Abstract
Background
Immunotherapy is at the forefront of modern oncologic care. Various novel therapies have targeted all three layers of tumor biology: tumor, niche, and immune system with a range of promising results. One emerging class in both primary and salvage therapy is oncolytic viruses. This therapy offers a multimodal approach to specifically and effectively target and destroy malignant cells, though a barrier oncoviral therapies have faced is a limited therapeutic response to currently delivery techniques.
Main body
The ability to deliver therapy tailored to specific cellular targets at the precise locus in which it would have its greatest impact is a profound development in anti-cancer treatment. Although immune checkpoint inhibitors have an improved tolerability profile relative to cytotoxic chemotherapy and whole beam radiation, severe immune-related adverse events have emerged as a potential limitation. These include pneumonitis, pancreatitis, and colitis, which are relatively infrequent but can limit therapeutic options for some patients. Intratumor injection of oncolytic viruses, in contrast, has a markedly lower rate of serious adverse effects and perhaps greater specificity to target tumor cells. Early stage clinical trials using oncolytic viruses show induction of effector anti-tumor immune responses and suggest that such therapies could also morph and redefine both the local target cells’ niche as well as impart distant effects on remote cells with a similar molecular profile.
Conclusion
It is imperative for the modern immuno-oncologist to understand the biological processes underlying the immune dysregulation in cancer as well as the effects, uses, and limitations of oncolytic viruses. It will be with this foundational understanding that the future of oncolytic viral therapies and their delivery can be refined to forge future horizons in the direct modulation of the tumor bed.
Keywords: Oncolytic viruses, Oncolytic viral vaccine, Immunomodulatory oncolytic virus, Tumor niche biology, Cancer Immunoediting
Background
Scope of Immuno-oncology
Medical oncology is in the midst of a massive paradigm shift: previously markedly toxic and poorly selective systemic chemotherapy and radiotherapy are now supplemented and in certain cases supplanted by more precise and sophisticated immunostimulatory therapies [1–3]. These strategies have shown improved overall survival in diverse tumor types and at different stages of progression, even in metastatic and previously incurable cancer [4]. The impact of this shift is proposed to be the most momentous to date in number of lives saved in person-years for advanced cancers. Notably, such treatments are able to induce up to total regression or remission [5, 6].
Intriguingly though the principle of immuno-oncology has long existed. Historically the first American immuno-oncotherapy dates to the late 1800s with the use of Coley’s toxin derived from bacterial exotoxins from Streptococcus pyogenes and Serratia marcescans that were injected into patients to treat solid tumors [7]. Since that time tremendous advances have been made. Current oncolytic viruses are now better tolerated, have comparable or superior effectiveness in achieving tumor response, and can be delivered through different approaches [8–10]. The ability to reintegrate anti-tumor immune surveillance, direct receptor stimulation or blockade to induce tumor apoptosis, or to specifically mark malignant cells as targets for destruction are three broad approaches of immunotherapy [2, 4, 6, 11–14]. Current anti-cancer immunotherapies consist of a wide range of strategies including the systemic use of monoclonal antibodies targeting co-regulatory pathways, small molecules, anti-tumor vaccines, cytokines, cell therapies and bacterial toxins (such as Coley’s toxin). Oncoviral therapies are emerging as a novel therapeutic class.
The superiority of oncoviral immunotherapy relative to other approaches relies in its specificity against tumor cells and not exclusively for targeting replicating cells. In addition, oncolytic viruses are less dependent on specific receptor expression patterns and the resultant mutational or transcriptional resistance that may occur. Oncolytic viruses can potentiate or restore already existing but ineffective anti-tumor immunity or induce a novel non-self antigen response.
Mechanisms of Immunosurveillance
The mechanisms by which these immune therapies work on a cellular level include direct receptor-ligand signaling disruption, suppression of dominant tolerogenic pathways present in the tumor, and direct immune cell stimulation. The refinement of these immunomodulating and immune editing approaches to achieve full target specificity, induce lasting memory responses while maximizing tolerability has become the aspirational goal [1, 15]. The premise of using immunotherapy to treat malignancies is predicated on the cooperative function of less specific innate immune cells such as macrophages and natural killer (NK) cells; and specific primed lymphocytes tasked to surveil damaged and dysplastic cells and either mark them for phagocytosis, induce apoptosis or direct cytotoxic killing [5, 6, 16].
This cancer immunoediting process includes three main stages: elimination, equilibrium, and escape. In the elimination phase there is early immune detection of malignant cells and clearance during which refinement or sculpting of the tumor by lymphocytes and glycoproteins can lead to the equilibrium phase, and then finally success in altered transcription for immune evasion or enter the escape phase [5, 17–19]. During the elimination phase there is continuous T-cell mediated eradication of malignant cells via effector responses including CD8+ T-cells, γδ T-cell subsets and NK cells, as well as macromolecules including IFNγ, perforin, and TNF-related apoptosis inducing ligands (Fig. 1) [11, 12, 16, 20–22].
In general, the traditional motif of antigen presentation to T and B cells eliciting both memory and effector cells are maintained in immunosurveillance of tumors. Multiple studies have demonstrated a survival benefit in tumors containing elevated numbers of lymphocytes and NK cells in a range of malignancies [23–26]. NK cells are able to recognize altered surface protein patterns and lyse tumor cells by co-stimulation with IL-2 regardless of prior sensitization [23, 27]. In the event that not all malignant cells are destroyed a functional homeostasis can result during which CD8+ T cells and IL-12p70 producing dendritic cells can limit the maximum number of tumor cells leading to a macroscopically dormant lesion [12, 28].
Mechanisms of tumor escape
The development of any malignancy implies that transformed, atypical cells were able to escape scrutinization or killing by immune cells and disrupt this static state [28, 29]. Various mechanisms that have been postulated include upregulation of key tolerogenic pathways, mutation-based disruption of cellular proteins and receptors involved in tumor antigen presentation, dysregulation of effector responses and niche dysfunction. Increased expression of immune evasion targets include CD47, TGFβ, VEGF, IL-10, FLIP, FAS, and BCL XL, among others (Table 1) [19, 23, 28–36]. Altered expression of indoleamine 2,3 dioxygenase (IDO) in tumor cells or alternatively polarized/pro-tumorigenic macrophages can affect the local availability of tryptophan and kynurenine metabolites limiting T-cell function and also possibly modifying downstream effects of CTLA-4 signaling [28, 30]. Altered transcriptional downregulation or mutations associated with immune evasion include loss or reduction of potent proinflammatory mediators such as IFNγ, major histocompatibility complex/antigen presenting machinery and TNF related apoptosis inducing ligands and receptors.
Table 1.
