Summary
Oncolytic viruses show promise in enhancing tumor immunogenicity by releasing immunogenic signals during tumor cell infection and lysis. In this study, we improved the virus-induced tumor immunogenicity of recombinant Semliki Forest virus (rSFV)-based replicon particles by encoding immunogenic cytokines such as C-X-C motif chemokine ligand 10 (CXCL10), FMS-like tyrosine kinase 3 ligand (Flt3L), or interferon-gamma (IFN-ƴ). Real-time imaging and flow cytometry of human cancer cell-based monolayer and spheroid cultures, using LNCaP or PANC-1 cells, revealed effective infection and transgene expression in both models. LNCaP cells exhibited higher and earlier rSFV infection compared to PANC-1 cells. While infected LNCaP cells effectively triggered immune recruitment and T cell activation even without encoding cytokines, PANC-1 cells demonstrated improved immune responses only when infected with replicons encoding cytokines, particularly IFN-ƴ, which enhanced tumor immunogenicity irrespective of cancer cell susceptibility to infection. Our study demonstrates that despite innate phenotypic disparities in cancer cells, rSFV-based replicons encoding cytokines can potentially generate effective immune responses in the tumor.
Subject areas: Immunology, Virology
Graphical abstract
Highlights
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rSFV-replicons effectively express transgenes in tumor monolayer and spheroids
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rSFV-replicons can induce transgene-independent immune recruitment and activation
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Innate disparities in antiviral response influence immune activation by tumor cells
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rSFV-replicons encoding cytokines enhance immune responses across tumor types
Immunology; Virology
Introduction
Cancer immunotherapy relies on modulating the host immune system to induce an anti-tumor response. Oncolytic viruses provide an innovative approach in this regard, not only due to their ability to infect and kill cancer cells but also because they aid in stimulating the host immune system and inducing an anti-tumor response.1,2,3,4 Engineering oncolytic viruses that are safe and potent in inducing strong anti-tumoral immune responses is therefore a promising strategy to improve therapeutic outcomes of cancer immunotherapy.4,5
To develop safe and potentially immunogenic oncolytic virotherapy, we engineered recombinant replicon particles based on Semliki Forest virus (SFV). SFV is a positive-strand RNA virus of the Alphavirus genus. The SFV genome is a replicon, meaning self-replicating as the viral RNA encodes so-called non-structural proteins responsible for RNA replication and translation. The design of recombinant SFV (rSFV) replicon particles involves the deletion of genes encoding the structural proteins of the virus and replacing them with transgenes of interest (Figure 1A). This simultaneously allows the production of high levels of transgene-encoded proteins but also generates safe, “suicidal” replicon particles capable of a single round of infection as they lack the genes encoding structural proteins.
Our group previously demonstrated that cancer vaccines based on rSFV replicon particles engineered to express tumor-associated antigens like E6 and E7 of human papillomavirus (HPV) and non-structural proteins of hepatitis-C virus (HCV) induce potent anti-tumoral immune responses.6,7 We recently also performed a phase 1 clinical trial with HPV-specific rSFV replicon vaccine demonstrating the feasibility, safety, and immunogenicity of this replicon vector system.8,9 A phase 2 trial in patients with a high-grade premalignant lesion of cervical cancer is now ongoing. The replicon particles of this cancer vaccine are injected intramuscularly. Others also studied the efficacy of intratumoral injections of SFV replicon particles as oncolytic virotherapy in murine tumor models. These replicons were engineered to express cytokines like XCL1, IL-12 or FMS-like tyrosine kinase 3 ligand (Flt3L), or checkpoint inhibitors and demonstrated strong T cell-dependent anti-tumor activity in vivo.10,11,12,13
Building upon these promising results, we aimed to investigate the potential of cytokine-encoding rSFV replicon particles to enhance immune responses in the context of human cancers. To assess the impact of these cytokine-encoding rSFV replicon particles, we conducted a comprehensive evaluation of their immunogenic profile. Our primary measure of interest was the extent to which virus-infected cells could recruit and activate immune cells in two distinct experimental setups. First, we utilized monolayer co-cultures of human cancer cells with immune cells, which allowed us to study the immune response in a controlled and simplified environment. Subsequently, to better mimic the tumor microenvironment and its complexities, we utilized spheroids of human cancer cells in our evaluations.
Results
As effective immune responses to oncolytic virotherapy depend on various factors, we investigated rSFV replicon particle-induced immune responses (1) dependent on encoded cytokines, (2) in different target cancer cells, and (3) in the context of cancer cell monolayer or spheroid-based models. We encoded individual cytokines in the SFV replicon genome with the aim to induce recruitment and activation of immune cells: C-X-C motif chemokine ligand 10 (CXCL10) was selected as a recruitment signal and Flt3L and interferon-gamma (IFN-ƴ) as recruitment and activation signals. Notably, these cytokines have been described previously to be associated not only with an immunogenic tumor-microenvironment but also with better prognosis.14,15,16,17,18,19,20 Cancer cell lines (LNCaP and PANC-1) were selected based on their characteristic ability to form spheroids independent of scaffold-matrix, and their HLA-2A positive phenotype to allow co-culture assays with peripheral blood mononuclear cells (PBMC) from HLA-2A typed healthy donors.
Transgene expression by cancer cell monolayers infected with recombinant Semliki Forest virus particles
Through time-lapse microscopy, we first assessed if LNCaP and PANC-1 cancer cells could be infected by rSFV replicon particles encoding the reporter gene for green fluorescent protein (rSFV-GFP). We observed that upon infection with rSFV-GFP particles, both LNCaP and PANC-1 cells stably expressed GFP. GFP expression in LNCaP cells occurred earlier and in a higher percentage of cells (Figure 1B) as compared to PANC-1 cells (Figures 1C and S1). Upon infection with rSFV particles encoding CXCL10, Flt3L or IFN-ƴ, both LNCaP and PANC-1 cells were observed to produce and secrete high amounts of the respective cytokines, detectable from 6 h post-infection (Figures 1D–1F). As expected, non-infected LNCaP or PANC-1 cells did not produce detectable amounts of either CXCL10, Flt3L or IFN-ƴ. Notably, CXCL10 expression was observed in LNCaP cells infected with rSFV particles encoding either of the transgenes studied (Figure 1E).
