Skip to main content
Nature Communications logoLink to Nature Communications
. 2022 Mar 16;13:1372. doi: 10.1038/s41467-022-29012-1

Characterisation and induction of tissue-resident gamma delta T-cells to target hepatocellular carcinoma

Nekisa Zakeri 1, Andrew Hall 2, Leo Swadling 1, Laura J Pallett 1, Nathalie M Schmidt 1, Mariana O Diniz 1, Stephanie Kucykowicz 1, Oliver E Amin 1, Amir Gander 3, Massimo Pinzani 2, Brian R Davidson 3, Alberto Quaglia 4, Mala K Maini 1,
PMCID: PMC8927126  PMID: 35296658

Abstract

Immunotherapy is now the standard of care for advanced hepatocellular carcinoma (HCC), yet many patients fail to respond. A major unmet goal is the boosting of T-cells with both strong HCC reactivity and the protective advantages of tissue-resident memory T-cells (TRM). Here, we show that higher intratumoural frequencies of γδ T-cells, which have potential for HLA-unrestricted tumour reactivity, associate with enhanced HCC patient survival. We demonstrate that γδ T-cells exhibit bona fide tissue-residency in human liver and HCC, with γδTRM showing no egress from hepatic vasculature, persistence for >10 years and superior anti-tumour cytokine production. The Vγ9Vδ2 T-cell subset is selectively depleted in HCC but can efficiently target HCC cell lines sensitised to accumulate isopentenyl-pyrophosphate by the aminobisphosphonate Zoledronic acid. Aminobisphosphonate-based expansion of peripheral Vγ9Vδ2 T-cells recapitulates a TRM phenotype and boosts cytotoxic potential. Thus, our data suggest more universally effective HCC immunotherapy may be achieved by combining aminobisphosphonates to induce Vγ9Vδ2TRM capable of replenishing the depleted pool, with additional intratumoural delivery to sensitise HCC to Vγ9Vδ2TRM-based targeting.

Subject terms: Hepatocellular carcinoma, Immunosurveillance, Gammadelta T cells, Immunotherapy


Many cancer immune therapy approaches depend on an HLA-restricted neoantigen-specific T cell response. AUs show here that Zoledronic acid can expand, and induce tumour recognition by, a population of tissue resident memory gamma-delta T cells associated with an efficient anti-tumour immune response in hepatocellular carcinoma.

Introduction

Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related death worldwide1,2, often presenting at an advanced stage when treatment options are limited. Immunotherapy aims to induce T-cells with efficient tumour targeting and durable immune surveillance capacity. The potential for immunotherapy to reduce the high mortality of HCC has been exemplified by the response to the combination of anti-programmed death ligand-1 (PD-L1) and anti-vascular endothelial growth factor (VEGF), which has now become standard-of-care in advanced disease; however, this combination still only achieves responses in around one third of patients3,4, underscoring the urgent need for additional immunotherapeutic approaches that can deliver more consistent and sustained responses. A major reason for the failure of existing checkpoint inhibitors is the scarcity of T-cells capable of recognising expressed tumour antigens in many individuals, such that insufficient tumour-specific responses are available for boosting57. A further limitation of existing immunotherapies is that endogenously boosted or adoptively transferred T-cells may fail to infiltrate and survive within the tumour and/or maintain functionality in this immunosuppressive environment2,4,8. Here, we present data supporting a novel strategy for expanding γδ T-cells with the potential to lyse HCC and to persist long-term, retaining functionality within the tumour niche.

γδ T-cells can play a critical role in tumour immunosurveillance, exemplified by the favourable prognostic signature of tumour-infiltrating γδ T-cells across many human cancer types913, and an increased susceptibility to cancer in γδ T-cell deficient mice1416. γδ T-cells are attractive effector cells for cancer immunotherapy, due to their MHC-unrestricted antigen recognition and lack of dependence on cancer neo-antigens17,18. The main subtypes in humans, Vδ1 and Vδ2 T-cells, both recognise stress-induced molecules including MHC-Class 1 chain-related protein A/B and UL16-binding proteins, expressed at variable levels on tumour cells11,1720. Additionally, the predominant γδ T-cell subset in blood, Vγ9Vδ2 T-cells, can easily be expanded on a clinical scale for adoptive cell transfer to target phosphorylated intermediates of the isoprenoid biosynthesis pathway (isopentenyl pyrophosphate, IPP), upregulated in transformed cells and presented via butyrophilin 2A1 and 3A1 transmembrane proteins20,21. Early phase clinical trials have demonstrated adoptive cell transfer of in vitro expanded blood Vγ9Vδ2 T-cells to be safe and well-tolerated in several cancer types18,2224, but their overall efficacy remains low.

Accumulating evidence suggests that exploiting features of tissue-resident memory T-cells (TRM) may help to uncover novel strategies for more effective cancer immunotherapies2527. TRM are phenotypically and functionally distinct sentinels in the liver, capable of long-lived retention, and well positioned for rapid and potent front-line immunosurveillance2830. αβ TRM are marked by the expression of the tissue retention molecules CD69 (a negative regulator of sphingosine-1-phosphate-mediated T cell egress), and the integrins CD103 (binding E-cadherin on epithelial cells) and/or CD49a (binding collagen IV)2527. The control of tumours has been shown to be highly dependent on αβ TRM in murine models and human studies of various cancers including HCC27,3140, but the contribution of γδ TRM has not yet been investigated in HCC. Although most studies of T-cell tissue-residence have focused on αβCD8+, the Vδ1 subset of γδ T-cells are generally considered to be tissue-resident, supported by recent data confirming expression of tissue retention/homing markers and distinct T cell receptor (TCR) clones by Vδ1 T-cells in human liver41. By contrast, Vγ9Vδ2 T-cells are classically regarded as the circulating γδ T-cell subtype, and have yet to be shown to be capable of acquiring a functionally intact TRM phenotype in the liver or HCC.

In this study, we find that γδ T-cell infiltration of HCC associates with a favourable prognosis, assessed both by tumour size and patient survival. We demonstrate that Vγ9Vδ2 T-cells are selectively reduced in frequency in the blood, livers, and tumours of patients with HCC, but display the capacity to acquire an intratumoural γδ TRM (CD69+CD49a+ or CD69+CD103+) phenotype. Intratumoural γδ T-cells with a TRM phenotype show enhanced capacity to maintain the production of cytokines favouring their survival and their anti-tumour potential, in the liver and within HCC tumour-infiltrating lymphocytes (TIL). The bona fide nature of the γδ TRM phenotype is confirmed by a lack of hepatic vasculature egress and by persistence of CD69+CD49a+ γδ TRM progeny for more than a decade in human leukocyte antigen (HLA)-mismatched liver allografts. Therefore, we develop a rationale for use of the aminobisphosphonate Zoledronic acid (ZOL) to optimise the anti-tumour efficacy of Vγ9Vδ2 T-cells that can become locally resident; we show that its local application to HCC cell lines allows IPP accumulation for specific lysis by liver/HCC-infiltrating Vγ9Vδ2 T-cells, whilst its use for in vitro clinical-scale expansion of peripheral Vγ9Vδ2 T-cells induces a liver-homing TRM profile.

Results

Compartmentalisation of Vδ1 and Vδ2 T-cells with a tissue-resident phenotype in human liver

To examine the potential for the two major subsets of human γδ T-cells, Vδ1 and Vδ2, to acquire tissue-residence, we first compared their relative abundance in human liver (tumour-free liver tissue from surgical resections or explants) to paired peripheral blood samples (gating strategy Supplementary Fig. 1a). Vδ1 T-cells are regarded as prototypic tissue γδ T-cells and were accordingly significantly enriched in the liver compared to their very low frequencies in matched blood samples (Supplementary Fig. 1b). Vδ2 T-cells, whilst more frequent in blood than Vδ1, were also detectable in the liver, comprising up to 5% of intrahepatic CD45+ leukocytes (Supplementary Fig 1b). Intrahepatic Vδ2 T-cells consisted primarily of Vγ9+Vδ2 T-cells (henceforth referred to as Vγ9Vδ2), with a very low frequency of the recently described Vγ9Vδ2 sub-population42 (Supplementary Fig. 1c).

We next investigated if Vδ1 and Vγ9Vδ2 T-cells could express a tissue-resident phenotype in human liver, assessing the prototypic markers CD69, CD103, and CD49a. We found that subpopulations of both Vδ1 and Vγ9Vδ2 T-cells isolated from human liver expressed combinations of tissue-retention markers characteristic of TRM, that could not be detected in paired peripheral blood (Fig. 1a, b). Vδ1 and Vγ9Vδ2 T-cells co-expressing the tissue retention molecules CD69 with CD103 or CD49a were compartmentalised in the liver and excluded from blood (Fig. 1a, b). These tissue-resident γδ T-cell subsets were primarily composed of CD27CD45RA effector memory cells (Supplementary Fig. 1d), and consisted of distinct CD69+CD103+ or CD69+CD49a+ subsets, with a smaller sub-population expressing all three tissue-retention markers (Fig. 1c). CD69+CD49a+ co-expression was more prevalent than CD69+CD103+ on intrahepatic Vδ1 and Vγ9Vδ2 T-cells (Fig. 1c). The proportion of intrahepatic T-cells expressing CD69+CD49a+ showed a strikingly similar range within the cohort for Vδ1, Vγ9Vδ2, and αβCD8+ T-cells (mean 22.2 ± 18.6%, 21.1 ± 15.2%, 20.1 ± 12.3%, respectively, Supplementary Fig. 1e), with a significant correlation between expression levels on Vγ9Vδ2 and αβCD8+ T-cells within individuals (Supplementary Fig. 1e), suggesting shared determinants of these residency markers. The percentage of CD69+CD103+ expression on intrahepatic Vδ1 and Vγ9Vδ2 T-cells demonstrated a weak inverse correlation with patient age (Supplementary Fig. 1f). No sex related differences in Vδ1 and Vγ9Vδ2 TRM expression were observed (Supplementary Fig. 1f).

Fig. 1. Compartmentalisation of Vδ1 and Vɣ9Vδ2 T-cells with a tissue-resident phenotype in human liver.

