Preprint
Review

This version is not peer-reviewed.

Targeting Clonal Mutations with Synthetic Microbes

Submitted:

21 August 2024

Posted:

23 August 2024

Read the latest preprint version here

Abstract
Recently concluded, large-scale cancer genomics studies involving multiregion sequencing of primary tumors and paired metastases appear to indicate that many or most cancer patients have one or more “clonal" mutations in their tumors. Clonal mutations are those that are present in all of a patient’s cancer cells. Clonally mutated proteins can potentially be targeted by inhibitors or E3 ligase small molecule glues, but developing new small molecule drugs for each patient is not feasible currently. Achilles Therapeutics is currently the only company specifically targeting clonal mutations on a patient-by-patient basis. However, they are doing so with tumor-derived T cells. To address the potential limitations of immunotherapy, I have devised another approach for exploiting clonal mutations, which I call “Oncolytic Vector Efficient Replication Contingent on Omnipresent Mutation Engagement” (OVERCOME). The ideal version of OVERCOME would likely employ a bioengineered facultative intracellular bacterium. The bacterium would initially be attenuated, but (transiently) reverse its attenuation upon clonal mutation detection.
Keywords: 
;  ;  ;  ;  ;  

Introduction

Cancer has plagued multi-cellular organisms since their inception. However, we have only recently begun to develop effective targeted therapies. Most of said therapies have been for blood cancers. Gleevec, the BCR-ABL tyrosine kinase inhibitor, is a prime example of this; it was approved in 2001 for the treatment of chronic myelogenous leukemia [1]. Additionally, immunotherapies such as CAR T-cells have been developed that target T and B cell malignancies [2].
Immunotherapies, including CAR T-cell therapy, have failed to cure most types of solid tumors, despite many years of work by many research groups [3,4]. This is due in part to an immunosuppressive microenvironment in many solid tumors.
In certain instances, immunotherapies such as anti-PD1 antibodies can help treat melanoma. T-VEC, an FDA-approved oncolytic herpesvirus, is also sometimes effective against melanoma [5]. It is somewhat unclear why melanomas respond so well to immunotherapy and T-VEC as opposed to many other types of cancer.
T-VEC may exert its anti-tumor effects mainly by rendering melanoma lesions immunologically “hot”, rather than direct oncolysis [6]. It may also spread more easily through such lesions due to tight endothelial cell-to-cell junctions [7]. Thus, melanoma may simply be particularly amenable to immunotherapy. Perhaps this is because it is often caused at least in part by UV damage-mediated DNA mutations, which can be potently immunogenic [8].
Three other oncolytic viruses have been approved for clinical usage against solid tumors in other areas of the world: Rigvir, Oncorine, and Delytact [9]. Rigvir is an oncolytic enterovirus approved in Latvia for melanoma, Oncorine is a modified adenovirus that is used to treat head and neck cancer, and Delytact is a herpesvirus used to treat malignant gliomas. Rigvir may not be as efficacious as T-VEC [10]. Like T-VEC, all three of these vectors appear to exert their oncolytic effects primarily by potentiating the anti-tumor immune response [11,12,13].
Finally, there is one FDA-approved bacterial vector that is used to treat non-muscle invasive bladder cancer, Bacillus Calmette–Guérin (BCG) [14]. It is a live attenuated strain of Mycobacterium bovis. Although it is one of the oldest tumor therapies, its mechanism of action still has not been fully elucidated. As with the aforementioned oncolytic viruses, however, BCG may mainly stimulate an immune response against bladder cancer cells rather than lyse them directly [15].
Regardless, in most instances, the aforementioned oncolytic therapies for solid tumors are not curative. That is largely because they do not target the tumors with sufficient specificity over normal tissue, and so must be attenuated.
Unattenuated oncolytic vectors can be targeted to cell surface markers like immunotherapies [16]. Unfortunately, the issue with targeting a limited number of cell surface markers is that it can lead to escape variants [17].