Immune recruitment by cancer cell monolayers infected with rSFV particles
To assess if rSFV-infected cells induced recruitment of immune cells we determined the level of migration of PBMC through membrane pores of a transwell filter system toward 24-hour-culture supernatants harvested from uninfected or rSFV-infected LNCaP and PANC-1 cells (Figure 2A). Low levels of migration of PBMCs toward supernatants from non-infected cells were observed for PANC-1 but not for LNCaP cells. Migration of PBMC toward the supernatant of both SFV-infected LNCaP and PANC-1 cells occurred in less than 20 min (Figures 2B and 2C). PBMC migration was observed for all SFV-infected LNCaP (Figure 2B) and PANC-1 cell supernatants (Figure 2C), including infection with control particles SFV-GFP. Yet, in two of the three PBMC populations migration of PBMC toward supernatants from infected PANC-1 cells expressing cytokines was higher compared to SFV-GFP-infected cell supernatants. After 24 h, we evaluated the migrated PBMC populations using flow cytometry. In both LNCaP (Figure 2D) and PANC-1 cells (Figure 2E), encoding cytokines led to an additional increase in migration of overall PBMCs, which was significantly high for CD4 and CD8 T cells, but not CD11b myeloid cells.
Activation of T cells by cancer cell monolayers infected with rSFV particles
We measured T cell activation through a co-culture of PBMCs and rSFV-infected cancer cells (Figure 3A). Specifically, in co-cultures with rSFV-infected LNCaP and PANC-1 cells, CD4 and CD8 T cells were found to exhibit a pro-inflammatory profile represented by an increased expression of the activation markers CD69 and CD107 compared to controls with non-infected cancer cells (NT) (Figures 3B and 3C). The expression of the exhaustion marker LAG3 (lymphocyte-activation gene 3) was upregulated on T cells in response to a co-culture with infected cells, while PD1 (programmed cell death protein 1) and CTLA4 (cytotoxic T-lymphocyte associated protein 4) expression did not change. Notably, the co-cultures with infected LNCaP cells induced T cell activation independent of the expressed transgene (Figure 3B). For PANC-1 cells, significant T cell activation was only observed upon co-culture with replicon-infected cells expressing IFN-ƴ (Figure 3C). Remarkably, the exhaustion marker LAG3 showed a higher upregulation in CD8 T cells compared to CD4 T cells. This may be attributed to the robust activation of CD8 T cells in the non-infected condition, as evidenced by the elevated expression of CD69 on T cells in the absence of infection (Figure S3).
Transgene expression in cancer spheroids infected with rSFV particles
We established a spheroid-based assay to evaluate the potential of rSFV particles to enhance immune responses in a 3D model. Using time-lapse microscopy, we first assessed if cancer spheroids derived from LNCaP or PANC-1 cells could be infected and if replicon-encoded transgenes were expressed in detectable quantities (Figure 4A). LNCaP and PANC-1 spheroids were observed to have innate differences in morphology and cell organization; LNCaP-spheroids were more compact and smaller as compared to the loose and large PANC-1-spheroids (Figures 4B and 4C, brightfield images). Despite morphological differences, both spheroids could be infected as indicated by the expression of GFP (Figures 4B and 4C, fluorescence images). Similar to the monolayer-experiment, the number of GFP-positive cells could be observed earlier in LNCaP-spheroids compared to PANC-1 spheroids (Figures 4B and 4C). Through confocal microscopy, GFP-positive cells were also found to be present within the mass of the spheroid and not only at the periphery (Figure 4D).
Immune recruitment by cancer-spheroids infected with rSFV particles
We used the spheroid-based 3D model to study the recruitment of PBMC-derived immune cells toward and into the spheroids (Figure 5A). Microscopy-based counting indicated an increased number of FarRed stained PBMC associated with both LNCaP- and PANC-1-spheroids over time (Figure 5B). With LNCaP-spheroids, replicon-infected spheroids had a higher PBMC count as compared to non-infected spheroids, which was irrespective of the transgene expressed. (Figure 5C). Whereas, with PANC-1-spheroids, replicon-infected spheroids had a higher PBMC count while furthermore, expression of IFN-ƴ enhanced this effect (Figure 5D). Notably, this increase in PBMC count associated with the spheroids was comparable to that of T cells stimulated overnight with CD3-CD8 antibodies prior to co-culture.
Activation of T cells by cancer spheroids infected with rSFV particles
Using the spheroid-based co-culture model, we investigated the potential of rSFV-infected cancer cells to induce T cell activation within the spheroid. Specifically, we assessed the difference in phenotypes of CD4 and CD8 T cells that were found associated with the spheroids in reference to those found in suspension outside the spheroids (Figure 6A). Co-culture with replicon-infected LNCaP-spheroids (Figure 6B) or specifically SFV-IFN-ƴ-infected PANC-1-spheroids (Figure 6C) upregulated activation markers CD69 and CD107, on CD4 and CD8 T cells present in suspension or associated with spheroids. There was little difference in the transgene-dependent activation/exhaustion phenotypic profile of T cells associated with different replicon-infected LNCaP-spheroids. Whereas, in SFV-IFN-ƴ infected PANC-1-spheroids a significant change in activation/exhaustion phenotype was observed, indicating IFN-ƴ dependent immunogenic effects.
Discussion
Immune recruitment and activation are often considered as a critical hallmark of immunogenic tumors and a prognostic factor of effective cancer immunotherapy.21,22,23 We therefore set out to engineer a safe and effective SFV-based oncolytic virotherapy aimed to enhance the immunogenicity of the tumor microenvironment. Utilizing human-based monolayer and 3D cancer models, we showed that rSFV replicon particles can efficiently express high levels of encoded cytokines in target cancer cells, leading to robust immune recruitment and activation in both models. Importantly, our findings indicate that infection with rSFV replicon particles can induce potent immune responses, which can be further improved by encoding multifunctional cytokines such as IFN-γ. These results highlight the potential of our engineered virotherapy as a promising strategy to promote immunogenicity in tumors, potentially contributing to more effective cancer immunotherapy outcomes.
Even without encoding immunogenic cytokines (SFV-GFP replicon particles), rSFV-infected cancer cells induced strong migration of PBMC through a transwell and caused upregulation of CD4 and CD8 T cell degranulation (CD107) and differentiation (CD69) markers in cancer cell monolayers. A similar effect was observed in the attraction of PBMC and activation of CD4 and CD8 T cells in the spheroid-based 3D model. Interestingly, both LNCaP and PANC-1 rSFV-infected cells induced migration of myeloid cells (CD11b+ cells) independent of cytokine expression. These results are supported by various studies that describe SFV-replicon particles to be natively capable of initiating immune responses by causing cancer cell death coupled with release of RNA transcripts activating Toll-like receptors and type-I interferon responses.24,25 Moreover, SFV-induced oncolysis is known to increase availability of cancer antigens and expression of co-stimulatory molecules leading to an efficient antigen-presentation for an adaptive immune response.12,13
Although rSFV-infected LNCaP and PANC-1 cells generated immune responses independent of encoded transgenes, our research also revealed that encoding cytokines could enhance these responses. For PANC-1 cells, especially infection with SFV-IFN-ƴ induced a significantly stronger immune response in the recruitment and activation of T cells compared to other rSFV replicon particles. The different responses between LNCaP and PANC-1 cells may, apart from the origin and other intrinsic differences, be due to the lack of an active interferon signaling pathway in LNCaP cells.26 Conversely, PANC-1 cells can actively initiate interferon-mediated antiviral responses. To unravel if the differences between the cell lines could be ascribed to this antiviral response, we also blocked the interferon pathway in PANC-1 cells by ruxolitinib (Figure S7A), which only modestly enhanced the number of GFP expressing PANC-1 cells upon infection with SFV-GFP (Figure S7B). Moreover, the increase in the number of GFP-expressing cells did not result in enhanced immune activation by rSFV-infection alone and still depended on the expression of IFN-y by infected PANC-1 cells (Figures S7C, S7D, and S8). This suggests the possibility of other phenotypic differences between these cell lines such as variations in viral entry and replication, antigen presentation, immunomodulatory factors, microenvironment influences, and genetic variations which may contribute to the observed differences in immune activation upon rSFV infection.
Innate disparities in the response to viral infection are evident between LNCaP and PANC-1 cells, as demonstrated by distinct baseline gene expressions of antiviral immune proteins (Figure S10A). Notably, LNCaP cells exhibit downregulated JAK1 and STAT1 compared to PANC-1 cells, potentially influencing their differential responses upon infection. Additionally, upon SFV-GFP infection, LNCaP cells exhibit significantly higher expression of IFN-β and CXCL10 than PANC-1 cells (Figure S10B), which could be explained by the elevated levels of RIG-I or TLR3 expression in LNCaP, leading to better RNA-sensing and boosting of subsequent immune responses. These observations also suggest that in addition to transgenic-cytokines, there may also be differences in innate host-encoded cytokines and immunomodulatory factors between LNCaP and PANC-1 cells which can also influence immune recruitment and activation. These innate differences between LNCaP and PANC-1 also influence the expression of rSFV-encoded transgenes, with Flt3L, CXCL10, and IFN-γ concentrations being notably higher in LNCaP than PANC-1 at 6 h post-infection. This agrees with the kinetics of GFP expression in these cell lines, where LNCaP cells start expressing GFP earlier than PANC-1 cells. Despite initial disparities, the levels and kinetics of respective transgenic expression between the two cell lines converge at 24 and 48 h. Finally, variations in the kinetics of respective cytokines may stem from innate differences in protein folding, secretion efficacy, and individual cytokine half-lives. Surprisingly, LNCaP cells express CXCL10 upon SFV-replicon particle infection independent of encoded transgenes, with detectable expression at 6 h, suggesting innate cellular induction. This unexpected finding challenges conventional understanding, as CXCL10 is typically associated with interferon signaling, which is compromised in LNCaP cells lacking JAK1 gene expression (Figure S10A and Dunn et al.26). Our qPCR analysis reveals significantly elevated RIG-I and TLR3 expression in LNCaP cells compared to PANC-1 upon rSFV-infection even in the absence of transgenic-CXCL10 expression (Figure S10B). This aligns with higher cellular CXCL10 mRNA expression in LNCaP cells compared to PANC-1 upon rSFV infection, supporting the hypothesis that innate non-conventional cellular pathways, such as NF-kB or IRF3 activation,27,28,29 play a role in SFV-induced CXCL10 expression independent of the JAK-STAT pathway. Nevertheless, encoding cytokines in rSFV replicon particles can induce a robust release of cytokines and enhance the immune response, irrespective of cancer cell sensitivity to oncolysis. In this way, inducing a stronger immune response by encoding relevant immunogenic transgenes can be a complementary mechanism to increase tumor immunogenicity. This is relevant considering that more than 80% of cancer samples from patients were found not to harbor defects in antiviral signaling (Figure S9)30 or may even exhibit other unexplored resistance mechanisms.31
Encoding specific cytokines in rSFV-replicon particles enhances tumor immunogenicity; however, the outcomes of such immune modulation can vary based on the chosen cytokines. Our results show that encoding CXCL10 and Flt3L predominantly enhance immune recruitment rather than immune activation, as observed in the case of IFN-y. CXCL10, also known as IFN-ƴ-induced protein 10 (IP-10), acts as a chemoattractant for immune cells like T cells and natural killer (NK) cells.32,33 By encoding CXCL10, rSFV-replicon particles can enhance the recruitment of these immune cells to the tumor site, creating a more favorable environment for immune responses. Similarly, Flt3L is known to increase the production and maturation of dendritic cells, crucial players in initiating immune responses.34 However, while these cytokines facilitate immune cell migration and maturation, they might not directly activate these cells to the extent needed for robust antitumor immune responses.12,35,36 In contrast, encoding IFN-y in rSFV-replicon particles can trigger more direct and potent immune activation. IFN-y is a key cytokine that stimulates multiple immune pathways,37 including enhancing antigen presentation,38 boosting T cell cytotoxicity,39 and promoting inflammatory responses.37,40,41 These mechanisms collectively lead to a more comprehensive immune activation against cancer cells. Therefore, while CXCL10 and Flt3L play vital roles in recruiting immune cells to the tumor microenvironment, they might require additional cytokines or signals to induce full immune activation. In contrast, IFN-gamma’s ability to directly stimulate various immune mechanisms makes it a more potent activator of antitumor immune responses.
Our findings regarding the activation of immune responses by rSFV are consistent with previously reported observations. Especially, Smerdou and group have demonstrated that rSFV-particles expressing IL-12 or a combination of XCL1 and Flt3L can induce strong T cell-dependent anticancer activity in murine tumor models, which could be further enhanced by immune-checkpoint blockade.12,13 Importantly, these studies have shown that rSFV-particles can successfully induce local and systemic antitumor immunity in animal models, thus supporting the promise of a potential cancer immunotherapy in the clinic. Likewise, different oncolytic viruses engineered to carry immunogenic molecules, such as chemokines, cytokines, T cell-engagers, or checkpoint-blocking antibodies, have provided evidence supporting the approach of enhancing tumor immunogenicity to enhance therapeutic outcomes.3,5,42
The primary focus of our study was to study oncolytic virus induced immune recruitment and activation, which provides groundwork for further studies to also include assessment of antitumor activity. In future perspectives, it would be beneficial to explore additional factors such as the influence of the immune microenvironment, which may influence the antitumor response generated by oncolytic viruses. Expanding the assessment to include the impact of rSFV replicon particles on other immune cell types, such as NK cells, and dendritic cells, could provide valuable insights. Additionally, conducting a head-to-head comparison of immune responses generated between spheroid-based models and in vivo humanized murine models with xenograft tumors could offer a more systemic and comprehensive evaluation. Moreover, utilizing patient-derived organoids as an alternative model system may be crucial in elucidating the variability in rSFV particle-induced immune responses, considering the potential inter-patient and intra-tumoral heterogeneity. By addressing these aspects, future studies can contribute to refining the understanding and potential applications of oncolytic virotherapy for improving cancer immunotherapy outcomes.
In summary, our results describe that the expression of immunogenic cytokines results in an additive effect on the immunogenic potential of rSFV-particles. rSFV-mediated infection and oncolysis release inflammatory signals that cause rapid recruitment of immune cells and effective T cell activation in cancer monolayer and spheroid-based models. Furthermore, these insights open up exciting avenues toward more safe, effective, and universal approaches to combat cancer using oncolytic virotherapy.
Limitations of the study
The immune-stimulatory effects of rSFV replicon particles encoding cytokines was demonstrated in tumor-immune spheroid and monolayer co-cultures. The antitumor killing mediated by the immune cells remains to be explored. Moreover, the study does not fully consider the intricate influence of the immune microenvironment, and our emphasis on T cell responses may not fully capture the broader spectrum of immune cell dynamics. Expanding the study to address these gaps and to assess rSFV efficacy across different tumor types in patient derived organoids holds potential.
STAR★Methods
Key resources table
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
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Antibodies | ||
PE anti-human CD223 (LAG-3) 11C3C65 | Biolegend | 369306 |
Brilliant Violet 421™ anti-human CD152 (CTLA-4) BNI3 | Biolegend | 369606 |
APC anti-human CD279 (PD-1) A17188B | Biolegend | 621610 |
PE anti-human CD107a H4A3 | Biolegend | 328608 |
APC anti-human CD69 FN50 | Biolegend | 310910 |
Brilliant Violet 421™ anti-human CD38 HIT2 | Biolegend | 303526 |
APC/Cyanine7 anti-human CD8 SK11 | Biolegend | 344714 |
FITC anti-human CD4 OKT4 | Biolegend | 317408 |
Bacterial and virus strains | ||
Plasmid (Helper-2 and SFV-transgene) constructs to produce recombinant SFV replicon particles | Liljestrom lab, Karolinska Institutet Sweden | NA |
E coli K12 JM110 | Agilent | 200239 |
Biological samples | ||
Human buffy coats for PBMC isolation from HLA2A-typed healthy donors | Sanquin, Nijmegen, The Netherlands | NA |
Chemicals, peptides, and recombinant proteins | ||
Restriction enzyme PspOMI | ThermoFischer Scientific | ER0131 |
Restriction enzyme XmaI | ThermoFischer Scientific | ER0171 |
Restriction enzyme SpeI | ThermoFischer Scientific | ER1251 |
SP6 polymerase | Amersham Pharmacia Biotech, Piscataway, US | NA |
α-chymotrypsin | Sigma Aldrich | C4129 |
Aprotinin | Sigma Aldrich | A1153 |
Celltrace FarRed dye | Invitrogen | C34572 |
Ruxolitinib | Stem Cell Technologies | 73402 |
TRIzol RNA extraction reagent | Thermofischer Scientific | 15596018 |
Critical commercial assays | ||
ELISA kit for CXCL10 | Biolegend | 439904 |
ELISA kit for Flt3L | RnD systems | DFK00 |
ELISA kit for CXCL10 | Biolegend | 430101 |
TB Green® Premix Ex Taq™ (Tli RNase H Plus) | TAKARA | RR420W |
PrimeScript™ RT Reagent Kit with gDNA Eraser (Perfect Real Time) | TAKARA | RR047A |
Experimental models: Cell lines | ||
Hamster, BHK-21 cells | ATCC | ccl-10 |
Human, LNCaP cells | ATCC | crl-1740 |
Human, PANC-1 cells | ATCC | crl-1469 |
Oligonucleotides | ||
Human nfkb1 gene Forward: GCAGCACTACTTCTTGACCACC Reverse: TCTGCTCCTGAGCATTGACGTC |
This paper | NA |
Human stat1 gene Forward: ATGGCAGTCTGGCGGCTGAATT Reverse: CCAAAACCAGGCTGGCACAATTG |
This paper | NA |
Human ddx58 (RIG-I) gene Forward: CACCTCAGTTGCTGATGAAGGC Reverse: GTCAGAAGGAAGCACTTGCTACC |
This paper | NA |
Human tlr3 gene Forward: GCGCTAAAAAGTGAAGAACTGGAT Reverse: GCTGGACATTGTTCAGAAAGAGG |
This paper | NA |
Human myd88 gene Forward: GAGGCTGAGAAGCCTTTACAGG Reverse: GCAGATGAAGGCATCGAAACGC |
This paper | NA |
Human cxcl10 gene Forward: GGTGAGAAGAGATGTCTGAATCC Reverse: GTCCATCCTTGGAAGCACTGCA |
This paper | NA |
Human ifn-beta1 gene Forward: GGTTACCTCCGAAACTGAAGA Reverse: CCTTTCATATGCAGTACATTAGCC |
This paper | NA |
Human gapdh gene Forward: GTCTCCTCTGACTTCAACAGCG Reverse: ACCACCCTGTTGCTGTAGCCAA |
This paper | NA |
Recombinant DNA | ||
Human CXCL10 gene | This paper | NA |
Human IFN-gamma gene | This paper | NA |
Human Flt3L gene | This paper | NA |
Software and algorithms | ||
Graphpad Prism | Graphpad | https://www.graphpad.com/ |
Incucyte® Software Modules | Sartorious | https://www.sartorius.com/ |
FlowJo | FlowJo | https://www.flowjo.com/ |
Other | ||
Transwells 3 μm pore size | Grenier | 662630 |
Nunclon Sphera 96 well plates | ThermoFischer Scientific | 174925 |
Resource availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact Toos Daemen (c.a.h.h.daemen@umcg.nl).
Materials availability
All unique reagents generated in the study are available upon request.
Data and code availability
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•
All data reported in this paper will be shared by the lead contact upon request.
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•
This paper does not report original code.
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•
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
Method details
Cell culture
Cancer cells (LNCaP, PANC-1) or BHK21 cells were cultured at 37°C with 5% CO2 in RPMI medium (Life Technologies, Paisley, UK) supplemented with 10% fetal bovine serum and 100 U/ml penicillin (Life Technologies) and 100 μg/ml streptomycin (Life Technologies). This media composition is referred to later as complemented media. The culture and passage of the LNCaP cell line was always done in flasks or plates pretreated with 0.01% of poly-l-lysine. PBMC were similarly cultured in RPMI medium, supplemented with 10% fetal bovine serum and 100 U/ml streptomycin and penicillin.
Design of rSFV-particles
The helper RNA system developed previously by Smerdou and Liljestrom allows the production of rSFV-replicon particles that are capable of expressing transgenes and of a single round of infection.43 Our lab has previously adopted this rSFV system to engineer high-level antigen expression for safe therapeutic vaccines.44 Using this system as a starting point, we designed three different rSFV-replicons that encode for a single cytokine - Flt3L, IFN-ƴ, and CXCL10 respectively. Similarly, we also designed rSFV-particles encoding enhanced green fluorescent protein (EGFP). Briefly, the transgenes were ordered as a DNA construct (Eurofins Genomics, Ebensburg, Germany) and were cloned in the SFV-replicon backbone plasmid (pSFV) by using PspOMI and XmaI as restriction sites and E. coli JM110 as the competent cell chassis. Furthermore, Sanger sequencing was performed on isolated colonies to validate cloning (Eurofins Genomics). A schematic diagram of SFV-replicon expressing cytokines is shown in Figure 1A.
rSFV-particle production
pSFV containing respective transgenes and a SFV-Helper2 plasmid were linearized by digestion with SpeI (Life Technologies) for RNA synthesis by SP6 polymerase (Amersham Pharmacia Biotech, Piscataway, US) mediated in vitro transcription in the presence of capping analog (Life Technologies). Subsequently, pVREP RNA and SFV-Helper-2 RNA were mixed in a 2:1 ratio and co-transfected in BHK-21 cells in the presence of electroporation buffer using the BioRad Gene Pulser II (2 pulses of 850 V / 25 μF; BioRad, Hercules, US). After electroporation, the cells were cultured in RPMI-1640 medium supplemented with 5% (v/v) fetal calf serum (FCS), 100 U/ml penicillin and 100 μg/ml streptomycin for 48 hours at 30°C with 5% CO2. The rSFV particles were purified by means of discontinuous sucrose density gradient ultracentrifugation and stored in TNE buffer as aliquots at -80°C. Before use, all rSFV particles were activated by the addition of 1:20 volume 10 mg/ml α-chymotrypsin (Sigma Chemical, St. Louis, US) and 2 mM CaCl2 for 30 minutes to cleave the mutated spike proteins. After which, the α-chymotrypsin was inactivated by the addition of 1:2 volume 2 mg/ml aprotinin (Sigma Chemical).
Titer determination of rSFV-particles
Titer determination of rSFV-particles was performed as described previously.45 Briefly, rSFV-particles were titrated by serial dilution on monolayers of BHK-21 cells (45000 cells) cultured in LabTek slides. After infection and incubation for 24 hours, the cells were fixed in 10% (w/v) acetone and further stained for nsP3 using a primary polyclonal rabbit-anti-nsP3 antibody (1:2000 dilution), whilst a secondary Cy3-labeled animal-anti-rabbit antibody (1:200 dilution) was used to amplify the signal. Positive cells were counted using fluorescence microscopy, and the titers were determined after considering the dilution factor.
Incucyte-based microscopy to quantify infectivity of rSFV-particles
LNCaP and PANC-1 cells were plated overnight (10,000 cells per well in 96 well plates) and then infected with different multiplicity of infection (MOI) of rSFV-GFP particles. Incucyte-based brightfield and fluorescence microscopy was performed over time to assess the morphology and infectivity respectively. The number of GFP-expressing cells in an image was used as a measure of rSFV-GFP infectivity.
Validation of cytokine expression and secretion in supernatant
LNCaP and PANC-1 cells were plated overnight (40,000 cells per well in 48 well plate) and then infected with MOI-10 of different rSFV-particles. Supernatants from cell culture were collected at 6, 24, and 48 hours post-infection and stored at -20°C for further testing. Enzyme-linked immunosorbent assay (ELISA) was performed using the supernatants to quantify the amount of secreted CXCL10 (439904, BioLegend), IFN-ƴ (430101, BioLegend) and Flt3L (DFK00, RnD Systems) using kits according to the suppliers’ protocol.
Monolayer based transwell assay for immune recruitment
LNCaP and PANC-1 cells were plated overnight (400,000 cells per well in 6 well plates) and then infected with MOI-10 of different rSFV-particles. Supernatants from cell cultures were collected at 24 hours post-infection and stored at -20°C for further testing. Transwells of 3 μm pore size (662630, Greiner) were used to set up the migration assay in a 24-well plate. The bottom chamber was filled with 500 μl supernatant collected from infected LNCaP or PANC-1 cells. Freshly thawed peripheral blood mononuclear cells (PBMC) from HLA-2 typed healthy donors were resuspended in complemented media containing 5% serum and added in the transwell top chamber (500,000 cells per insert). Migration was immediately quantified using Incucyte-based brightfield microscopy. The number of migrated cells was counted using the Incucyte-analysis software.
Monolayer-based co-culture assay for T cell activation
LNCaP and PANC-1 cells were plated overnight (100,000 cells per well in 24 well plates) and then infected with MOI-10 of different rSFV-particles. The replicon particles remaining in the supernatant were washed away 24 hours post-infection in order to focus on immune activation mediated by infected cancer cells and not directly by replicon particles. Freshly thawed PBMC from HLA-2A-typed healthy donors were co-cultured with the infected cancer cells for 24 hours. Later, cells were collected and processed for flow cytometry-based analysis of CD4 and CD8 -T cell populations for activation markers.
Antibodies used for flow cytometry
Antibody target | Company | #Catalog |
---|---|---|
PE anti-human CD223 (LAG-3) 11C3C65 | Biolegend | 369306 |
Brilliant Violet 421™ anti-humanCD152 (CTLA-4) BNI3 | Biolegend | 369606 |
APC anti-human CD279 (PD-1) A17188B | Biolegend | 621610 |
PE anti-human CD107a H4A3 | Biolegend | 328608 |
APC anti-human CD69 FN50 | Biolegend | 310910 |
Brilliant Violet 421™ anti-human CD38 HIT2 | Biolegend | 303526 |
APC/Cyanine7 anti-human CD8 SK11 | Biolegend | 344714 |
FITC anti-human CD4 OKT4 | Biolegend | 317408 |
Characterization of rSFV-infection in cancer-spheroids
LNCaP and PANC-1 cells were plated overnight (10,000 cells per well in Nunclon Sphera 96 well plates, 174925, ThermoScientific). To ensure spheroid formation, the plate was centrifuged at 1500 RPM for 10 mins at 20°C before overnight incubation. The spheroids were infected with different MOI of rSFV-GFP particles to quantify infectivity. Incucyte-based brightfield and fluorescence microscopy were performed over time to assess the morphology and infectivity of the spheroid respectively. The number of GFP-expressing cells in an image was used as a measure of rSFV-GFP infectivity. Confocal fluorescence microscopy was performed using the CD7 platform to quantify the depth at which rSFV-GFP particles can infect cells in the spheroid.
Spheroid-based co-culture assay for immune penetration and association
LNCaP and PANC-1 spheroids were infected with different rSFV-particles. 24 hours post-infection, freshly thawed PBMC from HLA-2A-typed healthy donors were first labeled with Celltrace FarRed (C34572, Invitrogen) and then co-cultured (100,000 cells per well) with the infected spheroids. PBMC association and penetration in the spheroid were quantified over time using Incucyte-based fluorescence microscopy. FarRed positive cells present in or on the spheroids were counted per image for quantifying the degree of PBMC penetration and association.
Spheroid-based co-culture assay for T cell activation
LNCaP and PANC-1 spheroids were infected with different rSFV-particles. 24 hours post-infection, freshly thawed PBMCs from HLA2A-typed healthy donors (100,000 cells per well) were added to the infected spheroids. After 24 hours of co-culture, PBMC from the culture suspension were collected separately. Simultaneously, the spheroids were collected and pooled (6 spheroids per replicate) to have enough events for flow cytometry. Spheroid samples were washed with PBS to remove loosely attached PBMC. Subsequently, the spheroids were dissociated using Trypsin-EDTA for 2 minutes to collect PBMC associated with spheroids. Finally, PBMC from suspension and PBMC associated with spheroids were stained for CD4 and CD8 -T cell populations along with immune activation markers for flow cytometry analysis.
Blocking of interferon pathway in PANC-1 cells with Ruxolitinib
Overnight cultured PANC-1 cells were treated with 400nM or 2μM Ruxolitinib (Stem Cell technologies) for 2 hours before infection with rSFV-particles. Next, rSFV-particles were resuspended in fresh media along with the required concentration of Ruxolitinib and added to the PANC-1 cells for infection. 24 hours post-infection the media was removed and cells were washed with PBS before adding PBMCs with fresh media for a co-culture assay.
RT-qPCR analysis of antiviral gene expression in LNCaP and PANC-1 cells
Overnight cultured LNCaP or PANC-1 cells were infected with MOI-10 of rSFV-GFP replicon particles. 24 hours post infection, cells were harvested and processed for RNA isolation by TRIzol reagent (ThermoFischer) according to the recommended protocol. cDNA was synthesized using 1 μg of isolated RNA (Takara-Bio) and Real-Time PCR was performed using SyBR Green chemistry (Takara-Bio) for quantification. For each sample the real time PCR was performed in technical duplicates. Gene expression levels were normalized to the expression of The relative gene expression (fold change) was assessed by the comparative Ct (2-ΔΔCt) method, according to Livak and Schmittgen,46 where expression of glyceraldehyde 3-phosphate dehydrogenase was used as endogenous control and the uninfected cells were used as reference sample.
Primers used for rt-qPCR for antiviral genes
Target gene | Primer sequence |
---|---|
nfkb1 | Forward: GCAGCACTACTTCTTGACCACC Reverse: TCTGCTCCTGAGCATTGACGTC |
stat1 | Forward: ATGGCAGTCTGGCGGCTGAATT Reverse: CCAAAACCAGGCTGGCACAATTG |
ddx58 (RIG-I) | Forward: CACCTCAGTTGCTGATGAAGGC Reverse: GTCAGAAGGAAGCACTTGCTACC |
tlr3 | Forward: GCGCTAAAAAGTGAAGAACTGGAT Reverse: GCTGGACATTGTTCAGAAAGAGG |
myd88 | Forward: GAGGCTGAGAAGCCTTTACAGG Reverse: GCAGATGAAGGCATCGAAACGC |
cxcl10 | Forward: GGTGAGAAGAGATGTCTGAATCC Reverse: GTCCATCCTTGGAAGCACTGCA |
ifn-beta1 | Forward: GGTTACCTCCGAAACTGAAGA Reverse: CCTTTCATATGCAGTACATTAGCC |
gapdh | Forward: GTCTCCTCTGACTTCAACAGCG Reverse: ACCACCCTGTTGCTGTAGCCAA |
Quantification and statistical analysis
Experimental data represents the mean ± SEM of the number of replicates. Significance was determined by one-way or two-way analysis of variance (ANOVA) followed by a Boneferroni post hoc test using Graphpad Prism 9 (GraphPad. San Diego, CA, USA). A p value of 0.05 was considered a statistically significant difference between compared groups (∗ = p < .05, ∗∗ = p < .01 and ∗∗∗ = p < .001). Graphs were made using Rstudio and Graphpad Prism 9.
Acknowledgments
This work was supported by ATTP-GSMS PhD scholarship (Abel Tasman Talent Program to D.K.B.).
Author contributions
All authors made substantial contributions to the manuscript. Conception and design, D.K.B. and T.D.; supervision and funding acquisition, T.D.; collection and assembly of data, D.K.B., S.L.M., and B.N.H; data analysis and interpretation, D.K.B., S.L.M., B.N.H., and T.D.; manuscript writing, D.K.B., S.L.M., B.N.H., and T.D. All authors reviewed the manuscript and approved the final version for submission.
Declaration of interests
T.D. is co-founder of ViciniVax, a spin-off from the University of Groningen, developing therapeutic cancer vaccines.
Published: February 16, 2024
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.isci.2024.109253.
