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Record W313784884 · doi:10.1038/mt.2009.86

Oncolytic Viruses: Time to Compare, Contrast, and Combine?

2009· article· en· W313784884 on OpenAlexaboutno aff
Hardev Pandha, Alan Melcher, Kevin J. Harrington, Richard G. Vile

Bibliographic record

VenueMolecular Therapy · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsOncolytic virusClinical trialVirotherapyMedicineComputer sciencePsychologyVirusVirologyPathology

Abstract

fetched live from OpenAlex

Creeping cautiously at 15 mph into the teeth of a driving snowstorm along a dark, deserted Canadian highway at 4 am, returning from the 5th International Meeting on Replicating Oncolytic Virus Therapeutics, provided an ideal opportunity for some thoughtful reflection. To avoid contemplating the possibility of our imminent demise—perhaps by plunging off the mountain or being mowed down by a truck—we used the time to reflect on the content of the meeting and to formulate our ideas about the current state of the field. The concept of oncolytic virotherapy has been around for a sufficiently long period of time that there is now increasing pressure for developers of this technology to deliver clinical trials that give rise to at least some suggestion of therapeutic potential. Encouragingly, a variety of such trials are now under way, and some data from these trials were presented at the meeting. Results were presented from trials using vectors derived from several of the usual suspects, including measles, reovirus, vaccinia, herpesvirus, and adenovirus, along with several newcomers, such as Seneca Valley virus and coxsackievirus A21. A real sense of achievability and safety emerged from these presentations, with no significant adverse events described that might otherwise blight the ongoing studies. In addition, there were sufficient anecdotal and incidental reports of individual patients who have done surprisingly well in these early phase I/II trials to sharpen the perception that the advent of phase III randomized trials is now a priority. Encouraging data on the ability to combine virus therapy with established standard-of-care therapies (such as radiation and chemotherapy) suggested that this is the most likely context in which we will see the first virotherapy adopted as an addition to routine clinical treatment. Although a positive result from a phase III study would provide a massive boost to the field, we must also be aware that such studies are fraught with potential dangers. A single negative result might have a disproportionately large adverse effect on market confidence, and it is therefore imperative that randomized studies involve rational designs with realistic end points. The engagement of experienced clinical trialists with basic scientists will be an important part of this process. Other, more basic topics were addressed, including how to deliver viruses through the circulation without their disappearing into a blur of immune-mediated neutralization and/or misappropriation by host cells. One solution discussed was coating the virus in synthetic polymers to confer stealthy passage through the circulation; another was associating the virus with immune cells that would then chaperone the virus to the sites of tumor growth. A recurring theme was the idea that many oncolytic viruses might subsequently access the tumor from the circulation via direct infection of tumor-associated vasculature. This mechanism of delivery might provide the advantage of both feeding the underlying tumor cells with locally amplified sources of virus and ensuring a tumor-localized vascular collapse. Even though it should be possible to deliver a virus or viral vector to a tumor, it is almost impossible to prevent it from turning up in off-target tissues as well. Therefore, an emerging theme at this year's meeting was addressed in several talks that described the incorporation of target elements for tissue-specific microRNAs (miRNAs) into viral genomes to ensure further tumor selectivity of virus replication. The rationale is to speed degradation of the virus in nontumor tissues expressing a specific miRNA that would recognize and attack a virus displaying an miRNA target sequence. In contrast, the lack of expression of these miRNAs in the tumor would allow the virus to replicate without further hindrance. Finally, much attention was devoted to just how the immune system interacts with both cell-free and tumor-associated oncolytic viruses. The importance of both the adaptive and innate immune response to viral infection, replication, and therapy was frequently addressed. Moreover, there were suggestions that a potent antiviral immune response may even be contributing to the therapy that is observed in some models of tumor regression. Other investigators showed encouraging data suggesting that the potent inflammatory reactivity associated with tumor-cell killing by oncolytics can lead to the focusing of adaptive T-cell responses against tumor-associated antigens back onto the tumor, with significant therapeutic benefits over and above those induced by direct viral tumor-cell killing. For us, clawing our way through the March snow in the Canadian Rockies, one predominant theme throughout this excellent meeting was the increasing number of oncolytic viruses that are being tested. It seems remarkable how many species harbor viruses that might eventually turn out to be the cancer-specific, tumor-cell-killing, immune-activating answer to oncologists’ prayers! As with all fields of drug discovery, this expansion of the product base is to be encouraged. New viruses, from multiple sources, will undoubtedly yield new opportunities for selectively attacking cancer cells and will form the candidates for the trials of years to come. At some point, however, simple expansion of the repertoire of oncolytic vectors surely must be accompanied by some detailed comparison. A noticeable omission among the presentations was speculation about how these emerging candidates might compare with the well-established viruses that are discussed year in and year out. Such comparative studies are, of course, fraught with difficulty. Scientifically, it is very difficult to compare two different viruses. What titers should be used—the same number of plaque-forming units, the maximum achievable titer, or the maximum tolerated dose? What tumor models should be used? Not all viruses replicate in the same rodent or human tumor cell lines. Indeed, what are the end points that should be compared—intratumor viral titers, tumor regression, immune reactivity, or virus dissemination and/or toxicity? Moving beyond the purely scientific issues, there are many reasons for investigators to be hesitant to launch comparative studies between viruses. Often a laboratory has years of experience with a single virus type and may not have the facilities, knowledge, or abilities to take on new viral systems. Apart from even these considerations, few of us really want to engage in the childish pursuit of asking who has the biggest or best, afraid as we are of being on the losing end of such comparisons. Finally, perhaps a dominant disincentive to embark on comparisons between both preexisting and emerging oncolytic viruses is the patent. Many viruses are now associated with companies that have invested huge amounts of money in their development and clinical future. Even academic groups are often tied to their viruses through institutional and/or external commercial interests. The chances of persuading a company to allow direct comparison of its product with that of another seem remote in the extreme. Nonetheless, if we are to attend future meetings at which several new viruses are described each year, and a wide variety of existing viruses are also being developed, at some point somebody, somewhere, will stand up and ask that terrible question: “How does this exciting new virus compare with the exciting old viruses already presented by our esteemed colleagues?” Maybe the time has come to put aside the cliché involving apples and oranges that is often used in this context, and for us at least to investigate whether, and how, meaningful comparisons might be coordinated. Pooling of viruses, models, readouts, and even resources would be needed, along with open collaboration and the courage to stand by the results! A final theme, which was addressed in at least one talk, is the question regarding how these oncolytic viruses would fare when combined. There seems to be enormous potential in combining the diverse effector mechanisms of different virus types to produce multiple synergistic antitumor effects. In addition to many of the same problems inherent in the apples-and-oranges argument for comparison, the cliché of creating a new viral monster applies to the suggestion for combination (or recombination!). Nonetheless, the clear indication from continuing clinical studies that combination therapy of virotherapy and chemotherapy/radiation therapy is the way forward suggests that combination virotherapies should be explored equally well. What was clear from this year's meeting in Banff was that even the same virus can behave in very different ways and can operate through very different mechanisms, in different tumor models. With new agents being tested in a burgeoning field, along with the very real promise of randomized phase III trials, surely there is real benefit to be gained in understanding how different oncolytics perform under standardized conditions—if only to understand how they can be best developed for the patient. It is clear that the mantra of “compare, contrast, and combine” will be a very difficult one to carry forward for many reasons—but, having survived a snowstorm in 4 am darkness on TransCanada Highway 1, we now see everything as possible.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.301
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations10
Published2009
Admission routes1
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