Clonal Mutations

Clonal mutations are defined as mutations that are present in all of a patient’s cancer cells. Recently published results from large-scale cancer genomics studies that involve multiregion sequencing of primary tumors and paired metastases, like TRACERx [18], appear to indicate that many or most patients have at least one clonal mutation in their cancers [19,20,21,22,23,24].
Clonal mutations would be ideal targets for personalized therapy. Some tumors are in anatomical locales that are difficult or dangerous to biopsy, however. A non-invasive option for identifying a patient’s mutational spectrum, which is becoming increasingly feasible in terms of clinical application, would be to analyze circulating tumor cells [25] or circulating cell-free tumor DNA in the blood or cerebrospinal fluid [26,27,28,29,3031]. Although it is possible to determine clonal mutations, targeting these mutations is not very facile at present.
Clonally mutated proteins can be targeted by inhibitors or E3 ligase small molecule glues [32,33]. However, inhibiting or degrading many proteins in a given cancer cell would not necessarily be cytotoxic. Without a direct link to cytotoxicity, escape variants could evolve more readily. Also, even if a small molecule can be identified rapidly enough for one of a patient’s clonally mutated proteins through screening and/or rational design, a favorable biodistribution and lack of side effects cannot be ensured. Depending on the screening method, cell membrane permeability may also not be ensured - and could be an issue that is not easily surmounted.
Antibodies against clonally mutated proteins could be generated rapidly, i.e., in ~two weeks, using OrthoRep [34]. However, antibodies are only effective if the patient has a clonal mutation in a cell surface protein and all of the patient’s cancer cells express the mutated protein. Also, they have low tumor penetrance, and the tumor microenvironment is often immunosuppressive.
Charles Swanton, Chief Investigator of the TRACERx study, co-founded a company called Achilles Therapeutics in 2016; it is currently the only company targeting clonal mutations on a patient-by-patient basis. However, they are leveraging an immunotherapy tactic to do so, specifically tumor-derived T cells [35]. From a mechanistic perspective, immunotherapy may not be the best way to exploit clonal mutations. Firstly, m any mutations affect intracellular antigens. While MHC class I complexes can display intracellular peptides derived from mutated proteins, 40-90% of human cancers downregulate said complexes [36]. Secondly, even if a mutant protein is on the cell’s surface, some of the patient’s cancer cells may evolve to downregulate the production of that mutant protein. The latter point applies to the display of peptides derived from mutant intracellular proteins via MHC class I complexes as well.
Recently, I devised an approach for exploiting clonal mutations in solid tumors at least that can theoretically circumvent these issues, which I call “Oncolytic Vector Efficient Replication Contingent on Omnipresent Mutation Engagement” (OVERCOME) [37,38].