Molecule | Full Name | Level of Effect | Type of Disruption | Consequence | Ref |
---|---|---|---|---|---|
MHC | Major Histocompatibility Complex | Tumor | Downregulation | T cell anergy as costimulatory signal for epitope imprinting factor not presented to T cells | [31–33, 43] |
TRAIL | Tumor Necrosis Factor Related Apoptosis Inducing Ligand | Tumor | Downregulation | Induction of NK cell apoptosis by TRAIL-R2 binding | [31, 32, 38, 39, 43] |
FAS | CD95 | Tumor | Downregulation | Inability to induce TNF superfamily mediated apoptosis | [31, 32, 37, 48] |
HLA-E | Human Leukocyte Antigen E | Tumor | Upregulation | Binding to inhibitory receptor CD94/NKG2A on NK and CD8+ cells | [32, 44] |
TGFβ | Transforming Growth Factor Beta | Tumor | Upregulation | Inhibition of CD8+ T cell and NK cell proliferation and differentiation and disruption of T cell stimulation by antigen presenting cells | [32, 34–36] |
VEGF | Vascular Endothelial Growth Factor | Tumor | Upregulation | Inhibition of NK κ B mediated dendritic cell differentiation | [32, 43, 49] |
IL 10 | Interleukin 10 | Tumor | Upregulation | Inhibition of dendritic cell differentiation and tumor cell TAP 1 and 2 production as well as CD4+ inhibition | [32, 42, 43] |
FLIP | FLICE Inhibitory Pathway | Tumor | Upregulation | Inhibition of death receptor mediated apoptosis by caspase 8 and FADD binding | [32, 37] |
CD47 | Integrin Associated Protein | Tumor | Upregulation | Signal regulatory protein alpha stimulation within macrophages for ‘don’t eat me’ signal | [31] |
Bcl XL | B Cell Lymphoma Extra Large | Tumor | Upregulation | Inhibition of TRAIL pathway and CD 95 mediated apoptosis | [32, 38] |
IFNγ | Interferon Gamma | Tumor | Downregulation | Loss of STAT1 activation and resultant MHC production | [21, 31, 39, 41, 43] |
IFNγ | Interferon Gamma | Niche | Upregulation | Induction of PDL1 production to induce T cell deactivation | [21, 31, 41, 43] |
iMCs | Immature Myeloid Cells | Niche | Upregulation | Induction of T cell apoptosis, inhibition of T cell proliferation, induction of regulatory phenotype | [32] |
Type II Mφ | Type II Macrophages | Niche | Upregulation | Disrupt Th1 immunity, promote angiogenesis and repair mechanisms | [21, 32, 45] |
IDO | Indoleamine 2,3-dioxygenase | Immune | Upregulation | Suppression of activated cytotoxic T cells and induction of regulatory T cells | [30, 32, 50] |
CD4+CD25+ Treg | Regulatory T Cells | Immune | Upregulation | Prevention of activation for CD4+, CD8+, and NK T cells | [35, 40] |
CD1d restricted T cell | Type II Natural Killer T Cells | Immune | Upregulation | Suppression of cytotoxic T cell differentiation via TGFβ production | [32, 40] |
PDL1 | Programmed Death Ligand 1 or B7-H1 | Immune | Upregulation | Induction of T cell apoptosis by binding of PD1 | [32, 41] |
Regarding niche effects, immune cell dysfunction such as T-cell anergy or inhibition can result as a consequence of the accumulation of CD4 + CD25+ Tregs and CD1d restricted T-lymphocytes [23, 30, 37–42]. Intriguingly, another proposed escape mechanism involves immature myeloid cells that, when clonally expanded, can suppress effector T-cell responses through multiple mechanisms including induction of apoptosis, inhibition of proliferation, or induction of a regulatory phenotype. Similarly anti-inflammatory macrophages (also referred to as “type 2” macrophages) at the tumor niche can act similar to immature myeloid cells to reduce antigen presentation and actively suppress adaptive anti-tumor responses [30, 43]. Robust clinical evidence about the critical role of immune surveillance in carcinogenesis and tumor progression stands from the observation that patients with primary or induced immunosuppression after organ transplants have a statistically significant increased risk of developing nearly every form of solid tumor [44, 45].
Definition of an oncolytic virus
Conceptually similar to the seminal idea of Dr. Coley’s toxin, oncolytic viruses use attenuated viruses to infect tumor cells and generate de novo or boost pre-existing native immune response [7]. Most available oncolytic viruses are genetically modified to enhance tumor tropism and reduce virulence for non-neoplastic host cells [15]. Therefore, they can stimulate a proinflammatory environment by enhancing antigen release/recognition and subsequent immune activation to counteract the immune evasiveness of malignant cells. Indeed, oncolytic viruses also aim to harness or take advantage from the tumor’s tolerogenic mechanisms, which can facilitate viral infection and killing of cells that are not protected by the immune system [15]. This allows for a theoretical domino effect including chained viral transference between neoplastic cells and further immune activation.
There are presently numerous viral species in different stages of investigation for immuno-oncologic use. Possibly the best studied so far are Herpes viruses of which some strains have been found to have native tumor cell tropism while others have been engineered to improve selectivity [15, 46–48]. Initial explorations using herpes has shown promising results in murine glioblastoma [15]. Additional evidence has been seen in prostate cancer using a recombinant vaccinia and fowlpox virus able to upregulate prostate specific antigen and expression of three co-stimulatory factors involved in antigen presentation and T-cell activation [12, 13, 49, 50]. Moreover, various strains of recombinant vaccinia virus have shown promise as antineoplastic agents. One strain has demonstrated tumor anti-angiogenesis, another has shown efficacy against hepatocellular carcinoma in animal models and the third improves tumor cell recognition [51–54]. Other viruses that have been or are being explored as possible vehicles for immunomodulation in cancer include Newcastle Disease Virus, coxsackie, reovirus, and even measles (Table 2) [15, 48, 55–57].
Table 2.
Herpes Simplex Virus | Mumps | Retrovirus |
---|---|---|
New Castle Disease Virus | Moloney Leukemia Virus | Parvovirus |
Reovirus | Adenovirus | Seneca Valley Virus |
Measles | Vesicular Stomatitis Virus | Vaccinia |
Fowlpox | Coxsackie Virus |
Scope of oncolytic viruses
At present the only FDA approved oncolytic viral therapy is talimogene laherparepvec (T-Vec or Imlygic) for use in metastatic melanoma, though there are numerous other viruses being developed pre-clinically and clinically. As of 2016 there are reportedly at least eight oncolytic viruses in phase I, nine in phase II, and two in phase III clinical trials [58, 59]. Notably, the therapeutic potential of oncolytic viruses is way beyond melanomas and current studies are ongoing at least in pancreatic and hepatocellular carcinomas. In fact, a search of all registered clinical trials in 2017 demonstrates 78 interventional trials referencing the usage of an “oncolytic virus” and spanning nearly every solid organ malignancy (Table 3) [60]. This ability for near universal therapeutic impact in cancer makes oncolytic viruses a unique therapeutic tool. While more traditional therapies such as chemotherapy and radiotherapy lack tumor specificity targeting all replicating cells, and other immunotherapies have limited scope by relying on the presence of a specific ligand/receptor, oncolytic viruses are postulated to be both specific to neoplastic cells and have an expansive immunostimulatory latitude. The broad impact of oncolytic viruses is the consequence of using of the host adaptive immune response that is able to sharply distinguish target and non-target cells for precise specificity; while also being able to harness signals ubiquitous to perhaps all malignancies.
Table 3.
