Literature DB >> 34593621

Trans-arterial chemoembolization as a loco-regional inducer of immunogenic cell death in hepatocellular carcinoma: implications for immunotherapy.

David J Pinato1,2, Sam M Murray3, Alejandro Forner4,5, Takahiro Kaneko6, Petros Fessas7, Pierluigi Toniutto8, Beatriz Mínguez9, Valentina Cacciato10, Claudio Avellini11, Alba Diaz12, Rosemary J Boyton3, Daniel M Altmann3, Robert D Goldin13, Ayse U Akarca14, Teresa Marafioti14, Francesco A Mauri15, Edoardo Casagrande10, Federica Grillo16, Edoardo Giannini10, Sherrie Bhoori17,18, Vincenzo Mazzaferro17,18.   

Abstract

BACKGROUND: Modulation of adaptive immunity may underscore the efficacy of trans-arterial chemoembolization (TACE). We evaluated the influence of TACE on T-cell function by phenotypic lymphocyte characterization in samples of patients undergoing surgery with (T+) or without (T-) prior-TACE treatment.
METHODS: We profiled intratumoral (IT), peritumoral (PT) and non-tumoral (NT) background tissue to evaluate regulatory CD4+/FOXP3+ (T-reg) and immune-exhausted CD8+/PD-1+ T-cells across T+ (n=58) and T- (n=61). We performed targeted transcriptomics and T-cell receptor sequencing in a restricted subset of samples (n=24) evaluated in relationship with the expression of actionable drivers of anti-cancer immunity including PD-L1, indoleamine 2,3 dehydrogenase (IDO-1), cytotoxic T-lymphocyte associated protein 4 (CTLA-4), Lag-3, Tim-3 and CD163.
RESULTS: We analyzed 119 patients resected (n=25, 21%) or transplanted (n=94, 79%) for Child-Pugh A (n=65, 55%) and Barcelona Clinic Liver Cancer stage A (n=92, 77%) hepatocellular carcinoma. T+ samples displayed lower IT CD4+/FOXP3+ (p=0.006), CD8+ (p=0.002) and CD8+/PD-1+ and NT CD8+/PD-1+ (p<0.001) compared with T-. Lower IT (p=0.005) and NT CD4+/FOXP3+ (p=0.03) predicted for improved recurrence-free survival. In a subset of samples (n=24), transcriptomic analysis revealed upregulation of a pro-inflammatory response in T+. T+ samples were enriched for IRF2 expression (p=0.01), an interferon-regulated transcription factor implicated in cancer immune-evasion. T-cell clonality and expression of PD-L1, IDO-1, CTLA-4, Lag-3, Tim-3 and CD163 was similar in T+ versus T-.
CONCLUSIONS: TACE is associated with lower IT density of immune-exhausted effector cytotoxic and T-regs, with significant upregulation of pro-inflammatory pathways. This highlights the pleiotropic effects of TACE in modulating the tumor microenvironment and strengthens the rationale for developing immunotherapy alongside TACE. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  immunotherapy; liver neoplasms

Mesh:

Year:  2021        PMID: 34593621      PMCID: PMC8487214          DOI: 10.1136/jitc-2021-003311

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   13.751


Introduction

Treatment of unresectable, non-metastatic hepatocellular carcinoma (HCC) on the background of compensated hepatic reserve is dominated by the use of trans-arterial chemoembolization (TACE).1 By combining direct cytotoxic effect of intra-arterial chemotherapy delivery with the ischemic damage induced by blood inflow arrest, TACE can cause tumor regression in up to 50% of patients.2 Evolving experience in the delivery of TACE has made this loco-regional therapy the treatment of choice in patients with intermediate-stage Barcelona Clinic Liver Cancer (BCLC) stage B HCC according to clinical guidelines.3 The overall survival (OS) of patients treated with TACE in contemporary clinical studies extends beyond 2 years, underscoring the capacity of this therapy to significantly delay tumor progression, prevent systemic spread and prolong life expectancy of patients who are ineligible to radical therapies. The proven efficacy of TACE has extended its utility to disease downstaging prior to liver transplantation and avoid drop-out due to interval tumor progression.4 While efficacious, TACE is not universally successful in controlling HCC growth and is mostly delivered with palliative intent.5 Over the past few decades, numerous attempts have been made to improve the long-term outlook of HCC patients treated with TACE by combining loco-regional therapy with molecularly targeted anti-cancer agents such as sorafenib6 or bevacizumab,7 guided by the rationale that sequential or concomitant inhibition of pro-angiogenic pathways might further enhance the clinical efficacy of TACE. The TACTICS study has recently demonstrated that concurrent sorafenib therapy might delay tumor progression following TACE,8 however evidence of OS benefit is lacking and large phase II/III studies have failed primary efficacy endpoints.9 10 The development of immune checkpoint inhibitors (ICIs) targeting programmed-cell death 1 (PD-1) and cytotoxic T-lymphocyte associated protein 4 (CTLA-4) is progressing at rapid pace in liver cancer.11 However, the efficacy of CTLA-4 and PD-1 monotherapy is limited in HCC, where the forerunner anti-CTLA-4 inhibitor tremelimumab12 and the PD-1 inhibitors nivolumab13 14 and pembrolizumab15 16 have been demonstrated to induce radiologically measurable tumor rejection in approximately 20% of patients, although without demonstrable improvement in survival. Conversely, demonstration of a 42% risk reduction in mortality from combined PD-L1 and vascular endothelial growth factor (VEGF) inhibition has recently elevated atezolizumab and bevacizumab to the role of new standard of care in unresectable HCC.17 Results of the ImBrave150 study highlight the necessity of combination approaches to improve patient outcome. The efficacy of TACE relates at least in part to treatment-induced modulation of innate and adaptive immunity.18 19 The release of cellular debris, pro-inflammatory cytokines and danger-associated molecular patterns after intra-arterial chemotherapy deliver and tumor embolization has a priming effect on adaptive immunity20 and the presence of spontaneous TACE-induced T-cell responses is predictive of improved outcome.21–24 A number of ongoing clinical trials are currently evaluating whether ICIs can synergize with TACE to promote more effective anti-tumor immune reconstitution and improve anti-tumor control.25 However, the precise functional characteristics of the tumor microenvironment in response to TACE are unknown. Taking advantage of a large clinically annotated series of archival HCC tissue samples, we have designed this study with the following aims: (1) phenotypically characterize the cellular subsets that enrich the tumor microenvironment after TACE; (2) evaluate the expression of PD-ligands and other co-inhibitory receptors and their respective ligands in response to TACE; (3) decipher clinically meaningful differences in the transcriptomic features of HCC following treatment by TACE with the aim to discover novel therapeutically actionable pathways involved in the anti-tumor immune response and prospectively rationalize translational studies of immunotherapy combinations in HCC.