Overcome

The general idea of OVERCOME is to use an oncolytic virus or intracellular bacterium with the broadest possible tropism that is either programmed not to replicate or attenuated until it detects one or more clonal mutations via molecular “switches” [39,40,41,42,43,44],xxxvii,xxxviii. By having such broad tropism, they will be able to enter cancer cells, even when certain cell surface receptors are absent or down regulated. They will also enter noncancerous cells, but these cells will not have clonal mutations, so the microbe will not replicate inside of them, and will eventually be eliminated by the cell or can be induced to “self-destruct” after treatment. The switches in this context are RNA or protein modules that can sense and respond to target molecules. In the basal state, they are inactive. Upon detection of a target molecule, they activate. Moreover, many hyper-virulence modules could be triggered by clonal mutation detection [45,46,47,48]. Finally, if necessary, a toxic protein with a bystander effect can also be induced via small molecule after sufficient colonization/destruction of the tumors.
Somewhat similar strategies have been proposed before with oncolytic viruses, but replication was not made dependent on mutation detection. Instead, viral replication has been made dependent on the high level activity of certain promoters or expression of certain miRNAs [49,50,51]. One example is a telomerase promoter-specific oncolytic adenovirusxlix. Unfortunately, adult stem cells also express telomerase, and 10-15% of cancers utilize alternative lengthening of telomeres [52]. Moreover, high promoter activity and miRNA expression may not be clonal for a given patient. Also, unlike direct detection of a mutated RNA or protein molecule, cancer cell escape variants may be more likely; subclonal mutations in some of the patient’s cancer cells could interfere with high level promoter activity or expression of various miRNAs.
Crucially, with such a vector, clonally mutated genes can be forcibly upregulated via expressed or secreted transcriptional activators to essentially ensure a detection signal. As direct RNA export from bacteria is currently not very well-understood, a bacterial vector could secrete a multitude of transcriptional activator like effector (TALE)- or zinc finger (ZF)-activators instead of CRISPR-based activators [53,54]. However, these transcriptional activators would also be expressed or secreted in infected noncancerous cells, which might be problematic even just within the time it takes for treatment. Thus, a negative feedback circuit may be of use; in addition to switches that target the mutated part of the upregulated transcript or protein, it might be ideal to also express switches that detect it at one or more non-mutated sites. When the latter switches activate, further secretion of the TALE- or ZF-activators would be halted.
Larger mutations in a promoter region could be targeted by multiplexed dCas9 or multiple TALE DNA-binding domains fused to transcriptional activators. In other words, “tiling” could be effected to enhance activation. Similarly, the target transcript could be downregulated in noncancerous cells by virtue of CRISPRi or TALE DNA-binding domains fused to transcriptional inhibitors. The resulting discrepancy in expression levels could then be used as a means of promoting replication of an oncolytic vector solely in a patient’s cancer cells. If the discrepancy is not close to a 0-1 Boolean relationship, a synthetic gene circuit could be utilized to set a threshold level [55]. However, smaller mutations in promoters, e.g., point mutations, may be less easily exploited in such a manner.
Instead, smaller mutations in promoters and other c lonally mutated intergenic regions could theoretically be targeted directly by DNA-binding switches [56,57]. One example of such a switch would be a dual-module ZF protein-based switch wherein both modules binding to next to each other on a DNA target sequence leads to the reconstitution of an orthogonal proteaselvi, [58],lvii. If mutations in the DNA are directly targeted, an enzymatic cascade may be required for sufficiently rapid amplification of the mutation “signal” [59]. Such a cascade might increase vector off-target activity, however. In the near future, induced transcription of any intergenic region might be possible, which might lead to less off-target activity than an enzymatic cascade-based mechanism. A third option might be to insert a larger transcription factor landing pad or replication-promoting transgene with its own promoter at the mutation site using template-jumping prime editing, for example, which does not require double-strand breaks or a DNA donor template [60].
In 2007, Alexander Varshavsky proposed a method for exploiting homozygous DNA deletions in cancer cells called “deletion-specific targeting” (DST)lvi. OVERCOME can be reversed to utilize DST for clonal homozygous deletions, as well as clonal heterozygous deletions, if replication is delayed initially using a temporal promoter cascade.
Ideally, the vector would target all of a patient’s clonal mutations simultaneously, transcriptionally upregulate any clonally mutated genes, and conditionally become hyper-virulent in many ways. Such sophisticated bioengineering may require a lot of extra packaging space, however. Given the essentially unlimited packaging space of bacteria, an intracellular bacterium may be the best oncolytic vector in this context.
