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The poly (ADP-ribose) polymerase (PARP) inhibitor olaparib is FDA approved for the treatment of BRCA-mutated breast, ovarian and pancreatic cancers. Olaparib inhibits PARP1/2 enzymatic activity and traps PARP1 on DNA at single-strand breaks, leading to replication-induced DNA damage that requires BRCA1/2-dependent homologous recombination repair. Moreover, DNA damage response pathways mediated by the ataxia-telangiectasia mutated (ATM) and ataxia-telangiectasia mutated and Rad3-related (ATR) kinases are hypothesised to be important survival pathways in response to PARP-inhibitor treatment. Here, we show that olaparib combines synergistically with the ATR-inhibitor AZD6738 (ceralasertib), in vitro, leading to selective cell death in ATM-deficient cells. We observe that 24 h olaparib treatment causes cells to accumulate in G2-M of the cell cycle, however, co-administration with AZD6738 releases the olaparib-treated cells from G2 arrest. Selectively in ATM-knockout cells, we show that combined olaparib/AZD6738 treatment induces more chromosomal aberrations and achieves this at lower concentrations and earlier treatment time-points than either monotherapy. Furthermore, single-agent olaparib efficacy in vitro requires PARP inhibition throughout multiple rounds of replication. Here, we demonstrate in several ATM-deficient cell lines that the olaparib and AZD6738 combination induces cell death within 1–2 cell divisions, suggesting that combined treatment could circumvent the need for prolonged drug exposure. Finally, we demonstrate in vivo combination activity of olaparib and AZD6738 in xenograft and PDX mouse models with complete ATM loss. Collectively, these data provide a mechanistic understanding of combined PARP and ATR inhibition in ATM-deficient models, and support the clinical development of AZD6738 in combination with olaparib.

In oncological drug development, animal studies continue to play a central role in which the volume of subcutaneous tumours is monitored to assess the efficacy of new drugs. The tumour volume is estimated by taking the volume to be that of a regular spheroid with the same dimensions. However, this method is subjective, insufficiently traceable, and is subject to error in the accuracy of volume estimates as tumours are frequently irregular. This paper reviews the standard technique for tumour volume assessment, calliper measurements, by conducting a statistical review of a large dataset consisting of 2,500 tumour volume measurements from 1,600 mice by multiple operators across 6 mouse strains and 20 tumour models. Additionally, we explore the impact of six different tumour morphologies on volume estimation and the detection of treatment effects using a computational tumour growth model. Finally, we propose an alternative method to callipers for estimating volume-BioVolumeTM, a 3D scanning technique. BioVolume simultaneously captures both stereo RGB (Red, Green and Blue) images from different light sources and infrared thermal images of the tumour in under a second. It then detects the tumour region automatically and estimates the tumour volume in under a minute. Furthermore, images can be processed in parallel within the cloud and so the time required to process multiple images is similar to that required for a single image. We present data of a pre-production unit test consisting of 297 scans from over 120 mice collected by four different operators. This work demonstrates that it is possible to record tumour measurements in a rapid minimally invasive, morphology-independent way, and with less human-bias compared to callipers, whilst also improving data traceability. Furthermore, the images collected by BioVolume may be useful, for example, as a source of biomarkers for animal welfare and secondary drug toxicity / efficacy.

BackgroundThe combination of an ATR inhibitor ceralasertib and anti-PD-L1 antibody durvalumab is being tested in Phase III clinical trials in patients who have progressed on prior immunotherapy. Preclinical experiments were performed to build a greater understanding of the potential immune driven mechanisms-of-action by which ceralasertib enhances antitumor efficacy in combination with anti-PD-L1 in the context of the clinical dose and schedule.MethodsTo assess the antitumor efficacy and associated pharmacodynamic effects ceralasertib ceralasertib was administered to CT26 tumor-bearing BALB/c immunocompetent mice twice daily with continuously and intermittently 7 day-on/7 day-off schedules alone or in combination with PD-L1 blockade. Flow cytometry and immunohistochemistry was used to quantify CD8+ T-cells when on and off ceralasertib treatment. Immunophenotyping was performed using single-cell CyTOF protein expression mass cytometry and bulk tumor or single-cell RNA sequencing (scRNA-seq) transcriptomics analysis to evaluate intratumoral T-cell populations.ResultsModelling of intermittent ceralasertib dosing regimen in mouse tumor models revealed CD8+ T-cell and type I interferon (IFNI) dependent antitumor activity, which was enhanced in combination with anti-PD-L1 immune checkpoint blockade. Ceralasertib suppressed highly proliferating CD8+ T-cells when on-treatment which was rapidly reversed when off-treatment. This was linked to significant relative reductions in T-cells which displayed markers commonly associated with an exhausted phenotype and a concomitant increase in cells with naïve non-activated phenotypes with improved T-cell function in the tumor microenvironment. Continuous daily administration of ceralasertib led to the sustained suppression of CD8+ T-cells and impaired antitumor activity compared to intermittent dosing. In addition, ceralasertib caused up-regulation of type I interferon (IFNI) which may promote an inflammatory environment and drive direct anti-proliferative effects on tumor cells.ConclusionsBroad immunostimulatory and immunomodulatory changes following intermittent ATR treatment in combination with immune checkpoint blockade may underpin the durable clinical therapeutic benefit observed in patients and indicates its potential wider impact on antitumor immunity.

