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. 2021 Oct 5;23:239–253. doi: 10.1016/j.omto.2021.09.008

A systematic analysis on the clinical safety and efficacy of onco-virotherapy

Darshak K Bhatt 1,2, Lieske Wekema 1, Luciana Rodrigues Carvalho Barros 2, Roger Chammas 2, Toos Daemen 1,
PMCID: PMC8551473  PMID: 34761104

Abstract

Several onco-virotherapy candidates have been developed and clinically evaluated for the treatment of cancer, and several are approved for clinical use. In this systematic review we explored the clinical impact of onco-virotherapy compared to other cancer therapies by analyzing factors such as trial design, patient background, therapy design, delivery strategies, and study outcomes. For this purpose, we retrieved clinical studies from three platforms: ClinicalTrials.gov, PubMed, and EMBASE. We found that most studies were performed in patients with advanced and metastatic tumors, using a broad range of genetically engineered vectors and mainly administered intratumorally. Therapeutic safety was the most frequently assessed outcome, while relatively few studies focused on immunological antitumor responses. Moreover, only 59 out of 896 clinical studies were randomized controlled trials reporting comparative data. This systemic review thus reveals the need of more, and better controlled, clinical studies to increase our understanding on the application of onco-virotherapy either as a single treatment or in combination with other cancer immunotherapies.

Keywords: oncolytic virotherapy, cancer, clinical study, trial, outcomes, immune response, systematic review

Graphical abstract

graphic file with name fx1.jpg


Bhatt and colleagues demonstrate that onco-virotherapy has proven to be clinically safe due to efforts in vector design, rational choices of therapeutic dosage, and delivery strategies. However, the analysis reveals the need of more controlled trials in addition to including early stage cancer patients and evaluation of immune responses.

Introduction

In the last two decades, viral vector-based therapies are gaining increasing attention as a promising strategy for cancer treatment. Studies in the field of cancer virotherapy have explored the administration of viral vectors as agents for therapeutic vaccines,1 gene therapy,2, 3, 4 and more recently as oncolytic therapeutics.5,6 To date, several viral vectors are approved for clinical application. Safety and efficacy are the primary goals of clinical trials and, therefore, the clinical success of cancer virotherapy depends on these outcomes. Advanced genetic engineering tools have allowed researchers to improve safety by enhancing tumor targeting and tumor replication.5 Additionally, with these tools, the efficacy of viral vectors for onco-virotherapy can be enhanced by encoding transgenes that strengthen the oncolytic potential or that elicit stronger antitumoral immune responses.7 Besides vector design, factors such as clinical trial design, patient background, dose, frequency, delivery strategy, issues related to immune-mediated virus elimination, and the choice of clinical outcome measures may also influence clinical success. In this study we aimed to analyze these parameters based on a systematic review. For this purpose we retrieved articles from several platforms in the context of onco-virotherapy for antitumor responses. Previous systematic reviews on onco-virotherapy were based on a limited number of articles retrieved exclusively from PubMed,6,8 thereby overlooking studies archived by other platforms, while a recent review focused on randomized controlled trials only.9 To provide a broader overview of the global trends in clinical research related to onco-virotherapy we conducted an extensive literature survey that includes a more complete set of articles and trials retrieved from multiple platforms, including ClinicalTrials.gov, PubMed (Medline), and EMBASE. For a comprehensive analysis of the clinical research in onco-virotherapy to date, our dataset includes phase I–IV trials, along with cohort and case studies.

Results

Scenario of clinical studies evaluating onco-virotherapy

A systematic search performed on PubMed, EMBASE, and ClinicalTrials.gov, retrieved until August 2020, found 249 trials, 331 articles on PubMed, and 316 articles on EMBASE that contained relevant terms (Supplemental information) and fulfilled the necessary inclusion criteria required for the analysis on clinical data related to onco-virotherapy (Figure 1A). Of these trials and articles, 59 entries contained data from controlled clinical trials, allowing the comparison of onco-virotherapy with either placebo, standard palliative care, or conventional therapy (Figure 1A). Most of these studies were performed in North America, the Republic of China, and Europe (Figure 1B).

Figure 1.

Figure 1

Screening of studies focusing on clinical safety and efficacy of onco-virotherapy

(A) Systematic review process and inclusion of articles and trials based on target criteria, where excluded reports were those that did not focus on the application of onco-virotherapy for cancer patients, or were they reviews, preclinical studies, or commentaries, or articles in which the abstract was not reported in English. (B) Geographical distribution of labs and institutes assessing safety and efficacy of onco-virotherapy.