Various attenuated intracellular bacterial species like Salmonella Typhimurium and Listeria monocytogenes can be intravenously injected in humans with minimal side effects [61,62,63]. Notably, bacteria naturally colonize tumors when injected intravenously [64]. As stated in my previous works, immunosuppressive drugs like dexamethasone could be administered during treatment to allow for unhindered infection of a patient’s tumor or tumors. Moreover, some bacteria at least are able to cross the blood-brain barrier after intravenous injection, which is a very helpful characteristic for treating central nervous system tumors like glioblastoma [65,66].
The two intracellular bacterial species that are best studied in the context of cancer are S. Typhimurium [67] and L. monocytogenes [68]. I previously suggested the possible use of Vibrio natriegens as a vector because of its rapid replication rate [69] and the fact that only two genes are required for extracellular bacterial entry into mammalian cells [70], but it does not seem to survive in the cytoplasm of human cells [71]. A prophage-free strain of V. natriegens may be more applicable here [72]. An important benefit of using a facultative intracellular bacterium like S. Typhimurium or L. monocytogenes instead of an obligate intracellular bacterium is that it may not need to invade very many cancer cells; activated vectors could transmit the detection signal to nearby intracellular bacteria that have not detected clonal mutations yet or in general - and extracellular bacteria - via AI-1, a membrane-permeable quorum sensing molecule [73].
Wide tropism via “zippering” could be imbued via the expression of multiple adhesins that bind ubiquitously expressed cell surface proteins - and perhaps an assortment of invasins [74,75,76,77]. The Salmonella Pathogenicity Island 1 type 3 secretion system would also enable entry into a wide variety of cell types through a “triggering” mechanism [78,79]. Having broad tropism would help negate the possibility of escape variants. For intravenous injections, it may be necessary to delay the expression of cell entry modules - to allow for initial extravasation in various anatomical locales. This could possibly be achieved with a Deadman switch combined with a small molecule in the solution containing the vector [80].
In order to avoid xenophagy prior to the detection of one or more clonal mutations, the bacteria could even replicate up to a tolerable copy number inside host cells, restrained via quorum sensing - perhaps with AI-2 [81]. An S. Typhimurium sifA mutant could be used here, which lyses its vesicle. HlyE or listeriolysin O secretion could also help to lyse the vacuole [82].
An example of a molecular switch that could target a clonally mutated transcript would involve Pumby modules, which allow for modular recognition of RNA in the same way that TALEs can readily be generated to recognize custom DNA sequences. Dual RNA-binding switches would be used to dock next to one another specifically on the mutated transcript, resulting in split intein splicing and reconstitution of an orthogonal proteasexxxix.
Alternatively, a new CRISPR-based technique that could be used is “Craspase”, an RNA-guided protease. The RNA cleavage capacity of Craspase should be abolished in this context, using a “stay-on” variantxliv. Crucially, this system could detect clonal point mutations, as less than 4 mismatches in the cognate target RNA 3’ end precludes Craspase proteolytic activity [83]. If necessary, synthetic mismatches could potentially be used to imbue point mutation specificity, as with “SHERLOCK” [84].
However, Craspase would require the export or release of RNA into the host cell cytoplasm. There are two options for this. The most straightforward one is as follows. Intracellular copies of the bacterial vector could replicate asymmetrically initially or after reaching quorum sensing levels [85,86], wherein one or more “stem cell” progeny cells survive and one or more “differentiated” progeny cells lyse to release RNA elements [87],lxxxii.
A second possibility for a Gram-positive vector, e.g., L. monocytogenes, is that Eno or Zea could perhaps be programmed to bind and thus enable secretion of custom RNA molecules like the Craspase gRNA [88,89].
The facultative intracellular bacterial vector could respond to a clonal mutation through activation of Craspase to cleave a pro-peptide; the resulting peptide could then activate a two-component regulatory system like the ComD/ComE system of Streptococcus mutans UA159 [90,91,92] or a synthetic receptor [93,94].
For DST-modified, “reverse” OVERCOME, replication of an intracellular bacterial vector at the end of its temporal promoter cascade would be driven by a pulse of gene expression [95]. To prevent the cascade from initiating outside of host cells, the actA promoter could be used to drive the expression of the early gene [96]. It would need to reinitiate its temporal promoter cascade at the end of each “session” of replication.
Additionally, for neuron-based cancer, Toxoplasma gondii could eventually be helpful [97].
Finally, it is theoretically possible that some number of patients may have no clonal mutations in their cancers. In this unlikely scenario, a set of subclonal mutations could be targeted that together are present in all of their cancer cells.