Methods

Patient samples

We established a clinically annotated collection of archival paraffin-embedded HCC tissues from six tertiary academic centers for the care of HCC in UK, Italy and Spain, including a total of 119 patients (online supplemental table 1). Among all consecutive patients who received liver resection or transplantation for HCC, we identified 58 patients who had TACE prior to surgery and matched them with 61 who did not. Matching was performed on the basis of BCLC stage, Child-Pugh class and alfa-foetoprotein levels. All patients included had histological diagnosis of HCC, were staged preoperatively by dynamic CT and/or MRI and were followed up postoperatively with periodic imaging and clinical review as in accordance with current guidelines.3 Eligibility for TACE followed clinical guidelines and included: (1) diagnosis of HCC by means of histology or non-invasive criteria according to The European Association of the Study of the Liver and the American Association for the Study of Liver Diseases guidelines; (2) liver function within Child-Pugh B7 stage; (3) absence of main or branched portal vein thrombosis or extra-hepatic spread; (4) general contraindications to TACE (clinically significant artero-venous shunting, poor cardiac ejection fraction (<50%) or any other comorbid condition that in the opinion of the treating physician might have posed a significant risk to TACE). The decision to TACE was made by each respective multidisciplinary team in the context of bridging/downstaging strategy prior to surgery.26 Histopathologists at each site reviewed archival specimens to define key pathologic features on H&E slides. Number, location and size of neoplastic nodules were recorded and for each case, a number of sections representative of the full surface of the tumor mass were taken. Archival samples underwent central review (FAM, RDG) to guide tissue microdissection of target tumor areas27–29 and identify histopathological features of embolized tumors including necrosis and histologic alterations that have been previously described.30 To allow for maximal reproducibility in case of multifocal tumors, the dominant lesion was chosen for sampling. Clinical variables including patients’ demographics, etiology of chronic liver disease, liver functional reserve and, wherever possible, recurrence and survival status were reconstructed retrospectively from review of medical records. OS was calculated from the date of surgery until last follow-up or patients’ death. Recurrence-free survival (RFS) was calculated from date of radical therapy to radiologically proven recurrence.

TACE procedure

At all participating institutions, indication and suitability for TACE was confirmed in every case following multidisciplinary review of clinical data and staging CT and confirmed on pre-treatment diagnostic visceral angiography of the celiac trunk and superior mesenteric artery as previously reported.31 32 Depending on tumor burden and vascular anatomy, TACE was administered super-selectively whenever possible (ie, with a segmental or subsegmental approach) using a 2.7–3.0 Fr micro-cathether, which served for intra-arterial infusion of doxorubicin (50 mg, fixed dose) emulsified in lipiodol (10 mL) followed by embolization with Gelfoam powder (Pfizer, New York, New York, USA) with particles ranging from 40 to 60 µm in size administered as embolic material.

Multi-colour immunohistochemistry (IHC)

Multiplex immunostaining for CD4, CD8, FOXP3 and PD-1 was performed on 2 µm tissue sections using a pre-optimized protocol.33 Individual count of CD8+ and/FOXP3, CD8+/PD-1+ co-immunopositive cells was performed in tissue photomicrographs assessed at 450× magnification across tumorous and non-tumoral areas and reported as cellular density per mm2 of tissue. Every sample was scored on the basis of the mean of three independent readings per region. A subset of samples with viable residual tumor post TACE paired with TACE-untreated controls underwent single marker immunostaining for biomarkers of T-cell exhaustion including PD-L1 (E1L3N, CST Cat. Nr. 13684), indoleamine 2,3 dehydrogenase (IDO-1, D5J4E, Cat. Nr. 82723), Tim-3 (Cat Nr. AF2365), Lag-3 (EPR20261, Cat Nr. Ab209236), CTLA-4 (F-9, Cat Nr. sc-376016) and CD163 (10D6, Cat Nr. NCL-L-CD163) according to a previously optimized protocol.34 Lag-3 and CTLA-4 were scored as number of immune-positive lymphocytes at 450× magnification. PD-L1 expression was scored categorically using a 1% cut-off value, as routinely employed in clinical trials of ICI. IDO-1, Tim-3 were evaluated using a semi-quantitative score (H-score, range 0–300) derived from multiplying the percentage of positive cells (1% cut-off) by chromogenic intensity (ranked from 0 to 3).