Fig. 1

a Representative flow cytometry plots and summary data of CD69+CD103+ or CD69+CD49a+ co-expression on Vδ1 and Vɣ9Vδ2 T-cells from intrahepatic lymphocytes (IHL) of tumour-free liver tissue compared to paired peripheral blood mononuclear cells (PBMC) (n = 35–44; p < 0.0001). b t-distributed stochastic neighbour embedding (t-SNE) was applied to flow cytometry expression data (concatenated PBMC n = 3 and IHL n = 5) of Vδ1 (blue) and Vɣ9Vδ2 (red) T cells (top row); plots coloured by CD69, CD49a and CD103 expression on Vδ1 T-cells (middle row) and Vɣ9Vδ2 T-cells (bottom row). c Frequencies of CD69+CD103+, CD69+CD49a+ and CD69+CD49a+CD103+ intrahepatic Vδ1 and Vɣ9Vδ2 T-cells (n = 40; Vδ1 p = 0.02, p = 0.004, p < 0.0001; Vɣ9Vδ2 p = 0.02, p = 0.0008; p < 0.0001). d Frequencies of CXCR6-expressing CD69+CD103+ or CD69+CD49a+ Vδ1 and Vɣ9Vδ2 TRM (n = 17; Vδ1 p < 0.0001; Vɣ9Vδ2 p = 0.002, p = 0.02). e Frequencies of CXCR3-expressing CD69+CD103+ (n = 14) or CD69+CD49a+ (n = 9–11) Vδ1 and Vɣ9 Vδ2 TRM (Vδ1 p = 0.001, p = 0.004; Vɣ9Vδ2 p = 0.008, p = 0.02). f Frequencies of Vδ1 and Vɣ9Vδ2 TRM in IHL from healthy liver tissue (disease-free margins of CRCLM) (n = 24) compared to healthy donor liver transplant perfusates (n = 17, Vδ1 p < 0.0001, p = 0.03; Vɣ9Vδ2 p < 0.001, p = 0.0096). Each symbol represents a study participant, with error bars showing the mean ± SEM (a, cf); two-tailed p-values were determined using Wilcoxon matched-pairs signed rank test (a, d, e), Kruskal–Wallis test (ANOVA) followed by Dunn’s post-hoc multiple comparisons test (c), Mann–Whitney test (f). *p < 0.05; **p < 0.01; ***p < 0.001, ****p < 0.0001.

To further assess Vδ1 and Vγ9Vδ2 T-cells tissue-homing capability, we measured expression of the prototypic liver chemokine receptors CXCR6 and CXCR3. On ex vivo staining of bulk intrahepatic lymphocytes (IHL), we found that both Vδ1 and Vγ9Vδ2 TRM (CD69+CD49a+ or CD69+CD103+) showed increased expression of CXCR6 and CXCR3 in comparison to their non-TRM counterparts (CD69CD103 or CD69CD49a; Fig. 1d, e). Ligands for these chemokine receptors are expressed by hepatic sinusoidal endothelium, promoting homing, tethering and/or transmigration into the parenchyma43,44. Consistent with firm tethering or transmigration beyond the vasculature, we observed that Vδ1 and Vγ9Vδ2 TRM were less likely to be flushed out of the liver in perfusates from healthy donor liver allografts than to be isolated from liver tissue digests (healthy background liver from resected colorectal cancer liver metastases, CRCLM) (Fig. 1f). However, the isolation of a clear population of CD49a expressing Vδ1 and Vγ9Vδ2 T-cells from perfusates (Fig. 1f), albeit at a lower frequency than in liver tissue, is in line with the demonstration that αβCD8+ TRM can patrol the liver sinusoidal vasculature28,45.

In keeping with classical features of αβ T-cell tissue-residency, intrahepatic Vδ1 and Vγ9Vδ2 TRM showed reduced expression of the endothelial homing receptor CX3CR1, and lacked expression of the lymph node homing receptor CD62L (L-selectin) (Supplementary Fig. 1g, h). In addition, γδ TRM demonstrated a transcription factor profile characteristic of αβ TRM with higher Blimp-1 and lower Eomes expression than their non-TRM counterparts28,46 (Supplementary Fig. 1i). Vδ1 and Vγ9Vδ2 TRM also had a trend towards higher expression of Tcf1 (Supplementary Fig. 1i), a transcription factor conferring stem cell-like longevity on T-cells47.

Long-lived hepatic retention and replenishment of Vδ1 and Vγ9Vδ2 TRM

The absence of Vδ1 and Vγ9Vδ2 T-cells with a tissue-resident phenotype (CD69+CD103+ or CD69+CD49a+) in peripheral venous blood points to an inability of these cells to egress from the liver. However, it is difficult to definitively conclude from this that they are completely compartmentalised in the liver, since γδ TRM leaving the liver vasculature at low frequencies would be difficult to detect following dilution in the peripheral circulation. We, therefore, sampled hepatic venous blood (draining directly from the liver) and portal venous blood (entering the liver), obtained from patients with cirrhosis undergoing transjugular intrahepatic portosystemic shunt procedures, in order to examine for potential low-level egress of γδ TRM from the liver or gut/spleen, respectively. γδ T-cell frequency appeared higher in hepatic venous blood compared to portal venous blood (Fig. 2a). γδ T-cells expressing CD69+CD103+ or CD69+CD49a+ could not be detected in hepatic venous blood or portal venous blood (Fig. 2b), providing further evidence to support the tissue-compartmentalisation of intrahepatic Vδ1 and Vγ9Vδ2 TRM subsets, with no low-level egress from the liver, gut or spleen.

Fig. 2. Long-lived hepatic retention and replenishment of Vδ1 and Vɣ9Vδ2-TRM.

Fig. 2

a Representative flow cytometry plot and summary data of total γδ T-cells (as percentage of total CD3+ T-cells) in peripheral, hepatic and portal venous blood obtained from cirrhotic patients undergoing transjugular intrahepatic portosystemic shunt procedures (n = 4, p = 0.04). b Representative flow cytometry plot and summary data demonstrating absence of CD69+CD49a+ or CD69+CD103+ γδTRM in peripheral, hepatic, portal venous blood (n = 4 matched samples). c Flow cytometry plot for the identification of donor human leukocyte antigen (HLA) A2+ and recipient HLA A2 derived γδ T-cells from two explants obtained 7 years or 11 years following HLA-mismatched liver transplantation. Vδ1 and Vɣ9Vδ2 T-cell frequencies within recipient-derived and donor-derived γδ T-cell subsets. d CD69+CD49a+ and CD69+CD103+ expression on donor-derived (HLA A2+) and recipient-derived (HLA A2) γδ T-cell subsets (n = 2). Error bars, mean ± SEM (b). Two-tailed p-values were determined by Friedman test with Dunn’s post-hoc test for multiple comparisons (a, b).

In addition to tissue compartmentalisation, another feature of bona fide TRM is their long-lived retention within organs, critical for sustained immune surveillance of cancer. To investigate whether Vδ1 and Vγ9Vδ2 T-cells with a tissue-resident phenotype had this capacity, we tracked their longevity using donor and recipient HLA-mismatched liver allografts. Utilising HLA-specific monoclonal antibody staining, we were able to differentiate between the original donor-derived (liver-resident) γδ T-cells and the recipient-derived (blood-derived) γδ T-cells in two liver allografts, explanted 7 and 11 years following their initial transplantation (Fig. 2c, Supplementary Fig. 2a, patient characteristics in Supplementary Table 1). By both of the time points examined, the majority of the intrahepatic γδ T-cell population had been replaced with recipient-derived γδ T-cells (Fig. 2c). However, a small population of donor-derived γδ T-cells, constituting around 3% of the total intrahepatic γδ T-cell pool had persisted within the liver allografts, including in the explant obtained 11 years following transplantation (Fig. 2c). No donor-derived γδ T-cells were detected in the peripheral blood of the recipients, arguing against systemic chimerism accounting for intrahepatic persistence (Supplementary Fig. 2b). Of note, the proportion of Vδ1 and Vγ9Vδ2 T-cells was similar between the recipient-derived and donor-derived γδ T-cell populations, suggesting these equilibrate according to liver-specific factors (Fig. 2c).

The donor-derived intrahepatic γδ T-cell population persisting in liver allografts displayed a predominant CD69+CD49a+ phenotype, with little CD103 co-expression, indicating that CD49a expression, in particular, marked the subset of γδ T-cells capable of long-term retention and survival or renewal in the liver (pan-γδ in Fig. 2d, Vδ1 and Vγ9Vδ2 T-cell subsets in Supplementary Fig. 2c, d). Furthermore, the larger recipient-derived γδ T-cell fraction was capable of acquiring high CD69 expression, with a small proportion co-expressing CD49a or CD103 (Fig. 2d, Supplementary Fig. 2c, d). This demonstrates that recipient γδ T-cells infiltrating into the liver from the peripheral circulation were able to partially acquire a de novo TRM phenotype to replenish the intrahepatic γδ TRM cell pool.

Although limited by the scarce availability of these valuable samples, our data revealed the potential for a small population of long-lived or self-renewing CD69+CD49a+ γδ TRM to persist in the human liver for more than a decade, whilst being partially replenished from the peripheral circulation.

Distinct functional profile of hepatic γδ TRM

To further assess the suitability of liver γδ TRM for immunotherapeutic targeting, we assessed their functional potential by ex vivo analysis of freshly isolated IHL. Both Vδ1 and Vγ9Vδ2 TRM (CD69+CD49a+ or CD69+CD103+) tended to express higher levels of the T-cell activation marker HLA-DR than their non-resident counterparts (Fig. 3a, Supplementary Fig. 3a). However, Vδ1 and Vγ9Vδ2 TRM displayed markedly reduced cytotoxic potential, demonstrated by lower expression of the serine protease granzyme B on direct ex vivo staining (Fig. 3b, Supplementary Fig. 3b). By contrast, both Vδ1 and Vγ9Vδ2 TRM were significantly more capable of rapid production of the pro-survival cytokine IL-2 than their non-TRM counterparts, with a striking mean of 65% and 74% of Vδ1 and Vγ9Vδ2 TRM, respectively, producing IL-2 after just 4 h of stimulation (Fig. 3c, Supplementary Fig. 3c). The majority of Vδ1 and Vγ9Vδ2 TRM also produced the anti-tumour cytokine IFN-γ rapidly upon stimulation (Fig. 3d, Supplementary Fig. 3d). PD-1 expression was higher on Vδ1 and Vγ9Vδ2 TRM compared to their non-TRM counterparts ex vivo (Fig. 3e, Supplementary Fig. 3e); however, PD-1high Vδ1 and Vγ9Vδ2 T-cells maintained their capacity to produce IFN-γ upon stimulation (Fig. 3f), congruent with the finding that PD-1-expressing αβCD8+ TRM do not represent a functionally exhausted population28,35. Furthermore, no significant increase in intrahepatic Vγ9Vδ2 T-cell IFN-γ or Granzyme B expression was observed using anti-PD-L1 blockade in combination with γδ-TCR stimulation in vitro (Supplementary Fig. 3f).

Fig. 3. Distinct functional profile of hepatic γδTRM.