Conclusions

It is clear that effective therapies for solid tumors are urgently needed. While immunotherapy has had much success in the realm of blood cancers, it is unclear whether it will end up being similarly efficacious for solid tumors. From a mechanistic standpoint, targeting cell surface antigens certainly seems like a less promising strategy than targeting mutated nucleic acids or proteins in the interior of the cell. Again, many cancerous mutations, if not most, affect proteins in the interior of the cell. Some affect non-coding DNA as well. The signal can also be amplified by a vector that gains access to the interior of the cell. A vector with a large amount of packaging space might be necessary to enact OVERCOME in a curative manner. An intracellular bacterium might thus be the best vector for OVERCOME. A facultative intracellular bacterium could transmit the clonal mutation detection signal to other intracellular - as well as extracellular - bacteria in a patient’s tumor or tumors via a membrane-permeable small molecule, e.g., AI-1. Thus, the development of a facultative intracellular bacterial vector that can surmount these mechanistic challenges could be crucial to curing solid tumors.

Author Contributions

M.R. wrote the article.

Funding

N/A.

Acknowledgments

Graphical abstract created with BioRender.com. *If this article is accepted for publication, I will need to sign up for a Premium subscription to obtain a publication license.

Conflicts of interest

The author declares no conflicts of interest.

References

  1. Hochhaus A, Larson RA, Guilhot F, Radich JP, Branford S, Hughes TP, et al. Long-Term Outcomes of Imatinib Treatment for Chronic Myeloid Leukemia. New England Journal of Medicine 2017;376:917–27. [CrossRef]
  2. De Marco RC, Monzo HJ, Ojala PM. CAR T Cell Therapy: A Versatile Living Drug. Int J Mol Sci 2023;24:6300. [CrossRef]
  3. Albelda SM. CAR T cell therapy for patients with solid tumours: key lessons to learn and unlearn. Nat Rev Clin Oncol 2024;21(1):47–66; [CrossRef]
  4. Abizanda-Campo S, Virumbrales-Muñoz M, Humayun M, et al. Microphysiological systems for solid tumor immunotherapy: opportunities and challenges. Microsyst Nanoeng 2023;9(1):1–30; [CrossRef]
  5. Sun L, Funchain P, Song JM, Rayman P, Tannenbaum C, Ko J, et al. Talimogene Laherparepvec combined with anti-PD-1 based immunotherapy for unresectable stage III-IV melanoma: a case series. J Immunother Cancer 2018;6:36. [CrossRef]
  6. Ferrucci PF, Pala L, Conforti F, Cocorocchio E. Talimogene Laherparepvec (T-VEC): An Intralesional Cancer Immunotherapy for Advanced Melanoma. Cancers (Basel) 2021;13:1383. [CrossRef]
  7. Xu B, Ma R, Russell L, Yoo JY, Han J, Cui H, et al. An oncolytic herpesvirus expressing E-cadherin improves survival in mouse models of glioblastoma. Nat Biotechnol 2019;37:45–54. [CrossRef]
  8. Pham TV, Boichard A, Goodman A, Riviere P, Yeerna H, Tamayo P, et al. Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy. Mol Oncol 2020;14:1680–94. [CrossRef]
  9. Su Y, Su C, Qin L. Current landscape and perspective of oncolytic viruses and their combination therapies. Transl Oncol 2022;25:101530. [CrossRef]
  10. Hietanen E, Koivu MKA, Susi P. Cytolytic Properties and Genome Analysis of Rigvir® Oncolytic Virotherapy Virus and Other Echovirus 7 Isolates. Viruses 2022;14(3):525; [CrossRef]
  11. Alberts P, Tilgase A, Rasa A, Bandere K, Venskus D. The advent of oncolytic virotherapy in oncology: The Rigvir® story. Eur J Pharmacol 2018;837:117–26. [CrossRef]
  12. Zhang Q, Li Y, Zhao Q, Tian M, Chen L, Miao L, et al. Recombinant human adenovirus type 5 (Oncorine) reverses resistance to immune checkpoint inhibitor in a patient with recurrent non-small cell lung cancer: A case report. Thorac Cancer 2021;12:1617–9. [CrossRef]
  13. Sugawara K, Iwai M, Ito H, Tanaka M, Seto Y, Todo T. Oncolytic herpes virus G47Δ works synergistically with CTLA-4 inhibition via dynamic intratumoral immune modulation. Mol Ther Oncolytics 2021;22:129–42. [CrossRef]
  14. Katims AB, Tallman J, Vertosick E, Porwal S, Dalbagni G, Cha EK, et al. Response to 2 Induction Courses of Bacillus Calmette-Guèrin Therapy Among Patients With High-Risk Non-Muscle-Invasive Bladder Cancer: 5-year Follow-Up of a Phase 2 Clinical Trial. JAMA Oncol 2024:e236804. [CrossRef]
  15. Antonelli AC, Binyamin A, Hohl TM, Glickman MS, Redelman-Sidi G. Bacterial immunotherapy for cancer induces CD4-dependent tumor-specific immunity through tumor-intrinsic interferon-γ signaling. Proc Natl Acad Sci U S A 2020;117:18627–37. [CrossRef]
  16. Suzuki T, Uchida H, Shibata T, et al. Potent anti-tumor effects of receptor-retargeted syncytial oncolytic herpes simplex virus. Molecular Therapy - Oncolytics 2021;22:265–276; [CrossRef]