The Ataxia telangiectasia and Rad3-related (ATR) inhibitor ceralasertib in combination with the PD-L1 antibody durvalumab demonstrated encouraging clinical benefit in melanoma and lung cancer patients who progressed on immunotherapy. Here we show that modelling of intermittent ceralasertib treatment in mouse tumor models reveals CD8 + T-cell dependent antitumor activity, which is separate from the effects on tumor cells. Ceralasertib suppresses proliferating CD8 + T-cells on treatment which is rapidly reversed off-treatment. Ceralasertib causes up-regulation of type I interferon (IFNI) pathway in cancer patients and in tumor-bearing mice. IFNI is experimentally found to be a major mediator of antitumor activity of ceralasertib in combination with PD-L1 antibody. Improvement of T-cell function after ceralasertib treatment is linked to changes in myeloid cells in the tumor microenvironment. IFNI also promotes anti-proliferative effects of ceralasertib on tumor cells. Here, we report that broad immunomodulatory changes following intermittent ATR inhibition underpins the clinical therapeutic benefit and indicates its wider impact on antitumor immunity. The ATR inhibitor ceralasertib has shown clinical activity in combination with immune-checkpoint inhibitors in several cancer types. Here the authors report the anti-tumor activity and the immunomodulatory changes, dependent on up-regulation of type I interferon pathway, following intermittent ATR inhibition in preclinical cancer models.

Phenotypic plasticity, the ability of a living organism to respond to the environment, can lead to conclusions from experiments that are idiosyncratic to a particular environment. The level of environmental responsiveness can result in difficulties in reproducing studies from the same institute with the same standardised environment. Here we present a multi-batch approach to in-vivo studies to improve replicability of the results for a defined environment. These multi-batch experiments consist of small independent mini-experiments where the data are combined in an integrated data analysis to appropriately assess the treatment effect after accounting for the structure in the data. We demonstrate the method on two case studies with syngeneic tumour models which are challenging due to high variability both within and between studies. Through simulations and discussions, we explore several data analysis options and the optimum design that balances practical constraints of working with animals versus sensitivity and replicability. Through the increased confidence from the multi-batch design, we reduce the need to replicate the experiment, which can reduce the total number of animals used.

Plasticity of cancer metabolism can be a major obstacle to efficient targeting of tumour-specific metabolic vulnerabilities. Here, we identify the compensatory mechanisms following the inhibition of major pathways of central carbon metabolism in c-MYC-induced liver tumours. We find that, while inhibition of both glutaminase isoforms ( Gls 1 and Gls 2) in tumours considerably delays tumourigenesis, glutamine catabolism continues, owing to the action of amidotransferases. Synergistic inhibition of both glutaminases and compensatory amidotransferases is required to block glutamine catabolism and proliferation of mouse and human tumour cells in vitro and in vivo. Gls1 deletion is also compensated for by glycolysis. Thus, co-inhibition of Gls1 and hexokinase 2 significantly affects Krebs cycle activity and tumour formation. Finally, the inhibition of biosynthesis of either serine ( Psat1 -KO) or fatty acid ( Fasn -KO) is compensated for by uptake of circulating nutrients, and dietary restriction of both serine and glycine or fatty acids synergistically suppresses tumourigenesis. These results highlight the high flexibility of tumour metabolism and demonstrate that either pharmacological or dietary targeting of metabolic compensatory mechanisms can improve therapeutic outcomes. Metabolic compensation equips tumours with the plasticity to circumvent individual nutrient pathway perturbation. Méndez-Lucas et al. demonstrate the power of synergistic targeting of multiple metabolic pathways to stymie liver tumourigenesis.

BackgroundAZD0156 and AZD6738 are potent and selective inhibitors of ataxia-telangiectasia-kinase (ATM) and ataxia-telangiectasia-mutated and Rad3-related (ATR), respectively, important sensors/signallers of DNA damage.MethodsWe used multiplexed targeted-mass-spectrometry to select pRAD50(Ser635) as a pharmacodynamic biomarker for AZD0156-mediated ATM inhibition from a panel of 45 peptides, then developed and tested a clinically applicable immunohistochemistry assay for pRAD50(Ser635) detection in FFPE tissue.ResultsWe found moderate pRAD50 baseline levels across cancer indications. pRAD50 was detectable in 100% gastric cancers (n = 23), 99% colorectal cancers (n = 102), 95% triple-negative-breast cancers (TNBC) (n = 40) and 87.5% glioblastoma-multiformes (n = 16). We demonstrated AZD0156 target inhibition in TNBC patient-derived xenograft models; where AZD0156 monotherapy or post olaparib treatment, resulted in a 34–72% reduction in pRAD50. Similar inhibition of pRAD50 (68%) was observed following ATM inhibitor treatment post irinotecan in a colorectal cancer xenograft model. ATR inhibition, using AZD6738, increased pRAD50 in the ATM-proficient models whilst in ATM-deficient models the opposite was observed, suggesting pRAD50 pharmacodynamics post ATR inhibition may be ATM-dependent and could be useful to determine ATM functionality in patients treated with ATR inhibitors.ConclusionTogether these data support clinical utilisation of pRAD50 as a biomarker of AZD0156 and AZD6738 pharmacology to elucidate clinical pharmacokinetic/pharmacodynamic relationships, thereby informing recommended Phase 2 dose/schedule.

Ataxia-telangiectasia mutated gene (ATM) is a key component of the DNA damage response (DDR) and double-strand break repair pathway. The functional loss of ATM (ATM deficiency) is hypothesised to enhance sensitivity to DDR inhibitors (DDRi). Whole-exome sequencing (WES), immunohistochemistry (IHC), and Western blotting (WB) were used to characterise the baseline ATM status across a panel of ATM mutated patient-derived xenograft (PDX) models from a range of tumour types. Antitumour efficacy was assessed with poly(ADP-ribose)polymerase (PARP, olaparib), ataxia- telangiectasia and rad3-related protein (ATR, AZD6738), and DNA-dependent protein kinase (DNA-PK, AZD7648) inhibitors as a monotherapy or in combination to associate responses with ATM status. Biallelic truncation/frameshift ATM mutations were linked to ATM protein loss while monoallelic or missense mutations, including the clinically relevant recurrent R3008H mutation, did not confer ATM protein loss by IHC. DDRi agents showed a mixed response across the PDX’s but with a general trend toward greater activity, particularly in combination in models with biallelic ATM mutation and protein loss. A PDX with an ATM splice-site mutation, 2127T > C, with a high relative baseline ATM expression and KAP1 phosphorylation responded to all DDRi treatments. These data highlight the heterogeneity and complexity in describing targetable ATM-deficiencies and the fact that current patient selection biomarker methods remain imperfect; although, complete ATM loss was best able to enrich for DDRi sensitivity.

In oncological drug development, animal studies continue to play a central role in which the volume of subcutaneous tumours is monitored to assess the efficacy of new drugs. Tumour volume is currently estimated by measuring length and width with callipers and then estimating the volume of the tumour as if it were a regular spheroid. However, this method is subjective, insufficiently traceable, and is subject to error in the accuracy of volume estimates as tumours frequently are irregular. This paper explores the extent of inconsistencies in calliper measurements by conducting a statistical review of a large dataset consisting of 2,500 tumour volume measurements from 1,600 mice by multiple operators across 6 mouse strains and 20 tumour models. We also explore the impact of six different tumour morphologies on volume estimation and the detection of treatment effects using a computational tumour growth model. Finally, we propose an alternative method to callipers for estimating volume – BioVolumeTM, a 3D scanning technique. BioVolume simultaneously captures both stereo RGB (Red, Green and Blue) images from different light sources and infrared thermal images of the tumour. It detects the tumour region automatically and estimates the tumour volume in under a second. BioVolume has been tested on a dataset of 297 scans from over 120 mice collected by four different operators. This work demonstrates that it is possible to record tumour measurements in a rapid, minimally invasive, morphology-independent way, and with less human-bias compared to callipers, whilst also improving data traceability. Furthermore, the images collected by BioVolume may be useful, for example, as a source of biomarkers for animal welfare and secondary drug toxicity / efficacy.

Plasticity of cancer metabolism can be a major obstacle for efficient targeting of tumour-specific metabolic vulnerabilities. Here, we identify and quantify the compensatory mechanisms following the inhibition of major pathways of central carbon metabolism in c-MYC-induced liver tumours. We find that glutaminase isoform Gls2, expressed in normal liver, compensates for the deletion of Gls1 isoform expressed in tumours. Inhibiting both glutaminases significantly delays tumourigenesis but does not completely block glutamine catabolism through the Krebs cycle. We reveal that glutamine catabolism is then driven by amidotransferases. Consistently, the synergistic effect of glutaminase and amidotransferase inhibitors on proliferation of mouse and human tumour cells is observed in vitro and in vivo. Furthermore, when Gls1 is deleted the Krebs cycle activity and tumour formation can also be significantly affected if glycolysis is co-inhibited (Gls1KO/Hk2KO). Finally, the inhibition of either serine (Psat1KO) or fatty acid (FasnKO) biosynthesis can be compensated by uptake of circulating nutrients. Thus, removing these nutrients from the diet produces synergistic effects on suppression of tumourigenesis. These results highlight the high flexibility of tumour metabolism and demonstrate how targeting compensatory mechanisms can improve a therapeutic outcome. Footnotes * The order of authors was wrong. Mariia Yuneva is a corresponding and last author and Andres Mendez-Lucas is the first. The figure pages were of the wrong format.