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Nature Communications logoLink to Nature Communications
. 2021 Nov 15;12:6584. doi: 10.1038/s41467-021-26956-8

Aptamer-assisted tumor localization of bacteria for enhanced biotherapy

Zhongmin Geng 1, Zhenping Cao 1, Rui Liu 1, Ke Liu 1, Jinyao Liu 1,2,, Weihong Tan 1
PMCID: PMC8593157  PMID: 34782610

Abstract

Despite bacterial-mediated biotherapies have been widely explored for treating different types of cancer, their implementation has been restricted by low treatment efficacy, due largely to the absence of tumor-specific accumulation following administration. Here, the conjugation of aptamers to bacterial surface is described by a simple and cytocompatible amidation procedure, which can significantly promote the localization of bacteria in tumor site after systemic administration. The surface density of aptamers can be easily adjusted by varying feed ratio and the conjugation is able to increase the stability of anchored aptamers. Optimal bacteria conjugated with an average of 2.8 × 105 aptamers per cell present the highest specificity to tumor cells in vitro, separately generating near 2- and 4-times higher accumulation in tumor tissue at 12 and 60 hours compared to unmodified bacteria. In both 4T1 and H22 tumor-bearing mouse models, aptamer-conjugated attenuated Salmonella show enhanced antitumor efficacy, along with highly activated immune responses inside the tumor. This work demonstrates how bacterial behaviors can be tuned by surface conjugation and supports the potential of aptamer-conjugated bacteria for both targeted intratumoral localization and enhanced tumor biotherapy.

Subject terms: DNA, Drug delivery, Drug development, Drug delivery, Applied microbiology


Bacteria-based therapy has shown promise for cancer treatment. To enhance tumor accumulation, here the authors describe the design of tumor specific aptamer-conjugated bacteria, to improve intratumor localization and enhance therapeutic efficacy.

Introduction

In the late nineteenth century, W. Busch and W. Coley have independently utilized Streptococcus pyrogens and Serratia marcescens to treat cancer, which appears as distinct tumor suppression effects in some sarcoma patients1,2. Since then, the exploration of bacterial-based tumor therapies has never stopped, although the therapeutic outcomes of these treatments remain unstable3. Particularly, with recent progress in the fields of immunology and biotechnology, bacteria have attracted increasing attention in tumor biotherapy, both as immune modulators and drug delivery vehicles4,5. The infection by bacteria is able to promote the immunogenicity of tumors, which further induces effective antitumor immune responses6. As reported, different immune cell subtypes, such as CD4+ and CD8+ T cells, regulatory T cells, and tumor-associated macrophages, can be modulated to generate antitumor immunity by attenuated bacteria7. Furthermore, the colonization of bacteria in tumor tissue is capable to trigger the activation of innate immunocytes and the release of proinflammatory factors, which cause the disruption of tumor vasculature as well as the associated thrombosis8. Regarding the application of bacteria as drug carriers, the greatest strength is their favorable colonization in the tumor sites, which is attributed to the intratumor anaerobic condition, eutrophication, and the immunosuppressive microenvironment911. Namely, the use of bacteria as delivery vehicles can improve the accumulation and penetration of drugs in tumor tissue and hence maximize their therapeutic efficacies. Unfortunately, bacterial-mediated tumor therapy always suffers from low inhibition efficiency of tumor growth and undesirable dose-dependent side effects, as confirmed in the failure of phase 1 clinical trial of attenuated Salmonella typhimurium12.

Substantial efforts have been made to tackle these challenges by modifying bacteria either chemically or genetically13,14. To reduce systemic toxicity, several bacterial species including Listeria, Escherichia coli, and Clostridium have been attenuated by removing key virulence factor genes15. Alternatively, decoration with various types of substrates on the bacterial surfaces, such as synthetic nanoparticles and therapeutic drugs, has been exploited to enhance antitumor activity1619. We have recently wrapped with extra coatings to retain bacterial viability under unfriendly external conditions2024. For instance, bacteria decorated with a stealth coating can decrease their elimination by macrophages, which subsequently prolong blood circulation following systemic injection25. However, previous modifications by both chemical and genetic approaches lack the ability to endow bacteria with increment in tumor-specific localization after administration. Therefore, strategies are highly desirable for increasing the tumor-targeting capacity of bacteria, which can in turn increase the safety and antitumor efficacy of bacterial-based therapy.

Aptamers, which are considered “chemical antibodies”, have been broadly applied as targeting ligands due to their ability to specifically recognize cell-surface targets (such as nucleic acids and proteins), whole cells, and even tissues2628. Similar to antibodies, aptamers exhibit many favorable features including high affinity, excellent specificity, and low immunogenicity29. In addition, aptamers can be easily synthesized in vitro through mature solid-state synthetic technology and be chemically modified with various functional groups30. By virtue of these unique characteristics, several therapeutic aptamers have been evaluated in clinical trials for their potential in cancer treatment31. However, aptamer-based drug delivery has been mainly focused on developing aptamer-drug conjugates and aptamer-functionalized nanoparticles, with aims to enhance antitumor efficacies by increasing the accumulation of drugs in tumors3234. To the best of our knowledge, the use of aptamers to actively deliver living cells to the tumor site by a specific ligand−receptor interaction has not been reported yet.

In this work, we describe aptamer-assisted tumor localization of bacteria for enhanced biotherapy (Fig. 1a, b). Tumor-specific aptamers have been conjugated to the surface of bacteria by a single-step amidation procedure, which produces aptamer-conjugated bacteria (ApCB). The preparation shows a negligible influence on bacterial viability, as the obtained ApCB grows similarly to unmodified bacteria. The grafting density of aptamers on the bacteria surface can be readily tuned from 0.7 × 105 to 5.7 × 105 aptamers per cell by controlling the feed ratio. More importantly, the attachment is capable of decreasing the enzymatic hydrolysis of aptamers anchored on the surface, up to 80% of which remains intact after 24 h exposure to serum. Among a set of ApCB with different grafting densities, bacteria decorated with an average of 2.8 × 105 aptamers per cell exhibit the highest specificity to tumor cells in vitro, which separately achieves 2- and 4-fold higher colonization in tumor tissue at 12 and 60 h post tail vein injection in mice. As a proof-of-concept study, aptamer-conjugated attenuated Salmonella Typhimurium VNP20009 (VNP) display significantly enhanced antitumor efficacy in both 4T1 and H22 tumor-bearing mouse models, accompanied with remarkably elicited immune responses within the tumor. Therefore, our work illustrates a strategy to manipulate bacterial behaviors by simple surface modification and demonstrates the promising of ApCB for enhanced bacterial-mediated cancer therapy.

Fig. 1. Design, preparation and characterization of ApCB.

Fig. 1

a Preparation of ApCB through amide condensation. b Aptamer-assisted tumor localization of bacteria for enhanced biotherapy. c Typical LSCM images of aptamer-conjugated bacteria. The red and green channels indicate aptamer conjugated with Cy5 and EcN producing GFP, respectively. Images are representative of three independent biological samples. Scale bar: 10 μm. d Flow cytometric analysis of EcN and EcN conjugated with Cy5-labeled AS1411. e Percentages of conjugated EcN under different feed ratios. Error bars represent the standard deviation (n = 3 independent experiments). Data are presented as mean values ± SD. f Average binding number of aptamers on each bacterial quantified by calculating the difference of fluorescent intensity of the aptamer solution after reaction. Error bars represent the standard deviation (n = 3 independent experiments). Data are presented as mean values ± SD. g Bacterial viabilities of EcN, 2ApCB, 5ApCB, and 10ApCB by LB agar plate counting. Plates were incubated at 37 °C for 24 h prior to enumeration (n = 3 independent experiments). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed). ns: no significance. h Degradation kinetics of the conjugated AS1411 in 90% phosphate-buffered serum solution at 37 °C. Error bars represent the standard deviation (n = 3 independent experiments). Source data are provided as a Source Data file.

Results

Preparation and characterization of ApCB

By amide condensation, aminated AS1411 was linked to the carboxyl group of N-acetylmuramic acid (Fig. 1a), which extensively exists in the cell wall of Gram-negative bacteria and shows higher reactivity than other carboxyl groups from glutamate or aspartate residues3537. With the help of 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDC) and N-hydroxysuccinimide (NHS)38, ApCB were prepared by co-incubating Escherichia coli Nissle 1917 (EcN) with AS1411 in phosphate-buffered saline (PBS) at room temperature for 3 h and the resulting bacteria were purified simply by centrifugation. To enable the measurement by laser scanning confocal microscopy (LSCM) and flow cytometry, AS1411 labeled with fluorochrome Cyanine5 (Cy5) at 5ʹ end of the sequence was used to prepare ApCB. As visualized in Fig. 1c, LSCM images showed that EcN expressing green fluorescent protein (GFP) was efficiently decorated with AS1411 (red) under the experimental condition. Successful decoration with AS1411 was further confirmed by flow cytometric analysis. The mean fluorescence intensity of ApCB was around ten times higher than that of EcN (Supplementary Fig. 1).

A given amount of 1 × 108 colony-forming units (CFU) of EcN were incubated with 0, 2, 5, and 10 nmol of Cy5-labeled AS1411, which were termed as EcNCy5, 2ApCBCy5, 5ApCBCy5, and 10ApCBCy5, respectively. Then, the resulting bacteria were analyzed by flow cytometry. As expected, the fluorescence signals increased with the concentration of AS1411, as revealed clearly by a continuous shift of the curve to higher intensity (Fig. 1d, e). To calculate the number of grafted aptamers per cell, EcN conjugated with different concentrations of Cy5-labeled AS1411 was detected by fluorescence spectrophotometer. As illustrated in Fig. 1f, the quantities of AS1411 conjugated on the surface of 2ApCBCy5, 5ApCBCy5, and 10ApCBCy5 were calculated to be 0.7 × 105, 2.8 × 105, and 5.7 × 105 aptamers per cell, respectively.

To investigate whether the preparation procedure and the conjugated aptamers had toxic side effects on bacterial viability, the growth of ApCB was assessed using plate counting. Serial dilutions of EcN, 2ApCB, 5ApCB, and 10ApCB were prepared and then spread onto Luria Bertani (LB) agar plates. After incubation at 37 °C for 24 h, the viability of ApCB was determined by recording the number of bacterial colonies. As shown in Fig. 1g, in contrast to EcN, 2ApCB, 5ApCB, and 10ApCB displayed no notable difference in colony number, verifying the uninfluenced bacterial viability after conjugation. In addition, the serum tolerance of an aptamer-based therapeutic agent is critical for in vivo applications39. We speculated that the conjugation of aptamers on the surface of bacteria could largely increase the steric hindrance towards the enzymatic hydrolysis of AS1411 by nucleases40. To demonstrate this hypothesis, the stability of aptamers decorated on EcN was monitored by tracking the fluorescence intensity of Cy5-labeled AS1411. ApCBCy5 was analyzed by flow cytometry after incubation with 10% fetal calf serum in PBS at 37 °C for the predetermined time points. On the basis of our previous report, more than 60% of free AS1411 was found to be rapidly degraded after 48 h incubation33. Extraordinarily, the stability of AS1411 grafted to the surface of EcN was greatly improved under the same experimental condition, with more than 70% of the conjugated aptamers remaining intact (Fig. 1h).

Increased binding of ApCB with cancer cells

CTL, a scrambled oligonucleotide with the same number of bases as AS1411 but without secondary structure, was used as a control. To examine the role of attached AS1411 on the invasion of EcN to cancer cells, cellular binding efficiencies of PBS, EcNGFP, CTLGFP, 2ApCBGFP, 5ApCBGFP, and 10ApCBGFP were assessed by using 4T1 cells, a cell line that overexpresses nucleolin (Supplementary Fig. 2a). LSCM imaging showed that the attachment of AS1411 to the cell surface could strengthen the binding of EcN with 4T1 cells (Fig. 2a). In accordance with the result of confocal imaging, flow cytometric analysis indicated that the binding efficiency increased with the grafting density of AS1411 increasing from 0.5 × 105 to 2.8 × 105 aptamers per cell, while decreased with further increasing the number to 5.5 × 105 (Fig. 2b). Under the same culture condition, the percentages of 4T1 cells bound with EcN after incubation with PBS, EcNGFP, CTLGFP, 2ApCBGFP, 5ApCBGFP, and 10ApCBGFP for 2 h were about 0.2%, 5.5%, 4.5%, 15%, 50%, and 30%, respectively (Supplementary Fig. 2b). These results demonstrated that decoration with aptamers could promote the interaction of bacteria with targeting cancer cells via specific ligand−receptor recognition, which depended on the grafting density.

Fig. 2. Binding of ApCB with 4T1 cells.

Fig. 2

a Representative LSCM images of 4T1 cells after incubation with PBS, EcNGFP, CTLGFP, 2ApCBGFP, 5ApCBGFP, and 10ApCBGFP at 37 °C for 2 h, respectively. Cells were rinsed with PBS before observation. Green channel means EcN producing GFP. Images are representative of three independent biological samples. Scale bar: 10 µm. b Flow cytometric analysis of the co-incubated 4T1 cells. Flow plots are representative of three independent biological samples. Source data are provided as a Source Data file.

To directly visualize the binding of ApCB with cancer cells, 4T1 cells after co-incubation with EcN and 5ApCB were observed by scanning electron microscopy (SEM), respectively (Fig. 3a). Representative SEM images showed that more bacteria were attached to the surface of 4T1 cells after culture with 5ApCB instead of EcN, which was consistent with the results of flow cytometric analysis. Flow cytometric analysis suggested that there was no significant difference in fluorescence intensity between the binding of 293T cells with EcNGFP and 5ApCBGFP (Fig. 3b, c). Meanwhile, LSCM images displayed that the binding efficiency of 5ApCBGFP with 293T cells was similar to that of EcNGFP, which exhibited limited bacteria attaching onto the surface of 293T cells (Fig. 3d). Moreover, to further assess the binding efficiency of ApCB with cancer cells in vivo, a 4T1 tumor model was developed and the obtained tumor-bearing mice were intravenously dosed with PBS and 1 × 107 CFU of EcN or 5ApCB, respectively. Tumor tissues were sampled and stained with both FITC-labeled anti-Escherichia coli and 4ʹ,6-diamidino-2-phenylindole (DAPI) at 12 h post injection (Fig. 3e).

Fig. 3. Specific binding of ApCB with cancer cells.

Fig. 3

a Representative SEM images of 4T1 cells after incubation with EcN and 5ApCB at 37 °C for 2 h, respectively. Bacteria were circled by a red dotted line. Images are representative of three independent biological samples. Scale bar: 5 µm. b Flow cytometric analysis of 293T cells after co-incubation with EcNGFP and 5ApCBGFP at 37 °C for 2 h, respectively. c Percentages of 293T cells binding with EcNGFP and 5ApCBGFP after co-incubation at 37 °C for 2 h, respectively. Error bars represent the standard deviation (n = 3 independent experiments). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed). ns: no significance. d Typical LSCM images of 293T cells after incubation with EcNGFP and 5ApCBGFP at 37 °C for 2 h, respectively. Cells were rinsed with PBS before observation. Green channel means EcN producing GFP. Images are representative of four independent biological samples. Scale bar: 10 µm. e Confocal images of tumor tissues sectioned at 12 h after intravenous injection of 1 × 107 CFU bacteria. Green and blue indicate EcN stained with FITC-labeled anti-Escherichia coli and nuclei stained with DAPI. Images are representative of three independent biological samples. Scale bar: 20 µm. Source data are provided as a Source Data file.

The tumor-targeted colonization of ApCB was determined by tumor imaging using a 4T1 tumor-bearing mouse model. Based on the result of in vitro assay, 5ApCB with the highest binding efficiency was used to evaluate the tumor accumulation. To enable visual tracking, LuxCDABE engineered 5ApCBLux were intravenously injected into the tumor-bearing mice through tail vein, while PBS, CTLLux, and EcNLux without surface aptamers were administered as controls. At the indicated time points post injection, the dosed mice were observed by in vivo imaging system (IVIS). As shown in Fig. 4a, the average luminescence signals in the tumors obtained by IVIS increased continuously with the time interval increasing from 12 to 60 h post administration. Importantly, at each time point, the average intensity of luminescence signals from the tumor site in mice injected with 5ApCBLux was significantly higher than those of mice treated with PBS, CTLLux, and EcNLux, respectively (Fig. 4b). Particularly, at 60 h after injection, the relative signal intensity was 8-fold higher than those of the CTLLux and EcNLux groups. To quantify the tumor colonization, the biodistribution of the bacteria was examined at the endpoint of the animal study. After euthanasia, the heart, kidney, liver, lung, spleen, and tumor tissues were collected and then homogenized before spreading onto LB agar plates for bacterial counting. Accordingly, the bacterial number in the tumor tissue sectioned from mice injected with 5ApCB reached four times higher than those of the EcN and CTL groups (Fig. 4c). In contrast to the major organs, the distribution of bacteria in the tumor tissue was extraordinary, with around 99.9% of total bacteria colonizing inside the tumor. The overwhelming aggregation of EcN within the tumor tissue was ascribed to their preference for hypoxic, eutrophication, and the immunosuppressive microenvironment of tumors41. To prove this assumption, the localization of EcN within the 4T1 tumor at a relatively short period of time after injection was quantified by plate counting. As confirmed in Fig. 4d, the number of bacteria localized into the tumor at 12 h after dosing with 5ApCB achieved 1.75 × 107 CFU per gram tissue, which was 2-fold higher than that of unconjugated or CTL-decorated EcN. Namely, surface conjugation indeed offered a greater opportunity to localize tumor sites through a ligand−receptor interaction between aptamer-decorated bacteria and the tumor cells. In addition, routine blood and cytokine assays were performed to evaluate the potential side effects of 5ApCB. The values of white blood cell (WBC) and platelet (PLT) as well as the levels of interleukin-6 (IL-6) and interleukin-10 (IL-10) in mice dosed with 5ApCB were found to be similar to those of PBS group at 60 h post injection, implying the satisfied tolerance (Supplementary Fig. 3).

Fig. 4. Biodistribution of ApCB in tumor-bearing mice.

Fig. 4

a IVIS imaging of 4T1 tumor-bearing mice at 12, 36, and 60 h after tail vein injection with PBS or 1 × 107 CFU EcNLux, CTLLux, and 5ApCBLux, respectively. b Average intensity of luminescence signals from the tumor site at 12, 36, and 60 h after injection. Luminescence intensity (atomic units, a.u.) was quantified by a Caliper IVIS Lumina II system using a region-of-interest drawn to encompass the entire solid tumor (n = 4). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: 0.4115 for 5ApCB vs PBS, 0.5746 for 5ApCB vs EcN, 0.6742 for 5ApCB vs CTL at 12 h; 0.0370 for 5ApCB vs PBS, 0.0339 for 5ApCB vs EcN, 0.0287 for 5ApCB vs CTL at 36 h;0.0081 for 5ApCB vs PBS, 0.0131 for 5ApCB vs EcN, 0.0132 for 5ApCB vs CTL at 60 h. ns: no significance. c Biodistribution of bacteria in the major organs and tumor tissue of mice at 60 h after tail vein injection with PBS or 1 × 107 CFU of EcN, CTL, and 5ApCB, respectively. Numbers of bacteria were quantified by plate counting. Data are presented as mean values ± SD (n = 4). Significance was assessed using Student’s t test (two-tailed), giving p values: 0.0739 for 5ApCB vs PBS, 0.1990 for 5ApCB vs EcN, 0.1831 for 5ApCB vs CTL in heart; 0.1165 for 5ApCB vs PBS, 0.3731 for 5ApCB vs EcN, 0.9173 for 5ApCB vs CTL in liver; 0.0536 for 5ApCB vs PBS, 0.2886 for 5ApCB vs EcN, 0.8260 for 5ApCB vs CTL in spleen; 0.1069 for 5ApCB vs PBS, 0.4269 for 5ApCB vs EcN, 0.3103 for 5ApCB vs CTL in lung; 0.2162 for 5ApCB vs PBS, 0.8439 for 5ApCB vs EcN, 0.5253 for 5ApCB vs CTL in kidney; 0.0012 for 5ApCB vs PBS, 0.0138 for 5ApCB vs EcN, 0.0108 for 5ApCB vs CTL in tumor. ns: no significance. d Numbers of EcN colonized within the tumor at 12 h after injection. Error bars represent the standard deviation (n = 3). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: 0.0027 for 5ApCB vs PBS, 0.0251 for 5ApCB vs EcN, 0.0390 for 5ApCB vs CTL. *p < 0.05, **p < 0.01. Source data are provided as a Source Data file.

Enhanced anticancer efficacy of ApCB

In contrast to EcN, decoration with AS1411 resulted in a comparable increment in the binding of VNP with 4T1 cells (Supplementary Figs. 4, 5, and 6). Mouse subcutaneous tumor model of 4T1 was employed and the obtained tumor-bearing mice were randomly divided into three groups (n = 5) that were received with different treatments including PBS, VNP, and 5ApCB. It has been reported that a single intravenous injection of VNP at a dose ranging from 1 × 104 to 1 × 106 CFU per mouse is tolerable42. Thus, each mouse in VNP and 5ApCB groups was intravenously injected with 5 × 105 CFU of bacteria at day 0. A tumor inhibition study by concisely assessing tumor volume demonstrated that both VNP and 5ApCB could inhibit tumor growth compared to the PBS group (Fig. 5a, b). The variation of bodyweight recorded every other day after treatment revealed the limited side effects of the bacteria under the experimental dosage, as displayed in Fig. 5c.

Fig. 5. In vivo therapeutic efficacy of ApCB.

Fig. 5

a Relative tumor growth after different treatments (n = 5). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: 0.000005 for 5ApCB vs PBS; 0.00002 for 5ApCB vs VNP. b Representative photographs of the tumor tissues harvested from mice at the end of the treatment. Scale bar: 1 cm. c Variation of bodyweight during each treatment (n = 5). Data are presented as mean values ± SD. Percentage of d Ki67 (gated on CD3+ cells) inside the tumors after treatment (n = 4). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: 0.00003 for 5ApCB vs PBS; 0.0411 for 5ApCB vs VNP. e Flow cytometric analysis of the population of CD4+ T cells (gated on CD3+ cells) within the tumors after treatment (n = 4). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: 0.0002 for 5ApCB vs PBS; 0.0088 for 5ApCB vs VNP. Percentage of f IFN-γ (gated on CD3+ cells) inside the tumors after treatment (n = 4). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: 0.00009 for 5ApCB vs PBS; 0.0192 for 5ApCB vs VNP. Images of tumor tissues stained with g TNF-α (green) and h TUNEL (green). Blue indicates nuclei stained with DAPI. Images are representative of three independent biological samples. Scale bar: 50 μm. i Typical H&E staining images of the sectioned tumors after different treatments. Necrotic areas were circled by a white dotted line. Images are representative of three independent biological samples. Scale bar: 200 μm. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Source data are provided as a Source Data file.

To disclose the bacterial-mediated immune responses, the activation of T cells in the tumor tissue was analyzed at the end of the treatment. Nuclear nonhistone protein Ki67 was used as a marker to detect the infiltration of CD3+ T cells in the tumor43. As shown in Fig. 5d, Supplementary Figs. 7a and 10, the proliferation of CD3+ T cells in mice treated with 5ApCB presented an apparent increase in contrast to both PBS and VNP groups. Moreover, treatment with 5ApCB significantly elevated the percentage of CD3+CD4+ T cells (Fig. 5e, Supplementary Figs. 7b and 10), which suggested that the aptamer-decorated bacteria could boost more efficient tumor infiltration of immunologic effector cells. The percentage of tumor cytokine interferon-γ (IFN-γ) and tumor necrosis factor-α (TNF-α), which predominantly regulates the cell-mediated immune responses44, was further examined and the results showed a striking increase in mice treated with 5ApCB (Fig. 5f and g, Supplementary Figs. 7c and 8a). The upgraded levels of TNF-α and IFN-γ in the tumor tissue indicated the activation of antitumor immune responses by 5ApCB treatment. Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining depicted the highest level of tumor cell apoptosis induced by 5ApCB (Fig. 5h and Supplementary Fig. 8b). In addition, hematoxylin and eosin (H&E) staining exhibited prominent necrosis of the tumor tissues after treatment with the conjugated bacteria (Fig. 5i). Taken together, the inhibition of tumor growth could be attributed to the aptamer-mediated enhanced localization in the tumor site and the bacterial associated activation of antitumor immune responses.

Versatility of ApCB

TLS11a-based ApCB (T-ApCB) was synthesized similarly by co-incubating amino-functionalized TLS11a with VNP (Fig. 6a). Details for the preparation of T-ApCB were described in the Supplementary Information. Correspondingly, T-5ApCB was fabricated by incubation of 1 × 108 CFU of VNP with 5 nmol of TLS11a. Flow cytometric analysis showed that H22 cells co-incubated with T-5ApCBGFP presented stronger fluorescence intensity than those cultivated with VNPGFP, demonstrating strengthened affinity of conjugated bacteria to bind with cancer cells (Fig. 6b and Supplementary Fig. 9). We next evaluated the antitumor efficacy of the resulting T-5ApCB in H22 tumor-bearing mice. After a single intravenous injection of PBS, 5 × 105 CFU of VNP or T-5ApCB at day 0 (tumor size ∼100 mm3), both the tumor size and bodyweight of the treated mice were recorded. As plotted in Fig. 6c, d, T-5ApCB group appeared a significant inhibition of tumor growth in comparison with PBS and VNP groups, which could be explained by that surface conjugation of aptamers increased the intratumoral localization of bacteria. Survival rate of different groups further validated that treatment with T-5ApCB endowed H22 tumor-bearing mice with a significantly extended survival period, as reflected by that near 70% of the treated mice survived successfully in 36 days (Fig. 6e). While none of the mice dosed with PBS or VNP could survive under the same conditions. In addition, the variation of bodyweight during treatment revealed that administration with bacteria slightly dropped mouse bodyweight, which recovered rapidly to the same level of PBS group (Fig. 6f). The slight fluctuation in bodyweight implied the limited side effects of 5ApCB at the experimental dosage.

Fig. 6. Implementation of ApCB with aptamer TLS11a in an H22 tumor-bearing model.

Fig. 6

a Preparation of ApCB by conjugating VNP with TLS11a via amide condensation. b Flow cytometric analysis of H22 cells after co-incubation with PBS, VNP, and T-5ApCB respectively at 37 °C for 1 h. Flow plots are representative of three independent biological samples. c Digital photos of mice at day 12 after treatment. Tumors were marked in red circles. H22 tumor-bearing mice (inoculated with 1 × 106 carcinoma cells) were randomly divided into three groups and intravenously injected with PBS and 5 × 105 CFU of VNP or T-5ApCB upon tumor size reaching ∼100 mm3 (defined as day 0). d Relative tumor growth after different treatments (n = 5). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: 0.000002 for T-5ApCB vs PBS; 0.0052 for T-5ApCB vs VNP. e Survival curves of H22 tumor-bearing mice after different treatments (n = 7). Data are presented as mean values ± SD. Significance was assessed using Student’s t test (two-tailed), giving p values: p < 0.0001 for T-5ApCB vs PBS; 0.0017 for T-5ApCB vs VNP. f Variation of bodyweight during treatment. **p < 0.01, ****p < 0.0001. Source data are provided as a Source Data file.

Discussion

In view of the specificity to bind with nucleolin overexpressing on the membrane of various cancer cells45, we selected aptamer AS1411 to prepare ApCB. On the other hand, as a well-known probiotic bacterium, EcN was chosen as a model strain due to its ability to colonize in different tumors46. Both LSCM images and flow cytometric analysis indicated that bacteria were conjugated with Cy5-labeled AS1411 by amide condensation. Given that the surface density of aptamers could influence the binding ability of the modified bacteria47, we then investigated whether the number of grafted aptamers could be tuned by varying the feed ratio. The results suggested a concentration-dependent conjugation, which meant that the grafting density of AS1411 could be controlled by changing the feed ratio. The number of aptamers decorated on bacteria was quantified by calculating the difference of fluorescent intensity of the aptamer solution after the reaction. In good agreement with the result of flow cytometric analysis, the number of attached aptamers increased with the incubation concentration of AS1411. Both the preparation procedure and the conjugated aptamers displayed negligible toxic side effects on bacterial viability. Meanwhile, the conjugation could strengthen the resistance of aptamers against serum-mediated degradation, suggesting the potential of ApCB to be utilized in vivo. With the guidance of surface-anchored aptamers, we expected that ApCB could present specific affinity to cancer cells overexpressing the corresponding receptors. Interestingly, incubation with 5ApCBGFP visualized the highest number of bound EcN on the cell surface. Although there was much more grafted AS1411 on EcN surface, 10ApCBGFP bound less efficiently than 5ApCBGFP. This might be ascribed to the influence of grafting density, such as the accessibility of adjacent aptamers as well as the steric effects of neighboring aptamers on the surface48. To verify the specific binding with cancer cells, EcN and 5ApCB were separately added to the culture medium of 293T cells, a cell line that presents low nucleolin expression49,50. The results indicated that the attachment of AS1411 onto bacteria played a critical role for ApCB to specifically bind with cancer cells. Moreover, mice injected with 5ApCB presented a largely increased number of bacteria binding with cancer cells compared to EcN, further demonstrating the specific and enhanced binding of bacteria by conjugation with aptamers on the surface. Having confirmed the presence of exogenous function that could specifically bind with tumor cells after conjugation, we next turned our attention to evaluate the ability of ApCB to target the tumor site. In comparison to undecorated or CTL-decorated EcN, the notably enhanced accumulation within the tumor tissue after injection with 5ApCB was attributed to the improved localization of bacteria following administration, which was resulted from the specific binding with tumor cells.

To validate the versatility of our approach, we translated the surface conjugation of aptamers to VNP, a well-known strain that has been widely used for tumor biotherapy due to its high immunogenicity51. VNP was similarly conjugated with AS1411 and the surface density of aptamers was optimized by varying feed ratios. We found that the 5ApCB group showed significantly enhanced antitumor efficacy in comparison with the VNP group, suggesting that the increased tumor localization enabled by surface conjugation of aptamers played an important role in tumor biotherapy. Furthermore, although the bodyweight of mice dropped slightly after injection with the bacteria, the mice in both the VNP and 5ApCB groups recovered rapidly as reflected by the return of the bodyweight to the same level of the PBS group. It has been reported that the colonization of Salmonella can provoke the immunosuppressive microenvironment of tumors and elicit antitumor immunity52. Our data suggested that treatment with 5ApCB significantly elevated the cell-mediated immune responses in contrast to both the PBS and VNP groups. To explore the generality of this strategy as a versatile platform for different aptamers, TLS11a, an aptamer that is identified in 2008 using a modified whole-cell SELEX (systematic evolution of ligands by exponential enrichment) procedure and shows a high binding affinity to a given hepatocellular carcinoma cell line, was used for further investigation53. The corresponding tumor model of H22 hepatocellular carcinoma was developed to evaluate the effectiveness of conjugating aptamers to bacterial surface54,55. The significant inhibition of tumor growth in the T-5ApCB group proposed the universality of this approach to prepare diverse ApCB and verified the ability of ApCB to increase the localization of conjugated bacteria in solid tumors for enhanced biotherapy. The levels of inflammatory reactions caused by bacteria were similar to those of the PBS group at 60 h post injection. Indeed, several clinical trials of bacteria-mediated tumor therapy have completed or are currently ongoing5660, implying the safety of bacteria-mediated tumor therapy.

In summary, we have reported a strategy of conjugating aptamers to bacterial surface for endowing bacteria with tumor-specific accumulation following administration. The conjugation is based on a single-step and cytocompatible amidation procedure, which is implementable to diverse Gram-negative bacteria. The grafting density of aptamers on the bacterial surface can be simply controlled by tuning the feed ratio and the attachment is capable to increase the resistance of anchored aptamers against degradation due to the increase of steric hindrance towards the enzymatic hydrolysis by nucleases. With an optimized number of 2.8 × 105 aptamers per cell, the conjugated bacteria exhibit the highest specific affinity with tumor cells in vitro. Strikingly, the optimal bacteria reached near 2- and 4-fold higher colonization in tumor tissue at 12 and 60 h after systemic administration in vivo. The therapeutic value in tumor biotherapy has been validated by injection with aptamer-conjugated attenuated Salmonella in both 4T1 and H22 tumor-bearing mice. As expected, the decorated bacteria display significantly enhanced antitumor efficacy, with effective infiltration of immunologic effector cells and expression of tumor cytokines inside the tumor. This work discloses how bacterial bioactivities can be manipulated by surface conjugation with aptamers. With the potential to address the low efficacy associated with bacterial-based therapy, we anticipate the application of this strategy as a versatile platform to develop various bacterial therapeutics for enhanced tumor treatment.

Methods

Materials and strains

1-Ethyl-3(3-dimethylaminopropyl) carbodiimide (EDC) and N-hydroxysuccinimide (NHS) were purchased from Adamas-beta (Shanghai, China). Roswell Park Memorial Institute (RPMI) 1640 medium antibiotic/anti-mycotic solution and phosphate-buffered saline (1× PBS) were provided by Sigma-Aldrich (USA). AS1411 (5ʹ-GGT GGT GGT GGT TGT GGT GGT GGT GGT TTT TTT TTT TT-NH2-3ʹ), TLS11a (ACA GCA TCC CCA TGT GAA CAA TCG CAT TGT GAT TGT TAC GGT TTC CGC CTC ATG GAC GTG CTG TTT-NH2-3ʹ), and CTL (5ʹ-CCT CCT CCT CCT TCT CCT CCT CCT CCT TTT TTT TTT TT-NH2-3ʹ) were synthesized by Tsingke Biological Technology Co., Ltd (Shanghai, China). EcN and Salmonella typhimurium were purchased from China General Microbiological Culture Collection Center (GMCC, China). 4T1 mammary gland carcinoma cell line and 293T cell line were obtained from American Type Culture Collection (ATCC, CRL-2539; CRL-3216) and H22 hepatocellular carcinoma cell line was purchased from BeNa Culture Collection (BNCC) (catalog: BNCC338327). Both cell lines were cultured in Dulbecco’s modified Eagle medium (Sigma, USA) supplemented with 10% (v/v) inactivated fetal bovine serum (FBS) (Sigma, USA) and 1% (v/v) antibiotic/anti-mycotic solution (Sigma, USA) at 37 °C in an incubator with 5% CO2. Regular mycoplasma evaluations were performed of the cell culture environment to ensure the absence of mycoplasma contamination. Plasmids pBBR1MCS2-Tac-GFP, pMD18-luxCDABE and all other reagents were purchased from domestic suppliers and used as received.

Animals

BALB/c female mice (6−8 weeks, 18−20 g) were provided by Jiesijie laboratory animal center (Shanghai, China). All mice were housed and fed under 12/12 h dark/light cycle and specific pathogen-free (SPF) conditions (ambient temperature (25 °C) and humidity (55%). The protocol of the animal study was reviewed and approved by the Institutional Animal Care and Use Committee of Shanghai Jiao Tong University School of Medicine. Mice were euthanized when the tumor size reached more than 2000 mm3. The maximal tumor size/burden was not exceeded.

Characterization

Photoluminescence (PL) spectra were measured on a FluoroMax-4 spectro-fluorometer. The fluorescence images of cells were characterized by confocal laser scanning microscopy (CLSM, Leica, SP8). Flow cytometric (Beckman CytoFlex) analysis was conducted for quantitative detection of cellular fluorescence. In vivo imaging of mice was performed by in vivo imaging system (Caliper LifeSciences, USA). Morphology observation was performed on a scanning electron microscopy (SEM) (Sirion 200, USA).

Growth of bacteria

EcN carrying pBBR1MCS2-Tac-GFP, or pMD18-luxCDABE were grown at 37 °C overnight in 10 mL liquid LB medium with a supplement of 50 μg/mL gentamicin or kanamycin. Salmonella typhimurium was grown at 37 °C in tryptic soy broth (TSB) medium. Overnight culture was diluted 1:50 (v/v) to fresh LB liquid medium and grown at 37 °C for 2−3 hours. Bacteria were collected by centrifugation at 6000 × g for 1 min and resuspended in ice-cold PBS. Bacterial counts were determined by making dilutions of bacterial suspension, culturing them on LB agar plates at 37 °C overnight and counting the colony-forming units (CFU).

Preparation of ApCB

Amino-functionalized aptamer was linked on the surface of bacteria by amide condensation. Briefly, 1 × 108 of bacterial cells were dispersed in 1 mL PBS solution, and 0.1 mL of amino-functionalized aptamer (0.05 μmol/mL) was added into the bacterial suspension together with 0.55 mg EDC and 0.65 mg NHS at room temperature. In amide condensation, EDC was able to activate the carboxyl group forming an unstable O-acylisourea. Adding NHS to the reaction mixture could stabilize the activated carboxyl groups and subsequently improve the conversion of amide condensation. After stirring for 3 h, the modified bacteria were separated by centrifugation (6000 × g, 1 min) and washed with PBS three times.

Calculation of the average number of aptamers per bacterial

First, several Cy5-labeled AS1411 solutions with certain concentrations were prepared. Then, a standard curve was established by plotting fluorescence intensity against Cy5-labeled AS1411 concentrations with the help of photoluminescence spectroscopy using excitation at 647 nm and emission at 670 nm. After determining the regression equation for the standard curve, the concentrations of free Cy5-labeled AS1411 could be calculated after the reaction. The average number of aptamers per bacterial cell was calculated as follows:

Navg=((c0vcav)×NA)/Na

where Navg is the average number of aptamers per bacterial cell, c0 is the concentration of free Cy5-labeled AS1411 before reaction, ca is the concentration of free Cy5-labeled AS1411 after reaction, v is the volume that the reactions took place in, NA is the Avogadro constant 6.02 × 1023, Na is the total number of bacterial cells.

Serum stability

To investigate serum stability, 1 × 109 CFU ApCB with Cy5-labeled AS1411 were suspended in 5 mL PBS supplemented with 10% FBS at 37 °C for predetermined time points including 0, 1, 4, 8, 12, 24, and 48 h. At the end of each time point, 100 µL of each sample was withdrawn and centrifuged. After rinsing with PBS, the final samples were resuspended in 100 µL PBS and placed in quartz cuvettes. The fluorescence emission intensity was measured using excitation at 647 nm and emission at 670 nm at room temperature. The concentrations of conjugated aptamers were calculated by using the regression equation obtained from the standard curve.

Cellular uptake

Cells were seeded at a density of 2 × 105 cells per confocal dish in 1 mL RPMI-1640 medium with 10% FBS and antibiotics. 4T1 cells were incubated for 24 h at 37 °C in 5% CO2. Then, the medium was replaced by fresh 1640 medium and treated with equal volume of EcN or ApCB at 37 °C for 2 h. Subsequently, after being washed with PBS for three times, the cells were viewed using LSCM. For quantitative analysis of the uptake behavior, the cells were digested and collected for flow cytometric analysis. To directly observe the binding of bacteria with cancer cells, the co-incubated cells were fixed with 4% glutaraldehyde in 0.5 mL of PBS at 4 °C for 40 min. Next, the cells were dehydrated in a series of ethanol/water solution with increasing ethanol content from 30 to 100%. Finally, the associated ethanol in the cells was removed by freeze-drying.

Subcutaneous tumor model

The experiments were performed on female BALB/C mice (6−8 weeks) bred under specific pathogen-free (SPF) conditions for 6 days. For both 4T1 and H22 tumor models, 1 × 106 cells in 100 μL of serum-free 1640 medium were injected subcutaneously into the right hind leg of each BALB/C mouse. The tumor volume of each mouse was measured by caliper and calculated using the formula: (width)2 × length × 0.5.

In vivo binding of bacteria with cancer cells

To develop a 4T1 tumor-bearing mouse model, 1 × 106 cells in 100 μL of serum-free 1640 medium were injected into the right hind leg of each Balb/c nude mouse. The inoculated mice were grouped randomly into three groups, including PBS, EcN (1 × 107 CFU), and 5ApCB (1 × 107 CFU) after the size of tumors reached ~200 cm3. A volume of 100 μL of each above-mentioned solution was administered through the tail vein. For bacterial staining, mice were euthanized to sample the tumor tissues at day 12 post injection. The samples were fixed in 4% paraformaldehyde fixative and then transferred to sucrose-containing PBS. After overnight immersion at 4 °C, the samples were cut into slides and incubated with FITC-labeled anti-Escherichia coli antibody in PBS containing 0.1% normal serum for 1−2 h at room temperature in dark. Cell nuclei were stained by 4ʹ,6-diamidino-2-phenylindole (DAPI). After washing with PBS for three times, the samples were mounted for imaging.

Biodistribution

To study the in vivo biodistribution of EcN and 5ApCB, the mice bearing 4T1 tumor were injected via the tail vein with 0.1 mL of normal saline containing 1 × 107 CFU of EcN or 5ApCB. Four mice were used for each group. All the mice were imaged by in vivo imaging system at the indicated time points and then sacrificed for tissue collection. The liver, spleen, lung, heart, kidney, and tumor were sampled and homogenized in a glass homogenizer. Equal weight of each homogenate was diluted serially with LB and 50 μL of each dilution was spread onto LB agar plates with antibiotics before overnight incubation at 37 °C for bacterial counting.

Tumor imaging

To develop a 4T1 tumor-bearing mouse model, 1 × 106 cells in 100 μL of serum-free 1640 medium were injected into the right hind leg of each Balb/c nude mouse. The inoculated mice were grouped randomly after the tumors reached ~200 cm3 (n = 4 for each group). To examine the accumulation of EcN and 5ApCB in the tumor, the tumor-bearing mice were intravenously injected with 1 × 107 CFU of EcN or 5ApCB expressing LuxCDABE. Fluorescence imaging was carried out at 12, 48, and 60 h post injection. All the mice were imaged by in vivo imaging system and sacrificed at the predetermined time points for further analysis. All images were analyzed by Caliper IVIS Lumina II system. In each group, region-of-interests (ROIs) were defined for the tumor tissue. The average intensity of tumor ROIs was calculated and the intensity of background within this ROI was subtracted for each image frame.

In vivo bacterial-mediated cancer therapy and histological analysis

Tumor-bearing mice were divided into three groups after the size of the tumors reaching ∼100 cm3 (n = 5 for each group), including PBS, VNP (5 × 105 CFU) and 5ApCB or T-5ApCB (5 × 105 CFU). 100 μL of each above-mentioned solution was administered through the tail vein. The size of tumor was measured every other day with a digital caliper. For histology analysis, the tumors were harvested, fixed in 4% paraformaldehyde solution, embedded in paraffin, and then stained with hematoxylin and eosin (H&E). Meanwhile, the tumor tissues of each group were collected for immunofluorescence staining analysis of TUNEL and TNF-α.

Flow cytometric assay for immune responses

Tumor tissues were harvested and treated with 1 mg/mL collagenase I (Gibco) for 1 h and ground using the rubber end of a syringe. Cells were filtered through nylon mesh filters and washed with PBS. Cells were further stained with corresponding fluorochrome-conjugated antibodies. To analyze the T-cell subsets in draining tumor, single-cell suspensions prepared from these samples were examined by flow cytometry. The following primary antibodies were used: PerCP-Cyanine5.5-labeled anti-CD3 (BioLegend, catalog: 100328), APC-labeled anti-CD4 (BioLegend, catalog: 100412), PE-Cy7-labeled anti-IFN-γ (BioLegend, catalog: 505826), and FITC-labeled anti-Ki67 (eBioscience, catalog: 11-5698-82). Antibodies were used at a dilution of 1:200. Data analysis was acquired on a CytoFLEX and analyzed using CytExpert (Beckman Coulter, USA) and FlowJo (TreeStar, USA) software.

Statistics and reproducibility

All data were presented as means ± standard deviation (SD) from at least three independent runs. Statistical analysis was performed using Prism 8.0 (GraphPad, USA). Unpaired two-tailed Student’s t test (two-tailed) was used for comparison between two groups. In all cases, differences were considered statistically significant if p < 0.05 (*p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001).

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Supplementary information

Peer Review File (424.4KB, pdf)
Reporting Summary (85.1KB, pdf)

Acknowledgements

This work is supported by the National Key Research and Development Program of China (SQ2021YFA090162, J.L.), and the National Natural Science Foundation of China (21875135, J.L.; 32101218, Z.C.; 52101289, R.L.).

Source data

Source Data (34KB, xlsx)

Author contributions

J.L. and W.T. supervised the project. J.L. conceived and designed the experiments with Z.G. Z.G., Z.C., R.L. and K.L. performed all experiments. All authors analyzed and discussed the data. Z.G. and J.L. wrote the paper.

Data availability

All data are available within the article or Supplementary informationSource data are provided with this paper.

Competing interests

The authors declare no competing interests.

Footnotes

Peer review information Nature Communications thanks Kirill Afonin and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-021-26956-8.

References

  • 1.Busch W. Aus der Stizung der medizinischen section vom 13. November 1867. Berl. Klin. Wochenschr. 1868;5:137. [Google Scholar]
  • 2.Coley WB. The treatment of malignant tumors by repeated inoculations of erysipelas. With a report of ten original cases. 1893. Clin. Orthop. Relat. Res. 1991;262:3–11. [PubMed] [Google Scholar]
  • 3.Huo M, et al. Photosynthetic tumor oxygenation by photosensitizer-containing cyanobacteria for enhanced photodynamic therapy. Angew. Chem. Int. Ed. 2020;59:1906–1913. doi: 10.1002/anie.201912824. [DOI] [PubMed] [Google Scholar]
  • 4.Romero D. Oncolytic viruses prime antitumour immunity. Nat. Rev. Clin. Oncol. 2018;15:135–135. doi: 10.1038/nrclinonc.2018.15. [DOI] [PubMed] [Google Scholar]
  • 5.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. doi: 10.1038/s12276-019-0297-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hu Q, et al. Engineering nanoparticle-coated bacteria as oral DNA vaccines for cancer immunotherapy. Nano Lett. 2015;15:2732–2739. doi: 10.1021/acs.nanolett.5b00570. [DOI] [PubMed] [Google Scholar]
  • 7.Chen Q, et al. Bioengineering bacterial vesicle-coated polymeric nanomedicine for enhanced cancer immunotherapy and metastasis prevention. Nano Lett. 2020;20:11–21. doi: 10.1021/acs.nanolett.9b02182. [DOI] [PubMed] [Google Scholar]
  • 8.Yi X, et al. Bacteria-triggered tumor-specific thrombosis to enable potent photothermal immunotherapy of cancer. Sci. Adv. 2020;6:eaba3546. doi: 10.1126/sciadv.aba3546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chen Q-W, et al. Self-mineralized photothermal bacteria hybridizing with mitochondria-targeted metal–organic frameworks for augmenting photothermal tumor therapy. Adv. Funct. Mater. 2020;30:1909806. [Google Scholar]
  • 10.Zheng DW, et al. Optically-controlled bacterial metabolite for cancer therapy. Nat. Commun. 2018;9:1680. doi: 10.1038/s41467-018-03233-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Zhou S, Gravekamp C, Bermudes D, Liu K. Tumour-targeting bacteria engineered to fight cancer. Nat. Rev. Cancer. 2018;18:727–743. doi: 10.1038/s41568-018-0070-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lee CH, Wu CL, Chen SH, Shiau AL. Humoral immune responses inhibit the antitumor activities mediated by Salmonella enterica serovar choleraesuis. J. Immunother. 2009;32:376–388. doi: 10.1097/CJI.0b013e31819d4ebc. [DOI] [PubMed] [Google Scholar]
  • 13.Stauber RH, et al. Small meets smaller: effects of nanomaterials on microbial biology, pathology, and ecology. ACS Nano. 2018;12:6351–6359. doi: 10.1021/acsnano.8b03241. [DOI] [PubMed] [Google Scholar]
  • 14.Fan J-X, et al. Bacteria-mediated tumor therapy utilizing photothermally-controlled TNF-α expression via oral administration. Nano Lett. 2018;18:2373–2380. doi: 10.1021/acs.nanolett.7b05323. [DOI] [PubMed] [Google Scholar]
  • 15.McKelvie ND, et al. Genetic detoxification of an aroA Salmonella enterica serovar Typhimurium vaccine strain does not compromise protection against virulent Salmonella and enhances the immune responses towards a protective malarial antigen. FEMS Immunol. Med. Microbiol. 2008;52:237–246. doi: 10.1111/j.1574-695X.2007.00368.x. [DOI] [PubMed] [Google Scholar]
  • 16.Chen W, et al. Bacteria-driven hypoxia targeting for combined biotherapy and photothermal therapy. ACS Nano. 2018;12:5995–6005. doi: 10.1021/acsnano.8b02235. [DOI] [PubMed] [Google Scholar]
  • 17.Wang S-B, et al. Bacteria-assisted selective photothermal therapy for precise tumor inhibition. Adv. Funct. Mater. 2019;29:1904093. [Google Scholar]
  • 18.Luo C-H, Huang C-T, Su C-H, Yeh C-S. Bacteria-mediated hypoxia-specific delivery of nanoparticles for tumors imaging and therapy. Nano Lett. 2016;16:3493–3499. doi: 10.1021/acs.nanolett.6b00262. [DOI] [PubMed] [Google Scholar]
  • 19.Liu L, et al. In situ photocatalyzed oxygen generation with photosynthetic bacteria to enable robust immunogenic photodynamic therapy in triple-negative breast cancer. Adv. Funct. Mater. 2020;30:1910176. [Google Scholar]
  • 20.Cao Z, Wang X, Pang Y, Cheng S, Liu J. Biointerfacial self-assembly generates lipid membrane coated bacteria for enhanced oral delivery and treatment. Nat. Commun. 2019;10:5783. doi: 10.1038/s41467-019-13727-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wang X, et al. Bioinspired oral delivery of gut microbiota by self-coating with biofilms. Sci. Adv. 2020;6:eabb1952. doi: 10.1126/sciadv.abb1952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Feng P, Cao Z, Wang X, Li J, Liu J. On-demand bacterial reactivation by restraining within a triggerable nanocoating. Adv. Mater. 2020;32:e2002406. doi: 10.1002/adma.202002406. [DOI] [PubMed] [Google Scholar]
  • 23.Pan C, et al. Polymerization-mediated multifunctionalization of living cells for enhanced cell-based therapy. Adv. Mater. 2021;33:2007379202007379. doi: 10.1002/adma.202007379. [DOI] [PubMed] [Google Scholar]
  • 24.Lin S, et al. Mucosal immunity-mediated modulation of the gut microbiome by oral delivery of probiotics into Peyer’s patches. Sci. Adv. 2021;7:eabf0677. doi: 10.1126/sciadv.abf0677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Cao Z, Cheng S, Wang X, Pang Y, Liu J. Camouflaging bacteria by wrapping with cell membranes. Nat. Commun. 2019;10:3452. doi: 10.1038/s41467-019-11390-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Li L, et al. Modulating aptamer specificity with pH-responsive DNA bonds. J. Am. Chem. Soc. 2018;140:13335–13339. doi: 10.1021/jacs.8b08047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wu Y, et al. Enhanced targeted gene transduction: AAV2 vectors conjugated to multiple aptamers via reducible disulfide linkages. J. Am. Chem. Soc. 2018;140:2–5. doi: 10.1021/jacs.7b08518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ouyang C, et al. Precision-guided missile-like DNA nanostructure containing warhead and guidance control for aptamer-based targeted drug delivery into cancer cells in vitro and in vivo. J. Am. Chem. Soc. 2020;142:1265–1277. doi: 10.1021/jacs.9b09782. [DOI] [PubMed] [Google Scholar]
  • 29.Zhou J, Rossi J. Aptamers as targeted therapeutics: current potential and challenges. Nat. Rev. Drug Discov. 2017;16:181–202. doi: 10.1038/nrd.2016.199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Liang H, et al. Functional DNA-containing nanomaterials: cellular applications in biosensing, imaging, and targeted therapy. Acc. Chem. Res. 2014;47:1891–1901. doi: 10.1021/ar500078f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sun H, et al. Oligonucleotide aptamers: new tools for targeted cancer therapy. Mol. Ther.- Nucl. Acids. 2014;3:e182. doi: 10.1038/mtna.2014.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Yang Q, et al. Conjugating aptamer and mitomycin C with reductant-responsive linker leading to synergistically enhanced anticancer effect. J. Am. Chem. Soc. 2020;142:2532–2540. doi: 10.1021/jacs.9b12409. [DOI] [PubMed] [Google Scholar]
  • 33.Xuan W, et al. Molecular self-assembly of bioorthogonal aptamer-prodrug conjugate micelles for hydrogen peroxide and pH-independent cancer chemodynamic therapy. J. Am. Chem. Soc. 2020;142:937–944. doi: 10.1021/jacs.9b10755. [DOI] [PubMed] [Google Scholar]
  • 34.He J, et al. Molecularly engineering triptolide with aptamers for high specificity and cytotoxicity for triple-negative breast cancer. J. Am. Chem. Soc. 2020;142:2699–2703. doi: 10.1021/jacs.9b10510. [DOI] [PubMed] [Google Scholar]
  • 35.Fan JX, et al. Engineered bacterial bioreactor for tumor therapy via Fenton-like reaction with localized H2 O2 generation. Adv. Mater. 2019;31:e1808278. doi: 10.1002/adma.201808278. [DOI] [PubMed] [Google Scholar]
  • 36.Pum D, Sara M, Sleytr UB. Structure, surface charge, and self-assembly of the S-layer lattice from Bacillus coagulans E38-66. J. Bacteriol. 1989;171:5296–5303. doi: 10.1128/jb.171.10.5296-5303.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Hovmöller S, Sjögren A, Wang DN. The structure of crystalline bacterial surface layers. Prog. Biophys. Mol. Biol. 1988;51:131–163. doi: 10.1016/0079-6107(88)90012-0. [DOI] [PubMed] [Google Scholar]
  • 38.Bedran-Russo AK, Vidal CM, Dos Santos PH, Castellan CS. Long-term effect of carbodiimide on dentin matrix and resin-dentin bonds. J. Biomed. Mater. Res. B Appl. Biomater. 2010;94:250–255. doi: 10.1002/jbm.b.31649. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Hartman DA. Determination of the stability of drugs in plasma. Curr. Protoc. Pharm. 2002;19:7.6.1–7.6.8. doi: 10.1002/0471141755.ph0706s19. [DOI] [PubMed] [Google Scholar]
  • 40.Yu J, et al. Aptamer and PNIPAAm co-conjugated nanoparticles regulate activity of enzyme with different temperature. Talanta. 2016;159:47–54. doi: 10.1016/j.talanta.2016.05.077. [DOI] [PubMed] [Google Scholar]
  • 41.Agrawal N, et al. Bacteriolytic therapy can generate a potent immune response against experimental tumors. Proc. Natl Acad. Sci. USA. 2004;101:15172–15177. doi: 10.1073/pnas.0406242101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Luo X, et al. Antitumor effect of VNP20009, an attenuated Salmonella, in murine tumor models. Oncol. Res. 2001;12:501–508. doi: 10.3727/096504001108747512. [DOI] [PubMed] [Google Scholar]
  • 43.Imaizumi K, et al. Ki67 expression and localization of T cells after neoadjuvant therapies as reliable predictive markers in rectal cancer. Cancer Sci. 2020;111:23–35. doi: 10.1111/cas.14223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Chen W, et al. Combination of bacterial-photothermal therapy with an anti-PD-1 peptide depot for enhanced immunity against advanced cancer. Adv. Funct. Mater. 2020;30:1906623. [Google Scholar]
  • 45.Romano S, Fonseca N, Simões S, Gonçalves J, Moreira JN. Nucleolin-based targeting strategies for cancer therapy: from targeted drug delivery to cytotoxic ligands. Drug Discov. Today. 2019;24:1985–2001. doi: 10.1016/j.drudis.2019.06.018. [DOI] [PubMed] [Google Scholar]
  • 46.Ou B, et al. Genetic engineering of probiotic Escherichia coli Nissle 1917 for clinical application. Appl. Microbiol. Biotechnol. 2016;100:8693–8699. doi: 10.1007/s00253-016-7829-5. [DOI] [PubMed] [Google Scholar]
  • 47.Acquah C, Danquah MK, Yon JLS, Sidhu A, Ongkudon CM. A review on immobilised aptamers for high throughput biomolecular detection and screening. Anal. Chim. Acta. 2015;888:10–18. doi: 10.1016/j.aca.2015.05.050. [DOI] [PubMed] [Google Scholar]
  • 48.Liu X, Yan H, Liu Y, Chang Y. Targeted cell-cell interactions by DNA nanoscaffold-templated multivalent bispecific aptamers. Small. 2011;7:1673–1682. doi: 10.1002/smll.201002292. [DOI] [PubMed] [Google Scholar]
  • 49.Tang Y, et al. An aptamer-targeting photoresponsive drug delivery system using “off–on” graphene oxide wrapped mesoporous silica nanoparticles. Nanoscale. 2015;7:6304–6310. doi: 10.1039/c4nr07493a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Liu H, et al. Fabrication of aptamer modified TiO2 nanofibers for specific capture of circulating tumor cells. Colloids Surf. B. Biointerfaces. 2020;191:110985. doi: 10.1016/j.colsurfb.2020.110985. [DOI] [PubMed] [Google Scholar]
  • 51.Yoo J-W, Irvine DJ, Discher DE, Mitragotri S. Bio-inspired, bioengineered and biomimetic drug delivery carriers. Nat. Rev. Drug Discov. 2011;10:521–535. doi: 10.1038/nrd3499. [DOI] [PubMed] [Google Scholar]
  • 52.Gopalakrishnan V, et al. Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science. 2018;359:97–103. doi: 10.1126/science.aan4236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Shangguan D, et al. Identification of liver cancer-specific aptamers using whole live cells. Anal. Chem. 2008;80:721–728. doi: 10.1021/ac701962v. [DOI] [PubMed] [Google Scholar]
  • 54.Ding Z, et al. In vivo targeting of liver cancer with tissue- and nuclei-specific mesoporous silica nanoparticle-based nanocarriers in mice. Int. J. Nanomed. 2020;15:8383–8400. doi: 10.2147/IJN.S272495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Geng Z, Wang L, Liu K, Liu J, Tan W. Enhancing anti-PD-1 immunotherapy by nanomicelles self-assembled from multivalent aptamer drug conjugates. Angew. Chem. Int. Ed. 2021;60:15459–15465. doi: 10.1002/anie.202102631. [DOI] [PubMed] [Google Scholar]
  • 56.Toso JF, et al. Phase I study of the intravenous administration of attenuated Salmonella typhimurium to patients with metastatic melanoma. J. Clin. Oncol. 2002;20:142–152. doi: 10.1200/JCO.2002.20.1.142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Heimann DM, Rosenberg SA. Continuous intravenous administration of live genetically modified Salmonella Typhimurium in patients with metastatic melanoma. J. Immunother. 2003;26:179–180. doi: 10.1097/00002371-200303000-00011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Nemunaitis J, et al. Pilot trial of genetically modified, attenuated Salmonella expressing the E. coli cytosine deaminase gene in refractory cancer patients. Cancer Gene Ther. 2003;10:737–744. doi: 10.1038/sj.cgt.7700634. [DOI] [PubMed] [Google Scholar]
  • 59.Le DT, et al. Safety and survival with GVAX pancreas prime and Listeria Monocytogenes-expressing mesothelin (CRS-207) boost vaccines for metastatic pancreatic cancer. J. Clin. Oncol. 2015;33:1325–1333. doi: 10.1200/JCO.2014.57.4244. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Huh WK, et al. Phase II study of axalimogene filolisbac (ADXS-HPV) for platinum-refractory cervical carcinoma: an NRG oncology/gynecologic oncology group study. Gynecol. Oncol. 2020;158:562–569. doi: 10.1016/j.ygyno.2020.06.493. [DOI] [PMC free article] [PubMed] [Google Scholar]

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