Fig. 3

a–e Representative flow cytometry plots and summary data of ex vivo functional profile of intrahepatic CD69+CD49a+ Vδ1 and Vγ9Vδ2 TRM compared to non-TRM (CD69CD49a) counterparts. a HLA-DR expression (n = 13; Vδ1 p = 0.008; Vγ9Vδ2 p = 0.03). b unstimulated Granzyme B expression (n = 17; Vδ1 p = 0.0005; Vγ9Vδ2 p = 0.0002). c IL-2 expression following 4 h PMA and Ionomycin stimulation (n = 10; Vδ1 p = 0.004; Vγ9Vδ2 p = 0.03). d IFN-γ expression after 4 h PMA and Ionomycin stimulation (n = 10; Vδ1 p = 0.01; Vγ9Vδ2 p = 0.02). e unstimulated programmed death-1 (PD-1) expression (n = 11; Vδ1 p = 0.007; Vγ9Vδ2 p = 0.008). f IFN-γ expression by PD-1high and PD-1low intrahepatic Vδ1 and Vγ9Vδ2 T-cells after 4 h PMA and Ionomycin stimulation (n = 8; p value non-significant). Each symbol represents a study participant, with bars showing the mean (af); two-tailed p-values were determined using Wilcoxon matched-pairs signed rank test (af). *p < 0.05; **p < 0.01; ***p < 0.001.

Taken together, assessing the functional potential of Vδ1 and Vγ9Vδ2 TRM isolated from the human liver directly ex vivo or after 4 h stimulation showed they are activated and skewed towards IL-2 and IFN-γ rather than cytotoxic effector function.

γδ T-cell counts in HCC associate with tumour size and patient survival

Having established a signature of γδ T-cells with classical tissue-residency features in human liver, we next investigated whether γδ T-cells could exert a role in HCC. First, we used immunostaining to compare the absolute numbers of γδ T-cells within HCC and paired background liver tissue from patients undergoing curative surgical resection (n = 28, patient characteristics, Supplementary Table 2). γδ T-cells could be visualised infiltrating HCC (Fig. 4a, Supplementary Fig. 4a) but their numbers were significantly reduced compared to paired tumour-free liver tissue (Fig. 4b). This trend was unchanged by the presence or absence of underlying cirrhosis (Supplementary Fig. 4b). The γδ/CD3+ T-cell ratio was similarly reduced within HCC, due to preservation of total CD3+ T-cell numbers between HCC and background liver tissue (Fig. 4b).

Fig. 4. γδ T-cell counts in HCC are associated with tumour size and patient survival.

Fig. 4

(ad) Immunohistochemistry staining of paired background liver and tumour tissue obtained from patients with hepatocellular carcinoma (HCC) undergoing surgical resection. Cell counts performed from five randomly selected high-power fields (x20 objective magnification) per sample (n = 28 paired samples). a Representative multispectral analysis with non-γδ CD3+ (green) and γδ+ (red) T-cells as pseudo-colourised images in liver and HCC tumoural tissue, replicated across five high-power (x20) fields per sample. b Absolute γδ T-cell and non-γδ CD3+ T-cell numbers (calculated per mm2) and γδ/CD3+ T-cell ratio in paired liver and HCC tumours (n = 28 paired samples; p < 0.0001, p = 0.0006). c Intratumoural γδ T-cell counts and non-γδ CD3+ T-cell counts (per mm2) in small HCC tumours with a maximum diameter of ≤3 cm compared to HCC tumours >3 cm in diameter (n = 28; p = 0.03). d HCC intratumoural γδ T-cell counts and non-γδ CD3+ T-cell counts (per mm2) according to 3-year patient survival outcomes (overall survival data available n = 27, 22/27 survived, 5/27 died; p = 0.048). Kaplan Meier graphs of overall survival (years post resection) split on the median intratumoural γδ T-cell (p = 0.009) or non-γδ CD3+ T-cell count from 27 HCC tumours. Two-tailed p-values were determined using Wilcoxon matched-pairs signed rank test test (b) or Mann–Whitney test (c, d), Kaplan Meier graphs with Log-rank test (d). Error bars represent mean ± SEM. ns Not significant; *p < 0.05; **p < 0.01; ***p < 0.001, ****p < 0.0001.

Importantly, higher intratumoural γδ T-cell numbers were associated with both smaller HCC tumour size at resection (maximum diameter ≤ 3 cm) (Fig. 4c), and enhanced 3-year overall patient survival following surgical resection (Fig. 4d). This finding was specific to intratumoural γδ T-cells, with no associations observed between total CD3+ T-cell or γδ T-cell numbers within background liver and HCC tumour size or 3-year overall patient survival (Fig. 4c, d, Supplementary Fig. 4c–e). Consistent with this, analysis of the Cancer Genome Atlas database using the Gene Expression Profiling Interactive Analysis 2 (GEPIA2) web server48, demonstrated a γδ-TCR gene signature (TRDC, TRGC1, TRGC2) to be significantly associated with overall survival in a larger cohort of HCC patients (n = 364), with higher Vγ9Vδ2 and non-Vγ9Vδ2 γδ-TCR gene expression signatures both associated with increased patient survival (Supplementary Fig. 4f, g)48,49.

Vγ9Vδ2 T-cells are selectively depleted, but can acquire tissue-residence, within HCC TILs

To further define the depletion of γδ T-cells within HCC, we quantified Vδ1 and Vγ9Vδ2 T-cell subsets in blood, tumour-free liver and tumour tissue from patients with HCC compared to colorectal cancer liver metastases (CRCLM), by flow cytometry (patient characteristics, Supplementary Tables 3 and 4). No significant differences in the frequencies of Vδ1 T-cells were seen, but Vγ9Vδ2 T-cells were significantly reduced in the blood, liver and tumour of HCC compared to CRCLM patients (Fig. 5a). The reduction of Vγ9Vδ2 T-cells in HCC was likely attributable to the background liver cirrhosis in these donors, since we found a similar depletion in cirrhotic livers without HCC (Supplementary Fig. 5a), supported by recent literature describing increased activation and subsequent apoptosis of liver sinusoidal Vγ9Vδ2 T-cells in cirrhosis50.

Fig. 5. Vγ9Vδ2 T-cells are selectively depleted, but can acquire tissue-residence, within HCC TILs.

Fig. 5

(ag) Flow cytometry analysis of paired peripheral blood mononuclear cells (PBMC), intrahepatic lymphocytes (IHL) from tumour-free liver tissue, and tumour-infiltrating lymphocytes (TIL) from patients undergoing surgical resection or liver transplantation for hepatocellular carcinoma (HCC) compared to patients undergoing surgical resection for colorectal cancer liver metastases (CRCLM). a Total frequencies of Vδ1 (above) and Vγ9Vδ2 (below) T-cells in PBMC, IHL and TILs of CRCLM (n = 23) compared to HCC (n = 26) (expressed as a percentage of total CD3+ T-cells; Vγ9Vδ2 PBMC p = 0.0007, IHL p = 0.0002, TIL p = 0.02). b Representative flow cytometry plot and summary data of CD27-CD45RA + terminally differentiated effector memory (TEMRA) Vδ1 and Vγ9Vδ2 T-cells in paired liver and HCC TILs (n = 10; IHL p = 0.002, TIL p = 0.001). c ex vivo HLA-DR (n = 12; IHL p = 0.02, TIL p = 0.05) and CD38 expression (n = 8; IHL p = 0.02) by Vδ1 and Vγ9Vδ2 T-cells within HCC IHL and TILs. d IFN-γ expression by Vδ1 and Vγ9Vδ2 T-cells within HCC IHL (n = 12) and TILs (n = 10) after 4 h PMA and Ionomycin stimulation (IHL p = 0.03). e Unstimulated Granzyme B expression by Vγ9Vδ2 T-cells in HCC IHL and TILs (n = 11; TIL p = 0.008). f CD69+CD49a+ expression on Vδ1 and Vγ9Vδ2 T-cells in HCC IHL (n = 23) and TILs (n = 21). g CD69+CD49a+ expression on Vγ9Vδ2 T-cells in HCC compared to CRCLM IHL (n = 22) and TILs (n = 13). Each symbol represents a study participant, error bars indicate mean ± SEM; two-tailed p-values were determined using Mann–Whitney test (a, g), or Wilcoxon paired test (bf). *p ≤ 0.05; **p < 0.01; ***p < 0.001.

Vδ1 T-cells had an increased proportion of terminally differentiated effector memory (TEMRA, CD27CD45RA+) cells (Fig. 5b, Supplementary Fig. 5b), and demonstrated higher expression of the T-cell activation markers HLA-DR, CD38 and CD25 on direct ex vivo staining compared to Vγ9Vδ2 T-cells within HCC and paired tumour-free liver (Fig. 5c, Supplementary Fig. 5c). Despite their reduced frequency, Vγ9Vδ2 T-cells infiltrating background liver in HCC patients were better able to produce IFN-γ following 4 h stimulation than Vδ1 T-cells (Fig. 5d). Vγ9Vδ2 T-cells within HCC TILs also maintained high IFN-γ expression upon stimulation in the majority of HCC samples (Fig. 5d), although they had reduced granzyme B expression directly ex vivo (Fig. 5e).

In view of the long-lived retention of CD49a-expressing γδTRM we had demonstrated in the liver, we examined whether γδ T-cells infiltrating into HCC could acquire this residency profile. Both Vδ1 and Vγ9Vδ2 T-cells were able to acquire a TRM phenotype in HCC and CRCLM Fig. 5f, g). Co-expression of CD49a was higher than CD103 on intrahepatic and intratumoural Vδ1 and Vγ9Vδ2 TRM subsets (Supplementary Fig. 5d). Using the GEPIA2 web server to interrogate the Cancer Genome Atlas database48, a combined CD69+CD103+ and γδ-TCR gene signature showed a favourable prognostic association with overall survival in HCC, not detected with an equivalent CD69+CD103+ αβCD8+ TCR gene signature (Supplementary Fig. 5e), although the TRM gene signature in the analysis may have been contributed to by other cell types preventing definitive conclusions.

Overall, Vδ1 T-cells appeared higher in frequency and tended to be more activated with higher cytotoxic potential within HCC, while Vγ9Vδ2 T-cells, despite being selectively reduced in frequency in HCC, maintained high capacity for IFN-γ production and an equivalent ability to acquire an intratumoural CD69+CD49a+ or CD69+CD103+ TRM phenotype.

