Citations

Abstract Poly ADP ribose polymerase inhibitors (PARPi) are being investigated in combination with photon and proton radiotherapy in clinical trials of pediatric and adult malignancies. The precise mechanisms of PARPi radiosensitization, and whether differences in photon and proton-mediated relative efficacy exist, have not been fully elucidated. To study mechanisms of PARPi radiosensitization we investigated the effects of PARPi in combination with photons and two different ionizing densities of protons delivered at the entrance (ENT) or the Bragg peak (BP) of the profile (dose-averaged LET [LETd] 2.2 and 7.0 keV/µm, respectively) of a 76.8 MeV proton beam after observing an extreme tumor and normal tissue response in an 18-year-old female patient with high grade glioma treated veliparib and proton therapy in a Children’s Oncology Group clinical trial. BRCA1/2 wild-type hTERT RPE-1, U2OS, and MDA-MB-231 cells were hypersensitive to the combination of veliparib and proton BP, with enhanced relative biological effectiveness (RBE) at 2 Gy values of 1.7, 1.4, and 1.3, respectively. Similar findings were observed with talazoparib and olaparib, suggesting that PARP trapping efficiency was not a major influence on the proton BP RBE. Further, we did not observe differences in transcription replication conflict between the different proton ionizing densities. Unexpectedly, DNA fiber assays revealed more elongated replication fork tracks in PARPi treated cells 60 minutes after proton BP compared with proton ENT, indicative of accelerated replication fork progression. To assess gap formation in the vicinity of nascent DNA we treated cells with the ssDNA-specific S1 nuclease and found that the lengths of CldU-labeled tracks were significantly reduced in cells treated with the PARPi/proton BP combination, suggestive of greater gap formation at replication forks. We postulated that more ssDNA gaps were being converted to DSBs during replication as we further observed that PARPi/proton BP resulted in increased γH2AX foci at 4- and 24-hours after treatment. Consistent with increased DSB formation, a higher proportion of cells arrested in the G2/M phase of the cell cycle at 24 hours following PARPi/proton BP. Despite being arrested in G2/M when homologous recombination is active, there was a significant increase in 53BP1 and a decrease in RAD51 recruitment, indicative of upregulated repair by more error-prone non-homologous end-joining (NHEJ) repair pathway. The enhanced proton BP RBE in PARPi treated cells was abrogated upon knockdown of XRCC4, a critical component of NHEJ repair pathway, suggesting that toxic NHEJ may be contributing to the enhanced proton BP RBE. In conclusion, PARPi renders cells hypersensitive to high LET BP proton irradiation. Enhancing the LET in combination with PARPi warrants further investigation to overcome therapeutic resistance. Citation Format: Yiqun Han, Qin Zhou, Anna Olson, Cameron M. Callaghan, Bin Chen, Nicholas B. Remmes, Meng Xu Welliver, Zheming Wu, Daniel K. Ebner, Jake A. Kloeber, Zhenkun Lou, Robert W. Mutter. Poly ADP ribose polymerase inhibitors potentiate proton therapy end-of-range relative biological effective dose by increasing replication stress [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 4689.

PURPOSE Survival for patients with melanoma has recently improved. The propensity of melanoma to metastasize to the brain remains a common and serious feature of this disease. The purposes of this study were to evaluate prognostic factors for patients with newly diagnosed melanoma brain metastases (MBMs) in a large cohort treated with modern multimodal therapies, compare those results with those in prior eras, and update the Melanoma Graded Prognostic Assessment (GPA). METHODS Univariable and multivariable (MVA) analyses of prognostic factors and treatments associated with survival were performed on 1,796 patients with newly diagnosed MBM treated between January 01, 2015, and December 31, 2021, using a multi-institutional retrospective database. Multiple imputation was used to address missingness of potential predictors. Significant variables in combined MVA were used to update the Melanoma GPA. Comparisons were made with legacy cohorts. RESULTS Median survivals for cohorts A (1985-2007, n = 481), B (2006-2015, n = 823), and C (2015-2021, n = 1,796) were 6.7, 9.8, and 16.6 months and median follow-up times were 40.1, 43.6, and 48.8 months, respectively. In combined MVA, significant prognostic factors for survival were higher Karnofsky Performance Status, fewer MBMs, absence of extracranial metastases, lower serum lactate dehydrogenase, and no immunotherapy before MBM. These factors were incorporated into the updated Melanoma GPA. The combined median and 3-year survivals for patients with GPA 0-1, 1.5-2, and 2.5-4.0 were 5.4, 13.2, and 43.2 months and 12.4%, 28.8%, and 51.6%, respectively. CONCLUSION Prognostic factors have changed and survival has improved for patients with MBM but varies widely by GPA. The updated Melanoma GPA calculator (BrainMetGPA), available free online, can be used to estimate survival, individualize treatment, stratify clinical trials, guide surveillance, and augment clinical trial eligibility. Multidisciplinary treatment is essential. Trials are needed to elucidate the optimal sequencing of various therapeutic modalities.

Objectives/Goals: Our study’s objective is to evaluate RadOnc-GPT, a GPT-4o powered LLM, in generating responses to in-basket messages related to prostate cancer treatment in the Radiation Oncology department. By integrating it with electronic health record (EHR) systems, the goal is to assess its impact on clinician workload, response quality, and efficiency in healthcare communication. Methods/Study Population: RadOnc-GPT was integrated with patient EHRs from both hospital-wide and radiation-oncology-specific databases. The study examined 158 pre-recorded in-basket message interactions from 90 non-metastatic prostate cancer patients. Quantitative natural language processing analysis and two randomized single-blinded grading studies, involving four clinicians and four nurses, were conducted to evaluate RadOnc-GPT’s response quality in completeness, correctness, clarity, empathy, and estimated editing time. Response times were measured to estimate the time saved for clinicians and nurses. The study population included patient messages across all phases of care (pre-, during, and post-treatment) for those undergoing radiotherapy. Results/Anticipated Results: In the single-blinded grader study, clinician graders evaluated 316 responses (158 from human care teams and 158 from RadOnc-GPT). Results showed RadOnc-GPT outperformed human responses in empathy and clarity, while humans excelled in completeness and correctness. Sentiment analyses using TextBlob and VADER revealed RadOnc-GPT responses had a positive mean score of 0.25, whereas human responses clustered around neutral. VADER analysis indicated a high median score for RadOnc-GPT, nearing 1.0, reflecting predominantly positive sentiment, while human responses displayed a broader sentiment range, indicating sensitivity to context. Clinicians averaged 3.60 minutes (SD 1.44) to respond, compared to 6.39 minutes (SD 4.05) for nurses, highlighting RadOnc-GPT’s efficiency in generating timely responses. Discussion/Significance of Impact: RadOnc-GPT effectively generated responses to individualized patient in-basket messages, comparable to those from radiation oncologists and nurses. While human oversight is still necessary to avoid errors, RadOnc-GPT can speed up response times and reduce pressure on care teams, shifting their role from drafting to reviewing responses.

425 Background: Prostate cancer (PC) ranks among the most prevalent cancers in men, with incidence rising due to factors like aging populations and enhanced screening techniques. Effective data extraction from clinical records is crucial for advancing research and improving patient care; however, traditional manual methods can be time-consuming and susceptible to mistakes. This study seeks to evaluate RadOnc-GPT against human annotation for extracting essential clinical information from prostate cancer clinical records. Methods: RadOnc-GPT is a retrieval augmented generation (RAG)-based chatbot with access to a variety of patient data including treatment details, radiology reports, and clinical notes. RadOnc-GPT uses Open AI’s gpt-4o model. Patients who received curative intent radiotherapy as initial treatment for PC in our institution between 2014 and 2023 were randomly selected for evaluation. Relevant Clinical factors were extracted by a human expert annotator on our on-site RedCap database. The extraction of the same variables was performed using RadOnc-GPT. A comparison between the ground truth (human annotation) and RadOnc-GPT, to evaluate the performance of the AI system, was carried out including accuracy, recall and F1 score. Results: A total of 382 PC patients were included in the cohort for data extraction. The clinical variables extracted were the treatment intent, NCCN risk category, T and N stage, Gleason score, radiation volume, and Androgen Deprivation therapy (ADT) use. The overall performance of RadOnc-GPT was excellent, with the highest accuracy achieved for treatment intent (99.7%), Gleason score (98.4%), and Treatment Volume (90.1-99.5%). Conclusions: RadOnc-GPT performed excellent at extracting relevant clinical details from the electronic medical record and radiation oncology information systems with dramatic reduction in time and cost compared with manual review. LLMs could be highly useful for large-scale data extraction in PC research, offering a promising solution for automating the accurate data extraction process. Correct (n) Total (n) Accuracy Recall F1 score RT with curative intent 381 382 99.7 99.9 99.9 Prostate Cancer Risk Category 345 382 90.3 90.4 95.1 Primary tumor staging (T) at diagnosis 368 382 96.3 96.3 97.9 Regional nodal status (N) at diagnosis 352 382 92.1 92.2 95.9 Gleason Score Primary Secondary Total 376372376 382382382 98.497.498.4 98.597.498.5 99.298.799.2 Treated Areas Prostate Pelvic Nodes Para-Aortic Nodes Distant Site 380344378372 382382382382 99.590.19997.4 99.490.199.197.4 99.79599.598.7 ADT Use with RT 365 382 95.5 95.7 97.8

424 Background: Advances in prostate cancer (PC) care have led to a 98% 10-year survival rate. Prostate Specific Antigen (PSA) is the primary method of follow-up after definitive radiotherapy (RT), with benign PSA ‘bounce’ occurring in up to 30% of patients, causing uncertainty and anxiety. Distinguishing between PSA bounce and biochemical recurrence (BCR) remains challenging. The Phoenix Criteria is the standard definition of BCR since 2006, defined as PSA nadir + 2 ng/dl, but does not consider patient specific information. Our study aims to explore factors associated with bounce and BCR and develop a predictive tool to differentiate between these two events. Methods: PC patients who received RT at our institution between 2006 and 2022 were identified, including only patients with a PSA increase during follow-up. Exclusion criteria included palliative RT, prostatectomy, or insufficient follow-up information. Patients’ clinical data was collected, and PSA increase was classified as bounce or BCR. Variables were compared using Kruskal Wallis or Chi-square. Multivariate logistic regression was performed in the subset of patients with absolute PSA value >2 (n= 581). Results: Of 1783 patients reviewed due to PSA rise after treatment, 694 met the inclusion criteria. There were 213 (30.7%) with PSA bounce and 481 (69.3%) with recurrence. Prior to meeting the Phoenix Criteria, 20 (4.2%) had biopsy-proven recurrence and 18 (3.7%) imaging-proven recurrence. The median delta PSA was 0.8 ng/mL for bounce vs 5 ng/mL for recurrence (p<0.001). The median time from treatment to event was 14.4 months for bounce vs 45.3 months for BCR (p<0.001). Recurrence was significantly associated (p<0.001) with older age at diagnosis, N1 stage, higher risk category, Gleason score, and higher baseline PSA. In the subgroup of patients without ADT, recurrence was associated with a lower median first PSA post-RT (1.9 vs. 2.4, p=0.046) and a lower median nadir before event (0.6 vs. 1.8, p<0.001). Multivariate logistic regression achieved an accuracy of 0.94, with a sensitivity of 0.83, specificity of 0.98, and an area under the curve (AUC) of 0.97. Conclusions: Our results highlight significant differences in clinical factors between bounce and recurrence in post-RT patients. The multivariate logistic regression differentiated the events with 94% accuracy for patients with a rising PSA value >2 subgroup. We highlight the possible improvement that could be accomplished by personalizing a PSA threshold for recurrence versus the Phoenix definition. This tool offers patients and providers a highly specific tool to differentiate between PSA recurrence and bounce, and may reduce stress and unnecessary testing, or help diagnosis recurrence faster. Next steps include prospective validation of the model to assess the impact on clinical practice costs, patient experience, and cancer outcomes.

89 Background: With estimates of over 150,000 incident and 50,000 fatal colorectal cancer (CRC) cases in 2024, efforts are ongoing to improve the national screening performance and engagement in the US. The Centers for Medicare & Medicaid Services (CMS) have established criteria for covering new blood-based CRC screening tests if minimum CRC sensitivity and specificity thresholds are met. However, the current blood-based tests are challenged by their relative inability to detect advanced precancerous lesions (APLs). At present, the importance of APL versus CRC sensitivity on screening outcomes remains undetermined. To address this knowledge gap, we conducted a simulation study to compare the screening effectiveness and outcomes of a hypothetical blood-based test across a range of sensitivities for CRC and APL detection. Methods: Outcomes were simulated using the CRC-AIM microsimulation model, which has been previously calibrated and validated. Predicted outcomes were calculated for average-risk individuals screened triennially with a blood-based test between ages 45-75 years, assuming perfect adherence. Base-case screening sensitivity and specificity inputs were based on CMS minimum thresholds (74% CRC sensitivity, 90% specificity) with assumed 10% APL sensitivity. Additional scenarios considered an increase in either APL or CRC sensitivity. Outcomes of interest included life years-gained (LYG), CRC incidence, and mortality reductions. Results: Compared to the CMS minimum performance (Table), increasing APL sensitivity by 1% (from 10% to 11%) resulted in a similar increase in LYG as compared to increasing CRC sensitivity by 11% (from 74% to 85%). Additionally, increasing APL sensitivity by 1% resulted in greater reductions in CRC cases and deaths (3% decrease) as compared to increasing CRC sensitivity by 11% (0% and 1% reductions, respectively). Conclusions: Data from this study show that increased APL sensitivity is a key determinant of screening-related outcomes, such as LYG, derived from a blood-based strategy, and that similar results would require much larger increases in CRC sensitivity. With the current CMS minimum performance threshold, blood-based tests that are designed to have high APL sensitivity can outperform tests with higher CRC sensitivity and little to no APL sensitivity. Comparison of CRC screening health outcomes with CMS proposed minimum threshold blood-test versus hypothetical tests with either increased APL and CRC sensitivity. APL Sensitivity CRC Sensitivity CRC Specificity Follow-up Colonoscopies CRC Cases (% reduction) CRC Deaths (% reduction) Life-Years Gained (LYG) (% increase) 10% 74% 90% 809 50 (ref) 18 (ref) 220 (ref) 11% 74% 90% 813 48 (-3%) 17 (-3%) 226 (3%) 10% 85% 90% 809 50 (0%) 18 (-1%) 227 (3%) APL: Advanced precancerous lesions; CRC: Colorectal cancer.

88 Background: There are an estimated 60 million individuals in the US who are not up-to-date with average-risk colorectal cancer (CRC) screening, as screening rates and adherence have remained stubbornly below the national target of 80%. Efforts are ongoing to improve CRC screening performance and participation, including the development of new blood-based tests. Despite high expectations for these tests, performance remains lower than other guideline-recommended strategies, particularly with respect to advanced precancerous lesion (APL) sensitivity. We conducted a simulation study of estimated clinical and economical outcomes for CRC screening with a blood-based test (at perfect adherence) compared to the multi-target stool-DNA (mt-sDNA) test (at published adherence rates). Methods: Utilizing CRC-AIM, a calibrated and validated microsimulation model, CRC screening outcomes were calculated for 1 million average-risk individuals screened between ages 45-75 years with triennial blood-based versus mt-sDNA testing. CRC and APL sensitivity and specificity inputs were derived from two large clinical validation studies for these screening modalities: ECLIPSE (NCT04136002) and DeeP-C (NCT01397747), respectively. To demonstrate the maximum benefits and burdens of blood-based screening, adherence to initial screening and follow-up colonoscopy after a positive blood test was modeled at 100%, while real-world adherence estimates of 65.6% were used for the mt-sDNA test. Outcomes of interest included life years-gained (LYG) and CRC cases missed by the blood-based test compared to the stool-based test, additional treatment costs imposed by theblood-based test, and additional CRC-related deaths per 1 million screened. Results: Compared to triennial screening with mt-sDNA at real-world adherence, blood-based screening at perfect adherence resulted in a higher number of incident (n=18,464) and fatal (n=6,483) CRC cases that would been avoided with the mt-sDNA test. Over a lifetime, screening with blood-based tests required 1,276,310 more tests (21% more) and 52,942 additional follow-up colonoscopies (7% more) compared to mt-sDNA screening. This increased testing burden did not generate additional benefits and instead reduced life-years gained by 67,645 per 1 million screened, resulting in an additional $1.6 billion in treatment costs compared to the mt-sDNA strategy. Conclusions: Data from this CRC-AIM modeling study show that even with perfect adherence, blood-based screening yields inferior clinical and economic benefits compared to mt-sDNA screening, due to suboptimal APL detection with the former test.

Objectives: To describe member adherence to a mail-based, health insurer-sponsored gap closure program for colorectal cancer (CRC) screening using multi-target stool DNA (mt-sDNA; Cologuard ® ) tests. Methods: Combined patient data from Exact Sciences Laboratories LLC and data from mass-mailed mt-sDNA orders placed by a large Medicare Advantage Insurance Plan were analyzed (03/01/2023-06/30/2023). Adherence and time to test return were the primary and secondary outcomes, respectively. Their association with patient characteristics was evaluated using multivariable regression. Results: Among the 3201 member-patients included (86.6% aged 65-75 years; 58.7% female), adherence rate was 49.4%, and mean time to test return was 25.5 days. After multivariable adjustment, the odds of test return were significantly higher among 65- to 75-year-olds (odds ratio [OR] = 1.59 relative to 45- to 64-year-olds), those living in small towns (OR = 1.43 relative to metropolitan-located individuals), and with digital outreach via both SMS and email (OR = 4.31 relative to no digital outreach). Time to test return was shorter in 65- to 75-year-olds than in 45- to 64-year-olds and was not associated with other patient characteristics. Conclusions: Mass-mailed mt-sDNA tests for CRC screening were associated with an overall adherence rate of about 50% in this Medicare Advantage population, with higher likelihood of test return among patients receiving digital outreach.

Background: Autologous arteriovenous fistulas (AVF) are the preferred choice for hemodialysis access due to their longevity, lower complication rates, and mortality benefit. Their use is limited by vein size and necessary maturation period, excluding up to a third of patients. A novel solution to this problem is pump-assisted vein dilation (PAVD), where the vein is “pre-matured” using a miniatured centrifugal pump that draws blood from a central vein, delivering it into the recipient vein (e.g., cephalic) under pressure. The aim of this study is to report the initial safety studies in sheep and a first-in-human (FIH) pilot study as a prelude to a phase 2 clinical study. Methods: Preclinical Study: Three anesthetized male sheep (50-70 kg) underwent cephalic PAVD using the Amplifi Vein Dilation System for 7 days (mean). These subjects and two control animals (no-PAVD) underwent brachiocephalic AVF creation and observation for 6 weeks, with weekly surveillance fistulagrams and duplex ultrasound (U/S). AVFs were then explanted for histological analysis. Clinical Study: Ten patients were recruited for a phase 1 study. They underwent cephalic PAVD for 7 days (mean), followed by brachiocephalic AVF creation and surveillance at 2 and 6 wks. Data on vein diameter and flow rates of the AVF were collected, as well as safety data on complications such as bleeding, infection, and embolism. Results: Preclinical Study: PAVD increased mean±SD vein diameter (mm) from 4.5±1.0 to 8.4±1.0 (p=0.005); leading to greater cephalic vein diameter at the time of AVF creation in the PAVD group vs no-PAVD (8.2±1.3 vs. 3.3±0.7; p<0.05). After 6 wks of maturation, mean vein diameter was still greater in the PAVD group compared to no-PAVD (12.8±2.8 vs. 8.4±0.7; p<0.05). Mean flow increased at 41 mL/min/day versus control animals at 5.2 mL/min/day. Clinical Study: All subjects saw an increase in vein diameter with PAVD at baseline vs. at 6 wks (2.3±0.5 vs. 5.2±0.7; p<0.05), as well as mean flows (mL/min) (285±30 vs. 724±149). There were no Amplifi-related or procedure-related serious adverse events. Conclusion: The translation of PAVD for AVF creation from bench-to-bedside provides safety and efficacy data on a novel solution that can increase the availability of autologous AVFs in patients excluded due to size criteria. The Amplifi vein dilation system can effectively and rapidly dilate peripheral veins without stimulating neointimal hyperplasia. PAVD should be explored in a phase 2 clinical study.

Abstract Introduction: Blood-based tests represent a compelling option for early detection and management of cancers and other chronic diseases. While blood-based tests may offer potential to increase patient engagement, the assumption of greater adherence in clinical practice requires further evaluation. This systematic review aimed to evaluate the real-world adherence to established blood-based tests for commonly recommended screening indications, to better inform expectations for proposed application to average-risk colorectal cancer (CRC) screening. Methods: A systematic search of PubMed, Embase, and citations was performed to identify literature published from 2010 to 2023. Studies examined adherence to routine blood-based laboratory tests with a Grade A or B recommendation per the United States Preventive Services Task Force (USPSTF) for diabetes, dyslipidemia, human immunodeficiency virus (HIV), and hepatitis C virus (HCV) in an average-risk patient population were included. In addition, prostate-specific antigen (PSA) testing adherence for prostate cancer screening (Grade-C USPSTF recommendation), the only commonly accessible blood-based single-cancer screening test for average-risk adults, was also included. Studies without venipuncture-derived blood were excluded. Results: Of 53,067 articles screened, 69 were included in the analysis. Overall, adherence rates of blood-based tests were highly variable, with median values (interquartile range, IQR) of 66.3% (11.8%), 67.8% (18.0%), 34% (28.7%), and 36.8% (30%) for diabetes, dyslipidemia, HCV, and HIV, respectively. PSA testing adherence was 37.2% (18.4%). Beyond disease type, adherence varied by study design, data source, patient characteristics, clinical setting, and study country. Information and selection bias were the most common risks of bias. Conclusions: Based on data from this comprehensive systematic review, real-world adherence to currently recommended, blood-based screening strategies is suboptimal. Future research is needed to identify the extent to which these data are generalizable to blood-based CRC screening, and to determine if/how this candidate strategy would impact clinical, economic, and health equity outcomes. Citation Format: Quang A. Le, Takako Kiener, Heather A. Johnson, Rukaiyya S. Khan, Joyce Kong, Kevin H. Li, Gina Thompson, A. Burak Ozbay, Mallik Greene, Paul J. Limburg, A. Mark Fendrick, John B. Kisiel, Derek W. Ebner. Systematic review of real-world adherence to blood-based laboratory tests for average-risk disease screening: potential implications for emerging colorectal cancer screening modalities [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A027.