Supplemental information
References
- 1.Russell S.J., Peng K.-W., Bell J.C. Oncolytic virotherapy. Nat. Biotechnol. 2012;30:658–670. doi: 10.1038/nbt.2287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bhatt D.K., Wekema L., Carvalho Barros L.R., Chammas R., Daemen T. A systematic analysis on the clinical safety and efficacy of Onco-Virotherapy. Mol. Ther. Oncolytics. 2021;23:239–253. doi: 10.1016/j.omto.2021.09.008. S2372770521001364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Twumasi-Boateng K., Pettigrew J.L., Kwok Y.Y.E., Bell J.C., Nelson B.H. Oncolytic viruses as engineering platforms for combination immunotherapy. Nat. Rev. Cancer. 2018;18:419–432. doi: 10.1038/s41568-018-0009-4. [DOI] [PubMed] [Google Scholar]
- 4.Martin N.T., Bell J.C. Oncolytic Virus Combination Therapy: Killing One Bird with Two Stones. Mol. Ther. 2018;26:1414–1422. doi: 10.1016/j.ymthe.2018.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.de Gruijl T.D., Janssen A.B., van Beusechem V.W. Arming oncolytic viruses to leverage antitumor immunity. Expert Opin. Biol. Ther. 2015;15:959–971. doi: 10.1517/14712598.2015.1044433. [DOI] [PubMed] [Google Scholar]
- 6.Walczak M., de Mare A., Riezebos-Brilman A., Regts J., Hoogeboom B.-N., Visser J.T., Fiedler M., Jansen-Dürr P., van der Zee A.G.J., Nijman H.W., et al. Heterologous prime-boost immunizations with a virosomal and an alphavirus replicon vaccine. Mol. Pharm. 2011;8:65–77. doi: 10.1021/mp1002043. [DOI] [PubMed] [Google Scholar]
- 7.Ip P.P., Boerma A., Regts J., Meijerhof T., Wilschut J., Nijman H.W., Daemen T. Alphavirus-based vaccines encoding nonstructural proteins of hepatitis C virus induce robust and protective T-cell responses. Mol. Ther. 2014;22:881–890. doi: 10.1038/mt.2013.287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Komdeur F.L., Singh A., van de Wall S., Meulenberg J.J.M., Boerma A., Hoogeboom B.N., Paijens S.T., Oyarce C., de Bruyn M., Schuuring E., et al. First-in-Human Phase I Clinical Trial of an SFV-Based RNA Replicon Cancer Vaccine against HPV-Induced Cancers. Mol. Ther. 2021;29:611–625. doi: 10.1016/j.ymthe.2020.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Jorritsma-Smit A., van Zanten C.J., Schoemaker J., Meulenberg J.J.M., Touw D.J., Kosterink J.G.W., Nijman H.W., Daemen T., Allersma D.P. GMP manufacturing of Vvax001, a therapeutic anti-HPV vaccine based on recombinant viral particles. Eur. J. Pharm. Sci. 2020;143 doi: 10.1016/j.ejps.2019.105096. [DOI] [PubMed] [Google Scholar]
- 10.Quetglas J.I., Fioravanti J., Ardaiz N., Medina-Echeverz J., Baraibar I., Prieto J., Smerdou C., Berraondo P. A Semliki Forest virus vector engineered to express IFNα induces efficient elimination of established tumors. Gene Ther. 2012;19:271–278. doi: 10.1038/gt.2011.99. [DOI] [PubMed] [Google Scholar]
- 11.Quetglas J.I., Labiano S., Aznar M.Á., Bolaños E., Azpilikueta A., Rodriguez I., Casales E., Sánchez-Paulete A.R., Segura V., Smerdou C., Melero I. Virotherapy with a Semliki Forest Virus–Based Vector Encoding IL12 Synergizes with PD-1/PD-L1 Blockade. Cancer Immunol. Res. 2015;3:449–454. doi: 10.1158/2326-6066.CIR-14-0216. [DOI] [PubMed] [Google Scholar]
- 12.Sánchez-Paulete A.R., Teijeira Á., Quetglas J.I., Rodríguez-Ruiz M.E., Sánchez-Arráez Á., Labiano S., Etxeberria I., Azpilikueta A., Bolaños E., Ballesteros-Briones M.C., et al. Intratumoral Immunotherapy with XCL1 and sFlt3L Encoded in Recombinant Semliki Forest Virus-Derived Vectors Fosters Dendritic Cell-Mediated T-cell Cross-Priming. Cancer Res. 2018;78:6643–6654. doi: 10.1158/0008-5472.CAN-18-0933. [DOI] [PubMed] [Google Scholar]
- 13.Ballesteros-Briones M.C., Martisova E., Casales E., Silva-Pilipich N., Buñuales M., Galindo J., Mancheño U., Gorraiz M., Lasarte J.J., Kochan G., et al. Short-Term Local Expression of a PD-L1 Blocking Antibody from a Self-Replicating RNA Vector Induces Potent Antitumor Responses. Mol. Ther. 2019;27:1892–1905. doi: 10.1016/j.ymthe.2019.09.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bronger H., Singer J., Windmüller C., Reuning U., Zech D., Delbridge C., Dorn J., Kiechle M., Schmalfeldt B., Schmitt M., Avril S. CXCL9 and CXCL10 predict survival and are regulated by cyclooxygenase inhibition in advanced serous ovarian cancer. Br. J. Cancer. 2016;115:553–563. doi: 10.1038/bjc.2016.172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Reschke R., Yu J., Flood B., Higgs E.F., Hatogai K., Gajewski T.F. Immune cell and tumor cell-derived CXCL10 is indicative of immunotherapy response in metastatic melanoma. J. Immunother. Cancer. 2021;9 doi: 10.1136/jitc-2021-003521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.King G.D., Kroeger K.M., Bresee C.J., Candolfi M., Liu C., Manalo C.M., Muhammad A.G., Pechnick R.N., Lowenstein P.R., Castro M.G. Flt3L in combination with HSV1-TK-mediated gene therapy reverses brain tumor-induced behavioral deficits. Mol. Ther. 2008;16:682–690. doi: 10.1038/mt.2008.18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Prokopi A., Tripp C.H., Tummers B., Hornsteiner F., Spoeck S., Crawford J.C., Clements D.R., Efremova M., Hutter K., Bellmann L., et al. Skin dendritic cells in melanoma are key for successful checkpoint blockade therapy. J. Immunother. Cancer. 2021;9 doi: 10.1136/jitc-2020-000832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ayers M., Lunceford J., Nebozhyn M., Murphy E., Loboda A., Kaufman D.R., Albright A., Cheng J.D., Kang S.P., Shankaran V., et al. IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade. J. Clin. Invest. 2017;127:2930–2940. doi: 10.1172/JCI91190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gao Y., Yang J., Cai Y., Fu S., Zhang N., Fu X., Li L. IFN-γ-mediated inhibition of lung cancer correlates with PD-L1 expression and is regulated by PI3K-AKT signaling. Int. J. Cancer. 2018;143:931–943. doi: 10.1002/ijc.31357. [DOI] [PubMed] [Google Scholar]
- 20.Todorović-Raković N., Milovanović J., Greenman J., Radulovic M. The prognostic significance of serum interferon-gamma (IFN-γ) in hormonally dependent breast cancer. Cytokine. 2022;152 doi: 10.1016/j.cyto.2022.155836. [DOI] [PubMed] [Google Scholar]
- 21.Thorsson V., Gibbs D.L., Brown S.D., Wolf D., Bortone D.S., Ou Yang T.-H., Porta-Pardo E., Gao G.F., Plaisier C.L., Eddy J.A., et al. The Immune Landscape of Cancer. Immunity. 2018;48:812–830.e14. doi: 10.1016/j.immuni.2018.03.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Orhan A., Vogelsang R.P., Andersen M.B., Madsen M.T., Hölmich E.R., Raskov H., Gögenur I. The prognostic value of tumour-infiltrating lymphocytes in pancreatic cancer: a systematic review and meta-analysis. Eur. J. Cancer. 2020;132:71–84. doi: 10.1016/j.ejca.2020.03.013. [DOI] [PubMed] [Google Scholar]
- 23.Gooden M.J.M., de Bock G.H., Leffers N., Daemen T., Nijman H.W. The prognostic influence of tumour-infiltrating lymphocytes in cancer: a systematic review with meta-analysis. Br. J. Cancer. 2011;105:93–103. doi: 10.1038/bjc.2011.189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Fournier P., Zeng J., Schirrmacher V. Two ways to induce innate immune responses in human PBMCs: paracrine stimulation of IFN-alpha responses by viral protein or dsRNA. Int. J. Oncol. 2003;23:673–680. [PubMed] [Google Scholar]
- 25.Melero I., Quetglas J.I., Reboredo M., Dubrot J., Rodriguez-Madoz J.R., Mancheño U., Casales E., Riezu-Boj J.I., Ruiz-Guillen M., Ochoa M.C., et al. Strict requirement for vector-induced type I interferon in efficacious antitumor responses to virally encoded IL12. Cancer Res. 2015;75:497–507. doi: 10.1158/0008-5472.CAN-13-3356. [DOI] [PubMed] [Google Scholar]
- 26.Dunn G.P., Sheehan K.C.F., Old L.J., Schreiber R.D. IFN unresponsiveness in LNCaP cells due to the lack of JAK1 gene expression. Cancer Res. 2005;65:3447–3453. doi: 10.1158/0008-5472.CAN-04-4316. [DOI] [PubMed] [Google Scholar]
- 27.Yeruva S., Ramadori G., Raddatz D. NF-kappaB-dependent synergistic regulation of CXCL10 gene expression by IL-1beta and IFN-gamma in human intestinal epithelial cell lines. Int. J. Colorectal Dis. 2008;23:305–317. doi: 10.1007/s00384-007-0396-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Brownell J., Bruckner J., Wagoner J., Thomas E., Loo Y.-M., Gale M., Liang T.J., Polyak S.J. Direct, interferon-independent activation of the CXCL10 promoter by NF-κB and interferon regulatory factor 3 during hepatitis C virus infection. J. Virol. 2014;88:1582–1590. doi: 10.1128/JVI.02007-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Oslund K.L., Zhou X., Lee B., Zhu L., Duong T., Shih R., Baumgarth N., Hung L.-Y., Wu R., Chen Y. Synergistic Up-Regulation of CXCL10 by Virus and IFN γ in Human Airway Epithelial Cells. PLoS One. 2014;9 doi: 10.1371/journal.pone.0100978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium Pan-cancer analysis of whole genomes. Nature. 2020;578:82–93. doi: 10.1038/s41586-020-1969-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Bhatt D.K., Chammas R., Daemen T. Resistance Mechanisms Influencing Oncolytic Virotherapy, a Systematic Analysis. Vaccines. 2021;9:1166. doi: 10.3390/vaccines9101166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Tokunaga R., Zhang W., Naseem M., Puccini A., Berger M.D., Soni S., McSkane M., Baba H., Lenz H.-J. CXCL9, CXCL10, CXCL11/CXCR3 axis for immune activation - A target for novel cancer therapy. Cancer Treat Rev. 2018;63:40–47. doi: 10.1016/j.ctrv.2017.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Karin N., Razon H. Chemokines beyond chemo-attraction: CXCL10 and its significant role in cancer and autoimmunity. Cytokine. 2018;109:24–28. doi: 10.1016/j.cyto.2018.02.012. [DOI] [PubMed] [Google Scholar]
- 34.Cueto F.J., Sancho D. The Flt3L/Flt3 Axis in Dendritic Cell Biology and Cancer Immunotherapy. Cancers. 2021;13:1525. doi: 10.3390/cancers13071525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Li X., Lu M., Yuan M., Ye J., Zhang W., Xu L., Wu X., Hui B., Yang Y., Wei B., et al. CXCL10-armed oncolytic adenovirus promotes tumor-infiltrating T-cell chemotaxis to enhance anti-PD-1 therapy. OncoImmunology. 2022;11 doi: 10.1080/2162402X.2022.2118210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Faisal S.M., Castro M.G., Lowenstein P.R. Adenovirus-mediated combined cytotoxic and immune-stimulatory gene therapy using dual-vector Ad-hCMV-TK and Ad-hCMV-Flt3L: translational explorations from rodents to glioma patients. Mol. Ther. 2023;31:2839–2860. doi: 10.1016/j.ymthe.2023.08.009. S1525001623004410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Castro F., Cardoso A.P., Gonçalves R.M., Serre K., Oliveira M.J. Interferon-Gamma at the Crossroads of Tumor Immune Surveillance or Evasion. Front. Immunol. 2018;9:847. doi: 10.3389/fimmu.2018.00847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zhou F. Molecular mechanisms of IFN-gamma to up-regulate MHC class I antigen processing and presentation. Int. Rev. Immunol. 2009;28:239–260. doi: 10.1080/08830180902978120. [DOI] [PubMed] [Google Scholar]
- 39.Bhat P., Leggatt G., Waterhouse N., Frazer I.H. Interferon-γ derived from cytotoxic lymphocytes directly enhances their motility and cytotoxicity. Cell Death Dis. 2017;8 doi: 10.1038/cddis.2017.67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ni L., Lu J. Interferon gamma in cancer immunotherapy. Cancer Med. 2018;7:4509–4516. doi: 10.1002/cam4.1700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Jorgovanovic D., Song M., Wang L., Zhang Y. Roles of IFN-γ in tumor progression and regression: a review. Biomark. Res. 2020;8:49. doi: 10.1186/s40364-020-00228-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Freedman J.D., Duffy M.R., Lei-Rossmann J., Muntzer A., Scott E.M., Hagel J., Campo L., Bryant R.J., Verrill C., Lambert A., et al. An Oncolytic Virus Expressing a T-cell Engager Simultaneously Targets Cancer and Immunosuppressive Stromal Cells. Cancer Res. 2018;78:6852–6865. doi: 10.1158/0008-5472.CAN-18-1750. [DOI] [PubMed] [Google Scholar]
- 43.Smerdou C., Liljeström P. Two-helper RNA system for production of recombinant Semliki forest virus particles. J. Virol. 1999;73:1092–1098. doi: 10.1128/JVI.73.2.1092-1098.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Singh A., Koutsoumpli G., van de Wall S., Daemen T. An alphavirus-based therapeutic cancer vaccine: from design to clinical trial. Cancer Immunol. Immunother. 2019;68:849–859. doi: 10.1007/s00262-018-2276-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Daemen T., Regts J., Holtrop M., Wilschut J. Immunization strategy against cervical cancer involving an alphavirus vector expressing high levels of a stable fusion protein of human papillomavirus 16 E6 and E7. Gene Ther. 2002;9:85–94. doi: 10.1038/sj.gt.3301627. [DOI] [PubMed] [Google Scholar]
- 46.Livak K.J., Schmittgen T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Data Availability Statement
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All data reported in this paper will be shared by the lead contact upon request.
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This paper does not report original code.
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Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.