Anti-tumour potential of Vγ9Vδ2 TRM against ZOL-sensitised HCC cell lines

While both Vδ1 and Vγ9Vδ2 T-cells may contribute to immunosurveillance of HCC, we focused on therapeutic augmentation of the depleted Vγ9Vδ2 T-cell subset, for which ligands and clinical expansion protocols are better validated. Having demonstrated that Vγ9Vδ2 TRM were well-adapted for long-lived function in the HCC niche, we next investigated if they had the potential to mediate specific anti-tumour functionality. Intrahepatic Vγ9Vδ2 T-cells isolated from fresh human liver tissue exhibited minimal IFN-γ and TNF-α production in response to co-culture with HepG2 or HuH7 human hepatoma cell lines (Fig. 6a, b, Supplementary Fig. 6a). We hypothesised that insufficient isopentenyl pyrophosphate (IPP) production by the tumour cell lines may be limiting Vγ9Vδ2 TCR activation. Therefore, based on previous studies5153, we pre-treated HepG2 and HuH7 cells for 16–18 h with the aminobisphosphonate ZOL, which inhibits the enzyme farnesyl pyrophosphate synthase (FPPS) in the mevalonate pathway, promoting upstream accumulation of IPP within the tumour cell to trigger Vγ9Vδ2 TCR activation54. After removal of ZOL, hepatoma cell lines were again co-cultured with IHL and were then able to trigger a significant increase in Vγ9Vδ2 T-cell effector function (IFN-γ, TNF-α, IL-2 expression, Fig. 6c, Supplementary Fig. 6a). This activation was specific to Vγ9Vδ2 T-cells, with no effect on liver Vδ1 or αβCD8+ T-cell function (Supplementary Fig. 6b). To confirm that the increase in Vγ9Vδ2 T-cell effector function was dependent on tumour cell IPP expression, we additionally treated ZOL-exposed hepatoma cell lines with Mevastatin, an inhibitor of the mevalonate pathway, able to block tumour cell IPP production, prior to the co-culture with IHL (Fig. 6d)51,54. Mevastatin significantly reduced the function of co-cultured intrahepatic Vγ9Vδ2 T-cells (IFN-γ and TNF-α), supporting a role for IPP-mediated triggering (Fig. 6d).

Fig. 6. Anti-tumour potential of Vγ9Vδ2 TRM against ZOL-sensitised HCC cell lines.

Fig. 6

a Schema of untreated or Zoledronic acid (ZOL) pre-treated (5μM, 16–18 h) adherent HepG2 cells co-cultured with intrahepatic lymphocytes (IHL) (n = 11) or HCC tumour-infiltrating lymphocytes (TIL) (n = 4) (E:T 2:1 ratio; 0.6 × 106 IHL or TILs to 0.3 × 106 HepG2 cells, 6 h co-culture, all conditions performed in duplicate or triplicate). b IFN-γ, TNFα expression by Vγ9Vδ2 T-cells in IHL unstimulated or after co-culture with untreated HepG2 cells (n = 11 IFN-γ, n = 8 TNF-α). c IFN-γ, TNFα, IL-2 expression by Vγ9Vδ2 T-cells in IHL: unstimulated, directly treated with 5 μM ZOL, or after co-culture with untreated or ZOL pre-treated HepG2 cells (n = 11 IFN-γ p = 0.0004, p = 0.0008; n = 8 TNFα p = 0.0006, p = 0.004; n = 7 IL-2 p = 0.007, p = 0.02). d IFN-γ (n = 11), TNF-α (n = 8) expression by Vγ9Vδ2 T-cells in IHL after co-culture with ZOL pre-treated HepG2 cells with or without 100 µM Mevastatin (Mev) treatment (IFN-γ p = 0.008, TNF-α p = 0.03). e Representative flow cytometry plot of IFNγ expression and summary data of IFNγ and IL-2 expression by CD69+CD49a+ Vγ9Vδ2 TRM compared to CD69CD49a Vγ9Vδ2 non-TRM, following co-culture of IHL with ZOL pre-treated HepG2 cells (g = 8, IFNγ p = 0.02, IL-2 p = 0.03). f IFN-γ expression by Vγ9Vδ2 T-cells in HCC TILs unstimulated, or after co-culture with untreated or ZOL pre-treated HepG2 cells (n = 4). g Representative flow cytometry plot of IFN-γ expression by CD69+CD49a+ Vγ9Vδ2 TRM and CD69CD49a Vγ9Vδ2 non-TRM in HCC TILs after co-culture with ZOL pre-treated HepG2 cells. Each symbol represents a study participant; error bars represent the mean ± SEM. Two-tailed p-values were determined using Wilcoxon paired test (b, d, e), or Friedman test with Dunn’s post-hoc multiple comparisons test (c, f). *p < 0.05; **p < 0.01; ***p < 0.001.

Importantly, CD69+CD49a+ Vγ9Vδ2 TRM isolated from the human liver displayed a greater increase in effector function (IFN-γ, IL-2 expression) compared to their non-resident (CD69CD49a) Vγ9Vδ2 T-cell counterparts when co-cultured with ZOL-treated hepatoma cell lines (Fig. 6e). We observed a similar response using TILs isolated directly from four HCC tumours. Co-culturing HCC TILs with plated HepG2 cells in vitro, resulted in no measurable Vγ9Vδ2 T-cell effector response (Fig. 6f). However, ZOL pre-treatment of the hepatoma cell lines increased IFN-γ expression by the intratumoural Vγ9Vδ2 T-cells, predominantly by the Vγ9Vδ2 TRM subset (Fig. 6f, g). Collectively, these results suggest that low IPP expression by HCC tumour cells could limit the local activation of Vγ9Vδ2 T-cells by HCC. Thus, by sensitising HCC tumour cells directly with ZOL first, we could significantly enhance the anti-tumour function of Vγ9Vδ2 T-cells, in particular Vγ9Vδ2 TRM, within HCC tumours and adjacent liver tissue.

ZOL expands de novo Vγ9Vδ2 TRM from blood, targeting ZOL-sensitised HCC cell lines

Enhancing the function of residual endogenous Vγ9Vδ2 TRM is a promising novel immunotherapeutic strategy, however, its clinical efficacy may be limited by the low cell counts and reduced cytotoxicity of Vγ9Vδ2 TRM in HCC livers and tumours. To expand a large population of Vγ9Vδ2 T-cells suitable for immunotherapy, we used a well-established clinical protocol (see Methods), treating healthy donor PBMC with ZOL and IL-2 over 10 days5559. Vγ9Vδ2 T-cells expanded with this protocol showed an unexpected de novo induction of a CD69+CD49a+ TRM phenotype (mean 80.3 ± 17.9%), with varying levels of CD103 co-expression (Fig. 7a, b). These de novo CD69+CD49a+ + /- CD103+ Vγ9Vδ2 TRM displayed a CD27lowCD45RAlow effector memory phenotype (Supplementary Fig. 7a), with downregulation of CD62L (Supplementary Fig. 7b). ZOL-induced Vγ9Vδ2 TRM recapitulated other features of Vγ9Vδ2 TRM analysed directly from the liver, with even higher levels of the liver-homing chemokine receptors CXCR6 and CXCR3 (Fig. 7c) and greater capacity for IFN-γ expression, although with lower PD-1 expression in comparison to ex vivo isolated intrahepatic Vγ9Vδ2 TRM (Fig. 7d, Supplementary Fig. 7c). Crucially, in vitro induced Vγ9Vδ2 TRM had enhanced cytotoxic potential (ex vivo granzyme B expression) compared to Vγ9Vδ2 TRM isolated directly from the liver (Fig. 7d).

Fig. 7. ZOL expands de novo Vγ9Vδ2 TRM from blood, targeting ZOL-sensitised HCC cell lines.

Fig. 7

a Representative flow cytometry plots of CD69+CD103+ and CD69+CD49a+ expression on Vγ9Vδ2 T-cells pre- and post-Zoledronic acid (ZOL) and IL-2 based expansion. b Summary data of CD69+CD103+ and CD69+CD49a+ expression on Vγ9Vδ2 T-cells pre- and post-ZOL and IL-2 based expansion (n = 15, p = 0.001). c % CXCR6 (left) and % CXCR3 (right) expression on ex vivo intrahepatic Vγ9Vδ2 TRM (n = 11), compared to de novo blood CD69+CD103+ or CD69+CD49a+ Vγ9Vδ2 TRM (induced TRM, n = 8) following ZOL/IL-2 expansion (CXCR6 p = 0.0001, p = 0.0008; CXCR3 p = 0.0002, p = 0.0002). d IFN-γ expression (left) by ex vivo intrahepatic Vγ9Vδ2 TRM compared to induced blood Vγ9Vδ2 TRM after 4 h PMA and Ionomycin stimulation (n = 7, p = 0.001); unstimulated Granzyme B expression (right) by intrahepatic Vγ9Vδ2 TRM (n = 11) compared to induced blood Vγ9Vδ2 TRM (n = 6, p = 0.002, p = 0.001). e Schema demonstrating expanded blood Vγ9Vδ2 T-cells co-culture with untreated or ZOL pre-treated (5 μM, 16–18 h) HepG2 cells (E:T 2:1 ratio; 0.6 × 106 expanded Vγ9Vδ2 T-cells to 0.3 × 106 HepG2 cells, 6 h co-culture, all conditions performed in triplicate). Representative flow cytometry plot and summary data of IFN-γ and TNF-α expression by ZOL/IL-2 expanded Vγ9Vδ2 T-cells: unstimulated, directly treated with ZOL 5 μM, or after co-culture with untreated or ZOL pre-treated HepG2 cells (n = 10; IFN-γ p < 0.0001, p = 0.03, p = 0.01; TNF-α p < 0.001, p = 0.03, p = 0.01). f IFN-γ and TNF-α expression by ZOL/IL-2 expanded Vγ9Vδ2 T-cells after co-culture with ZOL pre-treated HepG2 cells, with or without the addition of 100 µM Mevastatin (Mev) (n = 10; IFN-γ p = 0.004, TNF-α p = 0.004). g IFN-γ and Granzyme B expression by expanded blood Vγ9Vδ2 TRM (n = 9) compared to ex vivo intrahepatic Vγ9Vδ2 TRM (n = 10) after co-culture with ZOL pre-treated HepG2 cells (IFN-γ p = 0.03, GRZB p = 0.005). h IFN-γ and TNF-α expression by ZOL/IL-2 expanded Vγ9Vδ2 T-cells after co-culture with ZOL pre-treated HepG2 cells, with or without the addition of anti-programmed death-ligand 1 (PDL-1) blockade (n = 6). i Lysis of HepG2 cells and ZOL pre-treated HepG2 cells after co-culture with PBMCs containing ZOL-expanded Vγ9Vδ2 T-cells (n = 7, p = 0.02), measured using ToxilightTM cytotoxicity assay. Each symbol represents a study participant; error bars show mean ± SEM. Two-tailed p-values determined using Wilcoxon paired test (b, f, i), Mann–Whitney test (c, d, g), or Friedman test with Dunn’s post-hoc test for multiple comparisons (e, h). *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001.

