Radiotherapy and Oncology

Radiotherapy significantly improves the survival of head and neck cancer patients. However, it frequently damages the salivary glands, causing persistent hyposalivation and xerostomia. Radiation-induced cellular senescence within the salivary gland stem/progenitor cell niche contributes to hyposalivation, suggesting that selective elimination of senescent cells could promote tissue recovery. However, the effectiveness of senolytic compounds is strongly context dependent, varying with tissue of origin and potentially impairing regenerative cells required for functional restoration. Here, we developed a two-step organoid-based screening methodology that integrates the preferential induction of apoptosis in irradiated, senescence enriched, salivary gland organoids with the preservation of stem/progenitor cell regenerative capacity. As a first step, the senolytic activity of candidate drugs was tested to identify drugs that induced apoptosis in senescent cells of irradiated organoids but were not or less toxic to unirradiated organoids. As a second step, the confirmed senolytic compounds were tested for effects on stem cell self-renewal potential. Using this approach, we identified Nutlin3a, an MDM2 inhibitor and p53 activator, as the compound with the most favorable toxicity profile in salivary glands. Last, we confirmed the anti-senescence and pro-regenerative potential of Nutlin3a in an in vivo mouse model of radiation-induced hyposalivation, where localized Nutlin3a delivery resulted in a robust increase in saliva production, as early as two weeks after administration. These findings establish an organoid-based strategy for identifying tissue-adapted senolytic interventions and propose transient local p53 activation with Nutlin3a as a potential approach to mitigate radiation-induced salivary gland dysfunction.

Biological effectiveness in ion therapy varies with radiation quality and biological context, yet cancer cell response data acquired under well-characterized physical conditions remain limited. We investigated clonogenic survival and relative biological effectiveness (RBE) in PANC-1 and BxPC-3 pancreatic ductal adenocarcinoma (PDAC) cells irradiated at four positions along pristine 180.1 MeV proton and 352.4 MeV/u carbon ion Bragg curves, with 4 cm spread-out Bragg peak (SOBP) irradiation included as a clinically relevant comparison. Cell plane positioning and dose were verified in a water-tank system using an Advanced Markus ionization chamber, and Monte Carlo simulations using TOPAS provided dose-averaged linear energy transfer (LETD) and microdosimetric quantities. RBE was calculated relative to 200 kVp X-rays using the linear-quadratic survival model. Across the sampled pristine beam positions, spanning LETD values of approximately 1-9 keV/m for protons and 12-163 keV/m for carbon ions, RBE increased with LETD. Proton RBE10 exceeded the conventional clinical value of 1.1 at distal positions, whereas carbon ion RBE10 increased from 2.3 to 5.2 in PANC-1 and from 1.3 to 3.7 in BxPC-3, with larger differences between cell lines observed near the Bragg peak. SOBP measurements showed different biological responses across field conditions despite comparable LETD. These physically characterized survival data provide PDAC-relevant benchmarks for evaluating whether RBE models reproduce biological responses across pristine and SOBP irradiation conditions, supporting the future integration of radiation-quality-dependent effects into ion planning.

The clonogenic assay is the foundational standard for evaluating cellular radiosensitivity, yet its manual quantification is limited by labor-intensive processing, high inter-observer variability, and a reductive binary scoring system. Here, we present and validate a deep learning-based segmentation pipeline for the automated, high-throughput quantification of mammalian cell survival across diverse radiation qualities (photons, protons, and carbon ions). By benchmarking against expert consensus using Bland-Altman analysis, we demonstrate that this AI framework consistently operates within natural human error margins. Crucially, transitioning to automated whole-well image-based analysis enables the extraction of continuous multidimensional data, including colony area, density, and cellularity. This phenotypic profiling successfully identified and quantified high-cellularity colonies formed by radioresistant BxPC-3 cells under particle irradiation. Coupled with rapid image acquisition platforms, this methodology significantly reduces processing bottlenecks while standardizing the derivation of relative biological effectiveness (RBE). By advancing beyond binary survival metrics to continuous morphological profiling, this framework provides a vital new analytical dimension for investigating structural mechanisms of radioresistance.

