| Literature DB >> 34947886 |
Rossella Fasano1, Mahdi Abdoli Shadbad2, Oronzo Brunetti1, Antonella Argentiero1, Angela Calabrese3, Patrizia Nardulli4, Roberto Calbi5, Behzad Baradaran6,7, Nicola Silvestris1,8.
Abstract
Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death worldwide. HCC patients may benefit from liver transplantation, hepatic resection, radiofrequency ablation, transcatheter arterial chemoembolization, and targeted therapies. The increased infiltration of immunosuppressive immune cells and the elevated expression of immunosuppressive factors in the HCC microenvironment are the main culprits of the immunosuppressive nature of the HCC milieu. The immunosuppressive tumor microenvironment can substantially attenuate antitumoral immune responses and facilitate the immune evasion of tumoral cells. Immunotherapy is an innovative treatment method that has been promising in treating HCC. Immune checkpoint inhibitors (ICIs), adoptive cell transfer (ACT), and cell-based (primarily dendritic cells) and non-cell-based vaccines are the most common immunotherapeutic approaches for HCC treatment. However, these therapeutic approaches have not generally induced robust antitumoral responses in clinical settings. To answer to this, growing evidence has characterized immune cell populations and delineated intercellular cross-talk using single-cell RNA sequencing (scRNA-seq) technologies. This review aims to discuss the various types of tumor-infiltrating immune cells and highlight their roles in HCC development. Besides, we discuss the recent advances in immunotherapeutic approaches for treating HCC, e.g., ICIs, dendritic cell (DC)-based vaccines, non-cell-based vaccines, oncolytic viruses (OVs), and ACT. Finally, we discuss the potentiality of scRNA-seq to improve the response rate of HCC patients to immunotherapeutic approaches.Entities:
Keywords: hepatocellular carcinoma; immune cells; immunotherapy; single-cell sequencing; tumor microenvironment
Year: 2021 PMID: 34947886 PMCID: PMC8704694 DOI: 10.3390/life11121355
Source DB: PubMed Journal: Life (Basel) ISSN: 2075-1729
Figure 1HCC immune microenvironment. The main elements of the HCC microenvironment are cancer cells, innate immune cells, stromal cells, adaptive immune cells, cancer-associated fibroblasts, and inflammatory cytokines. The interactions between tumor-infiltrating effector cells and other cell types are crucial in determining how HCC evolves. MDSCs release immunosuppressive cytokines such as IL-10 and TGF-beta, inhibiting NK cell antitumor activity. M1 TAMs releasing TNF-alpha and NO promote an antitumoral immune response. On the other hand, M2 TAMs producing IL-10 and TGF-beta inhibit immune response, leading to tumor development. The presence of TGF-beta in the tumor microenvironment suppresses degranulation by TANs, inhibiting their antitumor activity. Tregs overexpress lnc-EGFR, which reduces CTL activity, thus promoting HCC development. Type I NKT cells release proinflammatory cytokines, stimulating DCs and T cells; indeed, type II NKT cells suppress the immune response. DCs expressing inhibitory receptor ligands determine the downregulation of T cell-mediated immune response. CAFs contribute to developing an immunosuppressive microenvironment (http://smart.servier.com, accessed on 18 August 2021).
Figure 2Immune checkpoints and their inhibitors. HCC has an immunosuppressive tumor microenvironment. Inhibitory immunological checkpoints are one of the most critical components in the development of an immunosuppressive milieu. Indeed, elevated levels of PD-1, CTLA-4, LAG-3, and TIM-3 expression in the tumor microenvironment have been linked to reduced T cell-mediated antitumor immune responses. The interaction of PD-1 on tumor-infiltrating CD8+T cells and its ligand, PD-L1, on tumoral cells can lead to CD8+ T cell apoptosis. Moreover, MDSCs may interact with KCs to upregulate PD-L1 expression in HCC cells. CTLA-4 is expressed on activated T cells and Tregs, and it has a high affinity for competing with CD28 on APCs by binding to its ligands, CD80 and CD86. CTLA-4 inhibits the proliferation of T cells. MDSCs can express Gal-9, which interacts with Tim-3 on T cells, determining T cell apoptosis. TIM-3 is also expressed on TAMs, facilitating M2 polarization and HCC development. Inhibitory immune checkpoint molecules (ICIs) can pave the way for the immune evasion of tumoral cells. Nivolumab, pembrolizumab, camrelizumab, and tislelizumab are anti-PD-1 antibodies. Durvalumab, atezolizumab, and avelumab are anti-PD-L1 antibodies. Tremelimumab is an anti-CTLA-4 antibody, and cobolimab is an anti-Tim-3 antibody. These molecules can liberate T cells from exhaustion and facilitate the development of antitumoral immune responses (http://smart.servier.com, accessed on 20 August 2021).