  17. Sterner RC, Sterner RM. CAR-T cell therapy: current limitations and potential strategies. Blood Cancer J 2021;11(4):1–11; [CrossRef]
  18. Hayes TK, Meyerson M. Molecular portraits of lung cancer evolution. Nature 2023;616:435–6. [CrossRef]
  19. Yachida S, Jones S, Bozic I, Antal T, Leary R, Fu B, et al. Distant metastasis occurs late during the genetic evolution of pancreatic cancer. Nature 2010;467:1114–7. [CrossRef]
  20. Gerlinger M, Rowan AJ, Horswell S, Larkin J, Endesfelder D, Gronroos E, et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. New England Journal of Medicine 2012;366:883–92.
  21. Schrijver WA, Selenica P, Lee JY, Ng CKY, Burke KA, Piscuoglio S, et al. Mutation profiling of key cancer genes in primary breast cancers and their distant metastases. Cancer Res 2018;78:3112–21. [CrossRef]
  22. Mitchell TJ, Turajlic S, Rowan A, Nicol D, Farmery JHR, O’Brien T, et al. Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal. Cell 2018;173:611-623.e17. [CrossRef]
  23. Spain L, Coulton A, Lobon I, Rowan A, Schnidrig D, Shepherd STC, et al. Late-Stage Metastatic Melanoma Emerges through a Diversity of Evolutionary Pathways. Cancer Discov 2023;13:1364–85. [CrossRef]
  24. Frankell AM, Dietzen M, Al Bakir M, Lim EL, Karasaki T, Ward S, et al. The evolution of lung cancer and impact of subclonal selection in TRACERx. Nature 2023;616:525–33. [CrossRef]
  25. Thiele J-A, Bethel K, Králíčková M, Kuhn P. Circulating Tumor Cells: Fluid Surrogates of Solid Tumors. Annu Rev Pathol 2017;12:419–47. [CrossRef]
  26. Murtaza M, Dawson S-J, Pogrebniak K, Rueda OM, Provenzano E, Grant J, et al. Multifocal clonal evolution characterized using circulating tumour DNA in a case of metastatic breast cancer. Nat Commun 2015;6:8760. [CrossRef]
  27. Pereira B, Chen CT, Goyal L, Walmsley C, Pinto CJ, Baiev I, et al. Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer. Nat Commun 2021;12:3199. [CrossRef]
  28. Li S, Hu R, Small C, Kang T-Y, Liu C-C, Zhou XJ, et al. cfSNV: a software tool for the sensitive detection of somatic mutations from cell-free DNA. Nat Protoc 2023;18:1563–83. [CrossRef]
  29. Abbosh C, Frankell AM, Harrison T, Kisistok J, Garnett A, Johnson L, et al. Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA. Nature 2023;616:553–62. [CrossRef]
  30. Martin-Alonso C, Tabrizi S, Xiong K, Blewett T, Sridhar S, Crnjac A, et al. Priming agents transiently reduce the clearance of cell-free DNA to improve liquid biopsies. Science 2024;383:eadf2341. [CrossRef]
  31. Escudero L, Martínez-Ricarte F, Seoane J. ctDNA-Based Liquid Biopsy of Cerebrospinal Fluid in Brain Cancer. Cancers (Basel) 2021;13:1989. [CrossRef]
  32. Simonetta KR, Taygerly J, Boyle K, et al. Prospective discovery of small molecule enhancers of an E3 ligase-substrate interaction. Nat Commun 2019;10(1):1402; [CrossRef]
  33. Kohsaka S, Petronczki M, Solca F, et al. Tumor Clonality and Resistance Mechanisms in EGFR Mutation-Positive Non-Small-Cell Lung Cancer: Implications for Therapeutic Sequencing. Future Oncology 2018;15(6):637–652; [CrossRef]
  34. Paulk AM, Williams RL, Liu CC. Rapidly Inducible Yeast Surface Display for Antibody Evolution with OrthoRep. ACS Synth Biol 2024; [CrossRef]
  35. Robertson J, Salm M, Dangl M. Adoptive cell therapy with tumour-infiltrating lymphocytes: the emerging importance of clonal neoantigen targets for next-generation products in non-small cell lung cancer. Immunooncol Technol 2019;3:1–7. [CrossRef]
  36. Bubeník J. Tumour MHC class I downregulation and immunotherapy (Review). Oncol Rep 2003;10:2005–8.
  37. Renteln M. Conditional replication of oncolytic viruses based on detection of oncogenic mRNA. Gene Ther 2018;25(1):1–3; [CrossRef]
  38. Renteln MA. Promoting Oncolytic Vector Replication with Switches that Detect Ubiquitous Mutations. CCTR 2024;20:40–52. [CrossRef]
  39. Adamala KP, Martin-Alarcon DA, Boyden ES. Programmable RNA-binding protein composed of repeats of a single modular unit. Proceedings of the National Academy of Sciences 2016;201519368; [CrossRef]
  40. Kim SJ, Kim JH, Yang B, et al. Specific and Efficient Regression of Cancers Harboring KRAS Mutation by Targeted RNA Replacement. Molecular Therapy 2017;25(2):356–367; [CrossRef]
  41. Azhar Mohd, Phutela R, Kumar M, et al. Rapid and accurate nucleobase detection using FnCas9 and its application in COVID-19 diagnosis. Biosensors and Bioelectronics 2021;183:113207; [CrossRef]
  42. Langan RA, Boyken SE, Ng AH, et al. De novo design of bioactive protein switches. Nature 2019;572(7768):205–210; [CrossRef]
  43. Kaseniit KE, Katz N, Kolber NS, et al. Modular, programmable RNA sensing using ADAR editing in living cells. Nat Biotechnol 2023;41(4):482–487; [CrossRef]
  44. Hu C, van Beljouw SPB, Nam KH, et al. Craspase is a CRISPR RNA-guided, RNA-activated protease. Science 2022;377(6612):1278–1285; [CrossRef]
  45. McKee TD, Grandi P, Mok W, et al. Degradation of Fibrillar Collagen in a Human Melanoma Xenograft Improves the Efficacy of an Oncolytic Herpes Simplex Virus Vector. Cancer Research 2006;66(5):2509–2513; [CrossRef]
  46. Rauschhuber C, Mueck-Haeusl M, Zhang W, et al. RNAi suppressor P19 can be broadly exploited for enhanced adenovirus replication and microRNA knockdown experiments. Sci Rep 2013;3:1363; [CrossRef]
  47. Toesca IJ, French CT, Miller JF. The Type VI Secretion System Spike Protein VgrG5 Mediates Membrane Fusion during Intercellular Spread by Pseudomallei Group Burkholderia Species. Infection and Immunity 2014;82(4):1436–1444; [CrossRef]
  48. Sette P, Amankulor N, Li A, et al. GBM-Targeted oHSV Armed with Matrix Metalloproteinase 9 Enhances Anti-tumor Activity and Animal Survival. Molecular Therapy - Oncolytics 2019;15:214–222; [CrossRef]
  49. Kawashima T, Kagawa S, Kobayashi N, et al. Telomerase-specific replication-selective virotherapy for human cancer. Clin Cancer Res 2004;10(1 Pt 1):285–292; [CrossRef]
  50. Huang H, Liu Y, Liao W, Cao Y, Liu Q, Guo Y, et al. Oncolytic adenovirus programmed by synthetic gene circuit for cancer immunotherapy. Nat Commun 2019;10:4801. [CrossRef]
  51. Tian Y, Xie D, Yang L. Engineering strategies to enhance oncolytic viruses in cancer immunotherapy. Sig Transduct Target Ther 2022;7(1):1–21; [CrossRef]
  52. Sommer A, Royle NJ. ALT: A Multi-Faceted Phenomenon. Genes (Basel) 2020;11(2):133; [CrossRef]
  53. Zhang S, Chen H, Wang J. Generate TALE/TALEN as Easily and Rapidly as Generating CRISPR. Mol Ther Methods Clin Dev 2019;13:310–320; [CrossRef]
  54. Ichikawa DM, Abdin O, Alerasool N, et al. A universal deep-learning model for zinc finger design enables transcription factor reprogramming. Nat Biotechnol 2023;41(8):1117–1129; [CrossRef]
  55. Rubens JR, Selvaggio G, Lu TK. Synthetic mixed-signal computation in living cells. Nat Commun 2016;7(1):11658; [CrossRef]
  56. 56. Ivana Protic.
  57. Slomovic S, Collins JJ. DNA sense-and-respond protein modules for mammalian cells. Nature Methods 2015;12(11):1085–1090; [CrossRef]
  58. Gammage PA, Rorbach J, Vincent AI, et al. Mitochondrially targeted ZFNs for selective degradation of pathogenic mitochondrial genomes bearing large-scale deletions or point mutations. EMBO Molecular Medicine 2014;6(4):458–466; [CrossRef]
  59. Fink T, Lonzarić J, Praznik A, Plaper T, Merljak E, Leben K, et al. Design of fast proteolysis-based signaling and logic circuits in mammalian cells. Nat Chem Biol 2019;15:115–22. [CrossRef]
  60. Zheng C, Liu B, Dong X, et al. Template-jumping prime editing enables large insertion and exon rewriting in vivo. Nat Commun 2023;14(1):3369; [CrossRef]
  61. Toso JF, Gill VJ, Hwu P, Marincola FM, Restifo NP, Schwartzentruber DJ, et al. Phase I Study of the Intravenous Administration of Attenuated Salmonella typhimurium to Patients With Metastatic Melanoma. J Clin Oncol 2002;20:142–52.
  62. Heimann DM, Rosenberg SA. Continuous Intravenous Administration of Live Genetically Modified Salmonella Typhimurium in Patients With Metastatic Melanoma. J Immunother 2003;26:179–80.
  63. Le DT, Picozzi VJ, Ko AH, Wainberg ZA, Kindler H, Wang-Gillam A, et al. Results from a Phase IIb, Randomized, Multicenter Study of GVAX Pancreas and CRS-207 Compared with Chemotherapy in Adults with Previously Treated Metastatic Pancreatic Adenocarcinoma (ECLIPSE Study). Clin Cancer Res 2019;25:5493–502. [CrossRef]
  64. Duong MT-Q, Qin Y, You S-H, Min J-J. Bacteria-cancer interactions: bacteria-based cancer therapy. Exp Mol Med 2019;51:1–15. [CrossRef]
  65. Sun R, Liu M, Lu J, Chu B, Yang Y, Song B, et al. Bacteria loaded with glucose polymer and photosensitive ICG silicon-nanoparticles for glioblastoma photothermal immunotherapy. Nat Commun 2022;13:5127. [CrossRef]
  66. Mi Z, Yao Q, Qi Y, Zheng J, Liu J, Liu Z, et al. Salmonella-mediated blood‒brain barrier penetration, tumor homing and tumor microenvironment regulation for enhanced chemo/bacterial glioma therapy. Acta Pharmaceutica Sinica B 2023;13:819–33. [CrossRef]
  67. Raman V, Van Dessel N, Hall CL, Wetherby VE, Whitney SA, Kolewe EL, et al. Intracellular delivery of protein drugs with an autonomously lysing bacterial system reduces tumor growth and metastases. Nat Commun 2021;12:6116. [CrossRef]
  68. Ding Y-D, Shu L-Z, He R-S, Chen K-Y, Deng Y-J, Zhou Z-B, et al. Listeria monocytogenes: a promising vector for tumor immunotherapy. Front Immunol 2023;14:1278011. [CrossRef]
  69. Xu J, Yang S, Yang L. Vibrio natriegens as a host for rapid biotechnology. Trends Biotechnol 2022;40:381–4. [CrossRef]
  70. Grillot-Courvalin C, Goussard S, Huetz F, Ojcius DM, Courvalin P. Functional gene transfer from intracellular bacteria to mammalian cells. Nat Biotechnol 1998;16:862–6. [CrossRef]
  71. Gäbelein CG, Reiter MA, Ernst C, Giger GH, Vorholt JA. Engineering Endosymbiotic Growth of E. coli in Mammalian Cells. ACS Synth Biol 2022;11:3388–96. [CrossRef]
  72. Pfeifer E, Michniewski S, Gätgens C, Münch E, Müller F, Polen T, et al. Generation of a Prophage-Free Variant of the Fast-Growing Bacterium Vibrio natriegens. Appl Environ Microbiol 2019;85:e00853-19. [CrossRef]
  73. Kamaraju K, Smith J, Wang J, Roy V, Sintim HO, Bentley WE, et al. Effects on membrane lateral pressure suggest permeation mechanisms for bacterial quorum signaling molecules. Biochemistry 2011;50:6983–93. [CrossRef]
  74. Piñero-Lambea C, Bodelón G, Fernández-Periáñez R, et al. Programming controlled adhesion of E. coli to target surfaces, cells, and tumors with synthetic adhesins. ACS Synth Biol 2015;4(4):463–473; [CrossRef]
  75. Bausch-Fluck D, Goldmann U, Müller S, et al. The in silico human surfaceome. PNAS 2018;115(46):E10988–E10997; [CrossRef]
  76. 1159; 76. 115932.
  77. Niemann HH, Schubert W-D, Heinz DW. Adhesins and invasins of pathogenic bacteria: a structural view. Microbes and Infection 2004;6(1):101–112; [CrossRef]
  78. Ribet D, Cossart P. How bacterial pathogens colonize their hosts and invade deeper tissues. Microbes and Infection 2015;17(3):173–183; [CrossRef]
  79. Lerminiaux NA, MacKenzie KD, Cameron ADS. Salmonella Pathogenicity Island 1 (SPI-1): The Evolution and Stabilization of a Core Genomic Type Three Secretion System. Microorganisms 2020;8(4):576; [CrossRef]
  80. Chan CTY, Lee JW, Cameron DE, et al. “Deadman” and “Passcode” microbial kill switches for bacterial containment. Nat Chem Biol 2016;12(2):82–86; [CrossRef]
  81. Miller ST, Xavier KB, Campagna SR, et al. Salmonella typhimurium Recognizes a Chemically Distinct Form of the Bacterial Quorum-Sensing Signal AI-2. Molecular Cell 2004;15(5):677–687; [CrossRef]
  82. Singer ZS, Pabón J, Huang H, et al. Engineered Bacteria Launch and Control an Oncolytic Virus. 2023;2023.09.28.559873; [CrossRef]
  83. Liu X, Zhang L, Wang H, et al. Target RNA activates the protease activity of Craspase to confer antiviral defense. Molecular Cell 2022;82(23):4503-4518.e8; [CrossRef]
  84. Gootenberg JS, Abudayyeh OO, Lee JW, et al. Nucleic acid detection with CRISPR-Cas13a/C2c2. Science 2017;356(6336):438–442; [CrossRef]
  85. Molinari S, Shis DL, Bhakta SP, et al. A synthetic system for asymmetric cell division in Escherichia coli. Nat Chem Biol 2019;15(9):917–924; [CrossRef]
  86. Lin D-W, Liu Y, Lee Y-Q, et al. Construction of intracellular asymmetry and asymmetric division in Escherichia coli. Nat Commun 2021;12:888; [CrossRef]
  87. Schoen C, Kolb-Mäurer A, Geginat G, et al. Bacterial delivery of functional messenger RNA to mammalian cells. Cell Microbiol 2005;7(5):709–724; [CrossRef]
  88. 1159; 88. 115932.
  89. Pagliuso A, Tham TN, Allemand E, et al. An RNA-Binding Protein Secreted by a Bacterial Pathogen Modulates RIG-I Signaling. Cell Host Microbe 2019;26(6):823-835.e11; [CrossRef]
  90. Hossain MS, Biswas I. An Extracelluar Protease, SepM, Generates Functional Competence-Stimulating Peptide in Streptococcus mutans UA159. J Bacteriol 2012;194(21):5886–5896; [CrossRef]
  91. van Beljouw SPB, Haagsma AC, Kalogeropoulos K, et al. Craspase Orthologs Cleave a Nonconserved Site in Target Protein Csx30. ACS Chem Biol 2024;19(5):1051–1055; [CrossRef]
  92. Packer MS, Rees HA, Liu DR. Phage-assisted continuous evolution of proteases with altered substrate specificity. Nat Commun 2017;8(1):956; [CrossRef]
  93. Chang H-J, Mayonove P, Zavala A, et al. A Modular Receptor Platform To Expand the Sensing Repertoire of Bacteria. ACS Synth Biol 2018;7(1):166–175; [CrossRef]
  94. Tokareva OS, Li K, Travaline TL, et al. Recognition and reprogramming of E3 ubiquitin ligase surfaces by α-helical peptides. Nat Commun 2023;14(1):6992; [CrossRef]
  95. Basu S, Mehreja R, Thiberge S, et al. Spatiotemporal control of gene expression with pulse-generating networks. Proc Natl Acad Sci U S A 2004;101(17):6355–6360; [CrossRef]
  96. Reniere ML, Whiteley AT, Hamilton KL, et al. Glutathione activates virulence gene expression of an intracellular pathogen. Nature 2015;517(7533):170–173; [CrossRef]
  97. Bracha S, Hassi K, Ross PD, Cobb S, Sheiner L, Rechavi O. Engineering Brain Parasites for Intracellular Delivery of Therapeutic Proteins 2018:481192. [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated