Review ArticleReview

Bacterial outer membrane vesicle-based cancer nanovaccines

Xiaoyu Gao, Qingqing Feng, Jing Wang and Xiao Zhao
Cancer Biology & Medicine September 2022, 19 (9) 1290-1300; DOI: https://doi.org/10.20892/j.issn.2095-3941.2022.0452

Abstract

Tumor vaccines, a type of personalized tumor immunotherapy, have developed rapidly in recent decades. These vaccines evoke tumor antigen-specific T cells to achieve immune recognition and killing of tumor cells. Because the immunogenicity of tumor antigens alone is insufficient, immune adjuvants and nanocarriers are often required to enhance anti-tumor immune responses. At present, vaccine carrier development often integrates nanocarriers and immune adjuvants. Among them, outer membrane vesicles (OMVs) are receiving increasing attention as a delivery platform for tumor vaccines. OMVs are natural nanovesicles derived from Gram-negative bacteria, which have adjuvant function because they contain pathogen associated molecular patterns. Importantly, OMVs can be functionally modified by genetic engineering of bacteria, thus laying a foundation for applications as a delivery platform for tumor nanovaccines. This review summarizes 5 aspects of recent progress in, and future development of, OMV-based tumor nanovaccines: strain selection, heterogeneity, tumor antigen loading, immunogenicity and safety, and mass production of OMVs.

keywords

Introduction

Cancer is a major global public health threat1. As technology advances, cancer therapy has undergone a paradigm shift2. In traditional therapies, including surgery, radiotherapy, and chemotherapy, all patients are treated in a similar mode, and the treatments not only kill tumor cells but also harm normal cells3. With advances in basic research in cancer, precision therapy, represented by molecular targeted therapy and immunotherapy, has gradually become a focus of cancer therapy. Molecular targeted therapy, such as monoclonal antibodies or inhibitors against oncogenes, and immunotherapy, such as adoptive cell therapy and immune checkpoint blocking therapy, have shown strong anti-tumor activity in a variety of tumor types4–6. Precision therapy can target a group of patients with a model of treatment, but potential limitations remain, such as low clinical response rates and off-target lethality7. The future development direction of tumor therapy will involve formulating individual treatment models for each patient8. Cancer cells are the malignant products of the accumulation of gene mutations, and each patient has a unique genetic mutation spectrum. Developing specific treatments against each patient’s mutated gene spectrum would allow truly personalized cancer therapy to be achieved.

Although the development of highly safe and effective personalized cancer therapies requires substantial resources and time9, the establishment of tumor vaccine platforms can shorten the development trajectory10. In recent years, outer membrane vesicles (OMVs) have gradually been applied to personalized tumor vaccine platforms. The cargoes originating from the donor bacteria, particularly pathogen associated molecular patterns (PAMPs), enable OMVs to activate a variety of Toll-like receptor (TLR) signaling pathways11. This potent immunogenicity distinguishes OMVs as promising delivery vectors for tumor vaccines. In this review, we summarize tumor vaccines and tumor nanovaccines, and introduce OMVs and their applications in tumor vaccines. Specifically, we highlight 5 aspects of the current progress in, and future development of, OMV-based tumor nanovaccines: strain selection, heterogeneity, tumor antigen loading, immunogenicity and safety, and mass production of OMVs.

Tumor vaccines

With the rapid technological advances in next generation sequencing, genomics, bioinformatics and other fields, the mutated peptides generated from gene mutations in cancer cells can be identified, some of which have the potential to activate immune responses as so-called tumor antigens12,13. Tumor antigens are classified into tumor-associated antigens and tumor-specific antigens. Tumor-associated antigens are proteins that are highly expressed by tumor cells, whereas tumor-specific antigens are gene mutation-generated neoantigens14. Tumor-specific antigens are usually referred to as tumor antigens. Because these tumor antigens are specific to tumor cells, treatments that target them do not harm normal cells12.

An emerging tumor treatment modality, therapeutic tumor vaccines, has been developed against specific tumor antigens. Through presenting tumor antigens to the immune system, therapeutic tumor vaccines activate tumor antigen-specific T cells that specifically recognize and kill tumor cells15,16. More than 200 clinical trials of cancer vaccines have been performed worldwide, and studies on tumor vaccines are increasingly being performed17. In April 2010, Provenge/sipuleucel-T, the first therapeutic tumor vaccine approved by the U.S. Food and Drug Administration, was applied to treat advanced prostate cancer18. In 2017, 2 groups from the Dana-Farber Cancer Institute in the United States and Johannes Gutenberg University Mainz in Germany made major breakthroughs in the field of tumor vaccines. After predicting possible tumor antigens through bioinformatic technologies, the researchers synthesized 2 tumor vaccines based on peptides or mRNA, which yielded encouraging results in patients with advanced melanoma19–21. Therapeutic tumor vaccines are personalized tumor therapies that target each patient’s unique genetic alterations, and not only activate tumor antigen-specific T cells but also amplify existing anti-tumor immunity.

Tumor nanovaccines

When tumor antigens are used alone, the immunogenicity of tumor vaccines is low and consequently is insufficient to activate effective anti-tumor immune responses. Efficient tumor vaccines often require immune adjuvants and nanocarriers to enhance the immunogenicity of tumor antigens17. Nanoparticle-based vaccine delivery systems, also called nanovaccines, are nanomaterials (20–100 nm) that target the human immune system and activate the host’s immune responses against diseases. Antigens and adjuvants are conjugated to the surface or core of nanoparticles with various materials and manufacturing conditions22. Immune adjuvants are usually stimulants of innate immunity that act on antigen presenting cells (APCs), thus providing the necessary co-stimulatory signals for successful antigen presentation. Examples include TLR agonists, dendritic cell (DC) targeting monoclonal antibodies, saponin adjuvants, granulocyte macrophage colony-stimulating factor, stimulator of interferon genes (STING) ligands, aluminum hydroxide, or lipopolysaccharide (LPS)23. Nanocarriers use the natural uptake pathways of immune cells to enhance the uptake and processing efficiency of neoantigens by APCs24. Several materials have been used to develop nanocarriers for tumor vaccine delivery, such as lipids25, polymers26, synthetic high-density lipoproteins27, and DNA origami28. To ensure that innate immune activation and antigen delivery occur in the same APCs, current tumor nanovaccines are designed to use nanocarriers to co-deliver tumor antigens and immune adjuvants.