Virus | Strain | Manufacturer | Phase | Targeted Malignancy | Primary or Adjuvant Therapy |
---|---|---|---|---|---|
Herpes Simplex Virus I | Talimogene Laherparepvec (T-Vec) | Amgen | I/II | Breast | Adjuvant |
II | Melanoma | Primary | |||
I | Pancreatic | Primary | |||
TBI-1401(HF10) | Takara | I | Superficial Solid Tumors | Primary | |
II | Melanoma | Adjuvant | |||
G207 | MediGene | Ib/II | Glioma | Primary | |
HSV1716 | Virtu Biologics | I/II | Mesothelioma | Primary | |
I | Bone, Sarcomas, Neuroblastomas | Primary | |||
Adenovirus/Herpes Simplex Virus | ADV/HSV-tk | Merck | II | Breast and NSCLC | Adjuvant |
Adenovirus | LOAd703 | Lokon | I/II | Pancreatic | Adjuvant |
CG0070 | Cold Genesys | II | Bladder | Primary | |
ColoAd1(Enadenotucirev) | PsiOxus | I | Colorectal, NSCLC, Bladder, and Renal Cell | Primary | |
I/II | Colorectal, Bladder, and Epithelial | Primary | |||
I | Ovarian | Primary | |||
ONCOS-102 | Targovax Oy | I | Advanced Solid Tumors | Adjuvant | |
I | Melanoma | Adjuvant | |||
DNX-2401 | DNAtrix | II | Brain | Adjuvant | |
VCN-01 | VCN | I | Advanced Solid Tumors | Adjuvant | |
I | Pancreatic | Adjuvant | |||
Ad-MAGEA3 and MG1-MAGEA3 | Turnstone | I/II | NSCLC | Adjuvant | |
I/II | Advanced Solid Tumors | Primary | |||
NSC-CRAd-Survivin-pk7 | Northwestern | I | Glioma | Adjuvant | |
Ad5-yCD/mutTKSR39rep-hIL12 | Henry Ford | I | Prostate | Adjuvant | |
Ad5-yCD/mutTKSR39rep-ADP | Henry Ford | I | NSCLC | Primary | |
Measles | MV-NIS | Mayo | I | Breast and Head and Neck | Primary |
I/II | Ovarian | Primary | |||
I | Nerve Sheath | Primary | |||
I | Mesothelioma | Primary | |||
I/II | Multiple Myeloma | Adjuvant | |||
MV-NIS | University of Arkansas | II | Multiple Myeloma | Adjuvant | |
Vaccinia | GL-ONC1 | Genelux | I | Advanced Solid Tumors | Primary |
I | Head and Neck | Primary | |||
Ib | Advanced Solid Tumors | Adjuvant | |||
I | Ovarian | Primary | |||
Pexastimogene Devacirepvec (Pexa-Vec) | Jennerex | III | Hepatocellular | Adjuvant | |
I/IIa | Colorectal | Adjuvant | |||
I | Advanced Solid Tumors | Adjuvant | |||
I | Blue Cell | Primary | |||
I | Melanoma, Lung, Renal Cell, Head and Neck | Primary | |||
Reovirus | REOLYSIN | Oncolytics | I | Colorectal | Adjuvant |
Ib | Bladder | Adjuvant | |||
Ib | Pancreatic | Adjuvant | |||
I | Multiple Myeloma | Adjuvant | |||
Ib | Plasma Cell Cytoma | Adjuvant | |||
II | Ovarian and Peritoneal | Adjuvant | |||
Coxsackievirus | CVA21(CAVATAK) | Viralytics | II | Melanoma | Primary |
I | NSCLC | Adjuvant | |||
Parvovirus | H-1PV(ParvOryx) | Oryx GmbH | I/IIa | Glioblastoma Multiforme | Primary |
Polio/Rhinovirus | PVSRIPO | Duke | I | Glioma | Primary |
Vesicular Stomatitis Virus | VSV-hIFNbeta-NIS | Mayo | I | Endometrial | Primary |
T-Vec is a genetically manipulated Herpes Simplex Virus 1 (HSV-1) with an affixed granulocyte macrophage colony-stimulating factor (GM-CSF) [15, 61–63]. The virus is locally delivered but can produce recruitment of T-cells in distant non-injected metastases [15, 47, 64–66]. T-Vec has exhibited remarkable success with up to a 15% complete regression of injected lesions in patients with metastatic melanoma, the primary population in which the virus has presently been attempted [15, 47, 61–66].
Immunomodulatory mechanisms of oncoviral therapy
Similar to other immunotherapies oncolytic viruses have a multimodal mechanism of action with both direct and indirect toxic effects on tumor cells such as autolysis, immune cell honing, destruction of vascular supply and potentiation of other adjunctive anti-cancer therapies (Fig. 2) [15, 48].
Direct cell lysis from traditional anti-viral machinery is one method of toxic injury and is postulated to be dose dependent with excellent tolerability even at high doses [15, 57]. For instance, infected cells can instigate an interferon or Toll-like receptor response by transcribing antigens that are then transited to the cell surface or detected by intracellular components of Toll-like receptors. These antigens, termed pathogen associated molecular patterns (PAMPs), can be the viral capsid, nucleic acids, or proteins. Immune recognition of virally infected cells can initiate a cascade using TNF and IFN related factors as well as retinoic acid inducible gene 1 to stimulate the JAK/STAT pathway that gives positive feedback to IFN to activate protein kinase R. The latter senses intracellular viral material and stops protein transcription ultimately promoting apoptosis and viral clearance [67]. Additionally, infected cells display transcription of cytokines and other proinflammatory signaling peptides [15, 68]. For instance HMGB1, calreticulin, and viral/cellular DNA can be released in the tumor microenvironment and elicit immune-cell recruitment [47, 69, 70]. Some of these anti-viral signaling mechanisms involve selective upregulation of peptide and siRNAs. These responses are not observed in non-tumor host tissue cells [71]. Another mechanism, as is seen in coxackievirus targeting non-small cell lung cancer, comprise specific viral antigen proliferation disrupting essential cell survival pathways (in this case B3 Ag disrupting ERK/MEK) [55]. Cytometric analyses have also shown upregulation of immunotherapeutic targets such as CTLA-4 in tumor infiltrating T-cells, suggesting a possible role of oncolytic viruses in neo-adjuvant/adjuvant treatment along with systemic immunotherapies [64].
Vaccine mechanism of oncoviral therapy
The concept of tumor vaccination has existed for some time; however, the mechanistic considerations of how to effectively prime and activate the immune system against tumor cells have not translated into major clinical success. The underlying physiology of this process consists of immune conditioning and generation of memory T-cell responses by exposing antigens that are expressed robustly and specifically in the target tissue. The use of viruses to deliver antigens is beneficial as the encoded genetic material is well conserved during infection and subsequent translation. In particular, a multifaceted response to tumor antigens released following necrosis and apoptosis results from exposure to PAMPs, danger associated molecular patterns (DAMPs: such as heat shock proteins, uric acid, calreticulin, HMGB-1), and cytokines (such as IFN 1, interleukin 12, and TNF α). Consequent to this, vigorous antigen presenting cell maturation occurs which then cascades to CD4+ and CD8+ T-cell activation. CD4+ and CD8+ T-cell responses can mediate global anti-tumor effects at distant loci and direct tumor cell killing [67]. Immune conditioning has been explored as in the case of Newcastle Disease Virus transfection in IFN-depleted lung tumor cells which can modulate genetic transcription of IFN β [56]. Additional studies in animal models and early human trials have shown that oncolytic viruses can produce antibody mediated, complement dependent, and tumor-cell specific cytotoxicity. The consequences of this include triggering of autophagy or apoptosis, recruitment of lymphocytes and phagocytic cells, and direct toxic injury from inflammatory cytokines [15, 68]. This has previously been described as creating an “immune storm” within a tumor to augment antigen recognition that can lead to lesion debulking and facilitate adjuvant therapies (Fig. 3) [14, 15, 61, 72]. Moreover, this can theoretically be further harnessed and tailored to target tumors by genetic manipulation [15, 68]. Consequently the use of an oncolytic virus can be used as an effective tumor vaccine.
There are host factors predictive of oncoviral therapeutic success. The strongest favorable predictor of immunotherapeutic response in human and animal models is the pre-existence of tumor infiltrating lymphocytes as well as high tumor expression of immunomodulating targets prior to inoculation. Among these, upregulation of type I IFN has been recognized as the top marker associated with sensitivity to immunostimulatory agents [64, 73, 74]. In addition, emerging research suggests that the dissimilar immune cell composition across different tissues may influence tumorigenesis and therapeutic response [75, 76]. Variation in constituent microenvironmental niche features including intercellular signaling, extracellular components, and nutrients may be directly involved. To date, nearly all organs have been described to contain unique “tissue-resident memory T cells (TRM)” which are either of a CD4 or CD8 lineage. These immune cells are, as their name implies, restricted in location to a single, frequently non-lymphoid, organ and are believed to arise from the primary response to antigens [75]. These cells serve as a type of local sentry that is biochemically familiar to its surrounding tissues and can rapidly stimulate an immune reaction when a non-resident antigen is detected. Of course, as with other immune cells, the ability of TRM to recognize a tumor is dampened during immune evasion. However, the precursor TRM cells have the potential to be primed against a tumor when provided the appropriate stimulus such as from a tumor derived dendritic cell [75]. This concept has been demonstrated in the skin and genitourinary tract where local administration of a vaccine has led to the induction of TRM cells against tumors to enhance therapeutic response [75].