Clinical trials and in vitro and in vivo studies on immunotherapy in HCC.
| Regimen | Target | NCT | Design | Number of Patients | Clinical Results | Ref. |
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| Nivolumab | PD-1 | NCT01658878 | Phase I/II | 262 | 15–20% ORS, 15.6 months of overall survival OS, considerable tumor decrease | [ |
| Pembrolizumab | PD-1 | NCT02702414 | Phase II | 104 | 17% ORS, 1% CR, 16 PR, 44% stable disease SD, 33% progression | [ |
| Camrelizumab | PD-1 | NCT02989922 | Phase II | 220 | 14.7% ORS, 74.4% OS at 6 months, 55.9% OS at 12 months | [ |
| Tislelizumab | PD-1 | NCT03412773 | Phase III | 674 | Recruiting | [ |
| Durvalumab | PD-L1 | NCT 01693562 | Phase I/II | 1022 | Recruiting | [ |
| Tremelimumab | CTLA-4 | NCT01008358 | Phase II | 21 | Partial response rate was 17.6%, and disease control rate was 76.4%. Time to progression was 6.48 months | [ |
| Cabolimab | TIM-3 | NCT02817633 | Phase I | 369 | Recruiting | [ |
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| DCs pulsed with | Mature autologous DCs pulsed | Phase I/II | 33 | 2 patients had PR (13.3%), 9 patients had SD (60%), and 4 patients had PD (26.7%) | [ | |
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| A vaccine based on GPC3 peptides | Intradermal | Phase I | 33 | 1 patient had PR, 19 patients had SD, 9 patients decreased AFP, 30 patients’ specific CTL response | [ | |
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| Anti-GPC3-CAR-T cells | GPC3-CAR treatment by intratumor injection | Phase I/II | 4 | 2 patients SD, 1 patient PR after 4 weeks, and PD after 18 weeks | [ | |
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| DCs pulsed with | DCs pulsed with the | In vitro study | DCs loaded with NY-ESO-1 protein stimulate antigen-specific T cell responses against HCC cells in vitro. | [ | ||
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| Injection of synthetic h-TERT | hTERT cDNA was subcloned in a plasmid | In vitro and in vivo study | 6.9–12.5% of patients had an hTERT-specific CD8+T cell-mediated immune responses. | [ | ||
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| LDO-GFP | Herpes simplex virus type 1-based oncolytic vector-based oncolytic vector | In vitro and in vivo study | Decreased tumor growth | [ | ||
| GP73-SphK1sR-Ad5 | Oncolytic adenovirus | In vitro and in vivo study | Apoptosis in HCC cells and decreased tumor volume | [ | ||
| VV-IL-37 | Vaccinia virus expressing IL-37 | In vitro study | Antitumoral immune responses | [ | ||
Abbreviation: ICI: immuno-checkpoint inhibitor; PD-1: programmed-death-1; PD-L1: programmed-death-ligand-1; CTLA-4: cytotoxic T-lymphocyte antigen 4; TIM3: mucin domain molecule 3; ORS: objective response rates; OS: overall survival; CR: complete response; PR: partial response; SD: stable disease; PD: progressive disease; IFN-γ: interferon-gamma; DC: dendritic cell; AFP: alpha-fetoprotein; NYESO-1: New York esophageal squamous cell carcinoma-1; GPC-3: glypican-3; hTERT: telomerase reverse transcriptase; GP73-SphK1sR-Ad5: Golgi protein 73-sphingosine kinase 1-short RNA-adenovirus serotype 5; VV: vaccinia virus; ACT: Adoptive cell transfer; CAR-T: chimeric antigen receptor T.
Figure 3Workflow of single-cell RNA sequencing. The first step is the tissue dissociation into a cell suspension. The single-cell is lysed after isolation, and the RNA is collected and transcribed to cDNA via reverse transcription. After that, the cDNA is amplified to create a high-throughput RNA-seq library. The analysis of single-cell expression profiles permits the identification of different cell populations and subpopulations. The scRNA-seq allows for the characterizing of immune cells within the tumor microenvironment, as well as cells present in low numbers and in the quiescent state (https://smart.servier.com accessed on 23 August 2021).