The co-delivery design of nanovaccines requires complex synthesis processes and the addition of adjuvants. To avoid additional components and preparation steps, tumor vaccine carriers often integrate nanocarriers and immune adjuvants. Some promising nanocarriers with intrinsic immune adjuvant properties, such as polymeric and lipid nanoparticles that activate the STING pathway, have been developed29,30. These nanovaccines do not require the addition of exogenous adjuvants, and they effectively inhibit tumor growth in a variety of tumor models. However, these nanomaterials with unique adjuvant properties require complex screening and synthesis.

OMVs

In recent years, biomimetic nanomaterials, particularly natural biofilms, have attracted increasing attention from researchers31. Because biomimetic nanomaterials have similar surface proteins and complete phospholipid bilayers to natural biofilm, they have special functions such as ligand recognition, biological targeting, and long circulation times. Among them, OMVs, natural spherical nanovesicles, are from Gram-negative bacteria and have a diameter of 30–200 nm32. OMVs can be functionally modified by genetic engineering, are rich in PAMPs, and can activate multiple TLR signaling pathways33. In 1967, Chatterjee and Das34 discovered OMVs while studying the cell wall structure of Vibrio cholerae in vitro. Since then, OMVs have been observed in an increasing number of Gram-negative bacteria35. At present, no definite conclusions have been drawn regarding the biogenesis of OMVs. However, several biogenesis pathways have been reported36, such as (1) disruption of peptidoglycan-lipoprotein crosslinks37; (2) accumulation of envelope components38; (3) enrichment of specific LPS in some areas39; (4) insertion of the pseudomonas quinolone signal40; and (5) downregulation of the VacJ/Yrb ABC transporter41. Many studies have shown that the biogenesis of OMVs can aid in bacterial defense against antibiotics such as gentamicin42 through antibiotic dilution, increase the survival rate of bacteria in other harsh environments, deliver virulence factors to the host, increase bacterial immune evasion after host infection32, and transfer genes, such as those conferring antibiotic resistance, to help bacteria better adapt to the environment43.

OMVs are nonreplicating nano-sized vesicles composed of lipids, outer membrane proteins, periplasmic proteins, DNA and RNA. OMVs are rich in bacterial PAMPs, such as LPS, peptidoglycan, and flagellin44. LPS is an endotoxin and a highly potent PAMP. After binding the pattern recognition receptor (PRR) TLR445, LPS simultaneously activates the downstream signaling pathways of MyD88 and TRIF, thus leading to the release of inflammatory factors and activation of the innate immune response46. In addition, bacterial lipoprotein stimulates TLR2 responses; flagellin stimulates TLR5 responses; unmethylated bacterial CpG DNA stimulates TLR9 responses; and bacterial ribosomal RNA stimulates TLR13 responses11. In summary, OMVs activate different TLRs, thus inducing the innate immune response. Consequently, OMVs have gradually become highly promising candidate vaccine nanocarriers. To obtain high-quality OMVs, many techniques have been developed to isolate and purify OMVs, such as ultracentrifugation, ultrafiltration, precipitation, size-exclusion chromatography, affinity isolation, and density gradient centrifugation36. Compared with traditional tumor vaccine nanocarriers, OMVs have several clear advantages: (1) owing to the nano-sized particle effect32 and their exogenous nature, OMVs can be quickly recognized and taken up by DCs; (2) OMVs are rich in many PAMPs and can activate multiple innate immune signaling pathways, thus resulting in a natural adjuvant effect35; (3) OMVs are stable and rigid, and can decrease the degradation of loading antigens47; (4) OMVs can be functionally enhanced and modified through genetic engineering of bacteria47; (5) in contrast to weakened bacteria, OMVs cannot duplicate and therefore are more secure36 (Figure 1).

Figure 1
Figure 1

Composition and advantages of OMVs. OMVs are composed of LPS, porin, flagellin, outer membrane protein, lipoprotein, toxin, enzyme, periplasmic protein, cytoplasmic protein, peptidoglycan, metabolites, DNA and RNA. Compared with traditional tumor vaccine nanocarriers, OMVs have the following clear advantages: 1. Owing to the nano-sized particle effect and their exogenous nature, OMVs can be quickly recognized and taken up by DCs. 2. OMVs are rich in many PAMPs and can activate multiple innate immune signaling pathways, thereby exerting a natural adjuvant effect. 3. OMVs are stable and rigid, and can decrease the degradation of loading antigens. 4. OMVs can be functionally enhanced and modified by genetic engineering of bacteria. 5. Unlike weakened bacteria, OMVs cannot replicate and therefore are more secure.

Current progress in OMV-based tumor nanovaccines

Five key aspects must be developed and investigated when OMVs are used as tumor vaccine vectors (Figure 2): (1) strain selection; (2) heterogeneity of OMVs; (3) tumor antigen loading; (4) immunogenicity and safety of OMVs; and (5) mass production of OMVs.

Figure 2
Figure 2

Current progress in, and future development of, OMV-based tumor nanovaccines. Five key aspects must be developed and investigated for OMVs to be used as tumor vaccine vectors: (1) strain selection; (2) heterogeneity of OMVs; (3) tumor antigen loading; (4) immunogenicity and safety of OMVs; and (5) mass production of OMVs.

Strain selection

OMVs derived from Escherichia coli (E. coli), Klebsiella pneumoniae, Salmonella typhimurium, and attenuated Salmonella have been used as drug delivery vehicles or directly in tumor therapy48–50. The OMVs currently used in tumor vaccines are all derived from E. coli, because of the ease of genetic engineering of E. coli51,52. However, E. coli-derived OMVs present 2 main problems: (1) E. coli exists in the human body, and a potential exists for immune tolerance to E. coli OMVs, and (2) the strong immune responses against E. coli OMVs may affect the normal flora of the intestinal tract. The proposed Neisseria meningitidis (N. meningitidis) OMV-based vaccines have been approved and successfully used to prevent outbreaks of N. meningitidis53–55. Therefore, OMVs from N. meningitidis are highly immunogenic and have been approved as safe; consequently, they may serve as ideal nanocarriers for tumor vaccines. However, further research is needed to confirm this possibility.

