Amanda Chaplin, University of Leicester
Redefining Non-Homologous End Joining DNA-repair using
Cryo-electron Microscopy
Cellular DNA is exposed to multiple sources of damaging
agents, including endogenous sources such as oxidation and exogenous sources
such as radiation. DNA repair mechanisms
are vital as DNA double-strand breaks (DSBs) can cause cell death and
eventually cancer if left unrepaired. Non-homologous end joining (NHEJ) is one
of the two mechanisms required for DSB repair. NHEJ is dependent on several
canonical proteins, namely DNA-PKcs, Ku70/80, DNA Ligase IV, XRCC4 and XLF, in
addition to several regulatory proteins. Traditionally, NHEJ was thought to
consist of three simple linear steps. However, recent cryo-EM data has provided
an unexpected glimpse of alternate complex protein arrangements, leading us to
propose that the mechanism of NHEJ is more complicated that originally
believed. We have identified two alternate long-range DNA-PK dimers, one
mediated by Ku80 and the other by XLF. These dimers are essential for efficient
DNA repair. We have also recently shown that the accessory protein, PAXX can
stabilise specifically the Ku80 DNA-PK dimer and how this has overlapping roles
with XLF. Furthermore, we have used cryo-EM to visualise small molecules such
as IP6 binding and DNA-PKcs inhibitors, which will aid in future therapeutic
development.
30% of all cancer patients, over 90,000 new cancer cases, will receive radiotherapy as part of their curative treatment in the UK. However, resistance to radiotherapy is still a major challenge especially in non-small cell lung cancer (NSCLC) patients. Tumour vasculature-derived angiocrine signals (chemokines, cytokines, and growth factors secreted by vascular endothelial cells) have important roles in modulating responses to DNA-damaging agents, however their role in resistance to RT remains unexplored. In this study, we investigate how RT-induced vascular inflammation/dysfunction and derived angiocrine signals mediate resistance to RT.
Using a published scRNA seq dataset (Nolan et al, Nature Cancer, 2022), we have uncovered an enrichment upon radiation of a subset of vascular endothelial cells in the lung that possess immune modulatory, antigen presenting functions and unique expression of PD-L1, named iMECs (immune modulatory endothelial cells). This subcluster of ECs presents upregulation of inflammatory associated signatures such as TNF-a/NF-Kb and Jak/STAT3, among others. Furthermore, the existence of this iMEC subcluster was confirmed in human scRNA seq datasets and at protein level using image mass cytometry of early-stage lung cancer samples. Moreover, using both immunofluorescence and western blot nuclear fractionations, we have confirmed that RT induces activation of the canonical inflammatory pathway- NF-KB in mouse lung endothelial cells in vitro. We have also analysed the secretory phenotype (angiocrine signalling) of human pulmonary microvascular endothelial cells upon radiation in vitro, confirming secretion of several cytokines and chemokines associated with immune cell regulation.
Using 2D co-culture models, we have also demonstrated that vascular endothelial cells provide radioprotective signals to some tumour cell lines, and this effect seems to be, at least partially, contact-independent, as demonstrated with transwell experiments.
Initial in vivo data, using multifocal adenoviral-cre induced KP (KrasG12D p53LOF) NSCLC mouse model, suggests that tumour growth is resistant to hemithorax RT of 5 fractions of 2Gy, without major changes in blood vessel numbers or vascular growth patterns. Furthermore, immune characterisation of this model by flow cytometry revealed a more immunosuppressive response. Unifocal orthotopic NSCLC mouse models were also used to interrogate targeted RT (small animal radiation research platform, SARRP)-derived vascular responses and their effects on the TME. Using KP cells and CMT cells unifocal lung tumours, has revealed distinct responses to RT, with KP cells model being less sensitive to treatment compared with CMT. Interestingly, distinct vascular remodelling responses are observed within the two models.
Future studies will investigate the differential RT-derived vascular responses (and proportions of iMECs in the tumour vasculature) and associated immune infiltrate profiles comparing resistant (KP multifocal and unifocal models) vs sensitive (KL- KrasG12D Lkb1fl/fl; CMT167) mouse models, and how these might correlate with responses to RT. Additional in vitro studies will aim to address the ability of endothelial cells upon RT to recruit and possibly change immune cell phenotypes.
In conclusion, we have shown that RT induces NF-KB dependent vascular endothelial-cell inflammation, and the derived angiocrine signals contribute to protection of adjacent TC, while also possibly regulating immune cell responses. Therefore, modulating vascular EC responses to radiation might prove beneficial in improving responses to treatment of RT resistant NSCLC.
Hala Estephan, University of Oxford
Hypoxia inhibits MHC I expression and antigen presentation to escape immune surveillance
Hypoxia is a common feature of solid tumors that has previously been linked to resistance to
radiotherapy and chemotherapy, and more recently to immunotherapy. Hypoxic tumors
exclude T cells and inhibit their activity, suggesting that tumor cells acquire a mechanism to
evade T cell recognition and killing. Using an unbiased proteomic approach to determine what
mechanisms contribute to tumor immune evasion by hypoxia, we found that hypoxia inhibited
MHC I at the protein level and in consequence induces a significant change in antigen
presentation. Hypoxia decreases MHC I expression in an oxygen-dependent manner, mediated
by the activation of autophagy through the PERK arm of the unfolded protein response.
Furthermore, using an immunopeptidomics-based LC-MS approach, we found a significant
reduction in presented antigens under hypoxia. Inhibition of autophagy under hypoxia rescued
MHC I expression and enhanced antigen presentation. In experimental tumors, reducing
mitochondrial metabolism through a complex I inhibitor increases tumor oxygenation and both
MHC I levels as well as the immunopeptidome. These data provide the molecular mechanism
governing tumor immune evasion in hypoxic conditions, offering novel insights for therapeutic
interventions targeting hypoxia-induced alterations in antigen presentation.
It is well-established that genetic differences between cancers significantly affect their radiosensitivity, which in turn plays a major role in determining treatment response in clinical settings. However, despite this knowledge, there has been limited application of radiosensitivity models to personalise radiotherapy doses based on these differences, due to challenges in building robust predictions of responses across different biological systems.
The role of DNA repair role in radiation response is well-established, with decades of literature supporting its critical influence on cell fate. Extensive research has been undertaken to understand these processes, both to better characterise the response of different cells to radiation, and to identify potential targets for radiosensitisation.
This talk will review our work on modelling DNA repair in response to radiation-induced damage. This includes simulating the initial distributions of damage, its interaction and (mis)repair, and its subsequent consequences for cell fate. Importantly, this approach also considers the function of different genetic pathways in these systems, and the impact that dysregulation of key DNA repair processes has on radiosensitivity.
This modelling approach effectively captures numerous aspects of biological responses, including initial DNA damage and its repair over time, as well as biological consequences such as mutation and chromosome aberration formation, and overall clonogenic survival. This is applicable across different radiation qualities, and in cells of different DNA repair capacities, validated in both cell line data and CRISPR-Cas9 knockout screens.
However, while this work highlights the critical impact of DNA repair dysregulation on radiosensitivity, it also offers the opportunity to explore the prevalence of such factors in clinical cohorts. Analysis of both cell line and patient population databases shows that only a small fraction of samples – on the order of a few percent – exhibit mutational profiles associated with DNA repair defects which materially affect radiosensitivity.
This suggests that while these defects can serve as a significant radiosensitivity marker when present, they cannot explain the entire range of radiosensitivity observed in patient populations. This highlights the need for exploration of other regulators of response. Some possible pathways which may be driving these effects will be discussed, to highlight areas to underpin future radiobiological modelling.
Andreas Kyprianou, Warwick
Development of clinical and pre-clinical light-ion beam therapy in the UK
There is also a growing need to have greater access to facilities for pre-clinical research in the field of light-ion beam therapy. Innovative treatment techniques such as ultra-high dose rate (UHDR) and spatially-fractionated ion-beam delivery have shown some evidence of improved efficacy in early pre-clinical investigations, however the underlying mechanisms are yet to be understood. Furthermore, radiobiological studies of various light-ion species are desirable to ascertain their relative effectiveness. To meet this need there are plans to develop an ion-therapy research facility (ITRF) in the UK. Such an undertaking requires a cost-effective solution to be viable. Research is ongoing to design a laser-hybrid accelerator for radiobiological applications (LhARA), and for this system to be the source for the ITRF.
This presentation will provide an update on the current status of the PBT clinical service and summarize ongoing research for the development of the LhARA and ITRF.
Mark Hill, Oxford
Radiation track structure: how does their spatial and temporal properties drive the radiobiological response.
Ionising radiation is far more biologically effective than might be expected from the limited amount of energy deposited or the comparatively small amount of DNA damage induced, compared to the vast amount of endogenous damage arising from normal metabolism of the cell. This is due to the unique way energy is deposited along highly structured tracks of ionisation and excitation events, resulting in the correlation of DNA damage sites from the nanometre to the micrometre scale. Correlation of these events along the track on the nanometre scale results in clustered damage, which not only includes DNA double-strand breaks (DSB) and the more difficult to repair complex DSB (which includes additional damage within a few base pairs) but also non-DSB clusters. Track structure varies significantly with radiation quality and the increase in relative biological effectiveness (RBE) observed with increasing linear energy transfer (LET) in part corresponds to an increase in the probability and complexity of clustered DNA damage produced. Likewise, with increasing LET there is an increase probability of correlation over larger scales, associated with packing of DNA and associated chromosomes within the cell nucleus. This can also have a major impact on biological response, with difference becoming more pronounced with low doses associated with radiation protection exposures. The proximity of the correlated damage along the track increases the probability of miss-repair through pairwise interactions resulting in an increase in probability and complexity of DNA fragments/deletions, mutations and chromosomal rearrangements. The temporal properties radiation can also have a major impact on the resulting biological effectiveness.