DNA/RNA purification

Tissue specimens were quality controlled by a consultant histopathologist (FAM) on H&E sections to identify target areas containing >20% of viable tumor prior to molecular profiling. DNA and RNA were purified from 10 µM-thick FFPE sections using the AllPrep DNA/RNA FFPE Kit (Qiagen, Venlo, NL, Cat. 80234). DNA/RNA quantification was performed on an ND2000 Nanodrop spectrophotometer (Thermo Fisher Scientific, Loughborough, UK).

NanoString immune profiling and high-resolution T-cell receptor (TCR) sequencing

In a subset of samples (n=24), targeted transcriptomic profiling was performed on 200 ng of total RNA using the NanoString PanCancer-Immune panel on an nCounter Analysis System (NanoString Technologies, Seattle, Washington, USA) and analyzed using the nSolver Analysis Software (NanoString Technologies). Raw counts from gene expression data were normalized to the mean of the positive control probes for each assay and to the geometric mean of housekeeping genes in the codeset. We used unsupervised clustering to generate a heatmap of the normalized data to quantify the relative abundance of each transcript in cases versus controls (n=12 each). In total, 23/24 samples had sufficient DNA to undergo parallel sequencing of the CDR3 regions of human TCR-beta chain sequencing using the immunoSEQ Assay (Adaptive Biotechnologies, Seattle, Washington, USA).33 T-cell density was calculated by normalizing TCR template counts to the total amount of DNA that was usable for TCR sequencing. The amount of usable DNA was determined by PCR amplification and sequencing of housekeeping genes. Clonality was computed on productive rearrangements and defined as 1-Peilou’s evenness. Richness was calculated using the preseqR package.35

Statistical analysis

Descriptive statistics are presented as medians or means. Comparisons of proportions were performed using Pearson’s χ2 or Fisher’s exact tests and comparisons of medians were evaluated by Mann-Whitney U tests. Pearson’s or Spearman’s correlation coefficient tests were used to investigate correlations between clinicopathological variables. Analyses of survival were performed using Kaplan-Meier and Log-rank test followed by Cox regression analyses using a backwards elimination approach. Differential expression of specific genes in RNA expression experiments was determined using the false discovery rate method of Benjamini and Hochberg, with pre-defined q-value of 5%. All statistical analyses were performed using SPSS V.26.0 (IBM Inc) and GraphPad Prism (GraphPad software, La Jolla, California, USA). All estimates were reported with 95% CIs and a two-tailed level of significance of p≤0.05.

Results

Patient characteristics

In total, 119 archival tissue samples from patients who underwent liver resection (n=25, 21%) or transplantation (n=94, 79%) for HCC between 2005 and 2018 were included (100 men, 19 women). Median age at surgery was 54 (range 41–71). The majority of patients had cirrhosis (n=166, 97%) mostly secondary to hepatitis C virus infection (n=88, 74%) followed by alcohol excess (n=21, 18%). The majority of patients were in Child Pugh class A (n=65, 55%) had Tumour Node Metastasis (TNM) stage II disease (n=73, 61%) and had an overall BCLC stage A (n=92, 77%). A total of 58 patients had TACE prior to surgery (T+, n=58, 49%), whereas 61 did not (T−, 51%). Median number of TACE procedures in T+ patients was 1 (range 1–5). Median interval from last TACE to surgery was 3.4 months (range 2–11 months). Twenty-one (17%) out of the 58 T+ patients had histological evidence of post-treatment necrosis in ≥50% of the examined tumor tissue. Compared with T−, T+ patients were balanced in terms of maximum tumor diameter (2.3 vs 2.5 cm, p=0.93), BCLC stage (proportion of BCLC A/B, 88% vs 95%, p=0.32), Alpha-foetoprotein levels (AFP)(median 8 vs 13.6 ng/mL, p=0.77) and Child-Pugh class (Child-Pugh A 67% vs 70%, p=0.41). However, T+ patients had higher T stage (T≥2, 84%) compared with T− (T≥2, 47%, p<0.001). In the 103 patients with recurrence data available, 26 (22%) had documented disease relapse after resection (n=12, 54%) and 14 after transplantation (17%). The median RFS time was not reached, the mean was 131 months (95% CI 109 to 153). Thirty-two patients died during follow-up (27%) and the median OS for the whole cohort was 130 months (95% CI 101 to 159 months).

Phenotypic characteristic of the T-cell infiltrate in HCC

For each sample, we evaluated phenotypic characteristics of the T-cell infiltrate on intratumoral (IT) and peritumoral (PT) areas of archival samples as well as in non-tumoral (NT) background liver. Representative sections are shown in figure 1. The overall distribution of CD8+, CD4+/FOXP3+ and CD8+/PD-1+ T-cells is reported in online supplemental figure 1. As shown in figure 2, IT areas of T+ samples had significantly lower median CD4+/FOXP3+ (8.2 vs 40.8 cells/mm2, p=0.006), total CD8+ (32.7 vs 118.4 cells/mm2, p=0.002), and CD8+/PD-1+co-immunopositive cells (16.3 vs 36.7 cells/mm2, p<0.001) compared with T− samples. The distribution of CD4+, CD8+, CD4+/FOXP3+ and CD8+/PD-1+ T-cell density in PT infiltrate was not associated with TACE pre-treatment, however, in NT areas, T− samples had a lower median density of CD8+/PD-1+ cells compared with T+ (9.4 vs 146.4 cells/mm2, p<0.001, online supplemental table 2), whereas all other NT cell subpopulations showed no difference in distribution.
Figure 1

Representative sections illustrating architectural features of an HCC sample resected after TACE on standard H&E stain (Panel A). Red arrows highlight deposition of embolic material to the immediate vicinity of a viable HCC tumor deposit, marked by a blue dashed line (magnification 200×). Panel B highlights T-cell phenotypic characteristics by multiplex immunohistochemistry for CD4 (brown chromogen), FOXP3 (green chromogen), CD8+ (red chromogen), PD-1 (blue chromogen) and CD8+/PD-1 co-expression (purple chromogen). TACE pre-treatment (Panel B) is associated with less intense T-cell infiltrate compared with a TACE-untreated case (Panel C). Panels D–G illustrate representative sections of PD-L1 (Panel D), IDO-1 (Panel E), Tim-3/CD163 (Panel F) and Lag-3/CTLA-4 (Panel G) intratumoral staining corresponding to the H&E section shown in Panel B. CTLA-4, cytotoxic T-lymphocyte associated protein 4; HCC, hepatocellular carcinoma; IDO-1, indoleamine 2,3 dehydrogenase; PD-1, programmed-cell death 1; TACE, trans-arterial chemoembolization.

Figure 2

Histograms illustrating the relationship between CD4+, CD8+, CD4+/FOXP3+ and CD8+/PD-1+tumor infiltrating lymphocytes and prior-treatment with TACE (T+/T−) in patients with HCC, assayed across intratumoral (IT), peritumoral (PT) and non-tumoral (NT) background liver areas. TACE pre-treatment (T+) was associated with lower T-cell density values for IT CD8+, CD4+/FOXP3+, CD8+/PD-1+ cells and NT CD4+/FOXP3+ cells. **p<0.01, ****p<0.001. HCC, hepatocellular carcinoma; PD-1, programmed-cell death 1; TACE, trans-arterial chemoembolization.

Representative sections illustrating architectural features of an HCC sample resected after TACE on standard H&E stain (Panel A). Red arrows highlight deposition of embolic material to the immediate vicinity of a viable HCC tumor deposit, marked by a blue dashed line (magnification 200×). Panel B highlights T-cell phenotypic characteristics by multiplex immunohistochemistry for CD4 (brown chromogen), FOXP3 (green chromogen), CD8+ (red chromogen), PD-1 (blue chromogen) and CD8+/PD-1 co-expression (purple chromogen). TACE pre-treatment (Panel B) is associated with less intense T-cell infiltrate compared with a TACE-untreated case (Panel C). Panels D–G illustrate representative sections of PD-L1 (Panel D), IDO-1 (Panel E), Tim-3/CD163 (Panel F) and Lag-3/CTLA-4 (Panel G) intratumoral staining corresponding to the H&E section shown in Panel B. CTLA-4, cytotoxic T-lymphocyte associated protein 4; HCC, hepatocellular carcinoma; IDO-1, indoleamine 2,3 dehydrogenase; PD-1, programmed-cell death 1; TACE, trans-arterial chemoembolization. Histograms illustrating the relationship between CD4+, CD8+, CD4+/FOXP3+ and CD8+/PD-1+tumor infiltrating lymphocytes and prior-treatment with TACE (T+/T−) in patients with HCC, assayed across intratumoral (IT), peritumoral (PT) and non-tumoral (NT) background liver areas. TACE pre-treatment (T+) was associated with lower T-cell density values for IT CD8+, CD4+/FOXP3+, CD8+/PD-1+ cells and NT CD4+/FOXP3+ cells. **p<0.01, ****p<0.001. HCC, hepatocellular carcinoma; PD-1, programmed-cell death 1; TACE, trans-arterial chemoembolization. In patients that were radiologically evaluable for relapse (n=103), samples with higher (ie, ≥median) CD4+/FOXP3+ density in IT were characterized by a significantly shorter RFS (HR 4.2, 95% CI 1.4 to 12.5, median RFS not reached vs 57 months, Log rank p=0.005, figure 3). We found no relationship between CD4+/FOXP3+ density in PT areas, nor CD8+/PD-1+ density in either IT, PT nor NT areas with either RFS or OS (p>0.05). Multivariate Cox regression analyses of RFS confirmed IT CD4+/FOXP3+ density to predict for shorter RFS (HR 3.5, 95% CI 1.1 to 10.8, p=0.028) following adjustment for TNM stage, Child-Pugh class and median AFP levels (online supplemental table 3). Neither characteristics of the IT nor NT T-cell infiltrate were associated with the presence of necrosis post-TACE (online supplemental figure 2).
Figure 3

Kaplan-Meier curves illustrating the relationship between characteristics of the T-cell infiltrate found differentially regulated in association with TACE and recurrence-free survival of patients with HCC. IT and CD4+/FOXP3+ and NT CD4+/FOXP3+ but not IT CD8+/PD-1+ T-cell density were significantly associated associated with RFS. HCC, hepatocellular carcinoma; IT, intratumoral; NT, non-tumoral; PD-1, programmed-cell death 1; RFS, recurrence-free survival; TACE, trans-arterial chemoembolization.

Kaplan-Meier curves illustrating the relationship between characteristics of the T-cell infiltrate found differentially regulated in association with TACE and recurrence-free survival of patients with HCC. IT and CD4+/FOXP3+ and NT CD4+/FOXP3+ but not IT CD8+/PD-1+ T-cell density were significantly associated associated with RFS. HCC, hepatocellular carcinoma; IT, intratumoral; NT, non-tumoral; PD-1, programmed-cell death 1; RFS, recurrence-free survival; TACE, trans-arterial chemoembolization.

TACE pre-treatment is associated with distinctive phenotypic features of T-cell infiltrate but not clonality

To complement the multiplex-immunohistochemistry data showing depletion of CD4+/FOXP3+ cells in HCC samples pre-treated with TACE, we performed an exploratory targeted transcriptomic analysis of a smaller subset of 24 patient samples with viable tumor tissue. We used the nCounter PanCancer Immune Profiling panel in 12 T+ and 12 T− samples to provide mechanistic insight into the molecular drivers characterizing the tumor immune microenvironment in association with TACE response (online supplemental figure 3). As shown in figure 4, directed gene set analyses demonstrated increased expression of transcripts belonging to a number of functional domains including secretion of chemokines, regulation of immune cell function, complement cascade activation and production of interleukins and cytokines. We subsequently assessed differential expression of individual genes across T+/T− groups and demonstrated significant upregulation of IRF2, an interferon-regulated transcription factor acting downstream of alpha and beta interferons in T+ (figure 4B). We next evaluated whether TACE pre-treatment was associated with differential immunohistochemical expression of a panel of co-inhibitory signals in the same sample group. As shown in online supplemental figure 4, there was no difference in the expression of co-inhibitory proteins including PD-L1, IDO-1, Lag-3, Tim-3 or CTLA-4, nor differential distribution of CD163 cells intratumorally or peritumorally. Lastly, we evaluated whether TACE pre-treatment might influence measures of T-cell clonality by high-resolution TCR-beta chain sequencing using the ImmunoSEQ assay. As shown in figure 4, we found no evidence for an association between prior treatment with TACE and T-cell clonality within the intratumoral infiltrate as measured by a number of reproducible readouts including productive clonality, productive entropy and evaluation of the most frequently identified clonotypes (top, top 10 and top 100) across sample groups.
Figure 4

Targeted transcriptomic analysis of tumorous HCC tissue (n=24) using Nanostring PanCancer Immune profiling illustrates the differential regulation of 11 gene expression signatures on the basis of TACE pre-treatment using directed gene set analysis (GSA) and confirms significant upregulation of IRS2 in TACE-pre-treated samples (Panel B). Panel C: histograms illustrating the distribution of productive clonality, productive entropy and number of most frequently identified clonotypes as assayed by deep sequencing of the TCR-beta chain. HCC, hepatocellular carcinoma; TACE, trans-arterial chemoembolization; TCR, T-cell receptor.

Targeted transcriptomic analysis of tumorous HCC tissue (n=24) using Nanostring PanCancer Immune profiling illustrates the differential regulation of 11 gene expression signatures on the basis of TACE pre-treatment using directed gene set analysis (GSA) and confirms significant upregulation of IRS2 in TACE-pre-treated samples (Panel B). Panel C: histograms illustrating the distribution of productive clonality, productive entropy and number of most frequently identified clonotypes as assayed by deep sequencing of the TCR-beta chain. HCC, hepatocellular carcinoma; TACE, trans-arterial chemoembolization; TCR, T-cell receptor.

Discussion

Immunogenic cell death (ICD) is a cell death modality characterized by elicitation of an immune response against dead cell antigens. The majority of anti-cancer therapeutic strategies such as chemotherapy36 or targeted therapy are inducers of apoptosis,37 a process that by definition is poorly immunogenic and may in some instances promote tolerogenic responses. There is long-standing evidence to suggest that local ablative therapy induces T-cell responses against tumor as well as recall antigens in HCC,21 however these are insufficient to induce protective immunity against disease relapse. Limited but compelling evidence suggests the presence of immune-exhausted, antigen-specific CD8+ T-cell responses in intratumoral and peri-tumoral infiltrating lymphocytes in HCC,38 and that relative abundance of tumour-associated antigen responses is higher in patients pre-treated with TACE. However, the relative contribution of regulatory T-cells in shaping the phenotypic characteristics of such heavily immune-exhausted effector response has not been fully appreciated. Our study on retrospective archival samples of HCC shows that patients treated with prior TACE are characterized by lower proportion of cytotoxic T-cell infiltrate, as evidenced by reduced CD8+ cell density in TACE-pretreated patients. Phenotype studies of the cytotoxic T-cell branch showed a reduction in immune-exhausted CD8+/PD-1+ populations within the tumor and in the surrounding cirrhotic parenchyma compared with TACE-untreated controls, a population linked with resistance to immunotherapy in HCC.39 In addition, TACE pre-treatment is associated with lower regulatory T-cell density within the tumor. Interestingly, patients with lower intratumoral CD4+/FOXP3+ cells had a significantly lower risk of relapse following radical therapy for HCC, providing an important link in the interplay between TACE-associated reduction in the regulatory infiltrate and long-term prognosis of these patients. These results trace an interesting parallel with studies of ICD in other malignancies, where density of T-regs and exhausted cytotoxic lymphocytes measured in situ have been demonstrated as strong prognostic factors for response to anti-cancer therapy.40 In attempting to provide better functional insight to the differences in T-cell infiltration observed in our in situ profiling experiments, we used high throughput sequencing technologies to verify whether prior treatment with TACE was associated with broad differences in gene expression within the tumour microenvironment (TME) or diversity in T-cell clonality. High-resolution T-cell receptor beta chain sequencing revealed no evidence of a difference in T-cell clonality in T+ versus T− samples using multiple readouts reflecting the diversity of T-cell receptor V–D–J sequence rearrangements within the intratumoral infiltrate. This is an important translational finding, in view of the importance of T-cell clonality as a mechanism underscoring the efficacy of cancer immunotherapy across indications.41 On the other hand, transcriptomic analysis showed evidence of a more intensely inflamed TME in TACE-pre-treated samples, as demonstrated by the significant upregulation of a number of pro-inflammatory gene signatures in T+ compared with to T−. Candidate gene analysis revealed IRF2, a transcriptional repressor of PD-L1 and active regulator of a number of components of the Major Histocompatibility Complex-I pathway,42 to be enriched in T+ samples. Because IRF2 loss leads to the positive regulation of co-inhibitory signals, we performed targeted IHC experiments on the same subset of T+/T− samples to verify the differential expression of a panel of actionable drivers of T-cell exhaustion alongside CD163 a marker identifying M2-polarized macrophage, an abundant myeloid component within the HCC TME.43 Interestingly, we found no difference in the expression of any of the assayed co-inhibitory signals in relationship with TACE pre-treatment, a finding that leads us to postulate the independence of these pathways from IRF2-mediated transcriptional regulation: a point that should be explored in future mechanistic studies. Recent evidence in KRAS-mutant colorectal cancer models, a notoriously immunotherapy-resistant tumor, suggests IRF2 to downregulate chemoattraction of myeloid suppressive cells, underscoring the multifaceted role of this transcription factor in regulating anti-cancer immunity beyond T-cell biology.44 Taken together, our study provides important evidence to suggest that TACE pre-treatment may be characterized by profound and prognostically important changes in the functional characteristics of the immune cell infiltrate. These findings are of key translational importance, as they provide a rationale for the evaluation of ICIs alongside TACE. This is an area of active investigation, where combinations of PD-1/PD-L1 inhibitors with either CTLA-4 or anti-vascular agents are being pursued in absence of a strong immunologic rationale and simply based on evidence of efficacy in advanced disease. While early-phase studies of locally ablative therapies in combination with CTLA-4 antagonist have shown evidence of CD8+ T cell enrichment in paired pre/post-treatment biopsies,45 the modest effect of PD-1 and CTLA-4 inhibitors as a monotherapy in improving outcome of patients with advanced HCC casts legitimate doubts as to their potential to improve survival in intermediate-stage disease. Our study provides renovated emphasis on strategies to deplete T-reg cells and control of T-reg cell functions to increase antitumor immune responses in the context of TACE.46 Interestingly, VEGF inhibition can reduce the differentiation of T-regs47 and unsurprisingly, combination of PD-L1 inhibitors with bevacizumab has shown evidence of enhanced activity in advanced HCC compared with PD-1 monotherapy.17 A number of approaches are being tested to improve selectivity of immune-based interventions towards T-reg depletion or functional modulation: our result provide a rational basis for their development in combination with TACE.48 We acknowledge the retrospective, case–control study design as an important limitation to our observation. Unfortunately, none of the patients on this study had pre-TACE tumor biopsies available for analyses. In clinical practice, tumor biopsies are in fact very rarely performed in patients amenable to radical therapies if they satisfy non-invasive diagnostic criteria.3 In our participating centers, pre-treatment biopsies are generally not performed in patients who are candidates for resection or liver transplantation due to the potential risk of seeding.49 Another important limitation is the lack of standardization in terms of interval from TACE to surgery as well as in the number of TACE procedures performed, factors that we could not control for given the retrospective and observational nature of our study. Patients in the T+ group had also higher TNM stage. This is perhaps unsurprising given the predominant indication for TACE in this population was downstaging and small tumors would have been more likely to undergo upfront resection or transplantation. Standardization of times between TACE to surgery, although scientifically desirable, would be impossible to achieve even in the context of a prospective study given that time from downstaging/bridging TACE to liver transplantation is dependent on donor organ availability and cannot be controlled for. Longitudinal monitoring of T-cell characteristics pre-TACE and post-TACE at pre-defined intervals was only prospectively feasible in a study of subtotal embolization or ablation: procedures that are therapeutically suboptimal and may not reflect the full extent of immune activation within the tumor microenvironment.45 In our study, we concentrated immune phenotyping analyses on restricted T-cell populations that are functionally related to the mechanism of action of ICIs. Other adaptive and innate mechanisms of immune response may be involved and underscore the efficacy of TACE. Prospective studies on fresh frozen samples may shed more light on the role of tumor and host determinants of immune-exclusion using multi-omics technologies.50 Lastly, it should be acknowledged that patients evaluated in this study were surgical candidates mostly within BCLC A-stage criteria and that TACE was performed as bridging or downstaging therapy prior to radical approaches. Therefore, caution should be made in extrapolating our results to BCLC-B HCC patients who routinely receive TACE as a palliative rather than a downstaging oncological therapy and that are at the focus of clinical trials. The immune regulation of the microenvironment after TACE may in fact be different as a result of advancing stage of the disease and ongoing clinical trials of TACE/immunotherapy combinations will define whether immunotherapy exerts truly synergistic effects in combination with TACE. In spite of the acknowledged limitations, this is the first study to comprehensively evaluate the influence of TACE in the TME from resected specimens. Demonstration of the key role of regulatory T-cell responses should prioritize targeting of negative regulators of anti-cancer immunity alongside TACE, with a particular emphasis of T-reg targeting, in an attempt to improve response and survival following loco-regional therapies for HCC.
  48 in total

1.  Phenotype and genotype of interfollicular large B cells, a subpopulation of lymphocytes often with dendritic morphology.

Authors:  Teresa Marafioti; Margaret Jones; Fabio Facchetti; Tim C Diss; Ming-Qing Du; Peter G Isaacson; Michela Pozzobon; Stefano A Pileri; Amanda J Strickson; Soo-Yong Tan; Fiona Watkins; David Y Mason
Journal:  Blood       Date:  2003-06-26       Impact factor: 22.113

2.  Tremelimumab in combination with ablation in patients with advanced hepatocellular carcinoma.

Authors:  Austin G Duffy; Susanna V Ulahannan; Oxana Makorova-Rusher; Osama Rahma; Heiner Wedemeyer; Drew Pratt; Jeremy L Davis; Marybeth S Hughes; Theo Heller; Mei ElGindi; Ashish Uppala; Firouzeh Korangy; David E Kleiner; William D Figg; David Venzon; Seth M Steinberg; Aradhana M Venkatesan; Venkatesh Krishnasamy; Nadine Abi-Jaoudeh; Elliot Levy; Brad J Wood; Tim F Greten
Journal:  J Hepatol       Date:  2016-11-02       Impact factor: 25.083

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

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

Review 4.  Enhancing cancer immunotherapy using antiangiogenics: opportunities and challenges.

Authors:  Dai Fukumura; Jonas Kloepper; Zohreh Amoozgar; Dan G Duda; Rakesh K Jain
Journal:  Nat Rev Clin Oncol       Date:  2018-03-06       Impact factor: 66.675

5.  Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial.

Authors:  Anthony B El-Khoueiry; Bruno Sangro; Thomas Yau; Todd S Crocenzi; Masatoshi Kudo; Chiun Hsu; Tae-You Kim; Su-Pin Choo; Jörg Trojan; Theodore H Welling; Tim Meyer; Yoon-Koo Kang; Winnie Yeo; Akhil Chopra; Jeffrey Anderson; Christine Dela Cruz; Lixin Lang; Jaclyn Neely; Hao Tang; Homa B Dastani; Ignacio Melero
Journal:  Lancet       Date:  2017-04-20       Impact factor: 79.321

6.  Programmed Cell Death Ligand Expression Drives Immune Tolerogenesis across the Diverse Subtypes of Neuroendocrine Tumours.

Authors:  David J Pinato; Anu Vallipuram; Joanne S Evans; Clement Wong; Hua Zhang; Matthew Brown; Roberto E Dina; Pritesh Trivedi; Ayse U Akarca; Teresa Marafioti; Francesco A Mauri; Rohini Sharma
Journal:  Neuroendocrinology       Date:  2020-02-25       Impact factor: 4.914

Review 7.  Systematic review of randomized trials for unresectable hepatocellular carcinoma: Chemoembolization improves survival.

Authors:  Josep M Llovet; Jordi Bruix
Journal:  Hepatology       Date:  2003-02       Impact factor: 17.425

8.  Immunodominance and functional alterations of tumor-associated antigen-specific CD8+ T-cell responses in hepatocellular carcinoma.

Authors:  Tobias Flecken; Nathalie Schmidt; Sandra Hild; Emma Gostick; Oliver Drognitz; Robert Zeiser; Peter Schemmer; Helge Bruns; Thomas Eiermann; David A Price; Hubert E Blum; Christoph Neumann-Haefelin; Robert Thimme
Journal:  Hepatology       Date:  2014-02-20       Impact factor: 17.425

Review 9.  Regulatory T (Treg) cells in cancer: Can Treg cells be a new therapeutic target?

Authors:  Yoshihiro Ohue; Hiroyoshi Nishikawa
Journal:  Cancer Sci       Date:  2019-06-18       Impact factor: 6.716

10.  NASH limits anti-tumour surveillance in immunotherapy-treated HCC.

Authors:  Dominik Pfister; Nicolás Gonzalo Núñez; Roser Pinyol; Olivier Govaere; Matthias Pinter; Marta Szydlowska; Revant Gupta; Mengjie Qiu; Aleksandra Deczkowska; Assaf Weiner; Florian Müller; Ankit Sinha; Ekaterina Friebel; Thomas Engleitner; Daniela Lenggenhager; Anja Moncsek; Danijela Heide; Kristin Stirm; Jan Kosla; Eleni Kotsiliti; Valentina Leone; Michael Dudek; Suhail Yousuf; Donato Inverso; Indrabahadur Singh; Ana Teijeiro; Florian Castet; Carla Montironi; Philipp K Haber; Dina Tiniakos; Pierre Bedossa; Simon Cockell; Ramy Younes; Michele Vacca; Fabio Marra; Jörn M Schattenberg; Michael Allison; Elisabetta Bugianesi; Vlad Ratziu; Tiziana Pressiani; Antonio D'Alessio; Nicola Personeni; Lorenza Rimassa; Ann K Daly; Bernhard Scheiner; Katharina Pomej; Martha M Kirstein; Arndt Vogel; Markus Peck-Radosavljevic; Florian Hucke; Fabian Finkelmeier; Oliver Waidmann; Jörg Trojan; Kornelius Schulze; Henning Wege; Sandra Koch; Arndt Weinmann; Marco Bueter; Fabian Rössler; Alexander Siebenhüner; Sara De Dosso; Jan-Philipp Mallm; Viktor Umansky; Manfred Jugold; Tom Luedde; Andrea Schietinger; Peter Schirmacher; Brinda Emu; Hellmut G Augustin; Adrian Billeter; Beat Müller-Stich; Hiroto Kikuchi; Dan G Duda; Fabian Kütting; Dirk-Thomas Waldschmidt; Matthias Philip Ebert; Nuh Rahbari; Henrik E Mei; Axel Ronald Schulz; Marc Ringelhan; Nisar Malek; Stephan Spahn; Michael Bitzer; Marina Ruiz de Galarreta; Amaia Lujambio; Jean-Francois Dufour; Thomas U Marron; Ahmed Kaseb; Masatoshi Kudo; Yi-Hsiang Huang; Nabil Djouder; Katharina Wolter; Lars Zender; Parice N Marche; Thomas Decaens; David J Pinato; Roland Rad; Joachim C Mertens; Achim Weber; Kristian Unger; Felix Meissner; Susanne Roth; Zuzana Macek Jilkova; Manfred Claassen; Quentin M Anstee; Ido Amit; Percy Knolle; Burkhard Becher; Josep M Llovet; Mathias Heikenwalder
Journal:  Nature       Date:  2021-03-24       Impact factor: 49.962

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  12 in total

1.  Four-Pyroptosis Gene-Based Nomogram as a Novel Strategy for Predicting the Effect of Immunotherapy in Hepatocellular Carcinoma.

Authors:  Ning Li; Shao-Hua Ren; Ya-Fei Qin; Bo Shao; Hong Qin; Zhaobo Wang; Hong-da Wang; Guang-Ming Li; Yang-Lin Zhu; Cheng-Lu Sun; Jing-Yi Zhang; Gang-Gang Shi; Xing-Wei An; Hao Wang
Journal:  Biomed Res Int       Date:  2022-06-22       Impact factor: 3.246

2.  One case of comprehensive treatment for advanced liver cancer followed up over three years.

Authors:  Hai-Yan Liang; Qi-Lian Liang; Man Chen; Zhen-Wei Wang; Jie Huang
Journal:  Arch Med Sci       Date:  2022-06-23       Impact factor: 3.707

Review 3.  Stereotactic body radiation therapy for hepatocellular carcinoma: From infancy to ongoing maturity.

Authors:  Shirley Lewis; Laura Dawson; Aisling Barry; Teodor Stanescu; Issa Mohamad; Ali Hosni
Journal:  JHEP Rep       Date:  2022-05-14

4.  Integrated use of PD-1 inhibition and transarterial chemoembolization for hepatocellular carcinoma: evaluation of safety and efficacy in a retrospective, propensity score-matched study.

Authors:  Brett Marinelli; Edward Kim; Antonio D'Alessio; Mario Cedillo; Ishan Sinha; Neha Debnath; Masatoshi Kudo; Naoshi Nishida; Anwaar Saeed; Hannah Hildebrand; Ahmed O Kaseb; Yehia I Abugabal; Anjana Pillai; Yi-Hsiang Huang; Uqba Khan; Mahvish Muzaffar; Abdul Rafeh Naqash; Rahul Patel; Aaron Fischman; Vivian Bishay; Dominik Bettinger; Max Sung; Celina Ang; Myron Schwartz; David J Pinato; Thomas Marron
Journal:  J Immunother Cancer       Date:  2022-06       Impact factor: 12.469

5.  Distinct Gene Expression Profiles in Viable Hepatocellular Carcinoma Treated With Liver-Directed Therapy.

Authors:  Kelley G Núñez; Tyler Sandow; Meredith A Lakey; Daniel Fort; Ari J Cohen; Paul T Thevenot
Journal:  Front Oncol       Date:  2022-06-17       Impact factor: 5.738

6.  Efficacy and safety of camrelizumab plus transarterial chemoembolization in intermediate to advanced hepatocellular carcinoma patients: A prospective, multi-center, real-world study.

Authors:  Ran You; Qingyu Xu; Qi Wang; Qingqiao Zhang; Weizhong Zhou; Chi Cao; Xiangzhong Huang; Honghai Ji; Penghua Lv; Hao Jiang; You Lu; Yong Jin; Yongjun Li; Long Cheng; Weidong Wang; Hao Xu; Xiaoli Zhu; Guowen Yin
Journal:  Front Oncol       Date:  2022-08-02       Impact factor: 5.738

Review 7.  Regulatory T cells and their associated factors in hepatocellular carcinoma development and therapy.

Authors:  Chun-Ye Zhang; Shuai Liu; Ming Yang
Journal:  World J Gastroenterol       Date:  2022-07-21       Impact factor: 5.374

Review 8.  Combination approaches in hepatocellular carcinoma: How systemic treatment can benefit candidates to locoregional modalities.

Authors:  Leonardo Gomes da Fonseca; Raphael L C Araujo
Journal:  World J Gastroenterol       Date:  2022-07-28       Impact factor: 5.374

9.  Immunotherapy and Transarterial therapy of HCC: What the interventional radiologist needs to know about the changing landscape of HCC treatment?

Authors:  Jonathan Tibballs; Warren Clements
Journal:  J Med Imaging Radiat Oncol       Date:  2022-03-31       Impact factor: 1.667

10.  Establishment of Nomogram Model for Minimally Invasive Treatment of Small Hepatocellular Carcinoma Based on CD8+T Cell Counts.

Authors:  Qing Pu; Lihua Yu; Xinhui Wang; Huiwen Yan; Yuqing Xie; Juan Du; Zhiyun Yang
Journal:  Onco Targets Ther       Date:  2022-08-31       Impact factor: 4.345

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