Heterogeneity of OMVs

OMVs vary widely in size and composition, depending on their endogenous and exogenous sources. Endogenous factors mainly include the selection of bacterial strains and biogenesis pathways; exogenous factors mainly include the growth stage, growth environment, and extraction method. OMV composition varies among strains. For example, in E. coli-derived OMVs56 phosphatidylethanolamine is the main phospholipid, whereas in Helicobacter pylori (H. pylori)-derived OMVs, the content of phosphatidylethanolamine is relatively low, and diphosphatidylglycerol is the main phospholipid57. A total of 141 protein components are present in E. coli-derived OMVs58, whereas 57 protein components are present in N. meningitidis-derived OMVs59. Hong and colleagues60 have analyzed the OMV proteomes from 2 E. coli strains, compared with bacterial cultures grown in iron-restricted and iron-supplemented conditions. The authors observed differences in the composition of OMVs according to E. coli strain and growth environment60. Zavan et al.61 have shown that the composition of H. pylori-derived OMVs varies among growth stages.

OMVs are heterogeneous, showing differences in size, protein composition, and content. These differences may cause OMVs to target different host cells and elicit different biological effects. A recent study has indicated that bacterial growth stage affects the ability of OMVs to induce the production of IL-8 by human epithelial cells61. Unfortunately, the production conditions and preparation methods of OMVs lack standardization; consequently, the composition and size of each batch of OMVs vary greatly and limit the clinical applications of OMVs. Transmission electron microscopy, nanoparticle tracking analysis, and mass spectrometry are often used to observe the morphology, detect the particle size and zeta potential, and analyze the composition of OMVs, respectively60. Ideal OMVs should have a low polydispersity index (PDI, < 0.2). Another quality control measure in the production of future OMV-based products may be the presence of characteristic proteins in OMVs, such as outer membrane protein A/C/F, which can be used as a fingerprint for OMV identification.

Tumor antigen loading

In recent years, OMVs has gradually been applied to deliver tumor antigens. Current strategies for surface modification or drug loading of OMVs include physical mixing48, electroporation62, and protein fusion63. For example, Li et al.51 have designed a promising in situ vaccine based on OMVs. The authors used maleimide (Mal) groups to modify the surfaces of OMV-Mal through a reaction between Mal-PEG4-NHS and amine groups on membrane proteins of OMVs. Then indoleamine 2, 3-dioxygenase inhibitor 1-methyl-tryptophan (1-MT) was loaded into the OMV-Mal by electroporation, thus forming [email protected] The vaccines have been found to facilitate immune-mediated tumor clearance after photothermal therapy through orchestrating antigen capture and immune modulation (Figure 3A). However, owing to the heterogeneity caused by new and frequent mutations, and the genetic instability of tumors, the development of personalized therapeutic tumor vaccines has gradually become a topic of interest in tumor therapy64. The antigen loading of personalized vaccines is based on a “plug and play” technology, in which the OMV membrane protein ClyA is fused to catcher proteins, and the tag-labeled antigens are displayed on the surfaces of OMVs via tag/catcher protein pairs65,66. Liang et al.65 have decorated OMVs with the DC-targeting αDEC205 antibody (OMV-DEC), thus endowing the nanovaccine with an uptake mechanism that is not restricted to maturation via antibody modification, thereby overcoming the phenomenon of maturation-induced uptake obstruction. In addition, the authors have used molecular glue technology to build a “plug-and-display” function in an OMV-based nanocarrier, thus achieving rapid display of tumor antigens and developing a personalized tumor vaccine (Figure 3B). Cheng et al.66 have described a versatile OMV-based vaccine platform to elicit specific anti-tumor immune responses via specifically presenting antigens on OMV surfaces. The platform can rapidly and simultaneously display multiple tumor antigens to elicit synergistic anti-tumor immune responses for personalized tumor vaccines (Figure 3C). Most current OMV-based vaccines for cancer are injectable vaccines. A major challenge in the field of OMV-based vaccines is changing the route of administration of OMV-based vaccines and increasing patient compliance. Recently, Yue et al.52 have fused the tumor antigen and Fc fragment of mouse IgG to the C-terminus of the surface protein ClyA, thus allowing this genetically engineered bacterial robot to secrete OMVs with tumor antigens under the induction of arabinose. The bacterial robot can overcome the harsh digestive tract environment and reach the intestines after oral administration. Oral arabinose induces the bacterial robot to produce OMVs carrying tumor antigens in situ in the intestines, thereby activating strong anti-tumor immune responses and immune memory effects (Figure 3D). To expand the application of tumor vaccine types, Li et al.67 have modified RNA binding protein on the surfaces of OMVs through fusion protein expression, and used box C/D sequence-labeled mRNA antigens to adsorb antigens on the surfaces of OMVs. This is the first time that OMVs were successfully been used as an mRNA delivery platform. This general mRNA tumor vaccine design has promising application prospects (Figure 3E). Unfortunately, OMV-based tumor vaccines are still in preclinical stage, and their anti-tumor effects have been detected only at the animal level. Translating OMV-based tumor vaccines into clinical applications remains a major challenge.

Figure 3
Figure 3
Figure 3

Application of OMVs in tumor vaccines. (A) OMVs facilitate immune-mediated tumor clearance after photothermal therapy through orchestrating antigen capture and immune modulation. Reproduced with permission from reference 47. Copyright 2022, Small. (B) OMVs with the DC-targeting αDEC205 antibody can overcome maturation-induced uptake obstruction. Reproduced with permission from reference 59. Copyright 2022, Fundamental Research. (C) A versatile OMV-based vaccine platform can rapidly and simultaneously display multiple tumor antigens, and consequently elicit synergistic anti-tumor immune responses for personalized tumor vaccines. Reproduced with permission from reference 60. Copyright 2021, Nature Communications. (D) Engineered OMVs release tumor antigens in the intestines after oral administration, thereby activating strong anti-tumor immune responses and immune memory effects. Reproduced with permission from reference 48. Copyright 2022, Nature Biomedical Engineering. (E) OMVs can be used as an mRNA delivery platform to activate strong anti-tumor immune responses. Reproduced with permission from reference 61. Copyright 2022, Advanced Materials.

Immunogenicity and safety of OMVs

LPS is the main potential toxic component in OMVs, so it is immunogenic and immunoreactive 36. Currently, the clinically approved OMV-based N. meningitidis vaccines use deoxycholate detergent to decrease LPS and ensure safety. However, this detergent method causes the loss of important lipoproteins on the surfaces of OMVs, thus decreasing immunogenicity68. Another strategy to obtain OMVs with low LPS toxicity is genetic engineering of LPS to reduce the acyl chain or phosphate group (such as msbA, msbB, Imp, lpxL1, lpxM, pagL and so on)69. Bos and colleagues70 have found that OMVs extracted by removal of the Imp gene have similar LPS levels to OMVs extracted with the detergent method, but without loss of lipoproteins on the surfaces of OMVs. Moreover, mutating hexa-acylated LPS to penta-acylated LPS decreases the toxicity of LPS and improves the safety of OMVs71. Zariri et al.46 have found that inactivation of the lpxL1 gene or expression of the pagL gene can form penta-acylated LPS. The detergent method inhibits both TLR4 and TLR2 activation by OMVs, whereas the genetic engineering of LPS decreases only TLR4 activation. In addition, the encapsulation method can decrease inflammatory responses due to systemic exposure of OMVs after intravenous injection. Qing et al.72 have encapsulated OMVs with a pH-sensitive shell of calcium phosphate, thus decreasing toxic adverse effects and achieving tumor-targeted release. LPS-deficient OMVs exert lower immunogenicity than OMVs with normal LPS levels. Consequently, a new challenge involves identifying the ideal balance between low toxicity and high immunogenicity.

In addition, other components of OMVs, such as outer membrane proteins and lipoproteins, can induce systemic inflammatory responses47. To improve the safety of OMVs, Zheng et al.73 have designed a synthetic adjuvant carrier that morphologically mimics bacteria and comprises an optimal combination of components derived from bacterial cell walls, flagella, and nucleoids. The bacterium-mimicking vectors (BMVs) cooperatively trigger multiple PRR signaling pathways, and display anti-tumor therapeutic and prophylactic effects superior to those of either the reported synthetic or bacterium-derived adjuvant. Importantly, the synthetic BMVs with detoxified and controllable composition exhibit diminished toxicity. Unfortunately, the main hurdle in synthetic BMVs is choosing the optimal combination of PAMPs to decrease toxic adverse effects and further increase the immunogenicity of the adjuvants, in fine-tuning the desired immune responses to achieve the best anti-tumor effects.

Mass production of OMVs

During production, the scalability of OMVs is critical to ensure economic viability. The extraction of OMVs relies primarily on ultracentrifugation, ultrafiltration, protein precipitation, and size exclusion chromatography69. However, these methods are limited to small-scale production, and their yields are low. Currently marketed OMV-based vaccines exhibit potent endotoxicity, such as that from LPS. To remove most LPS and increase the safety of OMVs, the production process requires deoxycholate detergent extraction. The resulting OMVs tend to aggregate, and the deoxycholate cannot be completely removed during the purification process, thus posing safety hazards. In addition, the production process of OMVs is complicated, and toxic chemicals such as phenol are used, thereby limiting the large-scale production of OMVs74.

To decrease the cost of producing OMVs, researchers have increased the yield of OMVs and improved the production process. The rmpM gene maintains bacterial cell wall stability through connecting the outer membrane protein and peptidoglycan layer75. Waterbeemd et al.74 have found that knockout of the rmpM gene increases OMV production. Gerritzen et al.76 have shown that the productivity of OMVs is improved by slowly increasing oxygen concentrations during bacterial culture. Because oxygen concentration is a controllable process parameter in bacterial culture, it can be used as a convenient process parameter to induce OMV release. In 2013, Waterbeemd et al.77 developed an improved detergent-free process to produce OMVs. The use of sterile equipment replaced the undesirable steps of ultracentrifugation, phenol inactivation, and the use of preservatives. The process is more consistent than other methods, by providing better stability and higher yield. In 2019, Gerritzen et al.78 developed a method for continuous production. Compared with batch production, the volumetric productivity of continuous culture reached 4.0 × 1014 OMVs/L/d. However, these improved production methods have been used to produce OMV-based vaccines against N. meningitidis, and their efficacy and immunogenicity as tumor vaccine vectors requires further study.

Concluding remarks and future perspectives

As described in the above sections, OMVs have promise in applications in tumor vaccines. OMVs can integrate the carriers and adjuvants of tumor vaccines, activate multiple natural immune signaling pathways, and prevent or eliminate tumors effectively. However, OMVs will require extensive further development before they can be used as tumor vaccine adjuvants and carriers in clinical settings, such as standardizing the operating guidelines of OMVs, decreasing the production cost of OMVs, increasing the safety of OMVs, and using OMVs for personalized treatment. At present, only E. coli is used to prepare OMVs as a tumor vaccine platform. However, identifying other engineered strains to prepare OMVs might enable a better balance between the safety and immunogenicity of OMVs. In addition, no clear conclusions have been drawn regarding the biogenesis of OMVs, and the biological signals and pathways activated in vivo. Future studies are expected to begin to address these fundamental questions. Furthermore, a polyethylene glycol (PEG) layer might be modified on OMV surfaces to make OMVs less toxic when they circulate in the body, thus achieving better therapeutic effects. Overall, OMVs warrant further research and greater attention to complement the carriers and adjuvants of tumor vaccines and develop safer, more effective tumor vaccines.

Grant support

This work was supported by grants from the National Key R&D Program of China (Grant No. 2021YFA0909900, X. Z.), the CAS Project for Young Scientists in Basic Research (Grant No. YSBR-010, X. Z.), the Beijing Natural Science Foundation (Grant No. Z200020, X. Z.), the Beijing Nova Program (Grant No. Z201100006820031, X. Z.), and the National Natural Science Foundation of China (Grant No. 32171384, X. Z.).

Conflict of interest statement

No potential conflicts of interest are disclosed.

Author contributions

Conceived and designed the analysis: Jing Wang and Xiao Zhao

Wrote the paper: Xiaoyu Gao, Qingqing Feng

  • Received July 28, 2022.
  • Accepted August 24, 2022.
https://creativecommons.org/licenses/by/4.0/

This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

References

  1. 1.↵
    2. Siegel RL,
    3. Miller KD,
    4. Fuchs HE,
    5. Jemal A.
    Cancer statistics, 2022. CA Cancer J Clin. 2022; 72: 7–33.
    OpenUrlCrossRefPubMed
  2. 2.↵
    2. Sanmamed MF,
    3. Chen L.
    A paradigm shift in cancer immunotherapy: from enhancement to normalization. Cell. 2018; 175: 313–26.
    OpenUrlCrossRefPubMed
  3. 3.↵
    2. Mun EJ,
    3. Babiker HM,
    4. Weinberg U,
    5. Kirson ED,
    6. Von Hoff DD.
    Tumor-treating fields: a fourth modality in cancer treatment. Clin Cancer Res. 2018; 24: 266–75.
    OpenUrlAbstract/FREE Full Text
  4. 4.↵
    2. Weber J,
    3. Mandala M,
    4. Del Vecchio M,
    5. Gogas HJ,
    6. Arance AM,
    7. Cowey CL, et al.
    Adjuvant nivolumab versus ipilimumab in resected stage III or IV melanoma. N Engl J Med. 2017; 377: 1824–35.
    OpenUrlCrossRefPubMed
  5. 5.
    2. Hellmann MD,
    3. Paz-Ares L,
    4. Bernabe Caro R,
    5. Zurawski B,
    6. Kim SW,
    7. Carcereny Costa E, et al.
    Nivolumab plus ipilimumab in advanced non-small-cell lung cancer. N Engl J Med. 2019; 381: 2020–31.
    OpenUrlCrossRefPubMed
  6. 6.↵
    2. Rini BI,
    3. Plimack ER,
    4. Stus V,
    5. Gafanov R,
    6. Hawkins R,
    7. Nosov D, et al.
    Pembrolizumab plus axitinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med. 2019; 380: 1116–27.
    OpenUrlCrossRefPubMed
  7. 7.↵
    2. Kennedy LB,
    3. Salama AKS.
    A review of cancer immunotherapy toxicity. CA Cancer J Clin. 2020; 70: 86–104.
    OpenUrlPubMed
  8. 8.↵
    2. Sahin U,
    3. Türeci Ö.
    Personalized vaccines for cancer immunotherapy. Science. 2018; 359: 1355–60.
    OpenUrlAbstract/FREE Full Text
  9. 9.↵
    2. Gerritzen MJH,
    3. Martens DE,
    4. Wijffels RH,
    5. van der Pol L,
    6. Stork M.
    Bioengineering bacterial outer membrane vesicles as vaccine platform. Biotechnol Adv. 2017; 35: 565–74.
    OpenUrlCrossRef
  10. 10.↵
    2. Kushnir N,
    3. Streatfield SJ,
    4. Yusibov V.
    Virus-like particles as a highly efficient vaccine platform: diversity of targets and production systems and advances in clinical development. Vaccine. 2012; 31: 58–83.
    OpenUrlCrossRefPubMed
  11. 11.↵
    2. Sanders H,
    3. Feavers IM.
    Adjuvant properties of meningococcal outer membrane vesicles and the use of adjuvants in Neisseria meningitidis protein vaccines. Expert Rev Vaccines. 2011; 10: 323–34.
    OpenUrlCrossRefPubMed
  12. 12.↵
    2. Schumacher TN,
    3. Schreiber RD.
    Neoantigens in cancer immunotherapy. Science. 2015; 348: 69–74.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    2. Yamamoto TN,
    3. Kishton RJ,
    4. Restifo NP.
    Developing neoantigen-targeted T cell-based treatments for solid tumors. Nat Med. 2019; 25: 1488–99.
    OpenUrlCrossRefPubMed
  14. 14.↵
    2. Haen SP,
    3. Löffler MW,
    4. Rammensee HG,
    5. Brossart P.
    Towards new horizons: characterization, classification and implications of the tumour antigenic repertoire. Nat Rev Clin Oncol. 2020; 17: 595–610.
    OpenUrlPubMed
  15. 15.↵
    2. Morse MA,
    3. Chui S,
    4. Hobeika A,
    5. Lyerly HK,
    6. Clay T.
    Recent developments in therapeutic cancer vaccines. Nat Clin Pract Oncol. 2005; 2: 108–13.
    OpenUrlCrossRefPubMed
  16. 16.↵
    2. Liu G,
    3. Zhu M,
    4. Zhao X,
    5. Nie G.
    Nanotechnology-empowered vaccine delivery for enhancing CD8+ T cells-mediated cellular immunity. Adv Drug Deliv Rev. 2021; 176: 113889.
  17. 17.↵
    2. Hu Z,
    3. Ott PA,
    4. Wu CJ.
    Towards personalized, tumour-specific, therapeutic vaccines for cancer. Nat Rev Immunol. 2018; 18: 168–82.
    OpenUrlCrossRefPubMed
  18. 18.↵
    2. Handy CE,
    3. Antonarakis ES.
    Sipuleucel-T for the treatment of prostate cancer: novel insights and future directions. Future Oncol. 2018; 14: 907–17.
    OpenUrlPubMed
  19. 19.↵
    2. Couzin-Frankel J.
    Breakthrough of the year 2013. Cancer immunotherapy. Science. 2013; 342: 1432–3.
    OpenUrlAbstract/FREE Full Text
  20. 20.
    2. Ott PA,
    3. Hu Z,
    4. Keskin DB,
    5. Shukla SA,
    6. Sun J,
    7. Bozym DJ, et al.
    An immunogenic personal neoantigen vaccine for patients with melanoma. Nature. 2017; 547: 217–21.
    OpenUrlCrossRefPubMed
  21. 21.↵
    2. Sahin U,
    3. Derhovanessian E,
    4. Miller M,
    5. Kloke BP,
    6. Simon P,
    7. Löwer M, et al.
    Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer. Nature. 2017; 547: 222–6.
    OpenUrlCrossRefPubMed
  22. 22.↵
    2. Luo M,
    3. Samandi LZ,
    4. Wang Z,
    5. Chen ZJ,
    6. Gao J.
    Synthetic nanovaccines for immunotherapy. J Control Release. 2017; 263: 200–10.
    OpenUrlPubMed
  23. 23.↵
    2. Bowen WS,
    3. Svrivastava AK,
    4. Batra L,
    5. Barsoumian H,
    6. Shirwan H.
    Current challenges for cancer vaccine adjuvant development. Expert Rev Vaccines. 2018; 17: 207–15.
    OpenUrl
  24. 24.↵
    2. Wang S,
    3. Cheng K,
    4. Chen K,
    5. Xu C,
    6. Ma P,
    7. Dang G, et al.
    Nanoparticle-based medicines in clinical cancer therapy. Nano Today. 2022; 45: 101512.
  25. 25.↵
    2. Kranz LM,
    3. Diken M,
    4. Haas H,
    5. Kreiter S,
    6. Loquai C,
    7. Reuter KC, et al.
    Systemic RNA delivery to dendritic cells exploits antiviral defence for cancer immunotherapy. Nature. 2016; 534: 396–401.
    OpenUrlCrossRefPubMed
  26. 26.↵
    2. Van der Jeught K,
    3. De Koker S,
    4. Bialkowski L,
    5. Heirman C,
    6. Tjok Joe P,
    7. Perche F, et al.
    Dendritic cell targeting mRNA lipopolyplexes combine strong antitumor T-cell immunity with improved inflammatory safety. ACS Nano. 2018; 12: 9815–29.
    OpenUrl
  27. 27.↵
    2. Huang C,
    3. Jin H,
    4. Qian Y,
    5. Qi S,
    6. Luo H,
    7. Luo Q, et al.
    Hybrid melittin cytolytic Peptide-driven ultrasmall lipid nanoparticles block melanoma growth in vivo. ACS Nano. 2013; 7: 5791–800.
    OpenUrl
  28. 28.↵
    2. Li S,
    3. Jiang Q,
    4. Liu S,
    5. Zhang Y,
    6. Tian Y,
    7. Song C, et al.
    A DNA nanorobot functions as a cancer therapeutic in response to a molecular trigger in vivo. Nat Biotechnol. 2018; 36: 258–64.
    OpenUrlCrossRefPubMed
  29. 29.↵
    2. Luo M,
    3. Wang H,
    4. Wang Z,
    5. Cai H,
    6. Lu Z,
    7. Li Y, et al.
    A STING-activating nanovaccine for cancer immunotherapy. Nat Nanotechnol. 2017; 12: 648–54.
    OpenUrlCrossRefPubMed
  30. 30.↵
    2. Miao L,
    3. Li L,
    4. Huang Y,
    5. Delcassian D,
    6. Chahal J,
    7. Han J, et al.
    Delivery of mRNA vaccines with heterocyclic lipids increases anti-tumor efficacy by STING-mediated immune cell activation. Nat Biotechnol. 2019; 37: 1174–85.
    OpenUrl
  31. 31.↵
    2. Zhai Y,
    3. Su J,
    4. Ran W,
    5. Zhang P,
    6. Yin Q,
    7. Zhang Z, et al.
    Preparation and application of cell membrane-camouflaged nanoparticles for cancer therapy. Theranostics. 2017; 7: 2575–92.
    OpenUrl
  32. 32.↵
    2. Toyofuku M,
    3. Nomura N,
    4. Eberl L.
    Types and origins of bacterial membrane vesicles. Nat Rev Microbiol. 2019; 17: 13–24.
    OpenUrlPubMed
  33. 33.↵
    2. Zhao X,
    3. Zhao R,
    4. Nie G.
    Nanocarriers based on bacterial membrane materials for cancer vaccine delivery. Nat Protoc. 2022 (in press). doi:10.1038/s41596-022-00713-7.
    OpenUrlCrossRef
  34. 34.↵
    2. Chatterjee SN,
    3. Das J.
    Electron microscopic observations on the excretion of cell-wall material by Vibrio cholerae. J Gen Microbiol. 1967; 49: 1–11.
    OpenUrlCrossRefPubMed
  35. 35.↵
    2. Schwechheimer C,
    3. Kuehn MJ.
    Outer-membrane vesicles from Gram-negative bacteria: biogenesis and functions. Nat Rev Microbiol. 2015; 13: 605–19.
    OpenUrlCrossRefPubMed
  36. 36.↵
    2. Xie J,
    3. Li Q,
    4. Haesebrouck F,
    5. van Hoecke L,
    6. Vandenbroucke RE.
    The tremendous biomedical potential of bacterial extracellular vesicles. Trends Biotechnol. 2022. doi:10.1016/j.tibtech.2022.03.005.
    OpenUrlCrossRef
  37. 37.↵
    2. Toyofuku M,
    3. Cárcamo-Oyarce G,
    4. Yamamoto T,
    5. Eisenstein F,
    6. Hsiao CC,
    7. Kurosawa M, et al.
    Prophage-triggered membrane vesicle formation through peptidoglycan damage in Bacillus subtilis. Nat Commun. 2017; 8: 481.
    OpenUrlCrossRefPubMed
  38. 38.↵
    2. Schwechheimer C,
    3. Kulp A,
    4. Kuehn MJ.
    Modulation of bacterial outer membrane vesicle production by envelope structure and content. BMC Microbiol. 2014; 14: 324.
    OpenUrlCrossRefPubMed
  39. 39.↵
    2. Chowdhury C,
    3. Jagannadham MV.
    Virulence factors are released in association with outer membrane vesicles of Pseudomonas syringae pv. tomato T1 during normal growth. Biochim Biophys Acta. 2013; 1834: 231–9.
    OpenUrlCrossRefPubMed
  40. 40.↵
    2. Tashiro Y,
    3. Ichikawa S,
    4. Nakajima-Kambe T,
    5. Uchiyama H,
    6. Nomura N.
    Pseudomonas quinolone signal affects membrane vesicle production in not only gram-negative but also gram-positive bacteria. Microbes Environ. 2010; 25: 120–5.
    OpenUrlCrossRefPubMed
  41. 41.↵
    2. Zingl FG,
    3. Kohl P,
    4. Cakar F,
    5. Leitner DR,
    6. Mitterer F,
    7. Bonnington KE, et al.
    Outer membrane vesiculation facilitates surface exchange and in vivo adaptation of Vibrio cholerae. Cell Host Microbe. 2020; 27: 225–37.e8.
    OpenUrlCrossRef
  42. 42.↵
    2. Kadurugamuwa JL,
    3. Beveridge TJ.
    Virulence factors are released from Pseudomonas aeruginosa in association with membrane vesicles during normal growth and exposure to gentamicin: a novel mechanism of enzyme secretion. J Bacteriol. 1995; 177: 3998–4008.
    OpenUrlAbstract/FREE Full Text
  43. 43.↵
    2. Rumbo C,
    3. Fernández-Moreira E,
    4. Merino M,
    5. Poza M,
    6. Mendez JA,
    7. Soares NC, et al.
    Horizontal transfer of the OXA-24 carbapenemase gene via outer membrane vesicles: a new mechanism of dissemination of carbapenem resistance genes in Acinetobacter baumannii. Antimicrob Agents Chemother. 2011; 55: 3084–90.
    OpenUrlAbstract/FREE Full Text
  44. 44.↵
    2. Kaparakis-Liaskos M,
    3. Ferrero RL.
    Immune modulation by bacterial outer membrane vesicles. Nat Rev Immunol. 2015; 15: 375–87.
    OpenUrlCrossRefPubMed
  45. 45.↵
    2. Poltorak A,
    3. He X,
    4. Smirnova I,
    5. Liu MY,
    6. Van Huffel C,
    7. Du X, et al.
    Defective LPS signaling in C3H/HeJ and C57BL/10ScCr mice: mutations in Tlr4 gene. Science. 1998; 282: 2085–8.
    OpenUrlAbstract/FREE Full Text
  46. 46.↵
    2. Zariri A,
    3. Beskers J,
    4. van de Waterbeemd B,
    5. Hamstra HJ,
    6. Bindels TH,
    7. van Riet E, et al.
    Meningococcal outer membrane vesicle composition-dependent activation of the innate immune response. Infect Immun. 2016; 84: 3024–33.
    OpenUrlAbstract/FREE Full Text
  47. 47.↵
    2. Cheng K,
    3. Kang Q,
    4. Zhao X.
    Biogenic nanoparticles as immunomodulator for tumor treatment. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2020; 12: e1646.
  48. 48.↵
    2. Kuerban K,
    3. Gao X,
    4. Zhang H,
    5. Liu J,
    6. Dong M,
    7. Wu L, et al.
    Doxorubicin-loaded bacterial outer-membrane vesicles exert enhanced anti-tumor efficacy in non-small-cell lung cancer. Acta Pharm Sin B. 2020; 10: 1534–48.
    OpenUrl
  49. 49.
    2. Zhang J,
    3. Li Z,
    4. Liu L,
    5. Li L,
    6. Zhang L,
    7. Wang Y, et al.
    Self-assembly catalase nanocomplex conveyed by bacterial vesicles for oxygenated photodynamic therapy and tumor immunotherapy. Int J Nanomedicine. 2022; 17: 1971–85.
    OpenUrl
  50. 50.↵
    2. Zhuang Q,
    3. Xu J,
    4. Deng D,
    5. Chao T,
    6. Li J,
    7. Zhang R, et al.
    Bacteria-derived membrane vesicles to advance targeted photothermal tumor ablation. Biomaterials. 2021; 268: 120550.
  51. 51.↵
    2. Li Y,
    3. Zhang K,
    4. Wu Y,
    5. Yue Y,
    6. Cheng K,
    7. Feng Q, et al.
    Antigen capture and immune modulation by bacterial outer membrane vesicles as in situ vaccine for cancer immunotherapy post-photothermal therapy. Small. 2022; 18: e2107461.
  52. 52.↵
    2. Yue Y,
    3. Xu J,
    4. Li Y,
    5. Cheng K,
    6. Feng Q,
    7. Ma X, et al.
    Antigen-bearing outer membrane vesicles as tumour vaccines produced in situ by ingested genetically engineered bacteria. Nat Biomed Eng. 2022; 6: 898–909.
    OpenUrl
  53. 53.↵
    2. Sierra GV,
    3. Campa HC,
    4. Varcacel NM,
    5. Garcia IL,
    6. Izquierdo PL,
    7. Sotolongo PF, et al.
    Vaccine against group B neisseria meningitidis: protection trial and mass vaccination results in Cuba. NIPH Ann. 1991; 14: 195–207; discussion 208-10.
    OpenUrlPubMed
  54. 54.
    2. Arnold R,
    3. Galloway Y,
    4. McNicholas A,
    5. O’Hallahan J.
    Effectiveness of a vaccination programme for an epidemic of meningococcal B in New Zealand. Vaccine. 2011; 29: 7100–6.
    OpenUrlCrossRefPubMed
  55. 55.↵
    2. O’Ryan M,
    3. Stoddard J,
    4. Toneatto D,
    5. Wassil J,
    6. Dull PM.
    A multi-component meningococcal serogroup B vaccine (4CMenB): the clinical development program. Drugs. 2014; 74: 15–30.
    OpenUrlCrossRefPubMed
  56. 56.↵
    2. Hoekstra D,
    3. van der Laan JW,
    4. de Leij L,
    5. Witholt B.
    Release of outer membrane fragments from normally growing Escherichia coli. Biochim Biophys Acta. 1976; 455: 889–99.
    OpenUrlCrossRefPubMed
  57. 57.↵
    2. Olofsson A,
    3. Vallström A,
    4. Petzold K,
    5. Tegtmeyer N,
    6. Schleucher J,
    7. Carlsson S, et al.
    Biochemical and functional characterization of Helicobacter pylori vesicles. Mol Microbiol. 2010; 77: 1539–55.
    OpenUrlCrossRefPubMed
  58. 58.↵
    2. Lee EY,
    3. Bang JY,
    4. Park GW,
    5. Choi DS,
    6. Kang JS,
    7. Kim HJ, et al.
    Global proteomic profiling of native outer membrane vesicles derived from Escherichia coli. Proteomics. 2007; 7: 3143–53.
    OpenUrlCrossRefPubMed
  59. 59.↵
    2. Vaughan TE,
    3. Skipp PJ,
    4. O’Connor CD,
    5. Hudson MJ,
    6. Vipond R,
    7. Elmore MJ, et al.
    Proteomic analysis of Neisseria lactamica and N eisseria meningitidis outer membrane vesicle vaccine antigens. Vaccine. 2006; 24: 5277–93.
    OpenUrlCrossRefPubMed
  60. 60.↵
    2. Hong J,
    3. Dauros-Singorenko P,
    4. Whitcombe A,
    5. Payne L,
    6. Blenkiron C,
    7. Phillips A, et al.
    Analysis of the Escherichia coli extracellular vesicle proteome identifies markers of purity and culture conditions. J Extracell Vesicles. 2019; 8: 1632099.
  61. 61.↵
    2. Zavan L,
    3. Bitto NJ,
    4. Johnston EL,
    5. Greening DW,
    6. Kaparakis-Liaskos M.
    Helicobacter pylori growth stage determines the size, protein composition, and preferential cargo packaging of outer membrane vesicles. Proteomics. 2019; 19: e1800209.
  62. 62.↵
    2. Pan J,
    3. Li X,
    4. Shao B,
    5. Xu F,
    6. Huang X,
    7. Guo X, et al.
    Self-blockade of pd-l1 with bacteria-derived outer-membrane vesicle for enhanced cancer immunotherapy. Adv Mater. 2022; 34: e2106307.
  63. 63.↵
    2. Grandi A,
    3. Tomasi M,
    4. Zanella I,
    5. Ganfini L,
    6. Caproni E,
    7. Fantappiè L, et al.
    Synergistic protective activity of tumor-specific epitopes engineered in bacterial outer membrane vesicles. Front Oncol. 2017; 7: 253.
    OpenUrlCrossRef
  64. 64.↵
    2. Liang J,
    3. Zhao X.
    Nanomaterial-based delivery vehicles for therapeutic cancer vaccine development. Cancer Biol Med. 2021; 18: 352–71.
    OpenUrlAbstract/FREE Full Text
  65. 65.↵
    2. Liang J,
    3. Cheng K,
    4. Li Y,
    5. Xu J,
    6. Chen Y,
    7. Ma N, et al.
    Personalized cancer vaccines from bacteria-derived outer membrane vesicles with antibody-mediated persistent uptake by dendritic cells. Fundam Res. 2022; 2: 23–36.
    OpenUrl
  66. 66.↵
    2. Cheng K,
    3. Zhao R,
    4. Li Y,
    5. Qi Y,
    6. Wang Y,
    7. Zhang Y, et al.
    Bioengineered bacteria-derived outer membrane vesicles as a versatile antigen display platform for tumor vaccination via Plug-and-Display technology. Nat Commun. 2021; 12: 2041.
    OpenUrl
  67. 67.↵
    2. Li Y,
    3. Ma X,
    4. Yue Y,
    5. Zhang K,
    6. Cheng K,
    7. Feng Q, et al.
    Rapid surface display of mRNA antigens by bacteria-derived outer membrane vesicles for a personalized tumor vaccine. Adv Mater. 2022; 34: e2109984.
  68. 68.↵
    2. van der Pol L,
    3. Stork M,
    4. van der Ley P.
    Outer membrane vesicles as platform vaccine technology. Biotechnol J. 2015; 10: 1689–706.
    OpenUrlCrossRefPubMed
  69. 69.↵
    2. Li M,
    3. Zhou H,
    4. Yang C,
    5. Wu Y,
    6. Zhou X,
    7. Liu H, et al.
    Bacterial outer membrane vesicles as a platform for biomedical applications: An update. J Control Release. 2020; 323: 253–68.
    OpenUrl
  70. 70.↵
    2. Bos MP,
    3. Tefsen B,
    4. Geurtsen J,
    5. Tommassen J.
    Identification of an outer membrane protein required for the transport of lipopolysaccharide to the bacterial cell surface. Proc Natl Acad Sci U S A. 2004; 101: 9417–22.
    OpenUrlAbstract/FREE Full Text
  71. 71.↵
    2. Arenas J,
    3. van Dijken H,
    4. Kuipers B,
    5. Hamstra HJ,
    6. Tommassen J,
    7. van der Ley P.
    Coincorporation of LpxL1 and PagL mutant lipopolysaccharides into liposomes with Neisseria meningitidis opacity protein: influence on endotoxic and adjuvant activity. Clin Vaccine Immunol. 2010; 17: 487–95.
    OpenUrlAbstract/FREE Full Text
  72. 72.↵
    2. Qing S,
    3. Lyu C,
    4. Zhu L,
    5. Pan C,
    6. Wang S,
    7. Li F, et al.
    Biomineralized bacterial outer membrane vesicles potentiate safe and efficient tumor microenvironment reprogramming for anticancer therapy. Adv Mater. 2020; 32: e2002085.
  73. 73.↵
    2. Zheng B,
    3. Xu J,
    4. Chen G,
    5. Zhang S,
    6. Xiao Z,
    7. Lu W.
    Bacterium-mimicking vector with enhanced adjuvanticity for cancer immunotherapy and minimized toxicity. Adv Funct. 2019; 29: 1901437.
  74. 74.↵
    2. van de Waterbeemd B,
    3. Streefland M,
    4. van der Ley P,
    5. Zomer B,
    6. van Dijken H,
    7. Martens D, et al.
    Improved OMV vaccine against Neisseria meningitidis using genetically engineered strains and a detergent-free purification process. Vaccine. 2010; 28: 4810–6.
    OpenUrlCrossRefPubMed
  75. 75.↵
    2. Grizot S,
    3. Buchanan SK.
    Structure of the OmpA-like domain of RmpM from Neisseria meningitidis. Mol Microbiol. 2004; 51: 1027–37.
    OpenUrlCrossRefPubMed
  76. 76.↵
    2. Gerritzen MJH,
    3. Maas RHW,
    4. van den Ijssel J,
    5. van Keulen L,
    6. Martens DE,
    7. Wijffels RH, et al.
    High dissolved oxygen tension triggers outer membrane vesicle formation by Neisseria meningitidis. Microb Cell Fact. 2018; 17: 157.
    OpenUrlCrossRef
  77. 77.↵
    2. van de Waterbeemd B,
    3. Zomer G,
    4. Kaaijk P,
    5. Ruiterkamp N,
    6. Wijffels RH,
    7. van den Dobbelsteen GP, et al.
    Improved production process for native outer membrane vesicle vaccine against Neisseria meningitidis. PLoS One. 2013; 8: e65157.
  78. 78.↵
    2. Gerritzen MJH,
    3. Stangowez L,
    4. van de Waterbeemd B,
    5. Martens DE,
    6. Wijffels RH,
    7. Stork M.
    Continuous production of Neisseria meningitidis outer membrane vesicles. Appl Microbiol Biotechnol. 2019; 103: 9401–10.
    OpenUrl
Back to top

In this issue

Print
Download PDF
Email Article
Citation Tools

Jump to section

Keywords