Understanding the mechanisms underlying the biological effectiveness of ionising radiation can provide an important insight into the resulting radiation biology, improving the efficacy of radiotherapy, as well as the risks associated with exposure. This requires a multi-scale approach for modelling, considering the physics of the track structure from the millimetre to the nanometre scale, temporal aspects of exposure, the structural packing of the DNA within the nucleus, the resulting chemistry, along with the subsequent biological response. In addition to an overview of the link between physical interactions, associated chemistry and biological response, the presentation will also highlight some of the common misconceptions.
Session 5
Marianne Azner, University of Manchester
Radiotherapy “big data”: the role of AI and advanced image analysis
This presentation will explore the impact of advanced technologies such as deep learning (DL) and large-scale image analysis (e.g. voxel-wise analysis, radiomics) on treatment planning, delivery, and outcomes in radiotherapy. We will review clinical applications, as well as developments for research, e.g. use large cohorts of real-world data to learn from every patient and enhance our understanding of dose-response relationships.
Uwe Oelfke, Institute
of Cancer Research
SFRT/FLASH irradiators for pre-clinical research: Microbeams, FLASH SARRP and LFXT
Reviving the paradigms of spatially fractionated radiotherapy (SFRT) and dose delivery at Ultra-High dose rates (> 40 -100 Gy/s, FLASH) has inspired a wealth of pre-clinical research in the community of radiation physics and biology for the last decade.
The main aim of these studies was i) to elucidate the biological mechanisms of the observed dose sparing effects in normal tissues and ii) to study the tumoricidal properties of SFRT and FLASH. While these efforts led to several exciting hypotheses and potential explanations of the collective ‘in-vivo’ set of data, we are still lacking a satisfying understanding of their underpinning radiobiological mechanisms.
One severe bottleneck for rapid progress of the respective research is the lack of suitable experimental irradiation facilities. For FLASH RT, the most common irradiation modality are electron beams, either generated by dedicated LINACs or modified clinical accelerators with energies ranging from 6 - 10 MeV. Another prominent modality for FLASH RT are high energy protons. For photons at pre-clinical energies of 150 – 300 kV, a dedicated irradiator – the FLASH SARRP – has recently been introduced.
For SFRT, utilizing spatial beam widths of microbeams (< 250 microns), minibeams (1-5 mm) and larger grids of radiation (> 5mm), there is a scarce spectrum of facilities available. The most pronounced bottleneck is the availability of pre-clinical microbeam irradiators, especially since the ESRF in Grenoble has recently decided to put the microbeam-mode of operation of beamline ID17 on hold.
We will report on the development and commissioning of our micro-beam and FLASH irradiators at the Centre for Cancer imaging and will also cover the development of the line-focussed X-ray source (LFXT), currently ongoing at the Technical University of Munich. The concept of the LFXT, originating from work completed at ICR in 2017, promises to deliver microbeams at flash dose rates of up to 100 Gy/s with an unprecedented geometrical accuracy.
Our adaptation of a conventional SARRP platform for the delivery of microbeams is based on the integration of an electronically controlled slit collimator, allowing varying beam widths ranging from 50 - 170 microns. We will describe the process of dosimetric commissioning, report on the achievable dose patterns and describe the developed workflow for the irradiation of several ‘in-vivo’ tumour models including a set of initial results.
This section will be followed by a brief report on the initial dosimetric calibration of the FLASH SARRP platform, which consists of two rotatable x-ray tubes operating at a maximal output at 150 kV and a current of 630 mA resulting in dose rates between 80 and 90 Gy/s. Finally, the talk will introduce the concept of the LFXT and its technical realisation with its first prototype at TUM.
Christophe Badie, UKHSA
Amy Berrington, Institute of Cancer Research
In this session we will review the current clinical indications for MRT and the evidence supporting these. We will consider where the major gaps are in our knowledge, and what further research is required to allow us to optimise treatments for each individual patient. We will review recent clinical trials which have attempted to address some of these issues and the lessons learned from these.
Finally we will consider current initiatives seeking to promote MRT research in the UK and further afield.