Radiotherapy and Oncology

Background and purpose: Radiation-induced lymphopenia is associated with adverse outcomes in thoracic malignancies. FLASH radiotherapy delivers radiation over a timescale of hundreds of milliseconds, potentially reducing the fraction of irradiated circulating lymphocytes. In this study, we investigated whether FLASH mitigates lymphopenia after thoracic irradiation delivered with protons or photons. Materials and methods: C57BL/6 mice received three 13.5-Gy whole-heart fractions at 48-hour intervals using FLASH or standard dose-rate proton irradiation at the University of Pennsylvania (n=15), with photon validation at Queen's University Belfast (n=72). Leukocytes and CD4 T cells, CD8 T cells, B cells, and NK cells were quantified by hemocytometer and flow cytometry. A continuous-time Markov model simulated lymphocyte trafficking, dose accumulation, and post-irradiation recovery. Results: FLASH attenuated leukocyte depletion across both proton and photon irradiation modalities. In the proton cohort, white blood cell counts were significantly higher after FLASH at D1, D3, D7, and D14; CD4 T cells and NK cells were preserved through D14, while CD8 T cell sparing persisted through D21. Photon FLASH preserved CD45 leukocytes at D1, D3, D7, and D21, with sustained CD8 sparing at D21. Modeling showed that FLASH shifted the lymphocyte dose distribution toward lower exposures, increasing the proportion of lymphocytes receiving <1 Gy from 2.4% to 16.4%, and reduced the proportion of lymphocytes repeatedly irradiated across all three fractions from 36.3% at standard dose rate to 9.18%, despite similar median cumulative doses. The spleen contributed substantially to cumulative lymphocyte dose, and marrow-entering lymphocytes displayed a more high-dose-enriched distribution after FLASH irradiation. Conclusion: FLASH consistently mitigated radiation-induced lymphopenia for proton and photon modalities, with durable CD8 T cell preservation. These findings support a kinetic mechanism and provide a rationale for combining FLASH radiotherapy with immune-sparing planning and immunotherapy.

Herein, we assess the potential of low-dose stereotactic radiosurgery (SRS) to modulate neuronal network states without apparent damage to cellular integrity. Using a small animal radiation research platform (SARRP), a 1 mm3 focal target in the mouse visual cortex was irradiated with doses of 5, 20, and 40 Gy. One-month later a significant dose-dependent increase in excitatory synapse numbers was observed, notably limited to the treated visual cortex and not the adjacent somatosensory cortex. Six months post-irradiation, cortical neuronal microcircuit activity was monitored in awake mice using high sensitivity two-photon calcium imaging. A single 5 Gy dose resulted in a significant microcircuit-wide increase of spontaneous neuronal activity, consistent with a lasting shift in the functional architecture of the irradiated nodal network. At higher SRS doses (40 Gy) this neuromodulatory window appears to close. In aggregate, these data suggest that low-dose radiation could, in some circumstances, be exploited by selected high precision SRS technologies to durably modulate neuronal circuit disorders. Some, or even all the clinical benefits reported in the companion article by Zhao et al. are likely attributable to the biological properties we sought to characterize in our research. One Sentence SummaryLow-dose stereotactic radiosurgery effectively and durably modulates neuronal excitability via synaptic re-organization and could open new clinical possibilities for neuromodulation.

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.

Purpose Radiation injury to growth plates commonly leads to skeletal late complications including short stature, limb length-discrepancy, and scoliosis/kyphosis in pediatric oncology patients. We aimed to understand the acute responses of direct growth plate irradiation that result in skeletal late complications. Materials and methods We first established an in vivo model of focal growth plate irradiation that recapitulates the clinical development of skeletal late complications and used it to explore the responses of growth plate chondrocytes within the first 72 hours of radiation exposure. To monitor acute effects of radiation exposure on human chondrocytes, rare human growth plate biopsies were exposed to ionizing radiation ex vivo. Using these approaches, we applied clonal genetic tracing and immunofluorescence to monitor changes at the cellular and molecular levels. Functional in vivo perturbations were conducted with clinically-relevant autophagy inhibitor, hydroxychloroquine. Results Growth plate irradiation disrupted the continuous production of chondrocytes required for bone elongation and was associated with DNA damage throughout the growth plate. Indicators of growth plate activity, SOX9 and the phosphorylated form of ribosomal protein S6, decreased during a 6- and 24-hour post-irradiation window but returned to normal levels 72 hours after irradiation. We identified a surge in autophagic flux throughout the growth plate during this window, based on temporal SQSTM1 and LAMP1 protein levels. The earliest stages of these response mechanisms are conserved between species and relevant to humans. Hydroxychloroquine treatment immediately after radiation injury in mice impaired growth plate regeneration, resulting in more severe late complications. Conclusion Our findings demonstrate that autophagy is an important acute response to irradiation in growth plate chondrocytes, revealing a novel potential therapeutic target for preventing radiation-induced skeletal late complications.

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.

Radiotherapy is common practice to treat cancer but produces significant side effects such as chronic pain. Cancer survivors report developing chronic pain due to their treatment even long after the cancer is cured. To understand the mechanisms underlying the radiotherapy-induced chronic pain, we assessed how ionising X-ray radiation exposure during 4 consecutive days of 5 Gy (total radiation dose of 20 Gy) affected dorsal root ganglia (DRG) sensory neurons (rodent F11 cell line). On the 5th day, we assessed known impacts of ionising radiation (senescence, oxidative stress, cellular metabolism, mitochondrial copy number, and mitochondrial respiration) followed by assessing expression of genes associated with populations of DRG neuronal fibres. We discovered that fractionated exposure to ionising radiation increased senescence, mitochondrial copy number, and modulated the NAD+/NADH pathway, but did not change the oxygen consumption rate nor induce oxidative stress 24 hours after the last irradiation exposure. Additionally, ionising radiation altered the expression of genes associated with mechanoreceptor fibres, known to have pro-nociceptive properties in the context of injury and chronic pain.

Ulcerative colitis (UC) and radiation enteropathy involve intestinal epithelial injury, barrier dysfunction, and inflammation, but effective treatments remain limited. This study evaluated MXC-017, a novel vimentin-targeting urea compound, in mouse models of dextran sulfate sodium (DSS)-induced colitis and radiation-induced enteropathy. Acute colitis was induced in C57BL/6 mice using 3.5% DSS for seven days, followed by regular water for seven days. Radiation enteropathy was induced by 13 Gy total abdominal irradiation. Mice received MXC-017 (150 mg/kg) or vehicle. Disease activity, intestinal permeability, inflammatory and epithelial markers, and histopathology were assessed. MXC-017's effects on cancer stem cell frequency, sphere formation, and migration were also examined in PC-3 and DU-145 prostate cancer cells. MXC-017 reduced DSS-induced colitis severity, accelerated weight recovery, lowered disease activity, partially preserved colon length, and restored barrier function. It also reduced proinflammatory cytokines, macrophage infiltration, epithelial injury, and goblet cell loss while preserving epithelial proliferation and markers of intestinal stem cell function and tight-junction integrity. Following irradiation, MXC-017 improved weight recovery, reduced intestinal permeability, preserved epithelial architecture, and partially mitigated villus shortening. Importantly, MXC-017 did not protect prostate cancer stem cells from radiation. Instead, it reduced stem cell frequency, sphere-forming capacity, and cancer cell migration. These findings support vimentin targeting with MXC-017 as a potential treatment for UC and radiation-induced intestinal toxicity and as an adjunct to radiotherapy for pelvic and abdominal malignancies.

Abstract Purpose: To compare scalar circulating blood dose summaries, assess whether associations with grade 3 or higher lymphopenia and overall survival persisted after planning target volume (PTV) adjustment, and distinguish scalar from exploratory dynamic blood dose analyses. Methods and Materials: The assembled dataset included 133 patients from 2 retrospective thoracic radiation cohorts; 121 entered the dosimetric main analysis and 116 passed a post hoc dosimetric gate. Six scalar exposures were compared: an ICE3 (Immune Circulation radiation Exposure Estimator Engine) 10 compartment mean-dose metric, corrected effective dose to immune cells (EDIC), body remainder dose, a hematological dose (HEDOS) derived organ-mean approximation, mean lung dose, and mean heart dose. Logistic base models included baseline absolute lymphocyte count, concurrent chemotherapy, and cohort; PTV was then added. Overall survival used cohort-stratified Cox models on an endpoint-specific common set. Benjamini Hochberg correction was applied within prespecified 6exposure families and, separately, across 3 selected post hoc bootstrap contrasts. Results: The lymphopenia analysis included 94 patients and 69 events. After PTV adjustment, the HEDOS derived approximation remained nominally associated (odds ratio, 2.54; 95% confidence interval, 1.18-5.45; P=.017; q=.102), but no exposure survived false-discovery-rate control. The survival set contained 92 patients and 42 deaths; no PTV adjusted scalar exposure was associated with survival (all q>=.531). In post hoc analyses, the standardized association of mean heart dose with overall survival was more positive than that of ICE3 (difference in log hazard ratios, 0.44; 95% CI, 0.13 0.94; multiplicity-adjusted q=.024). The corresponding contrast with the HEDOS derived approximation did not meet the adjusted significance threshold (q=.053). These coefficient contrasts do not establish superior predictive performance or causality. Exported ICE3 kinetic summaries had no false-discovery-rate-significant residual associations. A 13 case HEDOS bDVH audit showed little change under one continuous versus 10 second gap perturbation. Conclusions: PTV adjustment attenuated scalar blood-dose associations with severe lymphopenia, and no scalar exposure retained a multiplicity-robust survival association. The selected mean heart dose coefficient contrast is hypothesis generating and does not establish superior prediction. The primary cohort comparison evaluated a HEDOS derived organ-mean approximation rather than the full dynamic HEDOS framework; therefore, these findings should not be interpreted as evidence against the potential value of particle level blood dose distributions or time-dependent blood-flow modeling.

Background: Radiotherapy is a cornerstone of treatment for pediatric central nervous system (CNS) tumors, but dose selection remains largely uniform despite substantial interpatient variability in tumor radiosensitivity. This limitation is particularly consequential in children, in whom radiation-associated toxicity has lifelong impact. The genomic-adjusted radiation dose (GARD), which integrates tumor genomics with delivered radiation dose, quantifies the biological effect of radiotherapy and has been validated across multiple adult malignancies. Its relevance in pediatric CNS tumors remains unknown. Methods: We performed a retrospective cohort study using gene expression and clinical data from 246 pediatric patients with high-grade glioma, medulloblastoma, or ependymoma from the Childrens Brain Tumor Network. GARD was calculated using a sequencing-adapted radiosensitivity index integrated with radiation dose via the linear-quadratic model. Associations between GARD, physical radiation dose, and clinical outcomes (event-free survival and overall survival) were evaluated using Cox proportional hazards models stratified by tumor type and anatomic location. Patients who did not receive radiotherapy were analyzed as a negative control cohort (sham-GARD). Results: Among patients receiving radiotherapy, physical radiation dose was relatively uniform, yet GARD demonstrated substantial interpatient variability in predicted biological effect. Higher GARD was significantly associated with improved event-free survival (hazard ratio [HR] 0.90, 95% CI 0.83-0.97; p=0.004) and overall survival (HR 0.90, 0.83-0.99; p=0.018). By contrast, physical radiation dose was not associated with either endpoint. In patients who did not receive radiotherapy, sham-GARD was not associated with outcomes, supporting its role as a treatment-specific predictor rather than a general prognostic biomarker. Conclusions: In pediatric CNS tumors, the biological effect of radiotherapy as quantified by GARD is associated with clinical outcomes, whereas physical dose alone is not. These findings challenge the current paradigm of uniform radiotherapy dosing and support a genomically informed approach to dose individualization. Prospective evaluation of GARD-guided radiotherapy is warranted to optimize tumor control while minimizing long-term toxicity in children.

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.

Purpose: Clinical assessment of vertebral lesion quality (osteolytic, osteoblastic, mixed) remains subjective, with limited interobserver reliability. This study evaluated a novel application of 3D convolutional neural networks (3D-CNNs) for classifying lesion quality from CT volumes in metastatic cancer patients. Materials and Methods: This retrospective study used CT data from 151 cancer patients planned for radiotherapy for metastatic spine disease (September 2020-July 2024). Leveraging vertebra-level expert annotations, we introduced an unconventional U-Net-based strategy converting coarse voxel-wise predictions into vertebra-level lesion classifications. The final dataset comprised 2,125 vertebrae across four classes (no lesion, osteolytic, osteoblastic, mixed), split into a 3-fold cross-validation set and an independent holdout test set. Model performance was benchmarked against a DenseNet121 baseline and a musculoskeletal radiologist, with Cohen's kappa assessing inter-rater agreement. Results: The 3D model achieved an ensemble accuracy of 84.7%, outperforming DenseNet121 (72.1%), with substantial gains in F1 score, precision, and balanced accuracy. It showed high concordance with the radiologist (Cohen's kappa = 0.76) and comparable sensitivity and specificity across all lesion subtypes. We found both models and the radiologist to struggle with osteolytic lesions, reflecting the difficulty of distinguishing this class from age-related changes in vertebral bone density and architecture caused by benign bone lesions, age-related systemic skeletal disorders and cancer treatments. Conclusions: 3D-CNNs trained with vertebra-level labels can accurately and reliably classify vertebral metastatic lesion quality from CT scans, offering a scalable path toward automated characterization of metastatic spine disease to support clinical decision-making and large-scale radiomics research.

Background. Treatment of locally advanced rectal cancer (LARC) increasingly varies in radiotherapy use, sequence, and intensity. Pretreatment biomarkers for the mismatch-repair-proficient majority remain limited: the biopsy-adapted Immunoscore predicts neoadjuvant response and recurrence risk, but no available biomarker estimates intrinsic tumor radiosensitivity or guides radiotherapy dose, use, or sequence. Genomic Adjusted Radiation Dose (GARD) combines the biopsy-derived Radiosensitivity Index (RSI) with the prescribed dose-fractionation schedule through the linear-quadratic model to estimate tumor-specific modeled radiation effect. We sought to evaluate whether pretreatment GARD is prognostic for outcomes in radiotherapy-treated LARC. Patients and methods. We performed a retrospective pooled analysis of 497 patients with LARC drawn from four prospective clinical trial and institutional cohorts; 335 patients (67%) were prospectively enrolled in clinical trials. The cohort spanned induction chemotherapy followed by chemoradiotherapy (CRT) (n=142), CRT followed by consolidation chemotherapy (n=120), and CRT without sequential chemotherapy (n=235). Pretreatment gene expression was measured by microarray or RNA sequencing and harmonized across platforms before GARD calculation. The primary endpoint was disease-free survival (DFS). GARD was evaluated continuously using cohort-stratified Cox regression and dichotomized at the outcome-blind pooled-cohort median of 19.3. Multivariable models adjusted for age, sex, and clinical stage. Results. Median follow-up was 5.3 years. Among 456 patients evaluable for DFS, 99 experienced an event. Higher GARD was associated with longer DFS as a continuous variable (hazard ratio [HR] per 1-unit increase, 0.92; 95% CI, 0.86-0.99; p=0.027) and at the median threshold (GARD >19.3 versus <19.3: HR, 0.62; 95% CI, 0.41-0.92; p=0.021). Five-year DFS was 81% versus 73%, and 10-year DFS was 80% versus 66%, respectively. GARD remained independently associated with DFS after adjustment for age, sex, and clinical stage (HR, 0.92; p=0.023). Overall survival (OS) was directionally consistent but not statistically significant (HR per 1-unit increase, 0.94; p=0.18). Among 445 patients with evaluable Neoadjuvant Rectal (NAR) scores, higher-GARD patients had lower median NAR scores (8.4 versus 15.0; p=0.004), were more frequently classified as low risk (34% versus 21%), and were less frequently classified as high risk (23% versus 31%). Among 460 patients evaluable for pathologic complete response (pCR), the pCR rate was numerically higher with higher GARD (22% versus 15%; odds ratio per 1-unit increase, 1.07; p=0.09). Conclusions. Pretreatment GARD, a biology-based model of tumor-specific radiation effect, stratified DFS independently of clinical stage and was associated with NAR-defined pathologic response across contemporary treatment sequences. These findings provide multicohort evidence of prognostic validity but do not establish prediction of radiotherapy benefit. Prospective GARD-stratified trials should test whether incorporating tumor radiosensitivity into decisions about radiotherapy use, dose, and sequence improves tumor control and organ preservation while reducing treatment-related morbidity.