Background: Patient-specific dosimetry in targeted radionuclide therapy (TRT) is increasingly supported by quantitative imaging; however, voxel-scale dose estimates cannot resolve cellular and subcellular heterogeneity present within tumor tissue. Conventional cellular dosimetry models often represent cells as regularly packed spheres, which may not capture realistic tumor microarchitecture. This study investigated how histopathology-informed three-dimensional (3D) tumor microarchitecture influences cellular absorbed-dose distributions, predicted radiobiological response, and treatment-related conclusions in TRT. Methods: Realistic 3D cellular tumor models were constructed from thick-section 3D cyclic immunofluorescence (3D CyCIF) imaging data. Monte Carlo radiation-transport simulations were performed for Lu-177, Pd-103, Tb-161 and Y-90, with activity localized in cancer-cell subcellular compartments and in non-cancer targets. Absorbed dose per total cluster decay was calculated individually for each cell nucleus and compared with corresponding simplified spherical tumor models. Cell survival fractions were estimated using the linear-quadratic model, and tumor control probability (TCP) was calculated from the individual cancer-cell survival probabilities. Results: Simplified model overestimated mean cancer-cell nuclear absorbed dose by 9.54% to 14.51% for nuclear localization and by 33.23% to 44.88% for cytoplasmic and membrane localization. In larger tissue models, simplified and realistic geometries produced comparable mean absorbed doses in several cases; however, the realistic models consistently generated broader cellular dose distributions, including low-dose cancer-cell subpopulations not captured by the simplified models. These dose-distribution differences propagated into wider survival-fraction distributions and altered TCP predictions. In the spatially heterogeneous tumor region, the realistic model required 1.11- to 1.33-fold higher activity to reach TCP90 for nuclear localization, and 1.49- to 5.93-fold higher activity for cytoplasmic and membrane localization. For similar tumor control, the radionuclide and source-localization combination associated with the greatest preservation of surrounding non-cancer cells differed between the simplified and realistic models. The intra-voxel analysis further showed that homogeneous voxel-scale activity assumptions can obscure biologically relevant microscopic dose heterogeneity. Conclusion: Native 3D tumor microarchitecture substantially influences cellular absorbed-dose distributions, predicted biological response, and treatment-related conclusions. Histopathology-informed 3D cellular models can be used as a complementary framework for characterizing cellular dose heterogeneity and may improve the evaluation of radionuclides and subcellular targeting strategies in heterogeneous tumor tissue.

Background: Chimeric antigen receptor (CAR) T cell therapy has had clinical success in hematologic malignancies, but limited efficacy is seen in solid tumors. In this study, we investigated whether systemic CAR T cell therapy could be enhanced in metastatic models of neuroblastoma when combined with radiopharmaceutical therapy (RPT). Methods: Non-irradiated or irradiated tumor cells were co-cultured with CAR T cells (1:1) in vitro and supernatant media was subsequently collected for cytokines analyses. CAR T cell phenotypes were characterized by flow cytometry including checkpoint marker expression. Xenograft models of metastatic neuroblastoma were generated in NOD-Rag1nullIL2rgnull (NRG) mice. Tumor-bearing mice received 1.8 Gy of radiation delivered by 177Lu-NM600 RPT five days after tumor implantation. Nine days after RPT, CAR T cells were administered intravenously. To evaluate tumor burden, mice were imaged weekly for 4 weeks. Results: In models of metastatic neuroblastoma, 177Lu-NM600 RPT significantly increased overall survival when combined with CAR T cell therapy in vivo. Pre-treatment of tumor cells with 177Lu also significantly increased CAR T cell cytotoxicity while decreasing production of IL-4 and IL-10 in vitro. Co-culture of CAR T cells with irradiated tumors led to increases in PD-1+TIM3+LAG3+ T cells, suggesting that further combination with immune checkpoint inhibitors may enhance clinical efficacy. Conclusions: Our findings demonstrate that low-dose RPT can potentiate the anti-tumor efficacy of CAR T cells in metastatic neuroblastoma. To our knowledge, this is the first report of dosimetry-based RPT being combined with CAR T cells in a metastatic solid tumor setting. These findings underscore the potential of combining RPT and CAR T cells to overcome the unique challenges of solid tumors, particularly when treating metastatic disease.

Purpose: Digital-twin frameworks can potentially offer a pathway toward individualized treatment but remain largely untested in radiation oncology. We present a causal digital-twin model for head-and-neck (H&N) cancer that estimates patient-specific survival benefit from chemoradiotherapy (CRT) versus radiotherapy (RT) alone, stratified by HPV status. Methods: Using the public RADCURE cohort (n = 3,346), we developed a causal digital-twin framework in which patients were divided into HPV-positive and HPV-negative groups and assigned to training (RT start year [&le;] 2007) and test sets (RT start year > 2007). Bayesian-network structure learning identified each cohort's Markov Blanket around the 2-year survival endpoint (SVy2), yielding the minimal causally relevant feature set. A causal-forest model (double machine learning, DML framework) estimated the individualized treatment effect {tau}=P(SVy_2|CRT,X)-P(SVy_2|RT,X), with {tau} denoting the model-estimated effect. Overlap restrictions were applied to mitigate extrapolation. Predictive discrimination (AUC, C-index), average treatment effects (ATE), individualized effects (ITE), and decision-curve analyses were computed. Results: For HPV-negative disease, internal evaluation demonstrated strong discriminative performance (test AUC = 0.72; C-index = 0.81, p < 0.01). The estimated test-set ATE favored CRT with a modest but positive improvement in SVy2 (mean {tau} = 0.13). Patterns in {tau} were clinically coherent, including increased benefit in node-positive and good-performance patients and reduced benefit in high-burden or poor-performance presentations. Decision-curve analysis showed that a {tau} -guided selective-CRT strategy provided higher net benefit than uniform treatment policies. In HPV-positive disease, treatment-effect heterogeneity was attenuated, consistent with its more uniformly favorable prognosis. Conclusion: This study demonstrates a proof-of-concept causal digital-twin framework for interpretable, patient-specific survival simulation in H&N cancer. The model captures clinically plausible treatment-effect heterogeneity and establishes a foundation for multi-cohort validation and future integration into individualized treatment decision support.

FLASH radiotherapy delivers radiation at ultra-high dose rates and has been demonstrated to spare normal tissue compared to standard radiotherapy, but it is not known if dose rate also modifies tumor response. Here we compare a single 13.5 Gy fraction of proton irradiation delivered at FLASH (F-PRT) or Standard (S-PRT) dose rate in immunocompetent C57BL/6 mice bearing EO771 or AT3 triple-negative mammary tumors. At this identical physical dose, F-PRT delays tumor growth more than S-PRT at both heterotopic and orthotopic sites. The effect is largest in EO771, where F-PRT also prolongs tumor-volume endpoint-free survival and reduces the emergence of lung metastases relative to S-PRT. F-PRT induces earlier intratumoral STING expression and IRF3 nuclear translocation, higher type I interferon levels and greater CD8+ T-cell infiltration. CD8+ T-cell depletion or systemic STING inhibition abolishes the F-PRT advantage. Combined with anti-PD-1 and agonistic anti-CD40, both modalities produce durable complete responses that reject contralateral rechallenge, but F-PRT limits tumor progression before response and accelerates regression. FLASH proton radiotherapy not only improves normal-tissue tolerance, but also antitumor immunity, suggesting that ultra-high dose rate could widen the therapeutic window from both sides.

Background: Robot-assisted radical prostatectomy is the standard minimally invasive treatment for localized prostate cancer. Conventional multiport robotic surgery is widely applied yet associated with more abdominal trauma and postoperative discomfort. Single-port robotic surgery can further minimize surgical injury. The domestic KangDuo robotic system has been gradually used in urological oncology, but high-level prospective evidence comparing single-port and multiport extraperitoneal radical prostatectomy remains scarce. This trial aims to compare the efficacy and safety of these two surgical approaches. Methods: This is a single-center, prospective, 1:1 randomized, non-inferiority trial. Eligible patients diagnosed with cT1c-cT2cN0M0 localized prostate cancer will be randomized to receive either single-port (experimental group) or multiport (control group) extraperitoneal robotic radical prostatectomy using the KangDuo system. All participants will receive standardized enhanced recovery after surgery (ERAS) protocols. The primary endpoint is postoperative positive surgical margin rate. Perioperative parameters, postoperative recovery, medium-term functional recovery and oncological outcomes will be assessed comprehensively. Expected results: We hypothesize that the single-port approach is non-inferior to the multiport approach in terms of oncological radical effect. The single-port technique is expected to provide better minimally invasive benefits, with comparable perioperative safety, urinary/sexual function recovery and mid-term oncological outcomes between groups. Conclusions: This randomized trial will provide high-quality clinical evidence for the application of domestic single-port robotic surgery. The findings will facilitate individualized surgical selection for patients with localized prostate cancer. Trial Registration: Chinese Clinical Trial Registry, ChiCTR2600125669 (http://www.chictr.org.cn/showproj.aspx?proj=2600125669).

Acute radiation syndrome remains a major consequence of high-dose ionizing radiation exposure, and effective pharmacological countermeasures are limited. Nitro-fatty acids possess anti-inflammatory and cytoprotective properties, suggesting potential effectiveness in radiation injury. Here, we investigated the radioprotective effects of 10-nitro-oleic acid (10-NO2OA) in mouse models of total body irradiation (TBI). C57BL/6 mice were exposed to either sublethal (4 Gy) or LD50-level (7.5 Gy) gamma irradiation and treated with 10-NO2OA according to pre-irradiation, post-irradiation, or combined treatment regimens. Survival, hematological responses, bone marrow cells (BMCs)/colony-forming units (CFU), plasma granulocyte colony-stimulating factor (G-CSF), NRF2-responsive signaling, and intestinal responses were evaluated. Administration of 10-NO2OA before and after irradiation significantly improved 30-day survival following 7.5 Gy TBI (57% vs. 20% in vehicle-treated controls). In contrast, post-irradiation treatment alone was ineffective, whereas pre-irradiation treatment alone produced a non-significant trend toward improved survival. The protective effect was absent in BALB/c mice, indicating strain dependence. Although 10-NO2OA did not prevent long-term radiation-induced cytopenia, it increased neutrophil and platelet counts, elevated plasma G-CSF levels shortly after irradiation, and transiently enhanced BMC counts. In irradiated BMCs, 10-NO2OA activated NRF2-responsive gene expression in vitro and in vivo. Exploratory intestinal analyses revealed improved macroscopic appearance and partial restoration of irradiation-suppressed cytokine and growth factor production. In conclusion, 10-NO2OA improves survival following LD50-level gamma irradiation and is associated with modulation of hematopoietic, cytoprotective, and intestinal responses. These findings identify 10-NO2OA as a promising candidate radioprotective agent and support a multifactorial mechanism of action.

Accurate hippocampal electric field (E-field) prediction is important for individualized electroconvulsive therapy (ECT) dosing and emerging deep-brain stimulation approaches such as temporal interference. Because hippocampal fields are far weaker than those beneath the stimulation electrodes, they are highly sensitive to tissue interfaces, conductivity contrasts, and numerical discretization, so numerical error can rival the physical uncertainties of anatomy and conductivity. We investigate this numerical component of hippocampal dosimetry using individualized head models from eleven ECT patients. Identical head40 segmentations, comprising 40 tissue compartments including the bilateral hippocampi, were simulated with three independent numerical methods: a charge-based boundary-element fast multipole method (BEM-FMM), a voxel-based hexahedral finite-element solver, and a conformal tetrahedral finite-element solver. For each, resolution was increased systematically and convergence assessed from the average hippocampal E-field magnitude. At the highest attainable resolutions, the three methods agreed closely, differing by 6%-7% in the left hippocampus and 9%-12% in the right. At default or coarse resolutions, however, they disagreed by 28.8% on average and up to 50.3% in the right hippocampus. Numerical convergence should therefore be established before differences are attributed to anatomical or conductivity uncertainty, and independent-solver agreement provides a practical basis for reliable hippocampal dosimetry.

Background: Cancer-associated fibroblasts (CAFs) contribute to systemic therapy resistance in muscle-invasive bladder cancer (MIBC), but their functional heterogeneity and relevance to curative bladder-preserving radiotherapy, are poorly understood. Methods: Transcriptomic analysis was performed on 279 tumours from BC2001, a phase 3 radiotherapy clinical trial. To study CAF heterogeneity, we integrated bulk RNA-seq, single-cell spatial analysis of multiplex immunofluorescence images and quantification of extracellular matrix (ECM) features in 155 MIBC biopsies. The functional heterogeneity of distinct CAF populations was evaluated by single-nuclear RNA-seq. Spatial interactions between CAF populations and CD8+ T-cells was assessed and the relevance of lymphocytes to radiation responses was evaluated in a CAF-enriched murine bladder cancer model (BBN963). Results: BC2001 patients with CAF-enriched tumours had worse overall survival (HR=1.671, 95% CI 1.221-2.287, Log-rank p=0.0012). CAF abundance and antigen expression was highly heterogenous. Podoplanin (PDPN) was expressed on the majority of CAFs and was associated with inflammatory pathways. Enrichment of CAF gene signatures was associated with a significant increase in CAFs expressing fibroblast activation protein (FAP) (p=0.004) and dense ECM features (p=0.0004). Fifty-three percent of tumours exhibited stromal CD8+ T-cell exclusion with significant enrichment in FAP-dominant neighbourhoods (p<0.001). In vivo, lymphocytes were critical for radiation-induced tumour control, indicating that immune cold or excluded tumours may have limited radiotherapy responses. Conclusion: In MIBC, CAFs are associated with poor radiotherapy outcomes. Multiple mechanisms are deployed by functionally-heterogeneous CAFs, including promotion of chronic inflammation by PDPN+ CAFs and ECM remodelling by FAP+ CAFs which impact CD8+ T-cell distribution and radiation responses.

Head and neck radiation oncology, with its complex locality and epidemiology, requires various imaging techniques to achieve sufficient visualization. Through collaboration with medical physicists, radiation therapists, radiation oncologists, and neuroradiologists, our group clinically implemented a standard set of magnetic resonance imaging (MRI) sequences on an MR-simulation scanner for three anatomical regions: skull base, oral cavity, and larynx/pharynx. A total of 41 patients with head and neck cancer and 3 volunteers were scanned on either a 1.5T or 3T MR-simulation scanner. Sequences described include Dixon-based approaches, SPAIR-based approaches, short T2-based approaches, and quantitative imaging methods. We describe and outline the steps to optimize these notable MRI sequences to aid in successful implementation in a radiation oncology clinic.

Radioresistance remains a major barrier to effective radiotherapy, yet its molecular determinants remain incompletely understood. Most radiogenomic studies infer radioresistance using surrogate endpoints rather than from clinically annotated treatment response data. Here, we analysed genomic, transcriptomic, immune and clinical features of 1,445 radiotherapy-treated patients across 15 cancer types represented in The Cancer Genome Atlas with documented radiotherapy outcomes. Cancer-type-specific somatic association analyses identified 132 significant candidate variant associations across six cancer types, including three previously unannotated coding variants in TCF20, PTPN14, and CADM1. Functional annotation showed that radioresistant tumours were enriched for cytoplasmic, protein-associated, and metabolic functions, whereas radiosensitive tumours were enriched for nuclear regulatory programs. Through transcriptomic analysis, we identified 107 differentially expressed genes across 8 cancer types, enriched for extracellular signalling, secretory programs, and tumour microenvironment interactions. The genomic and transcriptomic analyses revealed a limited gene overlap but converged on cellular adaptation and survival. Together, our findings suggest that radioresistance is characterised by complementary adaptive processes, whereby intracellular protein-regulatory and metabolic processes are coupled with extracellular signalling and tumour microenvironment interactions. Clinically, radioresistance was associated with significantly poorer overall survival, whereas the radiosensitivity index and inferred tumour immune composition showed limited concordance with observed treatment response. To our knowledge, this study provides the first pan-cancer characterisation of clinically defined radiotherapy response and identifies potential candidate biomarkers for functional validation.

Background: Human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC) shows higher prevalence of lymph node metastases than HPV-negative OPSCC. It remains unclear whether HPV-positive and HPV-negative OPSCC differ in occult metastasis risk, which is relevant to personalize elective nodal treatment volumes. Methods: We performed a retrospective analysis of 780 untreated OPSCC patients from four European centers. Patterns of lymph node level involvement (LNLs I, II, III, IV, V, VII) were assessed using a consensus diagnosis integrating imaging (CT, MRI, PET) and pathological findings from surgically treated patients. Occult metastases were assessed in 288 surgical patients with paired clinical and pathological information. Results: HPV-positive patients more frequently presented with ipsilateral LNL II involvement, particularly in early T-stage disease (80.6% [75.6-84.8] vs. 54.8% [47.2-62.2]). However, the probability of downstream involvement in LNLs III and IV conditioned on upstream LNL involvement was similar between HPV-positive and HPV-negative patients. Similarly, contralateral involvement conditioned on midline extension of the primary tumor was similar. The overall proportion of occult metastases, defined as clinically false-negative LNLs divided by pathologically positive LNLs, was lower in HPV-positive patients (24.7% [19.7-30.1] vs. 48.7% [39.7-57.8]). Conclusions: HPV-positive OPSCC showed higher prevalence of LNL involvement, especially in ipsilateral LNL II and early T-stage tumors. The data to directly compare occult metastasis risk has important limitations and does not allow definitive conclusions. However, the presented data suggests that higher prevalence likely does not translate into higher risk of occult metastases for the most common clinical diagnoses and therefore does not support larger elective nodal treatment volumes compared with HPV-negative tumors.

Background: Brain-penetrant histone deacetylase inhibitors (HDACi) are promising radiosensitizing agents for glioblastoma (GBM). HDAC inhibitors can impair DNA damage response (DDR) pathways and promote persistent DNA damage. Here, we evaluated whether combined inhibition of HDAC and the DNA repair kinase, ataxia-telangiectasia mutated (ATM), could synergize with radiation (IR) and improve therapeutic efficacy in GBM. Methods: In vitro dose-response assays were performed in patient-derived xenograft (PDX)-derived glioma stem cells (GSCs) with both inhibitors of HDAC (quisinostat, QST) and ATM (AZD1390) with or without IR treatment to assess synergy. Pharmacodynamic responses were evaluated by immunoblotting for histone acetylation, DDR signaling, and DNA damage markers. Transcriptomic analyses were performed to evaluate treatment-associated changes in DNA repair pathways. The combination of QST, AZD1390, and IR was further evaluated in an orthotopic GBM survival study. Results: Combined treatment with QST and AZD1390 produced synergistic radiosensitization in multiple GSC models in vitro. Furthermore, QST combined with IR suppressed transcription of homologous recombination (HR) pathway genes in GSCs, impairing double-strand break repair capacity through an epigenetic mechanism that does not directly inhibit ATM kinase activity. Pharmacodynamic analyses confirmed that QST increased histone acetylation while AZD1390 suppressed ATM signaling, together impairing complementary mechanisms to increase radiosensitivity of GSCs. In an orthotopic GBM model, QST combined with IR significantly prolonged survival compared with IR alone. However, the addition of AZD1390 did not provide a significant survival benefit beyond QST+IR, and AZD1390 combined with IR did not significantly improve survival relative to IR alone. Conclusions: Combined HDAC and ATM inhibition with QST and AZD1390 enhances radiosensitivity in patient-derived GBM cells, mechanistically underpinned by QST-mediated increase in DNA damage and dual disruption of DDR through complementary, non-overlapping mechanisms. However, this in vitro synergy did not confer additional survival benefit beyond QST+IR in an orthotopic GBM model under the dosing conditions tested, suggesting pharmacological limitations with the tumor microenvironment or suboptimal dosing schedules may have constrained in vivo efficacy.

Objectives To assess the effectiveness of our proposed urinary segmentation method based upon image processing, and to contrast its performance against various approaches. Subjects and Methods Non-contrast-enhanced computed tomography (NCCT) scans of instances with stone disease were collected. An experienced urologist and a senior radiology resident generated ground truths by manually drawing the regions of interest (ROIs) of stone samples. The proposed method took loosely defined ROIs as input and included three steps: (1) finding mean_HU_rim, the mean Hounsfield unit (HU) of the stone rim, on each NCCT slice by an edge detection operator; (2) considering pixels with HU higher than the minimum value of all the mean_HU_rim; and (3) removing noise. The entire data was divided into a developing set of 406 samples to evaluate the performance of the proposed method as well as to fine-tune a nnUNetv2 model and a comparison test set of 125 samples to compare the performance and inference time of various segmentation methods. In addition, the reproducibility of our method was tested on the 30 samples randomly selected from the entire data. Results A total of 531 stone samples from 287 instances were included. Our method showed a high level of agreement with the ground truth in the developing set, with the median (interquartile range) Dice coefficient of 0.86 (0.81 - 0.89). The reproducibility of our method was remarkably high with the median (interquartile range) Dice coefficient of 1.0 (0.991 - 1.0). On the comparison test set, our semi-automatic segmentation outperformed the fixed thresholding and deep-learning-based methods. Lastly, the inference time of the proposed method was less than a second. Conclusion The proposed semi-automatic approach provided a consistently reliable, simple, and robust method to segment urinary stones.

Purpose: There is an unmet need in the treatment of triple-negative breast cancer (TNBC), as recurrence rates remain high; thus, novel treatment strategies are warranted to improve outcomes for patients. Smac mimetics (SMs) are small molecules that inhibit the inhibitors of apoptosis. In this study, we investigated the properties of the SM Xevinapant (AT406) as a radiosensitizer in TNBC. Methods: TNBC cell lines were treated with Xevinapant (AT406) in the presence or absence of ionizing RT and cell viability and apoptosis measured in vitro. Clonogenic assays were performed to confirm radiosensitization. We also assessed xevinapant radiosensitization in the presence of the Tumor Necrosis Factor (TNF) cytokine, which has been shown to enhance SM-induced apoptosis. Radiosensitization mechanisms were further validated by western blotting, flow cytometry and cell cycle analysis. Results: We show that Xevinapant increased cell death in a panel of irradiated TNBC cell lines. In clonogenic assays, Xevinapant sensitized MDA-MB-231 cells to RT-induced cell death, and this was significantly enhanced in the presence of TNF, with a dose-enhancing factor (DEF) of 1.57. We also show that Xevinapant radiosensitization is mediated by TNF-dependent apoptosis. Conclusions: Xevinapant is a radiosensitizer that enhances RT-induced cell death in TNBC cells, and TNF is central to this process through activation of apoptosis. These results are promising for combining RT with Xevinapant to improve local control in TNBC.

Glioblastoma (GBM) is characterized by near-universal recurrence and resistance to therapy. Although tumor-intrinsic mechanisms of radiation resistance have been extensively studied, how the extracellular matrix influences signaling in radiation-resistant GBM remains poorly understood. Here, we investigated discoidin domain receptor 1 (DDR1), a collagen-activated receptor tyrosine kinase, using matched radiation-sensitive parental and radiation-resistant patient-derived GBM models generated through serial in vivo irradiation. Within a three-dimensional collagen I matrix, radiation-resistant GBM cells exhibited distinct temporal patterns of Ki-67 positivity and ERK1/2 phosphorylation compared with parental cells. Despite increased DDR1 expression, radiation-resistant cells exhibited markedly reduced DDR1 phosphorylation and enhanced ectodomain shedding, characterized by accumulation of the membrane-associated C-terminal fragment and release of the N-terminal fragment. DDR1 depletion reduced ERK1/2 phosphorylation, supporting its contribution to ERK1/2 signaling under these conditions. ADAMTS1 was markedly upregulated in radiation-resistant cells, and its knockdown reduced DDR1 ectodomain shedding while increasing full-length DDR1 abundance, ERK1/2 and RB phosphorylation, cyclin D1 expression, and Ki-67 positivity. Together, these findings reveal a distinct DDR1 regulatory state in acquired radiation-resistant GBM, characterized by enhanced ADAMTS1-associated ectodomain shedding, reduced receptor phosphorylation, and attenuated proliferative signaling within a three-dimensional collagen I matrix.

Voxel-level prediction of treatment response from longitudinal fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) can enable spatially adaptive dose planning in advanced non-small cell lung cancer (NSCLC), but point predictions alone lack the uncertainty quantification needed for safe clinical decision-making. Standard conformal prediction (CP) provides distribution-free coverage but yields spatially uniform intervals and assumes exchangeability, an assumption violated by intra-tumoral spatial correlation. We propose a multiscale CP framework built on a re-optimized VoxelForecast generalized least squares model that explicitly captures voxel-level covariance. Variogram sensitivity analysis identified the Stable model as significantly superior to the previously used Matern family. The framework combines hierarchical nested leave-one-patient-out calibration, which restores exchangeability for valid voxel-level coverage, with residual-variance CP (VarCP), which learns a heteroscedastic, location-dependent scale to produce adaptive intervals while preserving finite-sample marginal coverage guarantees. On two prospective NSCLC trial cohorts, FLARE-RT (N=25 locally advanced, chemoradiotherapy; 11,100 voxels) and BRIGHT (N=19 metastatic, chemoimmunotherapy; 26,980 voxels), multiscale feature integration reduced voxel-level prediction error by 35% and 31%, respectively. VarCP maintained nominal coverage while producing 7-18% (FLARE-RT) and 4-8% (BRIGHT) narrower voxel-level intervals than a hierarchically calibrated standard CP baseline (paired Wilcoxon signed-rank, significant at most miscoverage levels), with comparable lesion-level gains (7-18% and 6-10%) via median-based aggregation of voxel residuals. VarCP delivers tighter yet mathematically guaranteed spatial uncertainty maps, supporting both voxel-level dose adjustment and whole-lesion treatment planning in advanced NSCLC.

Purpose To assess whether follow-up MRI, biopsy status, and timing of cribriform disease detection predict active surveillance (AS) failure in a contemporary transatlantic cohort. Materials and Methods. Retrospective MRI-driven AS cohort of 619 men at two academic centers (UK/USA), 2012-2024. Primary outcome: AS failure (disease-specific mortality, metastasis, grade group [GG] [&ge;]4 progression, or post-treatment biochemical recurrence). Key exposures: final MRI and biopsy status, timing of cribriform [&ge;]GG2 detection. Cumulative incidence was derived; independent predictors used multivariable Fine-Gray models. Results. Over median follow-up of 6.4 years, 39/619 men (6%) experienced AS failure. Cribriform [&ge;]GG2 was detected in 82/619 (13%) on follow-up biopsy versus 24/619 (4%) at baseline, comparably in baseline GG1 (10%) and non-cribriform GG2 (9%), and only in MRI-visible tumors. Three-year AS failure after final biopsy was 31% in men with cribriform [&ge;]GG2 versus 0-2% with stable or non-cribriform disease; 44% of failures had stable MRI. On Fine-Gray analysis, cribriform [&ge;]GG2 was the only independent predictor of AS failure in re-biopsied men (SHR 30; 95% CI 5.2-167; P<0.001); no type of MRI progression category was independently predictive. Among 595 men cribriform-negative at baseline, 6-year AS failure after a second biopsy was 34% if cribriform [&ge;]GG2 was detected versus 7% if still cribriform-negative. Conclusions. Cribriform status at follow-up biopsy independently predicts AS failure, whereas MRI progression does not. The three-fold higher cribriform prevalence at follow-up likely reflects baseline sampling error. Because newly detected cribriform tumours were exclusively MRI-visible, early repeat biopsy of patients with MRI-visible disease may considerably improve risk stratification.