Additionally, different tissues also have variable antigenic exposure patterns. The most prominent example of this is the liver which, as a central organ of metabolism, has a large filtration component as well as a dual blood supply. Antigenic exposure in the liver includes > 100 times higher concentrations of microbe associated molecular patterns in comparison to peripheral blood and high concentrations of DAMPs. These are then widely exposed to the body’s largest population of tissue resident macrophages (Kupffer cells) as well as NK cells, and transiting and resident T lymphocytes [76]. Consequently, the sensitivity of the liver to immune stimulation would likely contrast in gradient to the lung, colon, adrenal glands, muscle, and other organs with distinct antigen exposure. It has been posited that this local antigenic landscape is partially a limiting factor in hereto-limited success of systemically administered vaccination with tumor antigens and that the major histocompatibility and T-cell receptor complex may require co-activation with local chemokines or resident immune cells. At least in theory, oncolytic viruses can affect the antigenic profile of the injected tissue by inducing not only an anti-tumor immune response but also an anti-viral reaction against the antigenic viral components [76]. The significance of each of these considerations from a clinical perspective remains to be investigated as are any potential solutions.
Oncolytic viruses as adjuvant therapy
Another avenue by which oncolytic viruses can impact oncologic care is by functioning as a therapeutic adjuvant. Concomitant administration with other therapies may have two primary mechanisms: augmenting other immunotherapeutics and overcoming primary resistance patterns.
The enhancement of other immunotherapies is potentially mediated by the creation of a pro-inflammatory milieu able to upregulate the targets for additional interventions such as co-regulatory checkpoint blockade. Consistent with this notion, CTLA-4 and PD-L1 are known to be increased at and mediate peripheral immune tolerance upon inflammation or tissue damage. Adjuvant administration of oncolytic viruses upregulate the expression of pro-inflammatory cytokines such as IFNγ which would in turn increase JAK 1/2 signaling and antigen expression to augment tumor response to checkpoint blockade [77–79]. This has been shown to be clinically beneficial in initial trials where an adjunctive oncolytic virus with CTLA-4 or PD-1 inhibition was superior to either monotherapy [80, 81]. Furthermore, early phase clinical trial suggest oncolytic viruses in conjunction with PD-1 inhibition can mold the tumor cell niche to be more susceptible to other non-immune anti-cancer treatments [82]. Patients showing tumor response when treated with these agents display typically higher tumor-infiltrating lymphocyte counts (independent of baseline level) as well as upregulation of PD-L1 and IFNγ [83].
Additionally the issue of primary and acquired immunotherapeutic resistance has become a prevalent concern that may be addressed by oncolytic viruses. Using the example of PD-1 axis inhibition, some estimates note that up to one out of four (25%) patients with melanoma who initially responded to PD-1 axis blockade develop resistance that is clinically evident as disease progression within two years of treatment [77, 84]. Hypothesized mechanisms of resistance include genetic loss of β2 microglobulin, reduced tumor infiltrating lymphocytes, antigen loss, signaling disruption, ineffective CD8+ T-cell function, upregulation of alternative immune checkpoints, or loss of downstream signaling via JAK1/2 gene modifications [85–87]. However, the IFN I pathway does appear to remain intact for many of these patients [77–79]. This has been postulated as a possible oncoviral bypass to restitute sensitivity in patients who develop resistance [64, 77].
Systemic effects of oncoviral therapy
An intriguing finding in the study of oncolytic viruses has been the effects on distant metastases in patients with locally inoculated lesions, a phenomenon commonly known as “abscopal” effect. The range of oncolytic viral transfection is unquestionably limited to a loco-regional distribution as has been demonstrated in multiple animal and human models where metastatic lesions have been sampled and proven to be absent of viral DNA or RNA. However, the impact of oncolytic viruses has been found to extend to loci devoid of virus causing regression or delayed tumor growth [15, 64–66, 88, 89]. It is unclear how this effect occurs and whether it is mediated directly by an unidentified and yet unmeasured viral product, by crossed-antigenic reaction or as a consequence of global immune conditioning/stimulation. Although recruitment of tumor infiltrating lymphocytes to distant uninjected metastatic sites after oncoviral injection has been consistently documented [15, 64–66, 88, 89], the characteristics of the immune response differ from that of the primary site. One animal study illustrated the infiltration of CD8+ and CD 4+ T-cells at the remote lesions in an IFN I dependent manner though regulatory T-cells were absent despite being noted at the site of inoculation [64].
Current approaches to delivery of oncolytic viruses
One of the greatest challenges for effective oncoviral therapy has been sufficient drug delivery. There is exceptionally poor bioavailability of systemically administered oncolytic viruses. Moreover, even in the case of intravenous delivery the host immune system rapidly sequesters and degrades the attenuated virus through the reticuloendothelial system lead by red pulp macrophages in the spleen and Kupffer cells of the liver [15, 68, 90]. Viral particles are opsonized by antibodies, complement, and other factors to enhance endothelial cell and macrophage binding and phagocytosis [15, 91]. Of note, there are no reports of poor dose tolerance to oncoviral therapy or reverted virulence by the inactivated particulates. Balancing the degree of local immunosuppression provides a complex challenge in oncoviral therapy. On one end immunosuppression can increase intratumoral distribution of the therapy. Conversely, augmentation of the host immune system will enhance targeting of transfected tumor cells but the intratumoral viral spread will be pruned [15]. Consequently and to date, the only route by which oncoviral therapies have been delivered in sufficient quantity to be clinically efficacious is via loco-regional or direct inoculation [15, 47, 68, 90].
The role of image guidance in oncoviral therapy
Future success and broad use of oncoviral therapy is naturally bound to image guided delivery. As has been elsewhere described the concept of image guidance is expansive and includes planning, targeting, controlling, monitoring, and assessing treatment response for lesions and each of these tasks is integrally important to the success of the therapy [92]. Image review for planning is an essential step not only to locate the neoplastic lesions but also to characterize and prioritize targets for therapeutic delivery. For instance the identification of a lesion that is large but necrotic would not be preferred over one that is smaller but demonstrates features of active metabolism/proliferation. The rationale for this is that functional cells are required for viral transfection and immune cell recruitment and these tissues can also be sampled to assess tumor response. Proposed needle trajectory can also be mapped via imaging to minimize crossing unwanted or high-risk anatomical structures. Furthermore, image guidance enables direct access to remote body locations that would not necessarily be amenable to effective hematogenous distribution of systemic therapy such as malignancies with low mitotic indices or that are poorly vascularized.
However, even in well vascularized tumors blood vessels have been described as imperfectly synthesized with pitfalls including unusual or absent branching patterns, irregular shape and contour, and hyperpermeability each of which can further limit systemic drug delivery [93–96]. Also as outlined above oncoviral therapy via alternative routes is typically sequestered, denatured, and cleared by the host immune response or lymphatics particularly in the liver and spleen [15, 68]. Nonetheless, image-guided delivery is able to circumvent this barrier and maximize the local virus availability and potential efficacy by direct visualization the locus in which it was administered. An additional benefit of image guided needle system based delivery of oncolytic viruses includes possibilities for monitoring of the target lesion with morphologic and molecular analyses. That is, image guidance is used to place a large bore needle into the target site through which biopsy can be performed at the time of therapy. These samples can then be analyzed for constituent composition of tumor cells and profile, immune cells (e.g. resident memory T cells), and the local microenvironment (e.g. gene expression microarrays).
Imaging approaches for therapeutic delivery may include any form of cross-sectional imaging though, for similar considerations as with other locoregional therapies, ultrasound and computerized tomography are likely to be the most favored. Ultrasound can allow for real-time, dynamic, non-ionizing radiation based imaging of the target lesion, the introducer and biopsy needles and architectural distortion from obtaining a sample and instilling the therapy. However, ultrasound is limited by patient factors such has habitus and by location of a target lesion as well as imaging characteristics as lesions can be isoechoic to and hence “invisible” in their surroundings by ultrasound. CT in comparison is favorable for deeper lesions as well as lesions isoechoic to their surroundings and those that may benefit from contrast enhancement. MRI may also be considered as a potential imaging mechanism though the procedure time, cost, and need to exclude metallic tools would be prohibitive.
Specific technical approaches may vary based on patient factors and tumor anatomy though the general technique would likely entail image guided placement of a large bore guide needle into a non-necrotic portion of the tumor. Once satisfactorily positioned, a biopsy and hand-injection may be performed and, if necessary, the guide needle can be repositioned to treat additional regions of the tumor.