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 AND PURPOSE: ROAM/EORTC-1308 is an international (Europe and Australasia) phase III randomised controlled trial (RCT) comparing radiotherapy (60Gy/30#) to observation after surgery for atypical meningioma. The treatment plans of all the patients randomised to radiotherapy were reviewed and approved prior to treatment delivery, either by the UK RTTQA group (European sites) or the Australian TROG (Australia and New Zealand). Pretrial credentialling included outlining and planning a benchmark case (DR). MATERIALS AND METHODS: Variations from the guidelines were noted in quality assurance (QA) reports both for DR and for the on-trial Individual Case Reviews (ICRs) and classed as major or minor. After recruitment had finished, a random 10% of the ICRs were independently reviewed for audit purposes. We used the QA reports to analyse the variations in the DR and in the ICRs RESULTS: 56 sites (20 UK, 25 EORTC, 11 TROG) undertook the DR of which 13 (23%) had major variations. During the trial 64 patients at 28 sites received radiotherapy, the median being 2 patients per site. Overall, 25 (39%) patient cases needed resubmitting: 22 (36%) sets of outlines (2 cases twice) and 12 (14%) treatment plans (1 plan twice). CONCLUSIONS: For complex radiotherapy of rare tumours, a DR is insufficient and prospective ICRs of all patients is required. The consistent high-quality radiotherapy in ROAM/EORTC1308 ensures the primary outcome (progression free survival) will be a robust assessment and any difference between treatment arms cannot be attributed to variation in radiotherapy treatment.

Radiosensitizing nanoparticles represent a promising approach for enhancing the efficacy of proton radiotherapy; however, their performance is constrained by restricted penetration into tumor tissue, resulting in preferential perivascular accumulation. Here, we develop a spatially distributed mathematical model of a growing tumor undergoing proton therapy with intravenously administered radiosensitizing nanoparticles to investigate treatment optimization strategies. Using physiologically plausible parameter ranges informed by our own experimental measurements and published data, we demonstrate that co-administration of targeted nanoparticles with antibodies binding to the same tumor receptors can overcome transport-induced localization and promote a more uniform intratumoral redistribution of nanoparticles before irradiation. Population-level simulations across heterogeneous parameter sets suggest that moderate antibody doses consistently prolong tumor regrowth time, whereas higher antibody doses produce a pronounced and robust increase in tumor cure probability under a single high-dose irradiation regimen representative of preclinical settings. A key conceptual result of our analysis is the asymmetric risk associated with antibody co-administration. In contrast to antibody--drug conjugates, for which excessive dosing of unconjugated antibodies may severely compromise therapeutic efficacy, co-administration of antibodies with nanoparticle-based radiosensitizers constitutes a "safe-by-design" strategy with respect to tumor cell kill in the modeled single high-dose irradiation setting: although excessive antibody doses may yield suboptimal outcomes, they cannot reduce tumor cell kill below that achieved with targeted nanoparticles administered without antibodies. These findings identify antibody-mediated spatial redistribution of radiosensitizing nanoparticles as a favorable strategy that is expected to provide robust therapeutic benefit despite substantial variability in tumor characteristics.

Routine H&E-histopathology captures spatial snapshots of tumor ecosystems, yet computational pathology largely treats them as textures without explicit links to underlying kinetics. We show that patient-specific parameters of a mechanistic reaction-diffusion model can be inferred from a single biopsy. Cell-nucleus point patterns are fitted jointly to the analytical two-point correlation function and power spectral density, recovering patient-specific mechanistic proliferation and diffusion rates across eleven multicenter cohorts. Derived dispersion length and front velocity define mechanistic phenotypes stratifying progression-free and overall survival and adding information independent of routine covariates. We illustrate counterfactual radiotherapy simulations in glioblastoma and show that a virtual clinical trial deescalating histology-calibrated faster-growing tumors to hypofractionation while dose-intensifying slower-growing tumors adds 96.7 days of restricted mean progression-free in silico survival over standard of care (permutation p<0.001 against random allocation to the same arms). This provides a low-barrier transition from routine histopathology to mechanistically interpretable model-based forward simulations.

Background: Brachytherapy delivers localized radiation from sources placed within or adjacent to tissue at risk. In brain tumor surgery, intracavitary implantation can begin at resection and concentrate dose along the cavity wall, where many recurrences arise. Current preoperative GammaTile tools estimate tile requirements but not patient-specific placement, resulting dose, or adjacent anatomy. We developed an integrated software framework for patient-specific virtual GammaTile planning. Methods: The framework incorporates AI-assisted tumor and cavity segmentation with user approval, converts accepted masks into patient-derived surfaces, supports virtual tile placement, calculates lifetime Cs-131 dose using TG-43, maps dose distributions to HCP-MMP cortical parcels and normative HCP-1065 white-matter bundles, and supports AI-assisted synthesis of the resulting complex anatomical and connectomic output for clinician review. We retrospectively applied it to three patients with glioblastoma. Tile requirements were compared with the GammaTile Cavity Surface Area Calculator. For Patient 1, calculated 60- and 80-Gy volumes were compared with the clinical plan. Results: Preoperative layouts required 6.5, 7, and 4 tile equivalents for Patients 1-3; calculator estimates were higher by 1.5, 4, and 1 tiles. Postoperative differences narrowed to 1, 1, and 0 tiles. The plans generated patient-specific lifetime dose distributions at 60, 80, and [&ge;]120 Gy. In Patient 1, calculated and clinical 60- and 80-Gy volumes were similar despite incomplete spatial overlap. Atlas mapping revealed distinct cortical and white-matter exposure patterns across cases beyond lobar description. Conclusions: Patient-specific virtual GammaTile planning can connect anticipated tile placement with calculated dose and adjacent neuroanatomy. These cases demonstrate feasibility and establish a framework for prospective validation and future comparison of candidate implant arrangements.

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.

Purpose: To quantify the dosimetric effect of residual intrafraction motion during gated MR-guided prostate stereotactic body radiotherapy with simultaneous integrated boost to the dominant intraprostatic lesion, and to derive and evaluate target-specific, population-based margins designed to mitigate motion-induced coverage loss. Materials and Methods: Thirty patients were treated on a 1.5-T MR-Linac with 36.25, 40, and 45 Gy prescribed to the planning target volume, clinical target volume (CTV), and gross tumor volume (GTV), in 5 fractions. Across 150 fractions, segment-level dose matrices synchronized with time-resolved target displacements were combined to reconstruct per-fraction and cumulative dose. Directional prescription-isodose deviations were used to derive internal target volume margins, which were evaluated through offline replanning, gating-envelope analysis, and dose reconstruction. Results: Median 95th-percentile motion ranges were 0.5, 1.4, and 2.9 mm in the left-right, anterior-posterior, and superior-inferior directions; these exceeded 3 mm in 0.7%, 13.2%, and 47.7% of fractions, respectively. The median treatment time was 13.2 min (IQR, 12.0-15.1 min) with a median gating duty cycle of 93.2% (80.6%-97.8%). Per-fraction median GTV deviations were -1.2% (-2.4% to -0.1%) for D95 and -5.6% (-15.3% to -0.2%) for V45Gy; corresponding CTV deviations were -0.5% (-1.1% to -0.1%) and -2.1% (-4.1% to -0.4%). Cohort-derived margins of 2/2/1/2/1/2 mm for the GTV and 1/1/1/2/1/2 mm for the CTV in the left/right/anterior/posterior/superior/inferior directions achieved sufficient coverage in approximately 94% of fractions in each direction. Gated delivery using the proposed margins improved coverage but may reduce duty cycle by an average of 6.9 +/- 4.7 %. Conclusion: Residual intrafraction motion produced directionally asymmetric coverage loss, with the largest effect on the boosted GTV. Motion-inclusive dose reconstruction enabled derivation of practical asymmetric margins that improved robustness while identifying the tradeoff between target coverage and delivery efficiency.