ZOL inhibits FPPS within the mevalonate pathway of dendritic cells and monocytes in PBMCs, leading to accumulation of IPP to trigger Vγ9Vδ2 TCR activation6063, pointing to this as a putative mechanism for de novo Vγ9Vδ2 TRM induction. To further explore the role of TCR activation as a potential driving factor for Vγ9Vδ2 T-cell tissue-residency, we stimulated Vγ9Vδ2 T-cells within PBMCs using a plate-bound anti-γδTCR antibody. Continuous TCR stimulation (7-days) induced Vγ9Vδ2 T-cell activation (increased CD38), accompanied by preferential de novo CD49a and CD103 expression on the CD38-expressing fraction (Supplementary Fig. 7d), accumulating in a time-dependent manner (Supplementary Fig. 7e), and accompanied by significantly higher levels of CXCR6 and CXCR3 expression (Supplementary Fig. 7f). IL-2 without TCR stimulation did induce a degree of CD49a expression on Vγ9Vδ2 T cells, although to a significantly lower intensity (Supplementary Fig. 7d, e). Exposure to other prototypic hepatic cytokines, in particular combined IL-15 and TGF-β, also induced de novo expression of CD49a, and to a much lower extent CD103, on Vγ9Vδ2 T-cells, and therefore may be additional factors driving the induction of γδ TRM within the liver and HCC (Supplementary Fig. 7g).

We next co-cultured the ZOL and IL-2 expanded blood Vγ9Vδ2 T-cells with human hepatoma cell lines, HepG2 and HuH7, to examine for an anti-HCC response. ZOL pre-treatment of the hepatoma cell lines was again required in order to evoke substantial IFN-γ and TNF-α expression by the expanded blood Vγ9Vδ2 TRM (Fig. 7e, Supplementary Fig. 7h), which was reduced in a dose-dependent manner by the addition of Mevastatin, confirming the dependence on tumour cell IPP expression (Fig. 7f, Supplementary Fig. 7i). Notably, ZOL-induced blood Vγ9Vδ2 TRM exhibited higher IFN-γ and Granzyme B expression than ex vivo isolated liver Vγ9Vδ2 TRM following co-culture with hepatoma cell lines (Fig. 7g). The addition of anti-PD-L1 blockade did not further increase expanded Vγ9Vδ2 TRM effector function towards ZOL pre-treated HepG2 cells (IFN-γ, TNF-α) (Fig. 7h). Critically, de novo induced Vγ9Vδ2 TRM were able to lyse HCC cell lines that had been sensitised by ZOL, assessed by the ToxiLightTM bioluminescent cytotoxicity assay measuring adenylate kinase in the culture medium released following cell death (Fig. 7i).

Overall, these data indicate that a de novo TRM phenotype with enhanced anti-tumour functionality can be successfully recapitulated and expanded in vitro from peripheral blood Vγ9Vδ2 T-cells, with liver-homing/retention potential for adoptive cell transfer. However, to enhance their anti-tumour function and maximise tumour cell lysis, prior treatment of HCC tumour cells with ZOL is required to upregulate IPP expression for Vγ9Vδ2 TCR activation in situ.

Discussion

HCC is now known to be partially amenable to immunotherapy, but new approaches are urgently needed to tackle the dual tolerogenic influences of the liver and tumour microenvironments. T-cells specialised for tissue residence are adapted to combat local tolerising effects, and are able to maintain long-term, rapid functionality at the site of disease. In the case of αβCD8+ T-cells, tissue-residence is emerging as a critical feature for protection against tumours25,3137,39 γδ T-cells are promising alternative candidates for cancer immunotherapies but their capacity for tissue residency in HCC is unknown. Here, we show that both major subsets of human γδ T-cells (Vδ1 and Vγ9Vδ2) are able to acquire phenotypic and functional features of tissue residence in human HCC. We confirm the bona fide TRM status of CD69+CD49a+ γδ T-cells by demonstrating their lack of egress into hepatic vasculature, long-lived persistence in human liver allografts, and rapid production of cytokines favouring survival and non-cytolytic functionality, similar to intrahepatic αβCD8+ TRM2830. CD49a expression has similarly been described to promote αβCD8+ TRM survival in the human lung, mediated in part through engagement with its ligand collagen IV64.

The protective capacity of γδ T-cells against other cancer types has been demonstrated in mice and humans916; here, we show this also applies to HCC, with higher intratumoural γδ T-cell frequencies associating with smaller tumour size and longer patient survival. It will be important to extend this to much larger cohorts to assess for potential prognostic value as a clinical biomarker. Whilst the endogenous intratumoural γδ T-cell response may be partially limited by regulatory and/or pro-inflammatory influences6567, our findings reveal the potential to exploit the capacity of both Vδ1 and Vγ9Vδ2 T-cells to acquire tissue-residence within HCC. Here, we concentrated on exploring the immunotherapeutic potential of Vγ9Vδ2 T-cells since they were selectively depleted in HCC but can be readily expanded in vitro, have a well-defined tumour ligand in the form of IPP and showed the capacity to acquire TRM features. Although intratumoural Vγ9Vδ2 T-cells maintained efficient production of IFN-γ, a cytokine critical to the orchestration of tumour immunity68, they had reduced cytotoxic potential, lower expression of T-cell activation markers, and poor recognition of HCC cell lines. Firstly, we showed that the anti-tumour function of existing endogenous intrahepatic and intratumoural Vγ9Vδ2 TRM could be enhanced in an IPP-dependent manner by pre-treating HCC cell lines with the aminobisphosphonate ZOL, as previously shown for circulating Vγ9Vδ2 T-cells51. However, this would not tackle the depleted numbers of Vγ9Vδ2 T-cells we observed in HCC. Next, we, therefore, explored the expansion of Vγ9Vδ2 T-cells with the combination and doses of ZOL and IL-2 previously optimised for adoptive cell transfer. We discovered that this clinically-validated protocol induced a de novo TRM phenotype on blood Vγ9Vδ2 T cells, with increased liver-homing chemokine receptor expression and even higher expression of the retention molecules CD69/CD49a/CD103 than endogenous γδTRM, as well as enhancing cytotoxicity. Analogous to the endogenous Vγ9Vδ2 T-cell response, these peripheral induced Vγ9Vδ2 TRM were able to efficiently recognise and lyse HCC cells pre-sensitised with aminobisphosphonates to increase IPP accumulation.

Thus, Vγ9Vδ2 T-cell-based immunotherapy holds potential as an alternative treatment strategy for HCC patients resistant or intolerant to immune checkpoint inhibition, removing the need for tumour-antigen specificity due to the uniform, MHC-unrestricted responsiveness of Vγ9Vδ2 T-cells to phospho-antigen (IPP) stimulation. The adoptive cell transfer of ex vivo ZOL-expanded blood Vγ9Vδ2 T-cells has demonstrated a good safety profile in several early phase clinical trials5559, including a recent phase one trial in patients with advanced HCC69. However, to date, clinical efficacy has remained low. Systemic ZOL therapy can expand Vγ9Vδ2 T-cells in vivo, but the high affinity of ZOL for bone mineral and its rapid renal clearance limits systemic availability of ZOL for tumour cell uptake70, likely contributing to the insufficient anti-tumour responses observed22,7173. In contrast, local intraperitoneal or intratumoural administration of ZOL to tumours has demonstrated early promise in small proof-of-concept studies of other tumour types52,53,57,74. Our data suggest that aminobisphosphonates should be tested in a combination strategy for HCC, to overcome two key limiting factors: their direct delivery to the tumour can enhance IPP expression to increase in situ activation of Vγ9Vδ2 T-cells, whilst their use for large-scale expansion of blood Vγ9Vδ2 T-cells can expand a population with enhanced cytotoxicity and the tissue-retention properties of TRM to replenish depleted numbers within the tumour.

Methods

Study approval

This study was approved by the local ethics board Brighton and Sussex (Research Ethics Committee reference number 11/LO/0421) and complies with the Declaration of Helsinki. All study participants provided written informed consent before inclusion. All storage of samples obtained complied with the requirement of the Human Tissue Act 2004 and the Data Protection Act 1998.

Sample collection

All uses of human samples have been approved. Surgically resected tumour-free liver tissue and tumours of HCC or CRCLM, explants from patients with HCC or cirrhosis without HCC undergoing liver transplantation, and perfusates from healthy donor liver allografts, together with paired blood samples, were obtained through the Tissue Access for Patient Benefit initiative at The Royal Free Hospital (approved by the University College London–Royal Free Hospital BioBank Ethical Review Committee; Research Ethics Committee reference number 11/WA/0077). Formalin fixed paraffin-embedded tissue sections for immunohistochemistry were obtained from background liver and tumours of HCC (approval by the Royal Free Hospital Ethics Committee reference number 07/Q0501/50). Blood samples were obtained from patients with cirrhosis undergoing transjugular intrahepatic portosystemic shunt procedures (approved by the University College London–Royal Free Hospital BioBank Ethical Review Committee; Research Ethics Committee reference number 16/WA/0289). For comparison, peripheral blood samples from healthy control individuals were included within the study (approved by the South East Coast Research Ethics Committee; Research Ethics Committee reference number 11/LO/0421).

Explanted liver tissue was obtained from two patients undergoing re-transplantation where there was an HLA class I mismatch between the initial allograft donor and the recipient (approved by the University College London–Royal Free Hospital BioBank Ethical Review Committee; Research Ethics Committee reference number 11/WA/0077). HLA phenotype was determined by HLA-haplotyping PCR by A. Nolan (National Health Service, London, UK) or MRC Weatherall Institute of Molecular Medicine Sequencing Facility (Oxford, UK). Clinical details of the transplant recipients and donors are included in Supplementary Table 1.

Human PBMC, IHL and TIL cell isolation

Peripheral blood mononuclear cells (PBMC) were isolated from heparinised blood by density centrifugation using Pancoll (Pan Biotech) and was centrifuged for 20 min at 800 g with slow acceleration and deceleration. PBMCs were used fresh where possible or were frozen in 10% DMSO (Sigma-Aldrich) in heat-inactivated FBS (Sigma-Aldrich) and stored in accordance with the Human Tissue Act.

To isolate intrahepatic lymphocytes (IHL) and tumour-infiltrating lymphocytes (TIL), liver or tumour tissue was cut into small pieces and incubated for 30 min at 37 oC in 0.01% collagenase IV (Thermo Fisher Scientific) and 0.001% DNAse I (Sigma-Adrich) followed by further mechanical disruption via GentleMACS (Miltenyi Biotech), and filtration through a 70 μm cell strainer (BD Bioscience) to achieve a single cell solution. Parenchymal cells were removed by 400 g centrifugation on a 30% Percoll gradient (GE Healthcare) and lymphocytes were isolated via density centrifugation as described above. IHL and TILs were used immediately after isolation.

Flow cytometry: cell surface, intracellular and cytokine staining

Multiparametric flow cytometry was used for phenotypic and functional analysis of PBMC, IHL and TILs. Cells were stained with a fixable Live/Dead dye (Invitrogen) before incubation with saturating concentrations of surface mAbs diluted in 50% Brilliant Stain buffer (BD Biosciences) and 50% PBS (Invitrogen) for 15 min at 4 °C. Cells were fixed and permeabilized for further functional assessment with Cytofix/Cytoperm (BD Biosciences) according to the manufacturer’s instructions. Cells were incubated with saturated concentrations of mAbs diluted in a 0.1% saponin-based buffer (Sigma-Aldrich) for 20 min at 4 °C for the detection of intracellular proteins. All samples were acquired on Fortessa X20 flow cytometer using FACSDiva software v8.0 (BD biosciences) and analysed using FlowJo v.9 (Tree Star; BD Biosciences). Full details on monoclonal antibodies used can be found in Supplementary Table 5.

t-Distributed Stochastic Neighbour Embedding (tSNE) analysis

The dimension reduction algorithm tSNE was applied to concatenated flow cytometry data (~2500 cells per samples) from 5 IHL and 3 PBMC samples using default parameters (iterations, 1,000; perplexity, 30; and eta 4076, vantage point tree KNN algorithm) in FlowJo. tSNE was applied to expression data for Vδ1, Vδ2, Vγ9, CD69, CD49a, CD103, CXCR3, CXCR6, HLA-DR, NKG2D, after pre-gating on single, live, CD45 + , CD3 + , γδ-TCR + lymphocytes. Manual gating of Vδ1, Vδ2, Vγ9, CD69, CD103, and CD49a were used to colour subpopulations within the plots in Fig. 1b.

In vitro stimulation

Prior to intracellular cytokine staining, PBMC, IHL or TILs were plated in a 96-well plate (0.4 x 106 cells per well) in complete RPMI (cRPMI; RPMI-1640 containing 10% FBS, 100 U/ml penicillin/streptomycin, 1× nonessential amino acids, 1× essential amino acids, and β-mercaptoethanol; Invitrogen) and stimulated with 50 ng/ml phorbol myristate acetate (PMA) (Sigma-Aldrich) and 500 ng/ml Ionomycin (Sigma-Aldrich) for 4 h with 1 μg/ml brefeldin A (Sigma-Aldrich) added, at 37 °C in a humidified atmosphere with 5% CO2. After stimulation, γδ T-cells were stained for cytokine production as above and analysed by flow cytometry.

For assessment of the impact of anti-PD-L1 receptor blockade, IHL were plated in 200μl cRPMI in a 96-well plate (0.4 x 106 cells/well) with or without anti-PD-L1 blocking antibody (Invitrogen, 2.5 μg/ml or 5 μg/ml) and plate-bound anti γδ-TCR monoclonal antibody stimulation (Biolegend, 4 μg/ml), with 1 μg/ml brefeldin A (Sigma-Aldrich) added. After 16 h, cells were removed from stimulation, stained for cytokine production and analysed by flow cytometry.

Immunohistochemistry staining of CD3+ and γδ T-cells

The immunostaining protocol was first optimised on formalin-fixed paraffin-embedded tonsil tissue as a positive control, and subsequently liver tissue. Formalin-fixed paraffin-embedded sections obtained from paired HCC and background liver tissue (n = 28) were placed through xylene and alcohol to distilled water, placed in 1 L of pH 9.0 Tris EDTA buffer and then microwaved for 20 min at 640 W before cooling and rinsing in running tap water. The slides were soaked in Tris Buffered Saline (TBS) with 0.04% Tween-20 for 5 min, Bloxall (Vector – SP-6000-100) blocking solution was applied for 10 min, washed in TBS and blocked with normal horse serum (MP-7402 – Vector Laboratories) for 10 min. Slides were incubated for 1 h at room temperature in a combined cocktail of rabbit anti human CD3 (SP7 clone, ab16669-Abcam) at 1:100 and mouse anti human TCR-δ (H41 clone, sc-100289-Santacruz) at 1:100 in TBS. After washing in TBS Tween for 5 min, the slides were incubated for 25 min in ImPRESS horse anti-mouse HRP reagent (MP-7402-Vector Laboratories), washed in TBS Tween, developed with ImmPACT DAB (SK4105-Vector Laboratories), washed in TBS, and blocked with normal horse serum (MP5401–Vector Laboratories) for 10 min. Slides were incubated for 25 min in ImPRESS horse anti-rabbit HRP reagent (MP5401-Vector Laboratories), washed in TBS Tween, developed with fast red alkaline phosphatase substrate (ab64254=Abcam), washed in TBS Tween, counterstained with Mayers haematoxylin and then rinsed in running tap water. Slides were allowed to air-dry to dehydrate, clear in xylene and mounted. All relevant negative controls and single stains were included to exclude the possibility of cross reaction between CD3 and TCR-δ antibodies and detection kits.

Immunohistochemistry imaging and quantification of CD3+ and γδ T-cells

Five fields were selected at random from each of the background liver (n = 28) and HCC tumour (n = 28) slides using a graticule and a random number generator, and enlarged to x20 objective magnification. Images were taken using a Akoya Mantra 2TM microscope and multispectral camera which captures an absorbance spectrum for each pixel. Spectral libraries were set up from single stained slides for each of DAB, Fast Red and Haematoxylin to identify the chromogen for TCR-γδ, CD3 and nuclei, respectively. The images were then spectrally unmixed using the spectral libraries to identify each chromogenic signal. Cells were identified using automatic segmentation with the software available from Akoya, inForm®, using the multispectral data to identify cells based on morphological parameters and chromogen expression. Automatic cell counts of CD3+ positive cells and CD3+TCR-γδ+ cells were carried out on each image and segmented images were reviewed for accuracy of detection. Overall CD3+ and CD3+ TCR-γδ+ cell counts and a count per mm2 were obtained.

Expansion of Vγ9Vδ2 T-cells

PBMC from healthy controls were plated in a 24-well plate (0.2 × 106 cells/well) and incubated with 1000 IU/ml IL-2 (PeproTech) in the presence or absence of 5 μM Zometa (Novartis), in cRPMI at 37 °C for 3-days. On day 3 the PBMCs were removed, washed in cRPMI and re-plated in a 24-well plate (0.2 × 106 cells/well) with fresh cRPMI media containing 1000IU/ml IL-2. Every 2–3 days a media change was performed with 1000 IU/ml IL-2 added and the cells were split as required. On day 9–12, the cells were stained for Vγ9Vδ2 T-cell frequency and phenotype and analysed by flow cytometry. CountBrightTM absolute counting beads (ThermoFisher) were used to determine total cell counts to confirm Vγ9Vδ2 T-cell expansion.

For comparisons of cytokine production post-expansion, following the Vγ9Vδ2 T-cell expansion protocol as described, PBMC were rested overnight in cRPMI and then plated in a 96-well plate (0.4 x 106 cells/well) and stimulated using 50 ng/ml PMA (Sigma-Aldrich) and 500 ng/ml Ionomycin (Sigma-Aldrich) for 4 h at 37 °C with 1 μg/ml brefeldin A (Sigma-Aldrich). After stimulation, cells were stained for cytokine production and analysed by flow cytometry.

In vitro γδ-TCR activation

PBMC from healthy controls were plated in 200 μl cRPMI in a 96-well plate (0.3 x 106 cells/well) with IL-2 (20 IU/ml) added with or without additional plate-bound anti-γδTCR monoclonal antibody stimulation (Biolegend, 4μg/ml). PBMC were removed at 4 h, 24 h, 3 days, and 7 days of culture and stained for CD38, CXCR6, CXCR3 and γδ TRM marker expression.

In vitro cytokine exposure

PBMC from healthy controls were plated in a 96-well plate (0.3 x 106 cells/well) and cultured in 200 μl cRPMI with combinations of IL-2 (20 IU/ml), IL-7 (50 ng/ml), IL-15 (50 ng/ml), TGF-β (50 ng/ml). On day 7 PBMC were stained for cell surface γδ TRM marker (CD69, CD103, CD49a) expression.

Zoledronic acid treated hepatoma cell line co-culture

HepG2 or HuH7 cells were plated at a density of 0.3 x 106 cells/well in a 24-well plate (Costar) and incubated in GlutaMax DMEM media (Gibco) containing 10% FCS, 1% NEAA, 1% Sodium Pyruvate, 1% PenStrep, for 16–18 h to adhere to the well, in the presence or absence of Zometa (ZOL) 5 μM (Novartis) and/or Mevastatin 100 μM or 200 μM (Sigma-Aldrich) and/or 5 μg anti-PD-L1 blocking antibody (Invitrogen). After 16–18 h incubation, the media was carefully removed and the adherent HepG2 cells in each well were washed twice with PBS. PBMC containing ZOL-expanded blood Vγ9Vδ2 T-cells, bulk IHL or TILs (0.6 x 106 cells/well, E:T ratio 2:1) were then added to each well in cRPMI for 6 h at 37 °C with 1 μg/ml brefeldin A added in culture. All conditions were performed in duplicate or triplicate and combined before staining. Cells were removed, stained for Vγ9Vδ2 T-cell phenotype and effector function and analysed by flow cytometry.

HCC cell line cytotoxicity assay

HepG2 cells were plated (0.3 x 106 cells/well) in a 24-well plate (Costar) and incubated in GlutaMax DMEM media containing 10% FCS, 1% NEAA, 1% Sodium Pyruvate, 1% PenStrep for 16–18 h, in the presence or absence of Zometa (ZOL) 5 μM (Novartis). After incubation, adherent HepG2 cells were washed twice with PBS. ZOL treated PBMCs (containing expanded Vγ9Vδ2 T-cells) were subsequently added to each well in cRPMI for 6 h at 37 °C. The culture supernatant was collected, frozen at −20 °C and thawed at time of analysis. Control wells included ZOL Vγ9Vδ2-expanded PBMCs alone, HepG2 cells alone and ZOL pre-treated HepG2 cells alone. 100% lysis positive controls included HepG2 cells and ZOL pre-treated HepG2 cells resuspended in 0.1% Triton X-100 in PBS. ToxiLightTM bioluminescent cytotoxicity assay (Lonza) was used to measure adenylate kinase (AK) release in the culture supernatant as a marker of cell death. As per manufacturer’s instructions, samples were mixed with the reconstituted AK detection agent, incubated for 5 min and then placed in a luminescence compatible plate reader. Specific lysis was calculated as follows, referring to ZOL Vγ9Vδ2-expanded PBMCs as effector cells and HepG2 cells as target cells: (RLU): (RLU(Effector+Target)-RLU(Effector)-RLU(Target))/(RLU(100%lysis)-RLU(Effector)-RLU(Target))*100.

Statistical analyses

Statistical analyses were performed in Prism 7.0 (GraphPad) using appropriate methods as indicated in the figure legends (Mann–Whitney test, Wilcoxon matched-pairs signed rank test, Spearman rank correlation test, Kruskal–Wallis test for unpaired non-parametric multiple comparisons, Friedman test for paired non-parametric multiple comparisons, with Dunn’s post-hoc test for multiple comparisons) with significant differences marked on all figures. All tests were performed as two-tailed tests, and for all tests significance levels were defined as: not significant (ns) p > 0.05; *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Supplementary information

Peer Review File (218.2KB, pdf)
Reporting Summary (78.2KB, pdf)

Acknowledgements

This work was funded by a Wellcome Trust PhD Clinical Research Fellowship Award (175479) to N.Z., and by a CRUK Accelerator award HUNTER, CRUK Immunology project grant (26603) and Wellcome Trust Investigator Award (214191/Z/18/Z) to M.K.M. A.Q. is supported by the National Institute for Health Research (NIHR) UCLH/UCL Biomedical Research Centre (BRC). We are grateful to patients participating in the study and to clinical staff who helped with participant recruitment and sample acquisition, including NHS transplant coordinators, research nurses and the Tissue Access for Patient Benefit (TapB) project at The Royal Free Hospital (RFH) funded by RFH Charity and UCLH/UCL BRC, as well as Jamie Evans in the Rayne Building Flow Cytometry Core Facility who provided Fortessa X20 support. The illustrations in Figs. 2a, c, 6a, 7e were created with BioRender.com, with a granted publication license.

Source data

Source Data (76.9KB, xlsx)

Author contributions

N.Z. and M.K.M. conceived the project; N.Z., A.H., M.K.M. designed experiments; N.Z. and A.H. generated data; N.Z., A.H., A.Q., M.K.M. analysed and interpreted data; N.Z., A.H., L.S., L.J.P., N.S., M.D., S.K., O.A., A.G., M.P., B.D., A.Q., M.K.M. provided or processed essential patient samples and clinical data. N.Z. and M.K.M. prepared the manuscript. All authors provided critical review of the manuscript.

Peer review

Peer review information

Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Data availability

The raw data for Figs. 17 and Supplementary Figs. 17 are provided in the Source Data file. The gene expression analysis data obtained from the Cancer Genome Atlas database are publicly available through the Gene Expression Profiling Interactive Analysis 2 (GEPIA2) web server, http://gepia2.cancer-pku.cn/#survival48Source data are provided with this paper.

Competing interests

Unrelated to the content of this manuscript, authors M.K.M. and N.M.S. have an international patent application No.1917498.6 entitled Treatment of Hepatitis B Virus (HBV) Infection filed by applicant UCL Business Ltd. MP is co-founder and director of Engitix Therapeutics Ltd, UK. The Maini lab has received unrestricted funding from Gilead, Roche and Immunocore. The remaining authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-022-29012-1.

References

  • 1.Sung H, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality Worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2021;71:209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
  • 2.Pinato DJ, et al. Immune-based therapies for hepatocellular carcinoma. Oncogene. 2020;39:3620–3637. doi: 10.1038/s41388-020-1249-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Finn RS, et al. Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma. N. Engl. J. Med. 2020;382:1894–1905. doi: 10.1056/NEJMoa1915745. [DOI] [PubMed] [Google Scholar]
  • 4.Llovet JM, et al. Hepatocellular carcinoma. Nat. Rev. Dis. Prim. 2021;7:6. doi: 10.1038/s41572-020-00240-3. [DOI] [PubMed] [Google Scholar]
  • 5.Prieto J, Melero I, Sangro B. Immunological landscape and immunotherapy of hepatocellular carcinoma. Nat. Rev. Gastroenterol. Hepatol. 2015;12:681–700. doi: 10.1038/nrgastro.2015.173. [DOI] [PubMed] [Google Scholar]
  • 6.Gubin MM, et al. Checkpoint blockade cancer immunotherapy targets tumour-specific mutant antigens. Nature. 2014;515:577–581. doi: 10.1038/nature13988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lindblad, K. E., Ruiz de Galarreta, M. & Lujambio, A. Tumor-intrinsic mechanisms regulating immune exclusion in liver cancers. Frontiers in Immunology12, 720 (2021). [DOI] [PMC free article] [PubMed]
  • 8.Ruf B, Heinrich B, Greten TF. Immunobiology and immunotherapy of HCC: spotlight on innate and innate-like immune cells. Cell. Mol. Immunol. 2021;18:112–127. doi: 10.1038/s41423-020-00572-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Gentles AJ, et al. The prognostic landscape of genes and infiltrating immune cells across human cancers. Nat. Med. 2015;21:938–945. doi: 10.1038/nm.3909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tosolini M, et al. Assessment of tumor-infiltrating TCRVγ9Vδ2 γδ lymphocyte abundance by deconvolution of human cancers microarrays. Oncoimmunology. 2017;6:e1284723. doi: 10.1080/2162402X.2017.1284723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Wu, Y. et al. An innate-like Vδ1(+) γδ T cell compartment in the human breast is associated with remission in triple-negative breast cancer. Sci Transl Med11, eaax9364 (2019). [DOI] [PMC free article] [PubMed]
  • 12.Meraviglia S, et al. Distinctive features of tumor-infiltrating γδ T lymphocytes in human colorectal cancer. Oncoimmunology. 2017;6:e1347742. doi: 10.1080/2162402X.2017.1347742. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wang J, et al. Tumor-infiltrating γδT cells predict prognosis and adjuvant chemotherapeutic benefit in patients with gastric cancer. Oncoimmunology. 2017;6:e1353858. doi: 10.1080/2162402X.2017.1353858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Girardi M, et al. Regulation of cutaneous malignancy by gammadelta T cells. Science. 2001;294:605–609. [PubMed] [Google Scholar]
  • 15.Girardi M, et al. The distinct contributions of murine T cell receptor (TCR)gammadelta+ and TCRalphabeta+ T cells to different stages of chemically induced skin cancer. J. Exp. Med. 2003;198:747–755. doi: 10.1084/jem.20021282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Liu Z, et al. Protective immunosurveillance and therapeutic antitumor activity of gammadelta T cells demonstrated in a mouse model of prostate cancer. J. Immunol. 2008;180:6044–6053. doi: 10.4049/jimmunol.180.9.6044. [DOI] [PubMed] [Google Scholar]
  • 17.Vantourout P, Hayday A. Six-of-the-best: unique contributions of γδ T cells to immunology. Nat. Rev. Immunol. 2013;13:88–100. doi: 10.1038/nri3384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kabelitz D, Serrano R, Kouakanou L, Peters C, Kalyan S. Cancer immunotherapy with γδ T cells: many paths ahead of us. Cell. Mol.Immunol. 2020;17:925–939. doi: 10.1038/s41423-020-0504-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Groh V, et al. Broad tumor-associated expression and recognition by tumor-derived gamma delta T cells of MICA and MICB. Proc. Natl Acad. Sci. 1999;96:6879–6884. doi: 10.1073/pnas.96.12.6879. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hayday AC, Vantourout P. The innate biologies of adaptive antigen receptors. Annu Rev. Immunol. 2020;38:487–510. doi: 10.1146/annurev-immunol-102819-023144. [DOI] [PubMed] [Google Scholar]
  • 21.Rigau M, et al. Butyrophilin 2A1 is essential for phosphoantigen reactivity by γδ T cells. Science. 2020;367:eaay5516. doi: 10.1126/science.aay5516. [DOI] [PubMed] [Google Scholar]
  • 22.Nussbaumer O, Koslowski M. The emerging role of γδ T cells in cancer immunotherapy. Immuno-Oncol. Technol. 2019;1:3–10. doi: 10.1016/j.iotech.2019.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Fisher JP, Heuijerjans J, Yan M, Gustafsson K, Anderson J. γδ T cells for cancer immunotherapy: A systematic review of clinical trials. Oncoimmunology. 2014;3:e27572. doi: 10.4161/onci.27572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hoeres T, Smetak M, Pretscher D, Wilhelm M. Improving the efficiency of Vγ9Vδ2 T-cell immunotherapy in cancer. Front Immunol. 2018;9:800. doi: 10.3389/fimmu.2018.00800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Park SL, Gebhardt T, Mackay LK. Tissue-resident memory T cells in cancer immunosurveillance. Trends Immunol. 2019;40:735–747. doi: 10.1016/j.it.2019.06.002. [DOI] [PubMed] [Google Scholar]
  • 26.Okła, K., Farber, D. L. & Zou, W. Tissue-resident memory T cells in tumor immunity and immunotherapy. J Exp Med218, 1–14 (2021). [DOI] [PMC free article] [PubMed]
  • 27.Amsen D, van Gisbergen K, Hombrink P, van Lier RAW. Tissue-resident memory T cells at the center of immunity to solid tumors. Nat. Immunol. 2018;19:538–546. doi: 10.1038/s41590-018-0114-2. [DOI] [PubMed] [Google Scholar]
  • 28.Pallett LJ, et al. IL-2(high) tissue-resident T cells in the human liver: Sentinels for hepatotropic infection. J. Exp. Med. 2017;214:1567–1580. doi: 10.1084/jem.20162115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Stelma F, et al. Human intrahepatic CD69 + CD8+ T cells have a tissue resident memory T cell phenotype with reduced cytolytic capacity. Sci. Rep. 2017;7:6172. doi: 10.1038/s41598-017-06352-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Pallett, L. J. et al. Longevity and replenishment of human liver-resident memory T cells and mononuclear phagocytes. J Exp Med217, 1–11 (2020). [DOI] [PMC free article] [PubMed]
  • 31.Egelston, C. A. et al. Resident memory CD8+ T cells within cancer islands mediate survival in breast cancer patients. JCI Insight4, 1–15 (2019). [DOI] [PMC free article] [PubMed]
  • 32.Byrne A, et al. Tissue-resident memory T cells in breast cancer control and immunotherapy responses. Nat. Rev. Clin. Oncol. 2020;17:341–348. doi: 10.1038/s41571-020-0333-y. [DOI] [PubMed] [Google Scholar]
  • 33.Park SL, et al. Tissue-resident memory CD8(+) T cells promote melanoma-immune equilibrium in skin. Nature. 2019;565:366–371. doi: 10.1038/s41586-018-0812-9. [DOI] [PubMed] [Google Scholar]
  • 34.Lim CJ, et al. Multidimensional analyses reveal distinct immune microenvironment in hepatitis B virus-related hepatocellular carcinoma. Gut. 2019;68:916–927. doi: 10.1136/gutjnl-2018-316510. [DOI] [PubMed] [Google Scholar]
  • 35.Clarke J, et al. Single-cell transcriptomic analysis of tissue-resident memory T cells in human lung cancer. J. Exp. Med. 2019;216:2128–2149. doi: 10.1084/jem.20190249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ganesan AP, et al. Tissue-resident memory features are linked to the magnitude of cytotoxic T cell responses in human lung cancer. Nat. Immunol. 2017;18:940–950. doi: 10.1038/ni.3775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Malik, B. T. et al. Resident memory T cells in the skin mediate durable immunity to melanoma. Sci Immunol2, 1–24 (2017). [DOI] [PMC free article] [PubMed]
  • 38.Menares E, et al. Tissue-resident memory CD8+ T cells amplify anti-tumor immunity by triggering antigen spreading through dendritic cells. Nat. Commun. 2019;10:4401. doi: 10.1038/s41467-019-12319-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Savas P, et al. Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis. Nat. Med. 2018;24:986–993. doi: 10.1038/s41591-018-0078-7. [DOI] [PubMed] [Google Scholar]
  • 40.Cheng Y, et al. Non-terminally exhausted tumor-resident memory HBV-specific T cell responses correlate with relapse-free survival in hepatocellular carcinoma. Immunity. 2021;54:1825–1840. doi: 10.1016/j.immuni.2021.06.013. [DOI] [PubMed] [Google Scholar]
  • 41.Hunter S, et al. Human liver infiltrating gammadelta T cells are composed of clonally expanded circulating and tissue-resident populations. J. Hepatol. 2018;69:654–665. doi: 10.1016/j.jhep.2018.05.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Davey MS, et al. The human Vδ2(+) T-cell compartment comprises distinct innate-like Vγ9(+) and adaptive Vγ9(-) subsets. Nat. Commun. 2018;9:1760. doi: 10.1038/s41467-018-04076-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Heydtmann M, et al. CXC chemokine ligand 16 promotes integrin-mediated adhesion of liver-infiltrating lymphocytes to cholangiocytes and hepatocytes within the inflamed human liver. J. Immunol. 2005;174:1055–1062. doi: 10.4049/jimmunol.174.2.1055. [DOI] [PubMed] [Google Scholar]
  • 44.Curbishley SM, Eksteen B, Gladue RP, Lalor P, Adams DH. CXCR 3 activation promotes lymphocyte transendothelial migration across human hepatic endothelium under fluid flow. Am. J. Pathol. 2005;167:887–899. doi: 10.1016/S0002-9440(10)62060-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Fernandez-Ruiz D, et al. Liver-resident memory CD8(+) T cells form a front-line defense against malaria liver-stage infection. Immunity. 2016;45:889–902. doi: 10.1016/j.immuni.2016.08.011. [DOI] [PubMed] [Google Scholar]
  • 46.Behr, F. M. et al. Blimp-1 rather than hobit drives the formation of tissue-resident memory CD8+ T cells in the lungs. Frontiers in Immunology10, 1–14 (2019). [DOI] [PMC free article] [PubMed]
  • 47.Zhou X, et al. Differentiation and persistence of memory CD8+ T cells depend on T cell factor 1. Immunity. 2010;33:229–240. doi: 10.1016/j.immuni.2010.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Tang Z, Kang B, Li C, Chen T, Zhang Z. GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis. Nucleic Acids Res. 2019;47:W556–W560. doi: 10.1093/nar/gkz430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Pizzolato G, et al. Single-cell RNA sequencing unveils the shared and the distinct cytotoxic hallmarks of human TCRVδ1 and TCRVδ2 γδ T lymphocytes. Proc. Natl Acad. Sci. 2019;116:11906–11915. doi: 10.1073/pnas.1818488116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Rha, M. S., et al. Impaired antibacterial response of liver sinusoidal Vγ9(+)Vδ2(+) T cells in patients with chronic liver disease. Gut71, 605–615 (2021). [DOI] [PubMed]
  • 51.Sugai S, et al. Hepatocellular carcinoma cell sensitivity to Vγ9Vδ2 T lymphocyte-mediated killing is increased by zoledronate. Int J. Oncol. 2016;48:1794–1804. doi: 10.3892/ijo.2016.3403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Benzaïd I, et al. High phosphoantigen levels in bisphosphonate-treated human breast tumors promote Vgamma9Vdelta2 T-cell chemotaxis and cytotoxicity in vivo. Cancer Res. 2011;71:4562–4572. doi: 10.1158/0008-5472.CAN-10-3862. [DOI] [PubMed] [Google Scholar]
  • 53.Cimini E, et al. Zoledronic acid enhances Vδ2 T-lymphocyte antitumor response to human glioma cell lines. Int J. Immunopathol. Pharm. 2011;24:139–148. doi: 10.1177/039463201102400116. [DOI] [PubMed] [Google Scholar]
  • 54.Gober HJ, et al. Human T cell receptor gammadelta cells recognize endogenous mevalonate metabolites in tumor cells. J. Exp. Med. 2003;197:163–168. doi: 10.1084/jem.20021500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Kondo M, et al. Zoledronate facilitates large-scale ex vivo expansion of functional gammadelta T cells from cancer patients for use in adoptive immunotherapy. Cytotherapy. 2008;10:842–856. doi: 10.1080/14653240802419328. [DOI] [PubMed] [Google Scholar]
  • 56.Kakimi, K. et al. Adoptive transfer of zoledronate-expanded autologous Vγ9Vδ2 T-cells in patients with treatment-refractory non-small-cell lung cancer: a multicenter, open-label, single-arm, phase 2 study. J Immunother Cancer8, 1–13 (2020). [DOI] [PMC free article] [PubMed]
  • 57.Wada I, et al. Intraperitoneal injection of in vitro expanded Vγ9Vδ2 T cells together with zoledronate for the treatment of malignant ascites due to gastric cancer. Cancer Med. 2014;3:362–375. doi: 10.1002/cam4.196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Sakamoto M, et al. Adoptive immunotherapy for advanced non-small cell lung cancer using zoledronate-expanded γδTcells: a phase I clinical study. J. Immunother. 2011;34:202–211. doi: 10.1097/CJI.0b013e318207ecfb. [DOI] [PubMed] [Google Scholar]
  • 59.Dieli F, et al. Targeting human {gamma}delta} T cells with zoledronate and interleukin-2 for immunotherapy of hormone-refractory prostate cancer. Cancer Res. 2007;67:7450–7457. doi: 10.1158/0008-5472.CAN-07-0199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Wang H, et al. Indirect stimulation of human Vγ2Vδ2 T cells through alterations in isoprenoid metabolism. J. Immunol. 2011;187:5099–5113. doi: 10.4049/jimmunol.1002697. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Castella B, et al. Immune modulation by zoledronic acid in human myeloma: an advantageous cross-talk between Vγ9Vδ2 T cells, αβ CD8+ T cells, regulatory T cells, and dendritic cells. J. Immunol. 2011;187:1578–1590. doi: 10.4049/jimmunol.1002514. [DOI] [PubMed] [Google Scholar]
  • 62.Castella B, et al. The ATP-binding cassette transporter A1 regulates phosphoantigen release and Vγ9Vδ2 T cell activation by dendritic cells. Nat. Commun. 2017;8:15663. doi: 10.1038/ncomms15663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Roelofs AJ, et al. Peripheral blood monocytes are responsible for gammadelta T cell activation induced by zoledronic acid through accumulation of IPP/DMAPP. Br. J. Haematol. 2009;144:245–250. doi: 10.1111/j.1365-2141.2008.07435.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Richter MV, Topham DJ. The α1β1 integrin and TNF receptor II protect airway CD8+ effector T cells from apoptosis during influenza infection. J. Immunol. 2007;179:5054–5063. doi: 10.4049/jimmunol.179.8.5054. [DOI] [PubMed] [Google Scholar]
  • 65.Yi Y, et al. The functional impairment of HCC-infiltrating gammadelta T cells, partially mediated by regulatory T cells in a TGFbeta- and IL-10-dependent manner. J. Hepatol. 2013;58:977–983. doi: 10.1016/j.jhep.2012.12.015. [DOI] [PubMed] [Google Scholar]
  • 66.Zhao Y, Niu C, Cui J. Gamma-delta (γδ) T cells: friend or foe in cancer development? J. Transl. Med. 2018;16:3. doi: 10.1186/s12967-017-1378-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Ma S, et al. IL-17A produced by γδ T cells promotes tumor growth in hepatocellular carcinoma. Cancer Res. 2014;74:1969. doi: 10.1158/0008-5472.CAN-13-2534. [DOI] [PubMed] [Google Scholar]
  • 68.Gao Y, et al. Gamma delta T cells provide an early source of interferon gamma in tumor immunity. J. Exp. Med. 2003;198:433–442. doi: 10.1084/jem.20030584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Xu Y, et al. Allogeneic Vγ9Vδ2 T-cell immunotherapy exhibits promising clinical safety and prolongs the survival of patients with late-stage lung or liver cancer. Cell. Mol. Immunol. 2021;18:427–439. doi: 10.1038/s41423-020-0515-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Russell RG. Bisphosphonates: the first 40 years. Bone. 2011;49:2–19. doi: 10.1016/j.bone.2011.04.022. [DOI] [PubMed] [Google Scholar]
  • 71.Kobayashi H, Tanaka Y, Yagi J, Minato N, Tanabe K. Phase I/II study of adoptive transfer of γδ T cells in combination with zoledronic acid and IL-2 to patients with advanced renal cell carcinoma. Cancer Immunol. Immunother. 2011;60:1075–1084. doi: 10.1007/s00262-011-1021-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Lang JM, et al. Pilot trial of interleukin-2 and zoledronic acid to augment γδ T cells as treatment for patients with refractory renal cell carcinoma. Cancer Immunol., Immunother. 2011;60:1447–1460. doi: 10.1007/s00262-011-1049-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Meraviglia S, et al. In vivo manipulation of V9V2 T cells with zoledronate and low-dose interleukin-2 for immunotherapy of advanced breast cancer patients. Clin. Exp. Immunol. 2010;161:290–297. doi: 10.1111/j.1365-2249.2010.04167.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Jarry U, et al. Stereotaxic administrations of allogeneic human Vγ9Vδ2 T cells efficiently control the development of human glioblastoma brain tumors. Oncoimmunology. 2016;5:e1168554. doi: 10.1080/2162402X.2016.1168554. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Peer Review File (218.2KB, pdf)
Reporting Summary (78.2KB, pdf)

Data Availability Statement

The raw data for Figs. 17 and Supplementary Figs. 17 are provided in the Source Data file. The gene expression analysis data obtained from the Cancer Genome Atlas database are publicly available through the Gene Expression Profiling Interactive Analysis 2 (GEPIA2) web server, http://gepia2.cancer-pku.cn/#survival48Source data are provided with this paper.


Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES