bystander effect
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2022 ◽  
Author(s):  
Narongchai Autsavapromporn ◽  
Alisa Kobayashi ◽  
Cuihua Liu ◽  
Churdsak Jaikang ◽  
Tengku Ahbrizal Tengku Ahmad ◽  
...  

Radiation-induced bystander effect (RIBE) has been identified as an important contributing factor to tumor resistance and normal tissue damage. However, the RIBE in cancer and normal cells under hypoxia remain unclear. In this study, confluent A549 cancer and WI-38 normal cells were subjected to condition of hypoxia or normoxia, before exposure to high-LET protons microbeam. After 6 h incubation, cells were harvested and assayed for colony formation, micronucleus formation, chromosome aberration and western blotting. Our results show that there were differences of RIBE in bystander A549 and WI-38 cells under hypoxia and normoxia. The differences were also observed in the roles of HIF-1α expression in bystander A549 and WI-38 cells under both conditions. Furthermore, inhibition of gap junction intercellular communication (GJIC) showed a decrease in toxicity of hypoxia-treated bystander A549 cells, but increased in bystander WI-38 cells. These findings clearly support that GJIC protection of bystander normal cells from toxicity while enhancing in bystander cancer cells. Together, the data show a promising strategy for high-LET radiation in designing an entire new line of drugs, either increase or restore GJIC in bystander cancer cells which in turn leads to enhancement of radiation accuracy for treatment of hypoxic tumors.


Radiation ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 33-51
Author(s):  
Paweł Wysocki ◽  
Krzysztof W. Fornalski

It is well known that ionizing radiation can cause damages to cells that interact with it directly. However, many studies have shown that damages also occur in cells that have not experienced direct interaction. This is due to the so-called bystander effect, which is observed when the irradiated cell sends signals that can damage neighboring cells. Due to the complexity of this effect, it is not easy to strictly describe it biophysically, and thus it is also difficult to simulate. This article reviews various approaches to modeling and simulating the bystander effect from the point of view of radiation biophysics. In particular, the last model presented within this article is part of a larger project of modeling the response of a group of cells to ionizing radiation using Monte Carlo methods. The new approach presented here is based on the probability tree, the Poisson distribution of signals and the saturated dose-related probability distribution of the bystander effect’s appearance, which makes the model very broad and universal.


Author(s):  
Frederik Marmé

Background Despite the advances that have been made to improve conventional chemotherapies, their use is limited by a narrow therapeutic window based on off-target toxicities. Antibody-drug-conjugates (ADCs) are composed of an antibody and a toxic payload covalently coupled by a chemical linker. They constitute an elegant means to tackle the limitations of conventional chemotherapeutics by selectively delivering a highly toxic payload directly to target cells and thereby increasing efficacy of the delivered cytotoxic but at the same time limiting systemic exposure and toxicities. As such they appear inspired by Paul Ehrlich´s concept of a “magic bullet”, which he envisioned as drugs that go directly to their target to attack pathogens but remain harmless in healthy tissues. Summary The concept of conjugating drugs to antibodies via chemical linkers is not new. As early as in the 1960s researchers started to investigate such ADCs in animal models and first clinical trials based on mouse antibodies began in the 1980s. Although the concept appears relatively straightforward, ADCs are highly complex molecules, and it took several decades of research and development until the first ADC became approved by the FDA in 2000 and the second followed not until 11 years later. The development of an effective ADC is highly demanding, and each individual component of an ADC must be optimized: the target, the antibody, the linker and its conjugation chemistry as well as the cytotoxic payload. Today there are 9 approved ADCs overall and 3 for breast cancer. So, the pace of development seems to pick up with over 100 candidates in various stages of clinical development. Many ADCs of the newest generation are optimized to elicit a so-called bystander effect, to increase efficacy and tackle heterogneous antigen expression. This approach requires a balancing of efficacy and systemic toxicity. Hence, ADCs based on their complex biology cause relevant toxicities, which are characteristic for each specific compound and may include hematologic toxicities, elevated transaminases, gastrointestinal events, pneumonitis but also ocular toxicities as well as others many physicians may initially not be very familiar with. Management of the side effects will be key to the successful clinical use of these potent drugs. Key Messages This review focusses on the clinical experience with ADCs approved in breast cancer as well as promising candidates in late-stage clinical development. We will discuss the mode of action, biology, and composition of ADCs and how each of these crucial components influences their properties and efficacy.


2021 ◽  
Author(s):  
◽  
Jasmine Chan-Hyams

<p>Gene-directed enzyme-prodrug therapy (GDEPT) employs tumour-tropic vectors including viruses (VDEPT) and bacteria (BDEPT) to deliver a genetically-encoded prodrug-converting enzyme to the tumour environment, thereby sensitising the tumour to a prodrug. Bacterial nitroreductases, which are able to activate a range of anti-cancer nitroaromatic prodrugs to genotoxic metabolites, are of particular interest for GDEPT.  The bystander effect is crucial to the success of GDEPT. The bystander effect is a measure of how efficiently activated prodrug metabolites are transferred from gene-expressing cells to neighbouring tissues. This promotes more extensive tumour cell killing. The bystander effect has been quantified for multiple nitroaromatic prodrugs in mixed multilayer human cell cultures. Although this is a good model for VDEPT it cannot simulate the ability of these prodrug metabolites to exit the bacterial vectors relevant to BDEPT. Prior to this work there was an unmet need for an in vitro method of quantifying the bystander effect as it occurs in BDEPT, i.e. a bacterial model of cell-to-cell transfer of activated prodrug metabolites.  This thesis presents a method for measuring the bacterial bystander effect in vitro in a microplate based assay that was validated by flow cytometry. In this assay two Escherichia coli strains are grown in co-culture; an activator strain expressing the nitroreductase E. coli nfsA and a recipient strain containing an SOS-GFP DNA damage responsive gene construct. In this system, induction of GFP by reduced prodrug metabolites can only occur following their transfer from the activators to the recipients.  Using this method, the bacterial bystander effect of the clinically relevant prodrugs, metronidazole, CB1954, nitro-CBI-DEI, PR-104A and SN27686, was assessed. Consistent with the bystander efficiencies in human cell multilayers, reduced metronidazole exhibited little bacterial cell-to-cell transfer, whereas nitro-CBI-DEI was passed very efficiently from activator to recipient cells post-reduction. In contrast with observations in human cell multilayers, the PR-104A and SN27686 metabolites were not effectively passed between the two bacterial strains, whereas reduced CB1954 was transferred efficiently. Using nitroreductase enzymes that exhibit different biases for the 2- versus 4-nitro substituents of CB1954, I further showed that the 2-nitro reduction products exhibit substantially higher levels of bacterial cell-to-cell transfer than the 4-nitro reduction products. The outcomes of this investigation highlighted the importance of evaluating enzyme-prodrug combinations in models relevant to the intended GDEPT vector, as there can evidently be profound differences in efficacy in different settings. These findings motivated an investigation into the influence of the bystander effect on certain screening strategies used for directed evolution of nitroreductases. It was observed that the bacterial bystander effect can occur during fluorescence activated cell sorting (FACS) of a nitroreductase variant library and negatively impact the recovery of more active variants. Significantly fewer nfsA-expressing cells were recovered from FACS when using CB1954 and nitro-CBI-DEI, when the bystander effect was given time to occur, as compared to controls in which the bystander effect was given no time to occur. In contrast, at the preferred challenge concentrations the mustard prodrugs PR-104A and SN27686 did not yield significantly lower proportions of nfsA-expressing cells under bystander condition.  A subsequent investigation compared the evolutionary outcomes arising from screening a nitroreductase variant library using FACS, in which the bystander effect can occur, in parallel to a manual pre-selection method of individual clones for detoxification of structurally divergent nitroaromatic antibiotics. Overall the results of this investigation were inconclusive after just a single round of selection, but there is some evidence that the FACS strategy was more effective than niclosamide/chloramphenicol pre-selection in enriching for superior CB1954-reducing variants.  Finally, a panel of nitroreductase candidates was evaluated with the next generation prodrugs PR-104A and SN36506 for possible Clostridia-DEPT development. It was found that the Vibrio vulnificus NfsB F70A/F108Y variant displayed the highest catalytic efficiency with PR-104A reported thus far compared to any other nitroreductase, and was the only NfsB family nitroreductase to exhibit any activity with SN36506 at the purified protein level. At the time this research was performed only NfsB family nitroreductases had been successfully expressed in C. sporogenes by our collaborators, hence the V. vulnificus NfsB F70A/F108Y variant was selected as a promising lead enzyme for further development.</p>


2021 ◽  
Author(s):  
◽  
Jasmine Chan-Hyams

<p>Gene-directed enzyme-prodrug therapy (GDEPT) employs tumour-tropic vectors including viruses (VDEPT) and bacteria (BDEPT) to deliver a genetically-encoded prodrug-converting enzyme to the tumour environment, thereby sensitising the tumour to a prodrug. Bacterial nitroreductases, which are able to activate a range of anti-cancer nitroaromatic prodrugs to genotoxic metabolites, are of particular interest for GDEPT.  The bystander effect is crucial to the success of GDEPT. The bystander effect is a measure of how efficiently activated prodrug metabolites are transferred from gene-expressing cells to neighbouring tissues. This promotes more extensive tumour cell killing. The bystander effect has been quantified for multiple nitroaromatic prodrugs in mixed multilayer human cell cultures. Although this is a good model for VDEPT it cannot simulate the ability of these prodrug metabolites to exit the bacterial vectors relevant to BDEPT. Prior to this work there was an unmet need for an in vitro method of quantifying the bystander effect as it occurs in BDEPT, i.e. a bacterial model of cell-to-cell transfer of activated prodrug metabolites.  This thesis presents a method for measuring the bacterial bystander effect in vitro in a microplate based assay that was validated by flow cytometry. In this assay two Escherichia coli strains are grown in co-culture; an activator strain expressing the nitroreductase E. coli nfsA and a recipient strain containing an SOS-GFP DNA damage responsive gene construct. In this system, induction of GFP by reduced prodrug metabolites can only occur following their transfer from the activators to the recipients.  Using this method, the bacterial bystander effect of the clinically relevant prodrugs, metronidazole, CB1954, nitro-CBI-DEI, PR-104A and SN27686, was assessed. Consistent with the bystander efficiencies in human cell multilayers, reduced metronidazole exhibited little bacterial cell-to-cell transfer, whereas nitro-CBI-DEI was passed very efficiently from activator to recipient cells post-reduction. In contrast with observations in human cell multilayers, the PR-104A and SN27686 metabolites were not effectively passed between the two bacterial strains, whereas reduced CB1954 was transferred efficiently. Using nitroreductase enzymes that exhibit different biases for the 2- versus 4-nitro substituents of CB1954, I further showed that the 2-nitro reduction products exhibit substantially higher levels of bacterial cell-to-cell transfer than the 4-nitro reduction products. The outcomes of this investigation highlighted the importance of evaluating enzyme-prodrug combinations in models relevant to the intended GDEPT vector, as there can evidently be profound differences in efficacy in different settings. These findings motivated an investigation into the influence of the bystander effect on certain screening strategies used for directed evolution of nitroreductases. It was observed that the bacterial bystander effect can occur during fluorescence activated cell sorting (FACS) of a nitroreductase variant library and negatively impact the recovery of more active variants. Significantly fewer nfsA-expressing cells were recovered from FACS when using CB1954 and nitro-CBI-DEI, when the bystander effect was given time to occur, as compared to controls in which the bystander effect was given no time to occur. In contrast, at the preferred challenge concentrations the mustard prodrugs PR-104A and SN27686 did not yield significantly lower proportions of nfsA-expressing cells under bystander condition.  A subsequent investigation compared the evolutionary outcomes arising from screening a nitroreductase variant library using FACS, in which the bystander effect can occur, in parallel to a manual pre-selection method of individual clones for detoxification of structurally divergent nitroaromatic antibiotics. Overall the results of this investigation were inconclusive after just a single round of selection, but there is some evidence that the FACS strategy was more effective than niclosamide/chloramphenicol pre-selection in enriching for superior CB1954-reducing variants.  Finally, a panel of nitroreductase candidates was evaluated with the next generation prodrugs PR-104A and SN36506 for possible Clostridia-DEPT development. It was found that the Vibrio vulnificus NfsB F70A/F108Y variant displayed the highest catalytic efficiency with PR-104A reported thus far compared to any other nitroreductase, and was the only NfsB family nitroreductase to exhibit any activity with SN36506 at the purified protein level. At the time this research was performed only NfsB family nitroreductases had been successfully expressed in C. sporogenes by our collaborators, hence the V. vulnificus NfsB F70A/F108Y variant was selected as a promising lead enzyme for further development.</p>


2021 ◽  
Vol 3 (Supplement_6) ◽  
pp. vi2-vi2
Author(s):  
Makoto Horikawa ◽  
Shinichiro Koizumi ◽  
Tomoya Oishi ◽  
Taisuke Yamamoto ◽  
Masashi Ikeno ◽  
...  

Abstract HSV thymidine kinase (TK)/ganciclovir (GCV) has a long history of application in malignant glioma and we have previously demonstrated its bystander effect on gliomas using several stem cell types as a vehicle. The main reason for applying stem cells is that they have a unique tumor-trophic activity that allows them to deliver TK genes efficiently to nearby the tumor. Stem cells from human exfoliated deciduous teeth (SHED) are mesenchymal stem cells easily harvested from dental pulp and no studies have reported suicide gene therapy using SHED as a carrier for malignant gliomas. For transduction of SHED with the HSVTK gene (SHEDTK), we used HSVTK retrovirus-producing cells.In vitro experiments showed a significant migration ability of SHEDTK toward tumor-conditioned medium and representative tumor growth factors. We also detected a significant bystander effect of SHEDTK on gliomas in the presence of GCV. In vitro time-lapse imaging showed that both SHEDTK and glioma cells underwent gradual morphological apoptosis and activation of caspase 3/7 was observed in both cell types. In intracranial tumor models using nude mice, SHEDTK migrated around the U87 cell mass implanted in the contralateral hemisphere. Additionally, coculture suspensions of SHEDTK and U87-luciferase cells were xeno-transplanted followed by intraperitoneal administration of GCV for 10 days. All mice of treatment group survived for more than 100 days, whereas those treated without GCV died of tumor growth with median survival of 42 days after tumor implantation. Furthermore, pre-existing intracranial U87 model mice were injected intratumorally with SHEDTK followed by GCV administration as described above. The tumor volume was significantly reduced during the treatment period, and over-all surivial in treatment group is prolonged significantly to that of control groups. These results indicate that SHEDTK-based suicide gene therapy might offer a new promising therapeutic modality for human malignant gliomas.


Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7294
Author(s):  
Giuliana Pavone ◽  
Lucia Motta ◽  
Federica Martorana ◽  
Gianmarco Motta ◽  
Paolo Vigneri

Human trophoblast cell-surface antigen-2 (Trop-2) is a membrane glycoprotein involved in cell proliferation and motility, frequently overexpressed in epithelial tumors. Thus, it represents an attractive target for anticancer therapies. Sacituzumab govitecan (SG) is a third-generation antibody-drug conjugate, consisting of an anti-Trop-2 monoclonal antibody (hRS7), a hydrolyzable linker, and a cytotoxin (SN38), which inhibits topoisomerase 1. Specific pharmacological features, such as the high antibody to payload ratio, the ultra-toxic nature of SN38, and the capacity to kill surrounding tumor cells (the bystander effect), make SG a very promising drug for cancer treatment. Indeed, unprecedented results have been observed with SG in patients with heavily pretreated advanced triple-negative breast cancer and urothelial carcinomas, and the drug has already received approval for these indications. These results are coupled with a manageable toxicity profile, with neutropenia and diarrhea as the most frequent adverse events, mainly of grades 1–2. While several trials are exploring SG activity in different tumor types and settings, potential biomarkers of response are under investigation. Among these, Trop-2 overexpression and the presence of BRCA1/2 mutations seem to be the most promising. We review the available literature concerning SG, with a focus on its toxicity spectrum and possible biomarkers of its response.


2021 ◽  
Vol 410 ◽  
pp. 126445
Author(s):  
Luo-Luo Jiang ◽  
Jian Gao ◽  
Zhi Chen ◽  
Wen-Jing Li ◽  
Jürgen Kurths

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Qian Wang ◽  
Jie Yang ◽  
Zhicheng Zhong ◽  
Jeffrey A. Vanegas ◽  
Xue Gao ◽  
...  

AbstractBase editors (BEs) hold great potential for medical applications of gene therapy. However, high precision base editing requires BEs that can discriminate between the target base and multiple bystander bases within a narrow active window (4 – 10 nucleotides). Here, to assist in the design of these optimized editors, we propose a discrete-state stochastic approach to build an analytical model that explicitly evaluates the probabilities of editing the target base and bystanders. Combined with all-atom molecular dynamic simulations, our model reproduces the experimental data of A3A-BE3 and its variants for targeting the “TC” motif and bystander editing. Analyzing this approach, we propose several general principles that can guide the design of BEs with a reduced bystander effect. These principles are then applied to design a series of point mutations at T218 position of A3G-BEs to further reduce its bystander editing. We verify experimentally that the new mutations provide different levels of stringency on reducing the bystander editing at different genomic loci, which is consistent with our theoretical model. Thus, our study provides a computational-aided platform to assist in the scientifically-based design of BEs with reduced bystander effects.


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