Advantages of direct inoculation
Furthermore, the inoculation of the virus directly into lesion would enable favorable pharmacokinetics. These benefits include maximization of the drug concentration at the target lesion with a lower dose where they would be maximally retained and would limit elimination. Selection of which index and non-index lesions to inoculate is another benefit as is more precise dose adjustments into individual lesions as possible with direct inoculation as the delivery would be to the targeted site alone. Similarly, optimization of timing of delivery as neoadjuvant, adjuvant, or primary therapy could also be achieved. The clinical benefit of intratumoral injection delivery for oncoviruses has already been demonstrated for local and potential systemic anti-tumor response in the T-VEC OPTIM Phase III clinical trials [67].
Direct injection enables the prospect of delivering therapy via novel or unique vehicles such as polymeric micelles, nanoparticles or as implants. Image guided therapy would be by far the most resource-efficient modality as there would be negligible waste or loss of therapy given the image directed planning and localization of the target lesion. With respect to monitoring there is a role for both direct and indirect approaches. Direct imaging of intratumoral distribution of viral products has been achieved in herpetic viruses via HSV thymidine kinase phosphorylation and intracellular sequestration of positron emitting substrates [15, 97]. Gene splicing with thyroidal sodium iodide symporter has also been performed in animal models with iodinated and technetium based media to monitor distribution of oncoviral transcription within hosts, a concept validated with an adenovirus via pertechnatate based SPECT imaging [15, 68, 98].
Potential limitations
As with all procedures, there is of course an associated risk with image guided oncoviral therapy. However, the overall risks are quite low and comparable to related standard of care procedures. Risks may be categorized as those related to technique and therapy. From a technical standpoint bleeding and inadvertent organ injury are the major potential adverse events and are deemed extremely unlikely. These risks are identical to the risk accepted in biopsying a mass that is at times standard of care for the targeted lesion. Unlike other locoregional therapy considerations such as thermal injury and electric neural conduction, direct oncoviral therapy does not require additional precautions. Moreover, regarding the risk of the therapy itself, as previously mentioned there are no reported cases of reverted virulence of the virus. Local inflammatory reaction is of course possible and to an extent desired with theoretical risk of a deregulated inflammatory response, though again, no current reports of this exist.
One additional risk specific to oncolytic viral therapy would be material leakage through the needle tract, though the likelihood of this is low as the inner diameter of an 18-gauge needle is less than one millimeter. Still this is a valid consideration and even though oncolytic viruses do not have systemic effects a local reaction could in principle occur. Approaches to minimize this if the risk achieves clinical significance could include track patching with autologous blood as is used for some lung and liver biopsies or using a needle system that performs tract ablation.
Additionally, even with direct inoculation there is a potential for neutralizing antibodies and tumor niches can be immune suppressive both of which can dampen therapeutic responses [76]. Furthermore, efficacy of oncoviruses may be limited by the tumor niche if the tumor cells are suspended in growth phase in response to hypoxia or acidosis or from nearby necrosis, calcification, or high interstitial pressure. Also an oncovirus that too rapidly induces apoptosis can also be disadvantageous as an optimal quantity of daughter viruses may not have been replicated [67, 76]. Acquired resistance or tumor adaptation to oncolytic viruses or associated tumor immune pressure is also a possibility.
Distal effects of locally inoculated oncolytic virus
Image guided inoculation offers the prospect of superior tolerability as the viral product would be localized. As described previously, studies have demonstrated the paucity of viral products available at remote loci. However, there are systemic immune responses documented away from the injection site [15, 64–66, 88, 89]. This does increase the prospect of adverse effects, though this too is tempered compared to systemic therapy, as the theoretical reaction would be immune mediated and cross priming of immune activation would be specific to the area of insult (i.e. the inoculated tumor). Finally, the assessment of response to therapy can of course be performed via diagnostic radiographic means but also by biopsy assessments of tumors to analyze cellular level changes and response to therapy. This will provide extremely valuable feedback to interventionalists, as it will guide future decision-making regarding therapeutic planning for future patients.
Future prospects
In the time of new and promising immuno-oncologic therapies, image-guided oncoviral therapy offers another avenue of hope for patients with previously unresectable, advanced malignancies not amenable to other classical oncologic therapies. The idea of image directed, locally delivered, molecular therapy supplemented by immune conditioning by which the delivered particles induce an indirect native tissue response is a patient-centered and personalized approach. Here in the context of oncolytic viruses we discussed recruitment of immune cells and also modification of adjacent niche cells. This concept though may be extended to other host cell processes. That is to say that modulation of a tissue’s microenvironment via image-targeted biotherapeutics may allow in the future not only oncotherapy but also controlled disruption of localized autoimmune phenomena, dampening of transplant induced immune reactions and even facilitate conditions for reparative or regenerative tissue construction.
Conclusion
The evolution of oncologic therapies has led to increasingly targeted and nuanced regimens that seek to impose maximal impact on malignant cells, while simultaneously sparing collateral non-tumor tissues and minimizing adverse effects. This is most prominent in the rapid development within the realm of immunotherapy where the preponderance of efforts to date has utilized systemic agents. However, as presented above, oncoviral therapies represent another option for immune stimulation acting locally to drive potent anti-tumor immune effects. This form of immunomodulation may herald another phase in anti-cancer immunotherapy with less toxicity, increased specificity, and hopefully improved survival.
Acknowledgements
Not applicable.
Funding
Not applicable.
Availability of data and materials
Not applicable.
Abbreviations
- BCL XL
(B cell lymphoma extra large)
- CD1d
(Cluster of differentiation 1d)
- CD25
(Cluster of differentiation 25)
- CD4
(Cluster of differentiation 4)
- CD47
(Cluster of differentiation 47)
- CD8
(Cluster of differentiation 8)
- CTLA 4
(Cytotoxic T lymphocyte associated protein 4)
- DNA
(Deoxyribose nucleic acid)
- ERK/MEK
(Extracellular signal regulated kinase/mitogen activated protein kinase extracellular signal related kinase kinase)
- FAS
(CD 95)
- FLIP
(FLICE inhibitory pathway)
- GM-CSF
(Granulocyte macrophage colony stimulating factor)
- HMGB-1
(High motility group box protein 1)
- HSV-1
(Herpes simplex virus 1)
- IDO
(Indoleamine 2,3 dioxygenase)
- IFN γ
(Interferon gamma)
- IL 10
(Interleukin 10)
- IL 2
(Interleukin 2)
- JAK 1/2
(Janus associated kinase 1/2)
- PD-1
(Programmed death 1)
- PD-L1
(Programmed death ligand 1)
- siRNA
(Short ribose nucleic acid)
- SPECT
(Single photon emission computed tomography)
- TNF
(Tumor necrosis factor)
- TRM
(Resident memory T cells)
- T-Vec
(Talimogene laherparepvec)
- VEGF
(Vascular endothelial growth factor)
Authors’ contributions
JR collected relevant resources and drafted and revised the manuscript. JML critically reviewed/edited and contributed to the draft and revisions of the manuscript. SNG critically reviewed/edited and contributed to the draft and revisions of the manuscript. KAS critically reviewed/edited and contributed to the draft and revisions of the manuscript. HSK conceived and designed the study, guided research, provided resources and critically reviewed/edited the manuscript. All authors read and approved of the final manuscript.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Abi-Jaoudeh N, et al. Personalized oncology in interventional radiology. J Vasc Interv Radiol. 2013;24(8):1083–1092. doi: 10.1016/j.jvir.2013.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Suzuki S, et al. Current status of immunotherapy. Jpn J Clin Oncol. 2016;46(3):191–203. doi: 10.1093/jjco/hyv201. [DOI] [PubMed] [Google Scholar]
- 3.Papaioannou NE, et al. Harnessing the immune system to improve cancer therapy. Annals Transl Med. 2016;4(14):261. doi: 10.21037/atm.2016.04.01. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Khalil DN, et al. The future of cancer treatment: immunomodulation, CARs and combination immunotherapy. Nat Rev Clin Oncol. 2016;13(5):273–290. doi: 10.1038/nrclinonc.2016.25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Restifo NP, Smyth MJ, Snyder A. Acquired resistance to immunotherapy and future challenges. Nat Rev Cancer. 2016;16(2):121–126. doi: 10.1038/nrc.2016.2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Restifo NP, Dudley ME, Rosenberg SA. Adoptive immunotherapy for cancer: harnessing the T cell response. Nat Rev Immunol. 2012;12(4):269–281. doi: 10.1038/nri3191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Orange M, Reuter U, Hobohm U. Coley’s lessons remembered. Integr Cancer Ther. 2016;15(4):502–511. doi: 10.1177/1534735416649916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lomax AJ, McNeil C. Acute management of autoimmune toxicity in cancer patients on immunotherapy: common toxicities and the approach for the emergency physician. Emerg Med Australas. 2017;29(2):245–251. doi: 10.1111/1742-6723.12718. [DOI] [PubMed] [Google Scholar]
- 9.Seton-Rogers S. Immunotherapy: powerful combinations. Nat Rev Cancer. 2016;16(12):757. doi: 10.1038/nrc.2016.136. [DOI] [PubMed] [Google Scholar]
- 10.Lichty BD, et al. Going viral with cancer immunotherapy. Nat Rev Cancer. 2014;14(8):559–567. doi: 10.1038/nrc3770. [DOI] [PubMed] [Google Scholar]
- 11.Matsueda S, Graham DY. Immunotherapy in gastric cancer. World J Gastroenterol. 2014;20(7):1657–1666. doi: 10.3748/wjg.v20.i7.1657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Drakes ML, Stiff PJ. Harnessing immunosurveillance: current developments and future directions in cancer immunotherapy. Immunotargets Ther. 2014;3:151. doi: 10.2147/ITT.S37790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Antonarakis ES. Combining active immunotherapy with immune checkpoint blockade for the treatment of advanced prostate cancer. Asian J Androl. 2012;14(4):520. doi: 10.1038/aja.2012.45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Melcher A, et al. Thunder and lightning: immunotherapy and oncolytic viruses collide. Mol Ther. 2011;19(6):1008–1016. doi: 10.1038/mt.2011.65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Russell SJ, Peng K-W, Bell JC. Oncolytic virotherapy. Nat Biotechnol. 2012;30(7):658–670. doi: 10.1038/nbt.2287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Dunn GP, Old LJ, Schreiber RD. The immunobiology of cancer immunosurveillance and immunoediting. Immunity. 2004;21(2):137–148. doi: 10.1016/j.immuni.2004.07.017. [DOI] [PubMed] [Google Scholar]
- 17.Schreiber RD, Old LJ, Smyth MJ. Cancer immunoediting: integrating immunity’s roles in cancer suppression and promotion. Science. 2011;331(6024):1565–1570. doi: 10.1126/science.1203486. [DOI] [PubMed] [Google Scholar]
- 18.Shankaran V, et al. IFNγ and lymphocytes prevent primary tumour development and shape tumour immunogenicity. Nature. 2001;410(6832):1107–1111. doi: 10.1038/35074122. [DOI] [PubMed] [Google Scholar]
- 19.O’Sullivan T, et al. Cancer immunoediting by the innate immune system in the absence of adaptive immunity. J Exp Med. 2012;209(10):1869–1882. doi: 10.1084/jem.20112738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Burnet F. An immunological approach to ageing. Lancet. 1970;296(7668):358–360. doi: 10.1016/S0140-6736(70)92886-2. [DOI] [PubMed] [Google Scholar]
- 21.Slaney CY, Rautela J, Parker BS. The emerging role of immunosurveillance in dictating metastatic spread in breast cancer. Cancer Res. 2013;73(19):5852–5857. doi: 10.1158/0008-5472.CAN-13-1642. [DOI] [PubMed] [Google Scholar]
- 22.Hamai A, et al. Immune surveillance of human cancer: if the cytotoxic T-lymphocytes play the music, does the tumoral system call the tune? Tissue Antigens. 2010;75(1):1–8. doi: 10.1111/j.1399-0039.2009.01401.x. [DOI] [PubMed] [Google Scholar]
- 23.Ribatti D. The concept of immune surveillance against tumors: the first theories. Oncotarget. 2017;8(4):7175. doi: 10.18632/oncotarget.12739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Rilke Franco, Colnaghi Maria Ines, Cascinelli Natale, Andreola Salvatore, Baldini Maria Teresa, Bufalino Rosaria, Porta Giuseppe Della, Ménard Sylvie, Pierotti Marco A., Testori Alessandro. Prognostic significance of her-2/neu expression in breast cancer and its relationship to other prognostic factors. International Journal of Cancer. 1991;49(1):44–49. doi: 10.1002/ijc.2910490109. [DOI] [PubMed] [Google Scholar]
- 25.Lipponen P, et al. Tumour infiltrating lymphocytes as an independent prognostic factor in transitional cell bladder cancer. Eur J Cancer. 1993;29(1):69–75. doi: 10.1016/0959-8049(93)90579-5. [DOI] [PubMed] [Google Scholar]
- 26.Clemente CG, et al. Prognostic value of tumor infiltrating lymphocytes in the vertical growth phase of primary cutaneous melanoma. Cancer. 1996;77(7):1303–1310. doi: 10.1002/(SICI)1097-0142(19960401)77:7<1303::AID-CNCR12>3.0.CO;2-5. [DOI] [PubMed] [Google Scholar]
- 27.Waldhauer I, Steinle A. NK cells and cancer immunosurveillance. Oncogene. 2008;27(45):5932–5943. doi: 10.1038/onc.2008.267. [DOI] [PubMed] [Google Scholar]
- 28.Messerschmidt JL, Prendergast GC, Messerschmidt GL. How Cancers Escape Immune Destruction and Mechanisms of Action for the New Significantly Active Immune Therapies: Helping Nonimmunologists Decipher Recent Advances. Oncologist. 2016;21(2):233–243. doi: 10.1634/theoncologist.2015-0282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mohme Malte, Riethdorf Sabine, Pantel Klaus. Circulating and disseminated tumour cells — mechanisms of immune surveillance and escape. Nature Reviews Clinical Oncology. 2016;14(3):155–167. doi: 10.1038/nrclinonc.2016.144. [DOI] [PubMed] [Google Scholar]
- 30.Swann JB, Smyth MJ. Immune surveillance of tumors. J Clin Invest. 2007;117(5):1137–1146. doi: 10.1172/JCI31405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Campoli M, Chang C-C, Ferrone S. HLA class I antigen loss, tumor immune escape and immune selection. Vaccine. 2002;20:A40–A45. doi: 10.1016/S0264-410X(02)00386-9. [DOI] [PubMed] [Google Scholar]
- 32.Zhang Q, et al. Adoptive transfer of tumor-reactive transforming growth factor-β–insensitive CD8+ T cells: eradication of autologous mouse prostate cancer. Cancer Res. 2005;65(5):1761–1769. doi: 10.1158/0008-5472.CAN-04-3169. [DOI] [PubMed] [Google Scholar]
- 33.Chen M-L, et al. Regulatory T cells suppress tumor-specific CD8 T cell cytotoxicity through TGF-β signals in vivo. Proc Natl Acad Sci U S A. 2005;102(2):419–424. doi: 10.1073/pnas.0408197102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Gorelik L, Flavell RA. Immune-mediated eradication of tumors through the blockade of transforming growth factor-β signaling in T cells. Nat Med. 2001;7(10):1118–1122. doi: 10.1038/nm1001-1118. [DOI] [PubMed] [Google Scholar]
- 35.Kataoka T, et al. FLIP prevents apoptosis induced by death receptors but not by perforin/granzyme B, chemotherapeutic drugs, and gamma irradiation. J Immunol. 1998;161(8):3936–3942. [PubMed] [Google Scholar]
- 36.Hinz S, et al. Bcl-XL protects pancreatic adenocarcinoma cells against CD95-and TRAIL-receptor-mediated apoptosis. Oncogene. 2000;19(48):5477. doi: 10.1038/sj.onc.1203936. [DOI] [PubMed] [Google Scholar]
- 37.Dunn GP, Old LJ, Schreiber RD. The three Es of cancer immunoediting. Annu Rev Immunol. 2004;22:329–360. doi: 10.1146/annurev.immunol.22.012703.104803. [DOI] [PubMed] [Google Scholar]
- 38.Terabe M, Berzofsky JA. Immunoregulatory T cells in tumor immunity. Curr Opin Immunol. 2004;16(2):157–162. doi: 10.1016/j.coi.2004.01.010. [DOI] [PubMed] [Google Scholar]
- 39.Dong H, et al. Tumor-associated B7-H1 promotes T-cell apoptosis: a potential mechanism of immune evasion. Nat Med. 2002;8(8):793–800. doi: 10.1038/nm730. [DOI] [PubMed] [Google Scholar]
- 40.Schwartz RH. T cell anergy. Annu Rev Immunol. 2003;21(1):305–334. doi: 10.1146/annurev.immunol.21.120601.141110. [DOI] [PubMed] [Google Scholar]
- 41.Tripathi P, Agrawal S. Non-classical HLA-G antigen and its role in the cancer progression. Cancer Investig. 2006;24(2):178–186. doi: 10.1080/07357900500524579. [DOI] [PubMed] [Google Scholar]
- 42.Derré L, et al. Expression and release of HLA-E by melanoma cells and melanocytes: potential impact on the response of cytotoxic effector cells. J Immunol. 2006;177(5):3100–3107. doi: 10.4049/jimmunol.177.5.3100. [DOI] [PubMed] [Google Scholar]
- 43.Mantovani A, et al. Macrophage polarization: tumor-associated macrophages as a paradigm for polarized M2 mononuclear phagocytes. Trends Immunol. 2002;23(11):549–555. doi: 10.1016/S1471-4906(02)02302-5. [DOI] [PubMed] [Google Scholar]
- 44.Kim R, Emi M, Tanabe K. Cancer immunoediting from immune surveillance to immune escape. Immunology. 2007;121(1):1–14. doi: 10.1111/j.1365-2567.2007.02587.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Birkeland SA, et al. Cancer risk after renal transplantation in the Nordic countries, 1964–1986. Int J Cancer. 1995;60(2):183–189. doi: 10.1002/ijc.2910600209. [DOI] [PubMed] [Google Scholar]
- 46.Liu B, et al. ICP34. 5 deleted herpes simplex virus with enhanced oncolytic, immune stimulating, and anti-tumour properties. Gene Ther. 2003;10(4):292–303. doi: 10.1038/sj.gt.3301885. [DOI] [PubMed] [Google Scholar]
- 47.Bommareddy Praveen K., Patel Anand, Hossain Saamia, Kaufman Howard L. Talimogene Laherparepvec (T-VEC) and Other Oncolytic Viruses for the Treatment of Melanoma. American Journal of Clinical Dermatology. 2016;18(1):1–15. doi: 10.1007/s40257-016-0238-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Goldufsky J, et al. Oncolytic virus therapy for cancer. Oncolytic Virother. 2013;2:31–46. doi: 10.2147/OV.S38901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Larocca C, Schlom J. Viral Vector–based Therapeutic Cancer Vaccines. Cancer J. 2011;17(5):359. doi: 10.1097/PPO.0b013e3182325e63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Madan RA, et al. Ipilimumab and a poxviral vaccine targeting prostate-specific antigen in metastatic castration-resistant prostate cancer: a phase 1 dose-escalation trial. Lancet Oncol. 2012;13(5):501–508. doi: 10.1016/S1470-2045(12)70006-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Parato KA, et al. The oncolytic poxvirus JX-594 selectively replicates in and destroys cancer cells driven by genetic pathways commonly activated in cancers. Mol Ther. 2012;20(4):749–758. doi: 10.1038/mt.2011.276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Xie Y, et al. Immunotherapy for hepatocellular carcinoma: current advances and future expectations. J Immunol Res. 2018;2018:8740976. doi: 10.1155/2018/8740976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Breitbach CJ, et al. Oncolytic vaccinia virus disrupts tumor-associated vasculature in humans. Cancer Res. 2013;73(4):1265–1275. doi: 10.1158/0008-5472.CAN-12-2687. [DOI] [PubMed] [Google Scholar]
- 54.Yoo SY, et al. Evolutionary cancer-favoring engineered vaccinia virus for metastatic hepatocellular carcinoma. Oncotarget. 2017;8(42):71489. doi: 10.18632/oncotarget.17288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Miyamoto S, et al. Coxsackievirus B3 is an oncolytic virus with immunostimulatory properties that is active against lung adenocarcinoma. Cancer Res. 2012;72(10):2609–2621. doi: 10.1158/0008-5472.CAN-11-3185. [DOI] [PubMed] [Google Scholar]
- 56.Yaacov B, et al. Selective oncolytic effect of an attenuated Newcastle disease virus (NDV-HUJ) in lung tumors. Cancer Gene Ther. 2008;15(12):795–807. doi: 10.1038/cgt.2008.31. [DOI] [PubMed] [Google Scholar]
- 57.Liu T-C, Galanis E, Kirn D. Clinical trial results with oncolytic virotherapy: a century of promise, a decade of progress. Nat Rev Clin Oncol. 2007;4(2):101. doi: 10.1038/ncponc0736. [DOI] [PubMed] [Google Scholar]
- 58.Cukier-Meisner E. INFECTIOUS ENTHUSIASM. Biocentury. FEB 29, 2016. https://www.biocentury.com/biocentury/product-development/2016-02-29/how-oncolytic-viruses-are-coming-age-cancer-immunotherapy.
- 59.Breitbach CJ, Lichty BD, Bell JC. Oncolytic viruses: therapeutics with an identity crisis. EBioMedicine. 2016;9:31–36. doi: 10.1016/j.ebiom.2016.06.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Health, U.S.N.I.o. ClinicalTrials.gov. 2017 [cited 2017; Available from: http://www.clinicaltrials.gov. Accessed 11 2017.
- 61.Senzer NN, et al. Phase II clinical trial of a granulocyte-macrophage colony-stimulating factor–encoding, second-generation oncolytic herpesvirus in patients with unresectable metastatic melanoma. J Clin Oncol. 2009;27(34):5763–5771. doi: 10.1200/JCO.2009.24.3675. [DOI] [PubMed] [Google Scholar]
- 62.Eager R, Nemunaitis J. Clinical development directions in oncolytic viral therapy. Cancer Gene Ther. 2011;18(5):305–317. doi: 10.1038/cgt.2011.7. [DOI] [PubMed] [Google Scholar]
- 63.Park B-H, et al. Use of a targeted oncolytic poxvirus, JX-594, in patients with refractory primary or metastatic liver cancer: a phase I trial. Lancet Oncol. 2008;9(6):533–542. doi: 10.1016/S1470-2045(08)70107-4. [DOI] [PubMed] [Google Scholar]
- 64.Zamarin D, et al. Localized oncolytic virotherapy overcomes systemic tumor resistance to immune checkpoint blockade immunotherapy. Sci Total Environ. 2014;6(226):226ra32. doi: 10.1126/scitranslmed.3008095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Kaufman HL, et al. Local and distant immunity induced by intralesional vaccination with an oncolytic herpes virus encoding GM-CSF in patients with stage IIIc and IV melanoma. Ann Surg Oncol. 2010;17(3):718–730. doi: 10.1245/s10434-009-0809-6. [DOI] [PubMed] [Google Scholar]
- 66.Andtbacka RHI, et al. OPTiM: a randomized phase III trial of talimogene laherparepvec (T-VEC) versus subcutaneous (SC) granulocyte-macrophage colony-stimulating factor (GM-CSF) for the treatment (tx) of unresected stage IIIB/C and IV melanoma. in ASCO Annual Meeting Proceedings. 2013. [Google Scholar]
- 67.Kaufman HL, Kohlhapp FJ, Zloza A. Oncolytic viruses: a new class of immunotherapy drugs. Nat Rev Drug Discov. 2015;14(9):642. doi: 10.1038/nrd4663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Barton KN, et al. Phase I study of noninvasive imaging of adenovirus-mediated gene expression in the human prostate. Mol Ther. 2008;16(10):1761–1769. doi: 10.1038/mt.2008.172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Liikanen I, et al. Serum HMGB1 is a predictive and prognostic biomarker for oncolytic immunotherapy. Oncoimmunology. 2015;4(3):e989771. doi: 10.4161/2162402X.2014.989771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Huang B, et al. Synergistic anti-tumor effects between oncolytic vaccinia virus and paclitaxel are mediated by the IFN response and HMGB1. Gene Ther. 2011;18(2):164–172. doi: 10.1038/gt.2010.121. [DOI] [PubMed] [Google Scholar]
- 71.Breitbach CJ, et al. Intravenous delivery of a multi-mechanistic cancer-targeted oncolytic poxvirus in humans. Nature. 2011;477(7362):99–102. doi: 10.1038/nature10358. [DOI] [PubMed] [Google Scholar]
- 72.Mastrangelo MJ, Maguire HC, Lattime EC. Intralesional vaccinia/GM-CSF recombinant virus in the treatment of metastatic melanoma. Cancer Gene Therapy. 2002:391–400. Boston: Springer. [DOI] [PubMed]
- 73.Ji R-R, et al. An immune-active tumor microenvironment favors clinical response to ipilimumab. Cancer Immunol Immunother. 2012;61(7):1019–1031. doi: 10.1007/s00262-011-1172-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Spranger S, et al. Up-regulation of PD-L1, IDO, and Tregs in the melanoma tumor microenvironment is driven by CD8+ T cells. Sci Total Environ. 2013;5(200):200ra116. doi: 10.1126/scitranslmed.3006504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Amsen D, et al. Tissue-resident memory T cells at the center of immunity to solid tumors. Nat Immunol. 2018:1. [DOI] [PubMed]
- 76.Ringelhan M, et al. The immunology of hepatocellular carcinoma. Nat Immunol. 2018:1. [DOI] [PubMed]
- 77.Zaretsky JM, et al. Mutations associated with acquired resistance to PD-1 blockade in melanoma. N Engl J Med. 2016;375(9):819–829. doi: 10.1056/NEJMoa1604958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Kaplan DH, et al. Demonstration of an interferon γ-dependent tumor surveillance system in immunocompetent mice. Proc Natl Acad Sci. 1998;95(13):7556–7561. doi: 10.1073/pnas.95.13.7556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Dunn GP, et al. IFN unresponsiveness in LNCaP cells due to the lack of JAK1 gene expression. Cancer Res. 2005;65(8):3447–3453. doi: 10.1158/0008-5472.CAN-04-4316. [DOI] [PubMed] [Google Scholar]
- 80.Puzanov I, et al. Talimogene laherparepvec in combination with ipilimumab in previously untreated, unresectable stage IIIB-IV melanoma. J Clin Oncol. 2016;34(22):2619–2626. doi: 10.1200/JCO.2016.67.1529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Long Georgina V., Dummer Reinhard, Ribas Antoni, Puzanov Igor, VanderWalde Ari, Andtbacka Robert Hans Ingemar, Michielin Olivier, Olszanski Anthony J., Malvehy Josep, Cebon Jonathan S., Fernandez Eugenio, Kirkwood John M., Gajewski Thomas, Gause Christine K., Chen Lisa, Gorski Kevin, Anderson Abraham, Kaufman David Ross, Chou Jeffrey, Hodi F. Stephen. Efficacy analysis of MASTERKEY-265 phase 1b study of talimogene laherparepvec (T-VEC) and pembrolizumab (pembro) for unresectable stage IIIB-IV melanoma. Journal of Clinical Oncology. 2016;34(15_suppl):9568–9568. doi: 10.1200/JCO.2016.34.15_suppl.9568. [DOI] [Google Scholar]
- 82.Ribas A, et al. Oncolytic virotherapy promotes intratumoral T cell infiltration and improves anti-PD-1 immunotherapy. Cell. 2017;170(6):1109–1119. e10. doi: 10.1016/j.cell.2017.08.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Chesney Jason Alan, Puzanov Igor, Ross Merrick I., Collichio Frances A., Milhem Mohammed M., Chen Lisa, Kim Jenny J., Garbe Claus, Hauschild Axel, Andtbacka Robert Hans Ingemar. Primary results from a randomized (1:1), open-label phase II study of talimogene laherparepvec (T) and ipilimumab (I) vs I alone in unresected stage IIIB- IV melanoma. Journal of Clinical Oncology. 2017;35(15_suppl):9509–9509. doi: 10.1200/JCO.2017.35.15_suppl.9509. [DOI] [Google Scholar]
- 84.Ribas A, et al. Association of pembrolizumab with tumor response and survival among patients with advanced melanoma. JAMA. 2016;315(15):1600–1609. doi: 10.1001/jama.2016.4059. [DOI] [PubMed] [Google Scholar]
- 85.Restifo NP, et al. Loss of functional beta2-microglobulin in metastatic melanomas from five patients receiving immunotherapy. J Natl Cancer Inst. 1996;88(2):100–108. doi: 10.1093/jnci/88.2.100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Sucker A, et al. Genetic evolution of T-cell resistance in the course of melanoma progression. Clin Cancer Res. 2014;20(24):6593–6604. doi: 10.1158/1078-0432.CCR-14-0567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.d'Urso C, et al. Lack of HLA class I antigen expression by cultured melanoma cells FO-1 due to a defect in B2m gene expression. J Clin Investig. 1991;87(1):284. doi: 10.1172/JCI114984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Le DT, et al. Safety and survival with GVAX pancreas prime and Listeria monocytogenes–expressing mesothelin (CRS-207) boost vaccines for metastatic pancreatic cancer. J Clin Oncol. 2015;33(12):1325–1333. doi: 10.1200/JCO.2014.57.4244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Le DT, et al. Evaluation of ipilimumab in combination with allogeneic pancreatic tumor cells transfected with a GM-CSF gene in previously treated pancreatic cancer. J Immunother. 2013;36(7):382. doi: 10.1097/CJI.0b013e31829fb7a2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.De Silva N, et al. Double trouble for tumours: exploiting the tumour microenvironment to enhance anticancer effect of oncolytic viruses. Cytokine Growth Factor Rev. 2010;21(2):135–141. doi: 10.1016/j.cytogfr.2010.02.007. [DOI] [PubMed] [Google Scholar]
- 91.Underhill DM, Ozinsky A. Phagocytosis of microbes: complexity in action. Annu Rev Immunol. 2002;20(1):825–852. doi: 10.1146/annurev.immunol.20.103001.114744. [DOI] [PubMed] [Google Scholar]
- 92.Goldberg SN, et al. Image-guided tumor ablation: standardization of terminology and reporting criteria 1. Radiology. 2005;235(3):728–739. doi: 10.1148/radiol.2353042205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Nagy JA, et al. Permeability properties of tumor surrogate blood vessels induced by VEGF-A. Lab Investig. 2006;86(8):767–780. doi: 10.1038/labinvest.3700436. [DOI] [PubMed] [Google Scholar]
- 94.Nagy JA, Dvorak HF. Heterogeneity of the tumor vasculature: the need for new tumor blood vessel type-specific targets. Clin Exp Metastasis. 2012;29(7):657–662. doi: 10.1007/s10585-012-9500-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Farnsworth R, et al. Vascular remodeling in cancer. Oncogene. 2014;33(27):3496–3505. doi: 10.1038/onc.2013.304. [DOI] [PubMed] [Google Scholar]
- 96.Carmeliet P, Jain RK. Principles and mechanisms of vessel normalization for cancer and other angiogenic diseases. Nat Rev Drug Discov. 2011;10(6):417–427. doi: 10.1038/nrd3455. [DOI] [PubMed] [Google Scholar]
- 97.Jacobs A, et al. Positron-emission tomography of vector-mediated gene expression in gene therapy for gliomas. Lancet. 2001;358(9283):727–729. doi: 10.1016/S0140-6736(01)05904-9. [DOI] [PubMed] [Google Scholar]
- 98.Dingli D, Russell SJ, Morris JC. In vivo imaging and tumor therapy with the sodium iodide symporter. J Cell Biochem. 2003;90(6):1079–1086. doi: 10.1002/jcb.10714. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Not applicable.