, N.; Ma, S.; Jia, M.; Lu, P.; Sun, B.; Ho, M.; et al. Shed antigen-induced blocking effect on CAR-T cells targeting Glypican-3 in Hepatocellular Carcinoma. J. Immunother. Cancer 2021, 9, e001875. [Google Scholar] [CrossRef] [PubMed]
  77. Docta, R.Y.; Ferronha, T.; Sanderson, J.P.; Weissensteiner, T.; Pope, G.R.; Bennett, A.D.; Gerry, A.B. Tuning T-Cell Receptor Affinity to Optimize Clinical Risk-Benefit When Targeting Alpha-Fetoprotein-Positive Liver Cancer. Hepatol. Baltim. Md. 2019, 69, 2061–2075. [Google Scholar] [CrossRef] [Green Version]
  78. Sideras, K.; Bots, S.J.; Biermann, K.; Sprengers, D.; Polak, W.G.; Ijzermans, J.N.M.; de Man, R.A.; Pan, Q.; Sleijfer, S.; Bruno, M.J.; et al. Tumour antigen expression in hepatocellular carcinoma in a low-endemic western area. Br. J. Cancer 2015, 112, 1911–1920. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Zhang, L.; He, T.; Cui, H.; Wang, Y.; Huang, C.; Han, F. Effects of AFP gene silencing on apoptosis and proliferation of a hepatocellular carcinoma cell line. Discov. Med. 2012, 14, 115–124. [Google Scholar] [PubMed]
  80. Liu, H.; Xu, Y.; Xiang, J.; Long, L.; Green, S.; Yang, Z.; Zimdahl, B.; Lu, J.; Cheng, N.; Horan, L.; et al. Targeting Alpha-Fetoprotein (AFP)–MHC Complex with CAR T-Cell Therapy for Liver Cancer. Clin. Cancer Res. 2017, 23, 478–488. [Google Scholar] [CrossRef] [Green Version]
  81. Ishikawa, T.; Factor, V.M.; Marquardt, J.U.; Raggi, C.; Seo, D.; Kitade, M.; Thorgeirsson, S.S. Hepatocyte growth factor/c-met signaling is required for stem-cell-mediated liver regeneration in mice. Hepatology 2012, 55, 1215–1226. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Boccaccio, C.; Comoglio, P. Invasive growth: A MET-driven genetic programme for cancer and stem cells. Nat. Rev. Cancer 2006, 6, 637–645. [Google Scholar] [CrossRef] [PubMed]
  83. Rimassa, L.; Assenat, E.; Peck-Radosavljevic, M.; Pracht, M.; Zagonel, V.; Mathurin, P.; Caremoli, E.R.; Porta, C.; Daniele, B.; Bolondi, L.; et al. Tivantinib for second-line treatment of MET-high, advanced hepatocellular carcinoma (METIV-HCC): A final analysis of a phase 3, randomised, placebo-controlled study. Lancet Oncol. 2018, 19, 682–693. [Google Scholar] [CrossRef]
  84. Jiang, W.; Li, T.; Guo, J.; Wang, J.; Jia, L.; Shi, X.; Yang, T.; Jiao, R.; Wei, X.; Feng, Z.; et al. Bispecific c-Met/PD-L1 CAR-T Cells Have Enhanced Therapeutic Effects on Hepatocellular Carcinoma. Front. Oncol. 2021, 11, 546586. [Google Scholar] [CrossRef] [PubMed]
  85. Kotera, Y.; Fontenot, J.D.; Pecher, G.; Metzgar, R.S.; Finn, O.J. Humoral immunity against a tandem repeat epitope of human mucin MUC-1 in sera from breast, pancreatic, and colon cancer patients. Cancer Res. 1994, 54, 2856–2860. [Google Scholar] [PubMed]
  86. Kufe, D.W. Mucins in cancer: Function, prognosis and therapy. Nat. Cancer 2009, 9, 874–885. [Google Scholar] [CrossRef] [Green Version]
  87. Wang, J.; Liu, G.; Li, Q.; Wang, F.; Xie, F.; Zhai, R.; Guo, Y.; Chen, T.; Zhang, N.; Ni, W.; et al. Mucin1 promotes the migration and invasion of hepatocellular carcinoma cells via JNK-mediated phosphorylation of Smad2 at the C-terminal and linker regions. Oncotarget 2015, 6, 19264–19278. [Google Scholar] [CrossRef] [Green Version]
  88. Yuan, S.-F.; Li, K.-Z.; Wang, L.; Dou, K.-F.; Yan, Z.; Han, W.; Zhang, Y.-Q. Expression of MUC1 and its significance in hepatocellular and cholangiocarcinoma tissue. World J. Gastroenterol. WJG 2005, 11, 4661–4666. [Google Scholar] [CrossRef]
  89. Zhou, R.; Yazdanifar, M.; Roy, L.D.; Whilding, L.M.; Gavrill, A.; Maher, J.; Mukherjee, P. CAR T Cells Targeting the Tumor MUC1 Glycoprotein Reduce Triple-Negative Breast Cancer Growth. Front. Immunol. 2019, 10, 1149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Ma, Y.-D.; Wang, Z.; Gong, R.-Z.; Li, L.-F.; Wu, H.-P.; Jin, H.-J.; Qian, Q.-J. Specific cytotoxicity of MUC1 chimeric antigen receptor-engineered Jurkat T cells against hepatocellular carcinoma. Acad. J. Second. Mil. Med Univ. 2014, 35, 1177. [Google Scholar] [CrossRef]
  91. Mei, Z.; Zhang, K.; Lam, A.K.; Huang, J.; Qiu, F.; Qiao, B.; Zhang, Y. MUC1 as a target for CAR-T therapy in head and neck squamous cell carinoma. Cancer Med. 2019, 9, 640–652. [Google Scholar] [CrossRef] [Green Version]
  92. Sun, B.; Yang, N.; Dai, H.; Liu, X.; Jia, R.; Cui, X.; Li, W.; Cai, C.; Xu, J.; Zhao, X. Eradication of Hepatocellular Carcinoma by NKG2D-Based CAR-T Cells. Cancer Immunol. Res. 2019, 7, 1813–1823. [Google Scholar] [CrossRef]
  93. Hue, S.; Mention, J.-J.; Monteiro, R.; Zhang, S.; Cellier, C.; Schmitz, J.; Verkarre, V.; Fodil, N.; Bahram, S.; Cerf-Bensussan, N.; et al. A Direct Role for NKG2D/MICA Interaction in Villous Atrophy during Celiac Disease. Immunity 2004, 21, 367–377. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Baumeister, S.H.; Murad, J.; Werner, L.; Daley, H.; Trebeden-Negre, H.; Gicobi, J.K.; Schmucker, A.; Reder, J.; Sentman, C.L.; Gilham, D.E.; et al. Phase I Trial of Autologous CAR T Cells Targeting NKG2D Ligands in Patients with AML/MDS and Multiple Myeloma. Cancer Immunol. Res. 2019, 7, 100–112. [Google Scholar] [CrossRef]
  95. Zerbini, A.; Pilli, M.; Soliani, P.; Ziegler, S.; Pelosi, G.; Orlandini, A.; Cavallo, C.; Uggeri, J.; Scandroglio, R.; Crafa, P.; et al. Ex vivo characterization of tumor-derived melanoma antigen encoding gene-specific CD8+cells in patients with hepatocellular carcinoma. J. Hepatol. 2004, 40, 102–109. [Google Scholar] [CrossRef]
  96. Korangy, F.; Ormandy, L.A.; Bleck, J.S.; Klempnauer, J.; Wilkens, L.; Manns, M.P.; Greten, T.F. Spontaneous Tumor-Specific Humoral and Cellular Immune Responses to NY-ESO-1 in Hepatocellular Carcinoma. Clin. Cancer Res. 2004, 10, 4332–4341. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Mizukoshi, E.; Nakamoto, Y.; Marukawa, Y.; Arai, K.; Yamashita, T.; Tsuji, H.; Kuzushima, K.; Takiguchi, M.; Kaneko, S. Cytotoxic T cell responses to human telomerase reverse transcriptase in patients with hepatocellular carcinoma. Hepatology 2006, 43, 1284–1294. [Google Scholar] [CrossRef] [PubMed]
  98. Vasanthakumar, S.; Sasikala, P.; Padma, M.; Balachandar, V.; Venkatesh, B.; Ganesan, S. EpCAM as a novel therapeutic target for hepatocellular carcinoma. J. Oncol. Sci. 2017, 3, 71–76. [Google Scholar]
  99. Li, Y.; Xu, J.; Chen, L.; Zhong, W.D.; Zhang, Z.; Mi, L.; Zhang, Y.; Liao, C.G.; Bian, H.J.; Jiang, J.L.; et al. HAb18G (CD147), a cancer-associated biomarker and its role in cancer detection. Histopathology 2009, 54, 677–687. [Google Scholar] [CrossRef]
  100. Wu, J.; Lu, M.; Li, Y.; Shang, Y.-K.; Wang, S.-J.; Meng, Y.; Wang, Z.; Li, Z.-S.; Chen, H.; Chen, Z.-N.; et al. Regulation of a TGF-β1-CD147 self-sustaining network in the differentiation plasticity of hepatocellular carcinoma cells. Oncogene 2016, 35, 5468–5479. [Google Scholar] [CrossRef]
  101. Zhang, R.-Y.; Wei, D.; Liu, Z.-K.; Yong, Y.-L.; Wei, W.; Zhang, Z.-Y.; Lv, J.-J.; Zhang, Z.; Chen, Z.-N.; Bian, H. Doxycycline Inducible Chimeric Antigen Receptor T Cells Targeting CD147 for Hepatocellular Carcinoma Therapy. Front. Cell Dev. Biol. 2019, 7, 233. [Google Scholar] [CrossRef] [Green Version]
  102. Tahara, K.; Mori, M.; Sadanaga, N.; Sakamoto, Y.; Kitano, S.; Makuuchi, M. Expression of the MAGE gene family in human hepatocellular carcinoma. Cancer 1999, 85, 1234–1240. [Google Scholar] [CrossRef]
  103. Weon, J.; Potts, P.R. The MAGE protein family and cancer. Curr. Opin. Cell Biol. 2015, 37, 1–8. [Google Scholar] [CrossRef] [Green Version]
  104. Wang, H.; Chen, D.; Wang, R.; Quan, W.; Xia, D.; Mei, J.; Liu, C. NY-ESO-1 expression in solid tumors predicts prognosis: A systematic review and meta-analysis. Medicine 2019, 98, e17990. [Google Scholar] [CrossRef] [PubMed]
  105. Nakamura, S.; Nouso, K.; Noguchi, Y.; Higashi, T.; Ono, T.; Jungbluth, A.; Chen, Y.-T.; Old, L.J.; Nakayama, E.; Shiratori, Y. Expression and immunogenicity of NY-ESO-1 in hepatocellular carcinoma. J. Gastroenterol. Hepatol. 2006, 21, 1281–1285. [Google Scholar] [CrossRef] [Green Version]
  106. Bjorkman, P.J.; Saper, M.A.; Samraoui, B.; Bennett, W.S.; Strominger, J.L.; Wiley, D.C. Structure of the human class I histocompatibility antigen, HLA-A2. Nat. Cell Biol. 1987, 329, 506–512. [Google Scholar] [CrossRef]
  107. Huang, J.; Brameshuber, M.; Zeng, X.; Xie, J.; Li, Q.-J.; Chien, Y.-H.; Valitutti, S.; Davis, M.M. A Single Peptide-Major Histocompatibility Complex Ligand Triggers Digital Cytokine Secretion in CD4+ T Cells. Immunity 2013, 39, 846–857. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  108. González-Galarza, F.F.; Takeshita, L.Y.; Santos, E.J.; Kempson, F.; Maia, M.H.T.; Da Silva, A.L.S.; Silva, A.L.T.E.; Ghattaoraya, G.; Alfirevic, A.; Jones, A.; et al. Allele frequency net 2015 update: New features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations. Nucleic Acids Res. 2015, 43, D784–D788. [Google Scholar] [CrossRef] [PubMed]
  109. Li, D.; Li, X.; Zhou, W.-L.; Huang, Y.; Liang, X.; Jiang, L.; Yang, X.; Sun, J.; Li, Z.; Han, W.-D.; et al. Genetically engineered T cells for cancer immunotherapy. Signal Transduct. Target. Ther. 2019, 4, 1–17. [Google Scholar] [CrossRef] [PubMed]
  110. Ghorashian, S.; Veliça, P.; Chua, I.; McNicol, A.-M.; Carpenter, B.; Holler, A.; Nicholson, E.; Ahmadi, M.; Zech, M.; Xue, S.-A.; et al. CD8 T Cell Tolerance to a Tumor-Associated Self-Antigen Is Reversed by CD4 T Cells Engineered to Express the Same T Cell Receptor. J. Immunol. 2014, 194, 1080–1089. [Google Scholar] [CrossRef] [Green Version]
  111. Goyal, L.; Frigault, M.; Meyer, T.; Feun, L.G.; Bruix, J.; El-Khoueiry, A.; Finn, R.S. Abstract 3183: Initial safety of AFP SPEAR T-cells in patients with advanced hepatocellular carcinoma. Cancer Res. 2019, 79 (Suppl. 13), 3183. [Google Scholar]
  112. Butterfield, L.H.; Ribas, A.; Meng, W.S.; Dissette, V.B.; Amarnani, S.; Vu, H.T.; Seja, E.; Todd, K.; Glaspy, J.A.; McBride, W.H.; et al. T-cell responses to HLA-A*0201 immunodominant peptides derived from alpha-fetoprotein in patients with hepatocellular cancer. Clin. Cancer Res. 2003, 9, 5902–5908. [Google Scholar] [PubMed]
  113. Adaptimmune Updates Data from its Phase 1 Trial for Liver Cancer at ILCA Showing Clinical Benefit [Internet]. Adaptimmune Therapeutics plc. Available online: https://www.adaptimmune.com/investors-and-media/news-media/press-releases/detail/196/adaptimmune-updates-data-from-its-phase-1-trial-for-liver (accessed on 10 September 2021).
  114. Wang, S.-H.; Yeh, S.-H.; Chen, P.-J. Unique Features of Hepatitis B Virus-Related Hepatocellular Carcinoma in Pathogenesis and Clinical Significance. Cancers 2021, 13, 2454. [Google Scholar] [CrossRef] [PubMed]
  115. Qasim, W.; Brunetto, M.; Gehring, A.; Xue, S.-A.; Schurich, A.; Khakpoor, A.; Zhan, H.; Ciccorossi, P.; Gilmour, K.; Cavallone, D.; et al. Immunotherapy of HCC metastases with autologous T cell receptor redirected T cells, targeting HBsAg in a liver transplant patient. J. Hepatol. 2015, 62, 486–491. [Google Scholar] [CrossRef] [PubMed]
  116. Gehring, A.; Xue, S.-A.; Ho, Z.Z.; Teoh, D.; Ruedl, C.; Chia, A.; Koh, S.; Lim, S.G.; Maini, M.; Stauss, H.; et al. Engineering virus-specific T cells that target HBV infected hepatocytes and hepatocellular carcinoma cell lines. J. Hepatol. 2011, 55, 103–110. [Google Scholar] [CrossRef]
  117. Lai, Q.; Avolio, A.; Lerut, J.; Singh, G.; Chan, S.C.; Berloco, P.B.; Tisone, G.; Agnes, S.; Chok, K.S.H.; Sharr, W.; et al. Recurrence of hepatocellular cancer after liver transplantation: The role of primary resection and salvage transplantation in East and West. J. Hepatol. 2012, 57, 974–979. [Google Scholar] [CrossRef]
  118. Faria, L.C.; Gigou, M.; Roque–Afonso, A.M.; Sebagh, M.; Roche, B.; Fallot, G.; Ferrari, T.C.D.A.; Guettier, C.; Dussaix, E.; Castaing, D.; et al. Hepatocellular Carcinoma Is Associated With an Increased Risk of Hepatitis B Virus Recurrence After Liver Transplantation. Gastroenterol. 2008, 134, 1890–1899. [Google Scholar] [CrossRef]
  119. Li, T.; Jiang, W.; Feng, Z.Q. The research advances of CAR-T cell therapy in solid tumor. J. Med. Postgrad. 2019, 886–890. [Google Scholar] [CrossRef]
  120. Tseng, H.-C.; Xiong, W.; Badeti, S.; Yang, Y.; Ma, M.; Liu, T.; Ramos, C.A.; Dotti, G.; Fritzky, L.; Jiang, J.-G.; et al. Efficacy of anti-CD147 chimeric antigen receptors targeting hepatocellular carcinoma. Nat. Commun. 2020, 11, 4810. [Google Scholar] [CrossRef]
  121. Liu, X.; Jiang, S.; Fang, C.; Yang, S.; Olalere, D.; Pequignot, E.C.; Cogdill, A.; Li, N.; Ramones, M.; Granda, B.; et al. Affinity-Tuned ErbB2 or EGFR Chimeric Antigen Receptor T Cells Exhibit an Increased Therapeutic Index against Tumors in Mice. Cancer Res. 2015, 75, 3596–3607. [Google Scholar] [CrossRef] [Green Version]
  122. Brandt, L.J.B.; Barnkob, M.B.; Michaels, Y.S.; Heiselberg, J.; Barington, T. Emerging Approaches for Regulation and Control of CAR T Cells: A Mini Review. Front. Immunol. 2020, 11, 326. [Google Scholar] [CrossRef] [Green Version]
  123. Caruana, I.; Savoldo, B.; Hoyos, V.; Weber, G.; Liu, H.; Kim, E.; Ittmann, M.M.; Marchetti, D.; Dotti, G. Heparanase promotes tumor infiltration and antitumor activity of CAR-redirected T lymphocytes. Nat. Med. 2015, 21, 524–529. [Google Scholar] [CrossRef] [Green Version]
  124. Zou, B.; Liu, X.; Zhang, B.; Gong, Y.; Cai, C.; Li, P.; Chen, J.; Xing, S.; Chen, J.; Peng, S.; et al. The Expression of FAP in Hepatocellular Carcinoma Cells is Induced by Hypoxia and Correlates with Poor Clinical Outcomes. J. Cancer 2018, 9, 3278–3286. [Google Scholar] [CrossRef]
  125. Baglieri, J.; Brenner, D.A.; Kisseleva, T. The Role of Fibrosis and Liver-Associated Fibroblasts in the Pathogenesis of Hepatocellular Carcinoma. Int. J. Mol. Sci. 2019, 20, 1723. [Google Scholar] [CrossRef] [Green Version]
  126. Katz, S.C.; Burga, R.A.; McCormack, E.; Wang, L.J.; Mooring, W.; Point, G.R.; Khare, P.D.; Thorn, M.; Ma, Q.; Stainken, B.F.; et al. Phase I Hepatic Immunotherapy for Metastases Study of Intra-Arterial Chimeric Antigen Receptor–Modified T-cell Therapy for CEA+ Liver Metastases. Clin. Cancer Res. 2015, 21, 3149–3159. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Nagarsheth, N.; Wicha, M.S.; Zou, W. Chemokines in the cancer microenvironment and their relevance in cancer immunotherapy. Nat. Rev. Immunol. 2017, 17, 559–572. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  128. Vilgelm, A.E.; Richmond, A. Chemokines Modulate Immune Surveillance in Tumorigenesis, Metastasis, and Response to Immunotherapy. Front. Immunol. 2019, 10, 333. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  129. Liu, G.; Rui, W.; Zheng, H.; Huang, D.; Yu, F.; Zhang, Y.; Dong, J.; Zhao, X.; Lin, X. CXCR2-modified CAR-T cells have enhanced trafficking ability that improves treatment of hepatocellular carcinoma. Eur. J. Immunol. 2020, 50, 712–724. [Google Scholar] [CrossRef] [PubMed]
  130. Markley, J.C.; Sadelain, M. IL-7 and IL-21 are superior to IL-2 and IL-15 in promoting human T cell–mediated rejection of systemic lymphoma in immunodeficient mice. Blood 2010, 115, 3508–3519. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  131. Batra, S.A.; Rathi, P.; Guo, L.; Courtney, A.N.; Fleurence, J.; Balzeau, J.; Shaik, R.S.; Nguyen, T.P.; Wu, M.-F.; Bulsara, S.; et al. Glypican-3–Specific CAR T Cells Coexpressing IL15 and IL21 Have Superior Expansion and Antitumor Activity against Hepatocellular Carcinoma. Cancer Immunol. Res. 2020, 8, 309–320. [Google Scholar] [CrossRef]
  132. Hou, A.J.; Chang, Z.L.; Lorenzini, M.H.; Zah, E.; Chen, Y.Y. TGF-β-responsive CAR-T cells promote anti-tumor immune function. Bioeng. Transl. Med. 2018, 3, 75–86. [Google Scholar] [CrossRef]
  133. Spear, P.; Barber, A.; Rynda-Apple, A.; Sentman, C.L. Chimeric antigen receptor T cells shape myeloid cell function within the tumor microenvironment through IFN-γ and GM-CSF. J. Immunol. 2012, 188, 6389–6398. [Google Scholar] [CrossRef]
  134. Hosseinkhani, N.; Derakhshani, A.; Kooshkaki, O.; Shadbad, M.A.; Hajiasgharzadeh, K.; Baghbanzadeh, A.; Safarpour, H.; Mokhtarzadeh, A.; Brunetti, O.; Yue, S.; et al. Immune Checkpoints and CAR-T Cells: The Pioneers in Future Cancer Therapies? Int. J. Mol. Sci. 2020, 21, 8305. [Google Scholar] [CrossRef]
  135. Guo, X.; Jiang, H.; Shi, B.; Zhou, M.; Zhang, H.; Shi, Z.; Du, G.; Luo, H.; Wu, X.; Wang, Y.; et al. Disruption of PD-1 Enhanced the Anti-tumor Activity of Chimeric Antigen Receptor T Cells Against Hepatocellular Carcinoma. Front. Pharmacol. 2018, 9, 1118. [Google Scholar] [CrossRef]
  136. Lu, Y.-C.; Zheng, Z.; Robbins, P.F.; Tran, E.; Prickett, T.D.; Gartner, J.J.; Li, Y.F.; Ray, S.; Franco, Z.; Bliskovsky, V.; et al. An Efficient Single-Cell RNA-Seq Approach to Identify Neoantigen-Specific T Cell Receptors. Mol. Ther. 2018, 26, 379–389. [Google Scholar] [CrossRef] [Green Version]
  137. Ye, B.; Smerin, D.; Gao, Q.; Kang, C.; Xiong, X. High-throughput sequencing of the immune repertoire in oncology: Applications for clinical diagnosis, monitoring, and immunotherapies. Cancer Lett. 2018, 416, 42–56. [Google Scholar] [CrossRef]
  138. Obenaus, M.; Leitão, C.; Leisegang, M.; Chen, X.; Gavvovidis, I.; Van Der Bruggen, P.; Uckert, W.; Schendel, D.J.; Blankenstein, T. Identification of human T-cell receptors with optimal affinity to cancer antigens using antigen-negative humanized mice. Nat. Biotechnol. 2015, 33, 402–407. [Google Scholar] [CrossRef]
  139. Tan, M.P.; Gerry, A.B.; Brewer, J.E.; Melchiori, L.; Bridgeman, J.S.; Bennett, A.D.; Pumphrey, N.J.; Jakobsen, B.K.; Price, D.; Ladell, K.; et al. T cell receptor binding affinity governs the functional profile of cancer-specific CD8 + T cells. Clin. Exp. Immunol. 2015, 180, 255–270. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  140. Marabelle, A.; Kohrt, H.; Caux, C.; Levy, R. Intratumoral Immunization: A New Paradigm for Cancer Therapy. Clin. Cancer Res. 2014, 20, 1747–1756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  141. Harris, D.T.; Kranz, D.M. Adoptive T Cell Therapies: A Comparison of T Cell Receptors and Chimeric Antigen Receptors. Trends Pharmacol. Sci. 2016, 37, 220–230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  142. Di Stasi, A.; Tey, S.K.; Dotti, G.; Fujita, Y.; Kennedy-Nasser, A.; Martinez, C.; Brenner, M.K. Inducible apoptosis as a safety switch for adoptive cell therapy. N. Engl. J. Med. 2011, 365, 1673–1683. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Immune-based and TKI therapies for HCC. Approved drugs and investigational agents are listed, including checkpoint inhibitors (ICIs), adoptive T cell therapies, small molecule inhibitors of angiogenesis and tumour growth, monoclonal antibodies targeting angiogenesis and oncolytic viruses and vaccines.
Figure 1. Immune-based and TKI therapies for HCC. Approved drugs and investigational agents are listed, including checkpoint inhibitors (ICIs), adoptive T cell therapies, small molecule inhibitors of angiogenesis and tumour growth, monoclonal antibodies targeting angiogenesis and oncolytic viruses and vaccines.
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Figure 2. Structure of T-cell receptors (TCR) and Chimeric antigen receptors (CAR-T). (a) CAR-T cells recognise tumour antigens in an MHC-unrestricted manner. Target binding induces T cell activation, proliferation and cytotoxicity. (b) CAR-T design has evolved over time. 1st generation CARs comprise an extracellular scFv recognising a specific antigen connected to a transmembrane domain via a hinge with a CD3ζ endodomain. 2nd generation CARs include an additional costimulatory moeity such as CD28, whereas 3rd generation CARs have two co-stimulatory domains linked to the CD3ζ chain, e.g., 41BB and CD28, with the aim of improving CAR-T functionality and persistence. 4th generation CARs, ‘armoured CARs’, incorporate modules for cytokine production, e.g., IL-12, with the aim of improving CAR-T proliferation and persistence whilst concurrently stimulating endogenous immune compartments within the tumour microenvironment. (c) The T cell receptor (TCR) complex comprises engineered α and β chains in association with CD3 chains. Engineered TCRs interact with major histocompatibility complex (MHC)-antigen peptide complexes on cancer cells, to induce T cell activation and to promote tumour eradication.
Figure 2. Structure of T-cell receptors (TCR) and Chimeric antigen receptors (CAR-T). (a) CAR-T cells recognise tumour antigens in an MHC-unrestricted manner. Target binding induces T cell activation, proliferation and cytotoxicity. (b) CAR-T design has evolved over time. 1st generation CARs comprise an extracellular scFv recognising a specific antigen connected to a transmembrane domain via a hinge with a CD3ζ endodomain. 2nd generation CARs include an additional costimulatory moeity such as CD28, whereas 3rd generation CARs have two co-stimulatory domains linked to the CD3ζ chain, e.g., 41BB and CD28, with the aim of improving CAR-T functionality and persistence. 4th generation CARs, ‘armoured CARs’, incorporate modules for cytokine production, e.g., IL-12, with the aim of improving CAR-T proliferation and persistence whilst concurrently stimulating endogenous immune compartments within the tumour microenvironment. (c) The T cell receptor (TCR) complex comprises engineered α and β chains in association with CD3 chains. Engineered TCRs interact with major histocompatibility complex (MHC)-antigen peptide complexes on cancer cells, to induce T cell activation and to promote tumour eradication.
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Figure 3. Solid tumour CAR T-cell challenges and potential strategies to overcome these. There are many obstacles to the design and delivery of effective CAR T-cell therapy for solid tumours. This includes physical barriers to tumour infiltration, heterogeneity of antigen expression, immunosuppressive factors in the tumour microenvironment and potentially challenging clinical toxicities. There are several novel engineering solutions to address each of these issues, as outlined in this figure. Key: BiTEs, bi-specific T cell engagers; CRS, cytokine release syndrome; CTLA-4, cytotoxic T lymphocyte protein 4; ICANS, immune effector cell-associated neurotoxicity syndrome; MDSCs, myeloid-derived suppressor cells; PD-1, programmed cell death 1; PD-L1, programmed cell death 1 ligand 1; scFv, single-chain Ig variable fragment; TGFβ, transforming growth factor-β; Treg, regulatory T cells.
Figure 3. Solid tumour CAR T-cell challenges and potential strategies to overcome these. There are many obstacles to the design and delivery of effective CAR T-cell therapy for solid tumours. This includes physical barriers to tumour infiltration, heterogeneity of antigen expression, immunosuppressive factors in the tumour microenvironment and potentially challenging clinical toxicities. There are several novel engineering solutions to address each of these issues, as outlined in this figure. Key: BiTEs, bi-specific T cell engagers; CRS, cytokine release syndrome; CTLA-4, cytotoxic T lymphocyte protein 4; ICANS, immune effector cell-associated neurotoxicity syndrome; MDSCs, myeloid-derived suppressor cells; PD-1, programmed cell death 1; PD-L1, programmed cell death 1 ligand 1; scFv, single-chain Ig variable fragment; TGFβ, transforming growth factor-β; Treg, regulatory T cells.
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Table 1. CAR for HCC—only included trials with known status, all trials are for adult cancers. Information included where available, however due to non-uniform reporting of clinical trial details there is some variation.
Table 1. CAR for HCC—only included trials with known status, all trials are for adult cancers. Information included where available, however due to non-uniform reporting of clinical trial details there is some variation.
Study NumberPhaseInterventionCAR-T TypePopulation under StudyInclusion/Exclusion CriteriaEnd Points + Expected ToxicitiesTarget Sample Size (n)Status
NCT03993743ICD147 targeted CAR T3rd Generation doxycycline inducible system.
Autologous
Advanced HCC Untreatable by surgery or local therapy or has postoperative progressions, has failed at least one line of standard systemic chemotherapyDLT and MTD of CD-147 CAR-T hepatic artery infusions
Activity of CAR-T cell hepatic artery infusions
CAR-T detection in extrahepatic sites
34Recruiting
NCT04121273IGPC3 targeted CAR T2nd Generation
Autologous
Advanced HCCCancer has progressed after treatment, or cannot receive standard of care.Dose limiting toxicity such as fever or jaundice
Radiological evaluation of tumour size
Peripheral tumour marker
Peripheral CAR-T detection by flow cytometry
20Recruiting
NCT02905188IGPC3 targeted CAR T2nd Generation
Autologous
Lymphodepletion regimen (Cytoxan and Fludarabine)
Previously treated HCCRelapsed or refractory to treatment that has metastasized or cannot receive other standard lines of therapyDose limiting toxicity such as any grade 5 event, grade 2 or 4 allergic reaction, both haematologica and non haematologic of grade 4 that fails to return to grade 2 within 72 hurs. Grade 3 or 4 CRS.
CR/PR.
CAR-T persistence by PCR.
14Recruiting
NCT03198546IGPC3 T2 targeted CAR T3rd/4th Generation
GPC3 and/or TGFb CAR with/without IL7/CCL19 and/or scfv against PD1/CTLA4/Tigit
Autologous
Advanced HCCAdvanced disease and not eligible for alternative therapyDose limiting toxicity that is irreversible or life threatening; haematologic or non-haematologic grade 3–5.
CR/PR
Persistence measured by PCR
30Recruiting
NCT03884751IGPC3 targeted CAR T2nd Generation
Autologous
Advanced HCCPatients must not be eligible for surgery or have progressive disease after standard therapies.Dose limiting toxicity and maximum tolerated dose
Pharmacokinetics including CAR-T expansion and persistence measured by PCR
15Recruiting
NCT03941626I/IIEGFRviii/DR5 targeted CAR-T/TCR-T2nd Generation
Autologous
Lymphodepletion regimen (Cyclophosphamide and fludarabine)
Basket trial including HCCMulti tumour type but for liver patients must be untreatable by surgery or postoperative recurrence or no effective treatmentAdverse events and clinical response measured by change in tumour volume by CT and MRI50Recruiting
NCT03013712IEpCAM targeted CAR T2nd Generation
Autologous
Basket trial including HCCMulti tumour type but for liver patients must be untreatable by surgery or postoperative recurrence or no effective treatmentToxicity profile and antitumour efficacy
Persistence of CAR-T cells in the blood measured by flow cytometry
60Recruiting
NCT03980288IGPC3 Targeted CAR T4th Generation
Autologous
Lymphodepletion regimen (Cyclophosphamide and fludarabine)
Advanced HCCAdvanced hepatocellular carcinoma and refractory or intolerant to current standard systemic treatmentDose limiting toxicity and maximum tolerated dose
CAR-T expansion measured by PCR
36Recruiting
NCT04506983IGPC3-CAR T Cell2nd Generation
Autologous
Advanced HCCAdvanced disease BCLC B/CPercentage of any adverse events
Overall remission rate
Proliferation of CAR T Cells
12Not yet recruiting
NCT04550663INKG2D CAR-T (KD-025)AutologousBasket (including HCC)For those with advanced disease that is not eligible for other treatment. NKG2DL+Maximum tolerated dose
Adverse events occurrence monitoring
Objective remission rate
10Not yet recruiting
NCT02395250IGPC3 CAR T cell2nd Generation
Autologous
Previously treated HCCUntreatable by surgery or postoperative recurrence with no effective treatmentAny adverse events incidence as a result of CAR-T cells13Completed
NCT02723942IGPC3 CAR T cellNo generation mentioned
Autologous
Previously treated HCCUntreatable by surgery or postoperative recurrence with no effective treatmentEffect of CAR on tumour through reduction in tumour burden, assessment via CT or PET.
Safety profile related issues such as fever and jaundice.
N/AWithdrawn
NCT04270461INKG2D CAR T cell2nd Generation
Autologous
Basket NKG2DL+(including HCC)Patients with relapsed/refractory diseaseOS and safety profile
Delivery via hepatic portal artery
N/AWithdrawn
NCT04093648IGPC3 CAR T with IL21 and 15 (TEGAR)4th Generation
Autologous
Lymphodepletion (Cytoxan and Fludarabine)
Preciously treated HCCUntreatable by surgery or postoperative recurrence with no effective treatmentDLT including neurotoxicity and CRS
Response rate (partial or complete)
N/AWithdrawn—incorporated into another study
NCT03349255IET1402L1-CAR T cell2nd Generation
Autologous
Previously treated liver cancer AFP+No available curative therapeutic options and a poor overall prognosis.
DLT and toxicity such as fever, CRS, neutropenia
Response rate
CAR-T cell engraftment
3Terminated
Table 2. TCR-T trials for HCC—only included trials with known status, all trials have been conducted in adults.
Table 2. TCR-T trials for HCC—only included trials with known status, all trials have been conducted in adults.
Study NumberPhaseInterventionSource of CellsPopulation
under Study
Inclusion/
Exclusion Criteria
Trial End Points Target Sample Size (n)Status
NCT03132792IAFPC332 T CellsAutologousHLA-A02+ AFP+ HCCRelapsed or refractory diseaseDLTs and AEs
Time intervals between infusion and response
45Recruiting
NCT04368182IC-TCR055 (AFP TCR)AutologousHLA-A02+ AFP+ HCCUnresectable disease, relapsed or refractorySafety through adverse event monitoring and ORR3Recruiting
NCT03971747IC-TCR055 (AFP TCR)Autologous HLA-A02+ AFP+ HCCUnresectable disease, relapsed or refractorySafety through adverse event monitoring and ORR9Recruiting
NCT03634683I/IILioCyxAutologousHLA Class I HBV HCCRecurrent HBV related HCC post transplantationSafety by reporting of adverse events, ORR and quality of life measurements72Not yet recruiting
NCT04502082I/IIET140203 T cells (ARYA-1)AutologousHLA-A02+ AFP+ HCCAdvanced diseaseIncidence and severity of adverse events50Recruiting
NCT03888859IET1402L1-ARTEMISTM T cellsAutologousHLA-A02+ AFP+ HCCAdvanced disease where patients have no available curable therapeuticsDLTs
Administration route assessment; IV/intrahepatic/intratumoural
12Completed
NCT03965546IET140202 AFP T cell combination with wither TAE or SorafenibAutologousHLA-A02+ AFP+ HCCAdvanced disease where patients have no available curative therapeuticsAdverse events frequency and T cell expansion27Recruiting
NCT03899415IHBV specific TCR redirected T CellAutologousHLA Class I HBV HCCAdvanced HBV related HCC post hepatectomy or radiofrequency ablationIncidence of adverse events and ORR10Recruiting
NCT03132792IAFPᶜ³³²T cellsAutologousHLA-A02+ AFP+ HCCAdvanced, relapsed or refractory diseaseDLTs and adverse event incidence and any response rate45Recruiting
NCT01967823IIAnti-NY ESO-1 mTCR
(murine TCR)
AutologousHLA-A*0201
Basket (including HCC)
Advanced disease NY-ESO-1 positive tumoursClinical response (CR/PR) and TCR expansion by PCR11Completed
NCT03441100IIMA202–101 TCR T cells targeting MAGE-1AutologousBasket (including HCC)
HLA restricted
Advanced or metastatic tumour
MAGE-1 + tumour
Adverse event incidence and persistence of T Cells15Recruiting
Table 3. Outline and comparison of the 4 main types of cellular therapies key characteristics.
Table 3. Outline and comparison of the 4 main types of cellular therapies key characteristics.
Cell TherapyAntigen(s) RecognisedMHC RestrictedAdvantagesDisadvantages
TCR-T
TCR-engineered T Cells
Peptide/MHC, intracellular targets possibleYes
  • Sensitive antigen recognition
  • Can target intracellular tumour antigens
  • MHC restricted, limiting patient access
  • Single antigen targeting, prone to antigen escape
  • Complex gene engineering/design
  • Expensive to manufacture
  • Bespoke, patient-specific
CAR-T
Chimeric antigen receptor T-cells
Cell surface antigensNo
  • Not MHC restricted
  • High affinity antigen recognition
  • Strong signalling through CD3ζ
  • Can persist in vivo over months and years
  • Cell surface antigen restricted
  • Single antigen targeting, prone to antigen escape
  • Expensive to manufacture
  • Bespoke, patient-specific (for autologous CAR-T)
CIKs
Cytokine induced killer cells.
Not antigen specificNo
  • Heterogeneous product
  • Not antigen specific
  • No gene engineering required
  • Limited clinical experience and data from trials
TILs
Tumour infiltrating lymphocytes
Multiple tumour associated antigensYes
  • Heterogeneous product
  • Not antigen specific
  • No gene engineering required
  • Limited clinical experience and data from trials
  • Complex manufacture
  • How to overcome ‘exhausted’ T-cell phenotypes in TIL products
  • Need accessible tumour tissue to make products
  • Requirement for concurrent IL-2 to promote TIL expansion in patients
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Roddy, H.; Meyer, T.; Roddie, C. Novel Cellular Therapies for Hepatocellular Carcinoma. Cancers 2022, 14, 504. https://doi.org/10.3390/cancers14030504

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Roddy H, Meyer T, Roddie C. Novel Cellular Therapies for Hepatocellular Carcinoma. Cancers. 2022; 14(3):504. https://doi.org/10.3390/cancers14030504

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Roddy, Harriet, Tim Meyer, and Claire Roddie. 2022. "Novel Cellular Therapies for Hepatocellular Carcinoma" Cancers 14, no. 3: 504. https://doi.org/10.3390/cancers14030504

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Roddy, H., Meyer, T., & Roddie, C. (2022). Novel Cellular Therapies for Hepatocellular Carcinoma. Cancers, 14(3), 504. https://doi.org/10.3390/cancers14030504

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