There has been an increase in the number of studies in the past two decades, which can be attributed to the widespread availability of genetic engineering platforms and molecular techniques to design and test onco-virotherapy in both pre-clinical and clinical stages (Figure 2A). Especially the approval of talimogene laherparepvec10 (T-VEC, herpes virus with infected cell protein [ICP] 34.5 and ICP47 deletion, encoding granulocyte-macrophage colony-stimulating factor [GM-CSF]) by the U.S. Food and Drug Administration (FDA) and European Medicines Agency (EMA) in 2015, revived the interest for clinical applications of onco-virotherapy (Figure 2A). Most clinical studies have been conducted at phase I and II stages, often to test the safety and maximum tolerated dosage of the onco-virotherapy (Figure 2B). Although a wide range of viral vectors have been tested in phase I and II trials for safety,5 few studies have progressed further to phase III trials (Figure 2B). In terms of the genetic nature, both enveloped and non-enveloped DNA and RNA vectors have been tested. Adenovirus (non-enveloped DNA virus) was the most commonly studied platform with 42.5% of studies, followed by herpes simplex virus (enveloped DNA virus) with 21.3% of studies, vaccinia virus (enveloped DNA virus) with 13.2% of studies, and reovirus (non-enveloped RNA virus) with 7.3% of studies. Patients with advanced and metastatic tumors were the most frequently recruited patients to receive onco-virotherapy (Figure 2C), likely due to the fact that cancer patients with a good prognosis generally benefit from standard care. However, this may limit our understanding of the potential efficacy of onco-virotherapy in patients with early stage cancers.

Figure 2.

Figure 2

Scenario of clinical studies assessing onco-virotherapy

(A) Trends in clinical studies published as trials and articles assessing the role of different onco-virotherapy. (B) Frequency of studies published as trials and articles according to phase and type of onco-virotherapy studied, with the legend the same as in (A). (C) Patient tumor stage and status that received onco-virotherapy. (D) Onco-virotherapy trial status as per ClinicalTrials.gov. (E) Number of cancer patients recruited per study and treated via onco-virotherapy in different phases. (F) Frequency of therapeutic combination with onco-virotherapy.

Although more than 200 trials related to onco-virotherapy are registered on ClinicalTrials.gov, fewer than 100 trials have been completed (Figure 2D). Many studies have reported being terminated or suspended due to funding issues or a lack of participants, and some trials are still active or recruiting patients. More than 2,000 cancer patients have been recruited and treated with onco-virotherapy, with phase I/II trials mostly conducted in a relatively small group of patients, and phase III trials with more than 200 patients per group (Figure 2E). Onco-virotherapy has been given to patients as a monotherapy, while occasionally it has been combined with chemotherapy and radiotherapy, and in some cases with targeted therapy (Figure 2F). Moreover, a limited number of case studies that did not have success with conventional checkpoint therapy or radiotherapy/chemotherapy (indicated as doctor’s choice in Figure 2F) later proceeded with onco-virotherapy alone11 or in combination with cyclophosphamide12 to treat recurrent tumors in patients. Recent preclinical findings supporting the combination of immunotherapy have also led to clinical studies where checkpoint inhibitors targeting PD-1 (programmed death receptor-1) or PD-L1 (programmed death ligand-1) have been administered along with onco-virotherapy.13

Viral modifications and strategic therapy design to improve safety and efficacy

To establish the safety of onco-virotherapy for cancer patients, genetic modifications have been performed on a wide range of viral vectors to improve tumor targeting and attachment or to enhance tumor-specific replication (Figure 3A). Adenoviruses, herpes viruses, vaccinia viruses, and reoviruses have often been engineered to improve tumor specificity by such modifications. Improvement in targeting of adenovirus was for example achieved through knob modifications, and attachment was improved by adenoviral fiber protein delta-24-RGD modification or via intercellular adhesion molecules. Alternatively, viral replication was restricted to tumor cells through modification or deletion of viral proteins such as early proteins (E1–E4) in adenovirus, and deletion of ICP34.5 and ICP47 in herpes virus (Table S1). Moreover, in some cases reovirus, vaccinia virus, and adenovirus were designed to have target-specific replication in tumor cells with differentially activated pathways such as RAS GTPases (rat sarcoma GTPases) or p16-RB (retinoblastoma protein) pathways (Table S1). The 2018 Nobel prize-winning technique of directed evolution has also been implemented as a means to screen adenoviruses with improved selectivity for tumor cells and their subsequent oncolysis.

Figure 3.

Figure 3

Viral modifications to improve safety and efficacy

(A) Virus modifications to improve tumor specificity. (B) Introduction of transgenes to improve therapeutic efficiency. Each line represents a single study (trial or article).

Viral vectors have also been engineered to deliver and encode transgenes that act as “suicide-genetic switch” for controlled lysis of target cancer cells, for example by using ganciclovir to induce cell death of tumor cells expressing a thymidine kinase (TK2) transgene (Figure 3B). Simultaneously, viral vectors have been modified to improve efficacy by incorporating genes to enhance or direct antitumor immune responses. These are either tumor-specific antigens such as prostate-specific antigen (PSA) and mucin1 (MUC1), antitumor genes including tumor suppressor protein 53 (TP53), and genes encoding growth factors, cytokines, or ligand molecules, such as GM-CSF, interferon, interleukin-12, Fas ligand, and CD40 ligand, or marker genes encoding fluorescent proteins or enzymes that can be used for detection and quantification of transgene expression such as galactosidase and luciferase (Figure 3B). The most commonly encoded genes were found to be GM-CSF, TP53, and TK2, while adenoviruses, herpes viruses, and vaccinia viruses were the most frequently engineered vectors of choice.

Regarding therapeutic delivery, intratumoral delivery of viral vectors has remained the preferred route of injection due to safety and efficacy concerns by restricting viral infection to tumor. Nevertheless, intravenous, subcutaneous, and intramuscular routes have also been tested to achieve better biodistribution and to target distant metastatic sites (Figure 4A). In the case of melanoma, intratumoral delivery has remained a preferred choice due to easier accessibility of tumors. A wide range of virus doses have been tested for each viral vector type, and safety has been associated with lower doses, albeit at the cost of therapeutic efficacy. For example, adenoviruses have been given to patients at doses considered safe up to 1014 particles per injection for the best efficacy, whereas herpes viruses have demonstrated to be efficient in the range of 106–108 particles per injection (Figure 4B). In terms of the number of virus injections given to cancer patients, multiple injections were preferred and the scheme varied from daily, weekly, and monthly intervals (Figure 4C; Table S1).

Figure 4.

Figure 4

Strategic design to improve safety and efficacy

(A) Trends in choice of viral vector and delivery site according to tumor type. Each line represents a single study (trial or article). (B) Maximum tolerated dose per virus type in patients. (C) Frequency of injections applied.

Evaluation of clinical outcomes related to safety and efficacy

To test the therapeutic efficacy of viruses, studies have assessed different clinical outcomes such as overall survival, tumor size change, and overall response rate. However, as most of the trials comprised phase I/II stages, the most common study outcome was safety (Figure 5A). Although onco-virotherapy is nowadays also considered to induce antitumor immune responses, there have been relatively few (or have been fewer) studies assessing immunological outcomes (Figure 5A). Interestingly, the most commonly studied immunological features were antibody responses to viral vectors and antitumor adaptive responses mediated via lymphocytes (Figure 5B). Immune responses related to myeloid cells have been rarely assessed in clinical studies,6,14, 15, 16, 17, 18, 19 which might be due to difficulties in obtaining and processing clinical tissue samples from the patients as compared to the easier accessibility of peripheral blood to study lymphocytes, antibodies, and cytokine-based innate responses (Figure 5B).

Figure 5.

Figure 5

Clinical outcomes studied related to efficacy

(A) Frequent clinical outcomes studied after onco-virotherapy. (B) Type of immunological outcomes studied. (C) Commonly assessed control groups in comparison to onco-virotherapy. (D) Significant improvement or not in clinical outcomes after onco-virotherapy as compared to respective control groups. OS, overall survival; PFS, progression-free survival; ORR, objective response rate; DCR, disease control rate; DLT, dose limiting toxicity; MTD, maximum tolerated dose.

Considering the controlled clinical trials, onco-virotherapy has often been compared with standard palliative care and/or treatment in addition to placebo groups of patients (Figure 5C). In the case of combinatorial therapeutic approaches, the control group was treated with virus alone. Onco-virotherapy, as compared to these standard treatments, either resulted in a better or similar outcome but rarely worsened the outcome as based on overall survival, progression-free survival, and decrease in tumor size (Figure 5D). The factors related to each of the controlled trials are summarized in Table 1. Of note, most trials did not involve control groups. However, also many of the trials with control groups had major limitations, as onco-virotherapy had to be compared to standard treatment or onco-virotherapy plus standard treatment. For example, in some cases the standard treatment was palliative care, placebo therapy, or observational data from tumor type-matched patients, which does not provide an indication of the improvement due to onco-virotherapy in comparison to conventional chemotherapy and radiotherapy. Differences in individual trial design and the multitude of outcome measures make it difficult to compare studies performed by independent-unrelated institutes. Also, many articles and clinical trials have incomplete descriptions of the methods employed, increasing the difficulty of making comparisons and meta-analysis even more.

Table 1.

Summary of controlled clinical trials exploring safety and efficacy of onco-virotherapy

Study Virus type Dose Tumor type and stage Mean age and sex Control group Transgene encoded Tumor Specificity Follow-up (months) Endpoint Outcome
1975, Everall et al.20 vaccinia virus 18 melanoma, stage 1 49.5 years, both wide local excision N/A N/A 48 progression-free survival no change
1989, Freedman et al.21 influenza A virus N/A uterine cervix carcinoma 46 years, female radiotherapy N/A N/A 95 progression-free survival no change
1992, Schlag et al.22 Newcastle disease virus 17 colorectal cancer with metastasis to the liver, stage 4 55 years, both surgery N/A N/A N/A N/A N/A
1993, Csatary et al.23 Newcastle disease virus N/A various cancers, stage 3 N/A, both placebo N/A N/A 24 overall survival better
1996, Ockert et al.24 Newcastle disease virus N/A colorectal carcinoma N/A, both surgery N/A N/A 22 safety safe
1995, Hinkel et al.25 Newcastle disease virus 26 renal cell carcinoma, stage 3–4 N/A, both uninfected irradiated renal carcinoma cells, virus alone, interleukin (IL)-2 alone N/A N/A N/A N/A N/A
1995, Wallack et al.26 vaccinia virus N/A melanoma, stage 2 N/A, both vaccinia virus alone N/A N/A 48 progression-free survival no change
1997, Wallack et al.27 vaccinia virus N/A surgically resected melanoma, stage 2 N/A, both vaccinia virus alone N/A N/A 42.28 overall survival no change
1998, Wallack et al.28 vaccinia virus N/A melanoma, stage 3 N/A, both vaccinia virus alone N/A N/A 46.3 N/A no change
2000, Sandmair et al.29 adenovirus 310 glioma, stage 3–4 51 years, both LacZ galactosidase N/A N/A 15 safety safe
2000, Rainov et al.3 herpes virus N/A newly diagnosed, previously untreated glioblastoma multiforme 59.3 years, both surgical resection and radiotherapy thymidine kinase 2 deletion ICP34.5 and ICP47 N/A Progression-free survival no change
2002, Habib et al.30 adenovirus 311 hepatocellular carcinoma, stage 2 59 years, both percutaneous ethanol injection N/A E1B deletion 1 safety safe
2003, Voit et al.31 Newcastle disease virus N/A melanoma, stage 3 53.5 years, both placebo N/A N/A 18 safety safe
2003, Zhang et al.32 adenovirus 112 head and neck squamous cell carcinoma N/A radiotherapy TP53 N/A N/A tumor size better
2003, Chen C.33 adenovirus N/A nasopharyngeal carcinoma N/A, both radiotherapy TP53 N/A 3 safety safe
2004, Xia et al.34 adenovirus 1.512 squamous cell cancer of head and neck or esophagus N/A, both cisplatin with 5-fluorouracil or adriamycin with 5-fluorouracil N/A E1B-55-kDa gene deletion N/A objective response rate better
2006, Spaner et al.35 canarypox 56 melanoma, stage 3–4 50 years, both antigen peptides alone gp100 antigen N/A 8 N/A N/A
2006, Lindsey et al.36 vaccinia virus 29 melanoma, stage 3–4 47 years, both virus alone tyrosinase N/A 4 N/A no change
2008, ClinicalTrials.gov: NCT00613509 canarypox N/A melanoma, stage 3–4 52.8 years, both interferon alpha-2b multiple melanoma antigens N/A 88 progression-free survival better
2008, Dong et al.37 adenovirus 212 lung, ovarian, liver, breast, celiothelioma, stage 3–4 59 years, both cisplatin TP53 N/A 2 objective response rate better
2009, Guan et al.38 adenovirus 112 non-small cell lung cancer, stage 3–4 58 years, both bronchial arterial infusion TP53 N/A 12 safety safe
2009, Pan et al.39 adenovirus 112 nasopharyngeal carcinoma, stage 2–4 48.5 years, both radiotherapy TP53 N/A 72 objective response rate better
2009, Tian et al.40 adenovirus 112 hepatocellular carcinoma 55.5 years, both transcatheter arterial chemoembolization TP53 N/A 128 safety safe
2010, Yang et al.41 adenovirus 312 hepatocellular carcinoma 55 years, both fractionated stereotactic radiotherapy TP53 N/A 35 safety safe
2010, ClinicalTrials.gov: NCT01280058 reovirus N/A pancreatic cancer, stage 4 64 years, both carboplatin with paclitaxel N/A RAS proto-oncogene dependency 48 progression-free survival worse
2011, Heo et al.42 vaccinia virus 19 liver cancer 47.6 years, male historical data of control patients or sorafenib alone GM-CSF EGFR-Ras dependency 2 tumor size better
2011, Cerullo et al.43 adenovirus 112 advanced metastatic solid tumors, stage 3–4 61 years, both cyclophosphamide in combination with virotherapy GM-CSF RGD-D24 targeting 12 overall survival better
2012, Koski et al.44 adenovirus 111 colorectal, sarcoma, pancreatic, lung, breast, mesothelioma 57.5 years, both verapamil GM-CSF integrin-targeted Ad5-D34-RGD N/A overall survival no change
2013, Suriano et al.45 vaccinia virus N/A melanoma, stage 3 50 years, both N/A N/A N/A N/A overall survival no change
2013, Westphal et al.46 adenovirus 112 high-grade glioma, stage 3 55.4 years, both resection and standard care thymidine kinase 2 N/A 152 overall survival no change
2014, Dong et al.47 adenovirus 112 unresectable hepatocellular carcinoma, stage 3-4 54 years, both transarterial chemoembolization alone N/A N/A N/A progression-free survival better
2014, Freytag et al.48 adenovirus 112 intermediate risk prostate cancer, stage 2 61 years, male radiotherapy thymidine kinase 2 N/A 48 safety safe
2015 and 2018, ClincialTrials.gov: NCT00769704 herpes virus 48 melanoma, stage 3–4 64 years, both GM-CSF therapy GM-CSF deletion of ICP34.5 and ICP47 44.4 other N/A
2015, Donina et al.49 picornavirus 16 melanoma, stage 1–2 62.3 years, both untreated observational group N/A N/A 47.8 overall survival better
2015, ClincialTrials.gov: NCT00769703 herpes virus 18 melanoma, stage 3–4 GM-CSF therapy GM-CSF deletion of ICP34.5 and ICP47 44 disease control rate better
2015, Kanerva et al.50 adenovirus N/A various cancers 60.5 years, both matched controls, cancer type, and disease phase GM-CSF integrin-targeted 46 safety safe
2015, Lin et al.51 adenovirus 112 hepatocellular carcinoma 55 years, both transarterial chemoembolization of carboplatin N/A E1B deletion 12 overall survival better
2015, ClinicalTrials.gov: NCT00179309 vaccinia virus 19 breast cancer, stage 4 54.3 years, both docetaxel CEA, MUC1, and TRICOM CEA and MUC1 197 progression-free survival better
2015, ClinicalTrials.gov: NCT00634595 adenovirus 112 head and neck squamous cell carcinoma, stage 3–4 52 years, both cisplatin and paclitaxel endostatin N/A 10 N/A no change
2016, ClinicalTrials.gov: NCT02705196 adenovirus N/A pancreatic cancer, stage 3 >18 years, both gemcitabine and paclitaxel with and without anti-PD-L1 antibody N/A N/A N/A N/A N/A
2016, Andtbacka et al.10,52 herpes virus N/A melanoma, stage 3–4 63 years, both subcutaneous injection of GM-CSF GM-CSF deletion of ICP34.5 and ICP47 N/A tumor size better
2016, Gao et al.53 adenovirus 510 malignant and solid tumors, stage 3–4 35 years, both adriamycin alone GM-CSF N/A N/A N/A better
2016, ClinicalTrials.gov: NCT00870181 adenovirus 112 high-grade gliomas, stage 3–4 52.5 years, both surgery, systemic chemotherapy, or palliative care thymidine kinase 2 N/A 71 progression-free survival better
2016, Andtbacka et al.10,52 herpes virus 18 unresected melanoma, stage 3–4 63 years, both GM-CSF therapy GM-CSF deletion of ICP34.5 and ICP47 30 disease control rate N/A
2016, et al.54 adenovirus 112 cervical cancer, stage 2–3 52 years, female radiotherapy in combination with brachytherapy TP53 N/A 605 safety safe
2016, Harrington et al.55 herpes virus 18 melanoma, stage 3–4 63 years, both GM-CSF therapy GM-CSF deletion of ICP34.5 and ICP47 18 overall survival better
2017, Ma et al.56 adenovirus 112 nasopharyngeal carcinoma, stage 2 N/A, both radiation, cisplatin or 5-fluorouracil TP53 N/A 36 overall survival better
2017, Cohn et al.57 reovirus 310 ovarian, tubal, or peritoneal cancer, stage 2–3 60 years, female paclitaxel N/A N/A 128 overall survival no change
2018, Bradbury et al.58 reovirus 4.512 lung adenocarcinoma, stage 3–4 64 years, both chemotherapy N/A N/A 180 overall survival no change
2018, Xiao et al.4 adenovirus 112 advanced unresectable soft-tissue sarcomas, stage 3 49 years, both hyperthermia alone or in combination with radiotherapy TP53 N/A N/A disease control rate better
2018, Liu et al.59 adenovirus 19 hypopharyngeal squamous cell carcinoma 57.9 years, both surgery alone or in combination with chemo-radiotherapy TP53 N/A 36 overall survival better
2018, ClinicalTrials.gov: NCT01622543 reovirus 310 colorectal cancer, stage 4 50 years, both leucovorin, 5-fluorouracil, oxaliplatin, or bevacizumab N/A N/A 13 progression free survival worse
2018, ClinicalTrials.gov: NCT01619813 reovirus 310 metastatic prostate adeno-carcinoma, stage 4 69 years, male docetaxel and prednisone N/A N/A 20 progression-free survival better
2018, ClinicalTrials.gov: NCT01656538 reovirus 310 metastatic breast cancer, stage 4 44 years, female paclitaxel N/A N/A 295 progression-free survival no change
2018, ClinicalTrials.gov: NCT01708993 reovirus 4.510 on-small cell lung cancer, stage 3-4 63 years, both pemetrexed or docetaxel N/A N/A 27 safety safe
2018, ClinicalTrials.gov: NCT01740297 herpes virus 48 unresectable melanoma, stage 3-4 64.5 years, both ipilimumab GM-CSF deletion of ICP34.5 and ICP47 156 safety safe
2018, He et al.60 adenovirus 112 hepatocellular carcinoma, stage 1–4 55 years, both transarterial chemo-embolization N/A N/A 13 overall survival better
2019, NCT01387555 vaccinia virus 19 hepatocellular carcinoma, stage 3 57 years, both supportive care GM-CSF N/A 4.3 overall survival no change
2020, Schenk et al.61 picornavirus 111 small cell carcinoma 63 years, both saline N/A natural 17 progression-free survival worse

N/A, not available; GM-CSF, granulocyte-macrophage colony-stimulating factor; TP53, tumor protein 53; ICP, infected cell protein.

Published articles and clinical trials

Finally, as a reference to the design and conduct of future systematic analysis on clinical trials, we demonstrate the importance of including multiple databases to retrieve information. Through this study, we found that there were only a few variables showing similarity between the information collected via articles (obtained from PubMed and EMBASE) and trials (from ClinicalTrials.gov). Patient background-related information, such as age (Figure 6A), follow-up period (Figure 6B), and sex (Figure 6C), were equal between clinical trial and articles. However, other variables showed high disparity. Information related to trial design, such as the type of therapeutic combination, was found to be different between the data obtained from trials and articles (Figure 6D). Clinical trials were more often funded by private institutions, while articles more often received public funding (Figure 6E). Furthermore, the number of control groups was lower for the clinical trials compared to the articles (Figure 6F), and the number of study groups was smaller (Figure 6G). Clinical trials mainly focused on treating patients with advanced and metastatic cancer types, whereas articles also treated stage I and II cancer patients (Figure 6H) and investigated immune responses (Figures 6I and 6J). Although adenovirus was the most frequently studied viral vector by both clinical trials and articles, clinical trials studied herpes and vaccinia virus almost equally (Figure 6K). The described disparity is probably caused by the fact that many trials are not registered on ClinicalTrials.gov, and that articles on PubMed and EMBASE, in contrast to trials on ClinicalTrials.gov, are peer reviewed (Figure 1A).

Figure 6.

Figure 6

Disparity of data obtained from clinicaltrials.gov and articles

Disparities are reported in terms of (A) patient age, (B) follow-up days, (C) sex, (D) combinatorial strategy with onco-virotherapy, (E) funding, (F) inclusion of control group, (G) number of groups per study, (H) patient tumor stage, (I) immunological outcomes studied, (J) type of immunological outcomes studied, and (K) type of onco-virotherapy studied. Bars in red represent clinical trials and in blue represent articles (retrieved from PubMed and EMBASE).

Discussion

Onco-virotherapy is a promising form of immunotherapy for the treatment of cancer. In this review we evaluated the clinical impact of onco-virotherapy for cancer patients who received virotherapy in comparison with cancer patients who received other therapies by means of a systematic analysis. Overall, our results indicate that onco-virotherapy has proven to be safe due to efforts in vector design, rational choices of therapeutic dosage, and delivery strategies. Simultaneously, various viral vectors have shown clinical efficacy in terms of better therapeutic outcomes as compared to standard care. Moreover, combinational strategies such as checkpoint blockade, chemotherapy, radiotherapy, and even introduction of immunogenic transgenes has improved clinical efficacy. With this analysis, we aim to provide a reference for clinicians and researchers in the onco-virotherapy field.

Our analysis identified 18 viral vectors that were used as therapeutic platform to treat 26 cancer types. These studies used the following virus types: adenovirus (42.5% of studies), canarypox virus (1.3% of studies), coxsackie virus (0.6% of studies), fowlpox virus (0.3% of studies), herpes virus (21.3% of studies), influenza virus (0.1% of studies), measles virus (3% of studies), Newcastle disease virus (3.6% of studies), parvovirus (0.4% of studies), picornavirus (1.5% of studies), polio virus (0.4% of studies), rabies virus (0.1% of studies), retrovirus (0.3% of studies), reovirus (7.3% of studies), Semliki Forest virus (0.1% of studies), Sendai virus (0.3% of studies), vaccinia virus (13.2% of studies), and vesicular stomatitis virus (0.9% of studies). A wide range of cancers were treated in the clinics such as melanoma (17.1% of studies), colon cancer (9.7% of studies), lung cancer (7% of studies), head and neck cancer (6.8% of studies), liver cancer (6.5% of studies), ovarian cancer (5.9% of studies), pancreatic cancer (5.9% of studies), breast cancer (5.6% of studies), glioblastoma (5.6% of studies), prostate cancer (5.4% of studies), sarcoma (4.5% of studies), mesothelioma (3.2% of studies), bladder cancer (2% of studies), glioma (1.8% of studies), esophageal cancer (1.6% of studies), renal cancer (1.6% of studies), cervical cancer (1.4% of studies), cholangiocarcinoma (1.4% of studies), rectal cancer (1.4% of studies), stomach cancer (1.4% of studies), thymus cancer (1.4% of studies), thyroid cancer (1.1% of studies), diffuse large B cell lymphoma (0.7% of studies), acute myeloid leukemia (0.7% of studies), adrenocortical cancer (0.5% of studies), and uterine cancer (0.2% of studies). The clinical studies have been successful in recruiting patient irrespective of sex, age, and diversity in tumor types and stages. However, very few studies (<5% of studies) have evaluated the potential of onco-virotherapy on pediatric patients, whereas most (>80%) studies were focused on patients of 35–70 years in age.

Adenoviruses and herpesviruses were the most utilized virus types in clinical studies. Since 2015, the oncolytic herpes virus T-VEC is globally approved for the treatment of advanced melanoma.62,63 However, the genetically modified adenovirus H101 (E1B-55K/E3B deletion), also known as Oncorine, was the very first oncolytic virus to be approved in 2005 in China for the treatment of head and neck cancer.64,65 Moreover, adenoviruses have been extensively tested as gene therapy vectors, vaccine platforms, and synthetic biology tools, so for engineering, adenoviral vectors are more often chosen over other viruses as recently reviewed by Peter and Kühnel.66 Similarly, viral vectors with an acceptable safety profile, such as the vaccinia virus and measles virus, have also been preferred choices for clinical testing.1,67 Overall, this suggests that the development and easier accessibility of genetic engineering kits for vector modification has the potential to support the demand for novel viral therapeutics and their assessment in clinical research.

Strikingly, many viruses were not subjected to any genetic modification during the earlier years of onco-virotherapy development, although this approach has the potential to enhance the immunogenicity of viral vectors by the introduction of immunogenic genes. Nonetheless, onco-virotherapy modification gained popularity since 2000, and a large fraction of our analyzed trials were initiated in the years thereafter. Considering such native (non-modified) viruses, reovirus has been the most commonly used viral vector in onco-virotherapy that has not undergone genetic modifications.68 Similarly, canarypox and fowlpox viruses have been used in their native form to deliver prostate tumor antigens, as they exhibit a weaker tropism to human cells and preferentially infect tumor cells.69 Also, vesicular stomatitis virus is being exploited as therapeutic (ClinicalTrials.gov: NCT01628640 and NCT03120624) due to its sensitivity to interferon-mediated antiviral responses exhibited by normal cells, which allows preferential infection and lysis of tumor cells devoid of active interferon responses.70

Many of the utilized viral vectors were administered in combination with another form of therapy such as chemotherapy,34,40,42,43,57,71, immune checkpoint inhibitors,13,72,73 or radiotherapy.3,4,32,59 Furthermore, most viruses were injected intratumorally and were administered multiple times, which is not surprising, as intratumoral administration of viruses has been shown to be effective. Additionally, multiple injections increase the possibility of inducing stronger antitumor effects and related immune responses.74 However, multiple intratumoral injections also face the limitations of an invasive approach, for example in patients with glioblastoma,75 or in pediatric patients,76,77 thus indicating room for improvement.78 Furthermore, immune responses such as virus neutralization by antiviral antibodies,79 neutralization mediated by complement activation,80,81 and cellular-antiviral responses mediated by natural killer (NK) cells82 and T cells also prove to be a challenge to onco-virotherapy. This has led to an increased requirement of dosage during subsequent rounds of treatment to counterbalance virus elimination in patients.

In addition to improving the safety and efficacy of viral vectors via genetic modifications and combinatorial approaches, efforts have also been made in overcoming the challenges related to manufacturing a clinical-grade stock of these viruses. Factors such as ensuring sterility and proper handling during production, improvement of virus yields, appropriate purification strategies, and formulation for long-term stability and storage have been discussed in detail in existing literature.83,84 Moreover, regulatory aspects ranging from virus design and production up to therapeutic utilization in clinics have remained of immense importance for safe application of onco-virotherapy.85 Taken together, these factors can potentially influence the feasibility of producing the maximum dose required for patient treatment, especially in the case of multiple injections and for virus types that require high dose for effective therapy. Manufacturing challenges can also impact the cost of therapy where the economic evaluation of onco-virotherapy has yet to demonstrate itself as a less expensive alternative to existing therapies.86,87

Non-randomized cohort studies and non-controlled trials have primarily focused on assessing the safety profile of the viral vector, and therefore determinations of dose limiting toxicity and maximum tolerated dose have remained important. Additionally, side effects such as fever, fatigue, flu-like symptoms, nausea, and pain at the site of injection, among others, have also been reported to occur after onco-virotherapy, although rarely in severe form.6

In most controlled trials, onco-virotherapy treatment resulted in better outcomes for individual variables (>70% of controlled trials) or no change (>40% of controlled trials), although some trials reported worse outcomes (Table 1). This indicates that further improvements in onco-virotherapy are still needed. We found that most of the studies did not include the immune response in their outcome measures, which was unexpected and remarkable, as immunogenic effects are characteristic for onco-virotherapy. Instead, most trials focused on general outcome measures such as progression-free survival, overall survival, and tumor size change. Hence, it would be important that in the future onco-virotherapy clinical trials also assess the immune response as an outcome measure. Moreover, most of the trials have chosen clinical criteria of assessment based on the published guidelines such as RECIST.6 However, recent literature88 and our review indicate the need to establish new parameters to evaluate tumor response to virotherapy in terms of immune response, reduction of metastasis, and alteration in tumor metabolism and growth.

Only a limited number of trials compared the efficacy of onco-virotherapy with conventional treatments such as chemotherapy or radiotherapy (Table 1). For example, the FDA approved therapeutic T-VEC, which is administered intratumorally, has only been studied in comparison with intravenous GM-CSF injections, where T-VEC showed significantly better outcomes.63 So far the performance of T-VEC in comparison with chemotherapy and/or radiotherapy has not been investigated. Interestingly, recent trials in which T-VEC was combined with checkpoint immunotherapy resulted in better outcomes as compared to monotherapy of either T-VEC or checkpoint immunotherapy.13 Again, this emphasizes the importance of assessing immune responses after onco-virotherapy.

From the more than 20 different solid tumor types evaluated, skin cutaneous melanoma was most commonly studied. This can likely be ascribed to the fact that this tumor type is accessible for intratumoral injection without the need of surgical interventions. Also, most melanoma cells contain a high mutational burden,89 and this increases the likelihood of tumor-specific antigen release into the tumor microenvironment upon oncolysis, thereby improving the potency of the onco-virotherapy. Additionally, most tumors studied were in an advanced or metastatic state, likely due to the fact that cancer patients with a good prognosis generally benefit from standard care. This is probably a confounding factor during the assessment of onco-virotherapy, as advanced patients are generally less likely to respond to any therapeutic intervention. Therefore, including patients who suffer from early and localized cancer, as well as high-risk or early refractory patients, may be a strategy to further explore the effectiveness of onco-virotherapy, as these patients would be more likely to benefit.

Finally, we aspire that the information gathered here can be used as a starting point to construct an interactive database that provides information to clinicians and researchers who are interested in the therapeutic potential of onco-virotherapy. Moreover, our search strategies can be used to regularly update such a database by collecting and screening trial-related data from ClinicalTrials.gov and articles from PubMed and EMBASE. Furthermore, we encourage clinicians and researchers to continue reviewing literature associated with clinical research by assessing multiple platforms, as it increases the possibilities of finding trial results and articles that are exclusive to a particular platform.

Materials and methods

Protocol and eligibility

We used the preferred reporting items for systematic review and meta-analysis protocol (PRISMA-P) statement as a guide for our analysis. To define our research question, we utilized the PICOS (patient, intervention, comparator, outcome, study type) framework based on the accepted PRISMA guidelines. Accordingly, we focused on cancer patients (P) who receive onco-virotherapy (I) compared with patients who receive other therapies (including placebo, chemotherapy, immunotherapy, radiotherapy) (C), the clinical impact with respect to response rate (O1) or tumor size change (O2) or safety (O3), and such (O4-to-n), and in a clinical setup (S) for therapeutic purposes.

Search strategy and screening of articles

We retrieved clinical trials from the ClinicalTrials.gov registry (https://clinicaltrials.gov) and PubMed (https://PubMed.ncbi.nlm.nih.gov) and EMBASE (https://www.embase.com) databases until August 2020. For each medium, we used a different search strategy, as specified in the Supplemental information. Through the search strategy, we found 3,492 articles from PubMed, 2,614 articles from EMBASE, and 1,632 trials from ClinicalTrials.gov. After the removal of duplicates, at least two authors manually screened the retrieved articles for inclusion, where we excluded articles or trials that did not focus on the application of onco-virotherapy for cancer patients, articles that were reviews, preclinical studies or commentaries, and articles in which the abstract was not reported in English (Figure 1). Any conflicts were resolved through discussion. This allowed us to include 331 articles from PubMed, 316 articles from EMBASE, and 249 trials from ClinicalTrials.gov. Subsequently, we added all articles in our database using browser-based REDCap software (Vanderbilt University, Nashville, TN, USA). All of the data and results are provided in Table S1 and are intended to serve as a resource for future studies.

Preliminary qualitative analysis and screening of controlled clinical studies

To observe the trends in clinical studies exploring the potential of onco-virotherapy for cancer treatment, we did a preliminary analysis of studies including retrieved data from articles and trials (Figures 1, 2, 3, 4, and 5). This preliminary analysis was based on the literature found via PubMed (331 articles), EMBASE (316 articles), and ClinicalTrials.gov (249 trials) as described earlier. Finally, we identified and summarized 59 controlled clinical studies reporting comparative data from respective articles and trials (Table 1). All figures and tables were made using ggplot2, or networkD3 R packages,90 and the graphical abstract was made using BioRender.

Acknowledgments

This work was supported by CNPq (grant award 305700/2017-0 to R.C.), CAPES (finance code 001, to D.K.B.), and by an ATTP-GSMS scholarship (Abel Tasman Talent Program to D.K.B.). The authors would like to thank Dr. Peter G. Braun and Sjoukje van der Werf from the university library at the University of Groningen for support in formulation of the search strategy for the systematic review. Moreover, the authors thank the reviewers for their valuable feedback regarding the manuscript.

Author contributions

All authors made substantial contributions to the manuscript. Conception and design, D.K.B., L.W., and T.D.; supervision and funding acquisition, T.D. and R.C.; collection and assembly of data, D.K.B., L.W., and L.R.C.B.; data analysis and interpretation, D.K.B., L.W., L.R.C.B., T.D., and R.C.; manuscript writing, D.K.B., L.W., L.R.C.B., R.C., and T.D. All authors reviewed the manuscript and approved the final version for submission.

Declaration of interests

The authors declare no competing interests.

Footnotes

Supplemental information can be found online at https://doi.org/10.1016/j.omto.2021.09.008.

Supplemental information

Document S1. Supplemental materials and methods
mmc1.pdf (425.9KB, pdf)
Table S1. Dataset obtained after systematic search and review

Each article or trial is listed in a row, while the respective variable of interest is organized in columns

mmc2.csv (6.6MB, csv)
Document S2. Article plus supplemental information
mmc3.pdf (2.8MB, pdf)

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Associated Data

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

Supplementary Materials

Document S1. Supplemental materials and methods
mmc1.pdf (425.9KB, pdf)
Table S1. Dataset obtained after systematic search and review

Each article or trial is listed in a row, while the respective variable of interest is organized in columns

mmc2.csv (6.6MB, csv)
Document S2. Article plus supplemental information
mmc3.pdf (2.8MB, pdf)

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