Citations

Lay Summary This multicenter study evaluated clinical outcomes in pregnancy for women with ulcerative colitis and an ileal pouch-anal anastomosis. Close monitoring is needed with a multidisciplinary team for management of inflammatory complications of the pouch such as pouchitis in pregnancy and postpartum.

Abstract Background Trials in Lewy body dementia (LBD) rely on scales and measurements created for Alzheimer’s disease and Parkinson’s disease. Industry and regulatory authority stakeholders and LBD triallists have recognised the absence of an LBD‐specific scale as critical unmet need in the drug development pipeline. Heterogeneity in LBD trials design, particularly concerning outcome measures, precludes effective evidence synthesis and data harmonisation. We describe the development of the Lewy Body Dementia‐Domain Rating Scale (LBD‐DRS) and a proposed roadmap for adoption and validation. Method Led by a core working group and steering committee, a three‐round Delphi survey process was used to establish consensus around the conceptual framework and preliminary content of the LBD‐DRS among invited LBD researchers and clinicians. “Consensus” was established when ≥75% of respondents concurred on any survey statement or questions. Result Consensus around the need for an LBD‐specific scale, specifically for use in early LBD, was established. After feedback was received for two early versions of LBD, a third version of LBD‐DRS has been further developed. This third version, and the results of the second Delphi survey round will be presented. A pragmatic approach, favouring an inclusive scoring approach for symptoms has been adopted, recognising that further iterations will be required once field data becomes available. Conclusion After consensus on the conceptual framework and preliminary content is established, the authors will consult with a broader range of stakeholders, including people living with LBD and their care partners, will be required to further develop LBD‐DRS. Engagement with regulatory bodies and the pharmaceutical industry will guide further development before validation studies are pursued.

Abstract Background Dementia with Lewy bodies (DLB) is a prevalent form of dementia associated with neuronal alpha‐synuclein aggregates (Lewy bodies). Symptoms include cognitive impairment, fluctuations, neuropsychiatric features including psychosis, sleep disorders, and dysautonomia. DLB is the most expensive form of dementia, and there are currently no treatments approved by the US FDA. Given the advent of sensitive and specific in vivo biomarkers for synuclein aggregation, drug developers are increasingly interested in DLB. FDA instituted Patient‐Focused Drug Development (PFDD) meetings in 2012 with the purpose of ensuring that patients’ experiences, perspectives, needs, and preferences are captured and meaningfully incorporated into drug development and evaluation. Method In October 2024, the Lewy Body Dementia Association (LBDA) and the Alzheimer’s Association (ALZ) co‐hosted an externally‐led PFDD (EL‐PFDD) meeting on DLB. Thirty days before the event, LBDA solicited public comment on the lived experience of DLB, the current state of treatment, and what people with DLB value in potential future therapies. During the live meeting, people with DLB, care partners and family members described their experiences and responded to live polling questions. Result The EL‐PFDD was attended by 347 people with DLB and care partners, drug developers (both industry and academic), FDA staff, and NIH staff. Preliminary analysis of the discussion content and survey responses shows several themes emerging from the meeting. The most bothersome and impactful symptoms varied over the course of the disease, but included cognitive impairment and fluctuations, neuropsychiatric symptoms, and sleepiness. Concerns for the future included progressive decline in cognition, changes in behavior/mood, and cost of care. Limitations to current treatments included lack of FDA‐approved medications, and side effects and lack of efficacy associated with “off label” medications. Priorities for future treatments included symptomatic treatments that do not worsen other DLB symptoms, slowing disease progression, accessibility/insurance coverage, and avoiding side effects. Conclusion The EL‐PFDD on DLB provided valuable information for drug developers and regulators to understand the lived experience of people with DLB and care partners. The results will be documented in a “Voice of the Patient” report that will be hosted at www.lbda.org/el‐pfdd .

PURPOSE To compare patient-reported and clinical outcomes between radical cystectomy (RC) and bladder-sparing therapy (BST) in patients with recurrent high-grade non–muscle-invasive bladder cancer (NMIBC). PATIENTS AND METHODS This pragmatic, prospective observational cohort study was designed with patients, who selected and prioritized outcomes. Eligible adults were candidates for both RC or BST, had previous induction Bacillus Calmette-Guérin (BCG), and received their last treatment within 12 months. The primary outcome was the EORTC-QLQ-C30 physical function scale at 12 months. Secondary outcomes included other EORTC-QLQ-C30 scales, depression, anxiety, bladder cancer–specific quality of life (QOL), financial burden, and cancer-specific outcomes. Targeted maximum likelihood estimation (TMLE) was used to calculate average treatment effect (ATE) estimates between arms. Inverse probability weighted risk ratios (wRR) were calculated using quasi-Poisson regression. RESULTS Of 570 participants (mean age 71.4 years; 21% female), 371 selected BST and 199 selected RC. Physical function was significantly worse in the RC arm at 3 months; by 9 months, there was no difference between arms, and at 12 months, physical function did not differ (ATE, 0.9; 95% CI, –0.6 to 2.4; P = .22). RC was associated with better emotional function, generic health-related QOL, and financial burden, and lower depression and anxiety, while BST was associated with better bowel and sexual health. Cancer-specific survival was 99% for BST versus 96% for RC (wRR, 0.99; 95% CI, 0.97 to 1.01). RC was associated with a higher risk of adverse events and serious adverse events, including a 90-day mortality rate of 2.5%. CONCLUSION Most patient-prioritized outcomes were similar or better among participants who chose RC compared with BST. These findings support the continued role of RC in managing recurrent high-grade NMIBC.

Abstract Background Standardizing beam modeling in the treatment planning system is challenging due to machine‐specific configuration variations. Because of the proton therapy system (PTS) complexity and continuous development, there is no vendor's representative (“golden”) beam data like in LINACs at this stage. Purpose The primary goal of this study is to create a PTS‐specific repository of source model parameters and beam commissioning data for scanning proton therapy treatment planning systems and establish a set of reference values with associated bands of variations for this data. Methods We conducted a survey of 31 PTSs at 27 proton therapy centers to gather beam commissioning source model parameters used in their treatment planning system, ensuring a diverse selection of PTSs from major vendors: Hitachi, IBA, Varian, and Mevion. For each proton therapy center, we collected (i) beam meterset calibration in protons per MU, (ii) in‐air spot size at isocenter in terms of standard deviation in x‐ (crossline, σ x ) and y‐ (inline, σ y ) directions, (iii) in‐air angular spread at isocenter in x‐direction (θ x ) and y‐direction (θ y ) and (iv) distal falloff. For each PTS, we plotted each parameter as a function of nominal energy and performed polynomial regression analysis with optimal model selection based on Akaike Information Criterion. We calculated intraclass correlation coefficients (ICC) to quantify inter‐PTS variability and generated uncertainty bands representing standard deviations across PTSs for each parameter. Additionally, we computed percentage deviations of each individual PTS from the overall multi‐vendor mean to identify systematic vendor‐specific patterns and outliers across the 31 total PTSs analyzed. Results Multi‐vendor beam parameter analysis across 31 PTSs revealed systematic vendor‐specific patterns in inter‐PTS consistency and energy dependencies. Beam meterset calibration demonstrated excellent inter‐PTS consistency across most vendors (ICC: Varian ProBeam ≈ 0, IBA Proteus ONE = 0.006, Mevion S250i with HYPERSCAN = 0.015), with IBA Proteus PLUS systems showing moderate variation (ICC = 0.156 for the dedicated nozzle, ICC = 0.248, for the universal nozzle). Spot size and angular spread variability were highly vendor‐dependent, ranging from excellent consistency in IBA Proteus ONE to substantial variation in IBA Proteus PLUS with the universal nozzle (angular spread ICC = 0.566). Distal falloff maintained excellent consistency across all vendors (ICC < 0.023), indicating reliable energy spread characteristics. Uncertainty band analysis revealed characteristic energy‐dependent patterns, with most systems showing larger uncertainties at lower energies for spot size and angular spread, while IBA Proteus PLUS with the universal nozzle exhibited the largest uncertainty bands overall. Percentage deviation analysis demonstrated vendor‐specific clustering patterns, with some systems showing systematic positive or negative deviations from the multi‐vendor mean. Conclusions The reference data provided in this work will help to cross‐check the beam model during treatment planning system commissioning. Furthermore, this information is useful for Monte Carlo applications and research, where beam characteristics are required to set up phase space parameters, thereby avoiding the need to model the entire PTS. Finally, the results of this study will have indispensable educational value by providing valuable insights into the characteristics and capabilities of different PTSs.

ABSTRACT Background Medial sural artery perforator (MSAP) flaps are favored in head and neck reconstruction for skin paddle pliability, pedicle length, and low donor site morbidity. We sought to characterize MSA vascular branching patterns based on the Dusseldorp et al. classification system using pre‐operative lower extremity computed tomography angiogram (CTA). Methods We conducted a retrospective review of 153 scans from 78 patients who underwent CTA prior to head and neck reconstruction at our institution. Primary data points included MSA branching pattern, branch dominance, and vessel depth. Results The type IIa branching type was most prevalent and the MSA lateral branch most frequently dominant, and they were significantly related to one another. There was no significant difference in depth between branching patterns. Conclusions Lower extremity CTA provides valuable insight to vascular anatomy for MSAP flap harvest. The type IIa and IIb types may be associated with lateral and medial MSA dominance, respectively.

ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO Guidelines Methodology Manual . ASCO Guidelines follow the ASCO Conflict of Interest Policy for Clinical Practice Guidelines . Clinical Practice Guidelines and other guidance (“Guidance”) provided by ASCO is not a comprehensive or definitive guide to treatment options. It is intended for voluntary use by clinicians and should be used in conjunction with independent professional judgment. Guidance may not be applicable to all patients, interventions, diseases or stages of diseases. Guidance is based on review and analysis of relevant literature, and is not intended as a statement of the standard of care. ASCO does not endorse third-party drugs, devices, services, or therapies and assumes no responsibility for any harm arising from or related to the use of this information. See complete disclaimer in Appendix 1 and Appendix 2 (online only) for more. PURPOSE To provide guidance on the recommended management of cancer in pregnant patients. METHODS A multidisciplinary Expert Panel convened and conducted a systematic review of the literature. RESULTS The systematic review identified 450 eligible studies. Much of the evidence consisted of observational data, case series, and case reports. RECOMMENDATIONS Management of cancer during pregnancy should be grounded in a values-based informed-consent process outlining maternal and fetal risks and anticipated benefits. Diagnostic evaluation should follow the as low as reasonably achievable (ALARA) principle, with timing of diagnostic studies individualized based on urgency of cancer detection, potential dangers of delay, and the balance of risks to both the pregnant patient and her embryo or fetus. Due to significant risk of harm to the developing embryo and/or fetus, systemic therapy should be deferred until the second trimester. Methotrexate, hormonal therapies, human epidermal growth factor receptor 2–targeted agents, vascular endothelial growth factor and poly (ADP-ribose) polymerase inhibitors, antibody-drug conjugates, and all cellular therapies are contraindicated during pregnancy, regardless of gestational age. For patients who wish to continue their pregnancy, delivery should be planned at or after 37 weeks, with the final chemotherapy dose scheduled 2-4 weeks before birth. Referral to psychosocial support services is essential to address emotional and practical challenges, reduce distress, and support shared decision making. Additional information is available at www.asco.org/survivorship-guidelines .

Abstract The benefit of rituximab maintenance after first-line (1L) bendamustine-rituximab (BR) in patients with mantle cell lymphoma (MCL) remains uncertain, with inconsistent results from the phase 2 MAINTAIN trial and several retrospective studies. We conducted a large retrospective study at 27 US and Canadian academic centers to examine the benefit of rituximab maintenance after BR. A total of 911 patients received 1L BR between 2010 and 2020, and 703 had an objective response and no evidence of disease progression at the 3-month post-BR landmark. Among those, 394 (56%) received rituximab maintenance and 309 (44%) did not, with largely similar baseline patient and disease characteristics. In the landmark analysis, rituximab maintenance was associated with improved event-free survival (EFS; median, 49.9 vs 29.7 months; P&lt; .001) as well as overall survival (OS; median, 109.5 vs 74.2 months; P&lt; .001). The EFS and OS benefits were observed across most of the subgroups. EFS and OS differences were statistically significant in those who achieved a complete response to 1L BR (n = 590; median EFS, 62.7 vs 31.1 months [P&lt; .001]; median OS, 136.1 vs 75.3 months [P&lt; .001]), but the analysis among those who achieved a partial response to 1L BR was limited by the small sample size. These results provide additional evidence for the survival benefit of rituximab maintenance after BR in MCL and support its use in clinical trial design and routine practice.

Background Cardiovascular disease (CVD) is a leading cause of death in cancer survivors. Predicting CVD risk in this population remains challenging. Risk prediction models that use machine learning algorithms could provide an objective method for accurate risk prediction to facilitate the prevention and management of CVD in cancer survivors. We evaluated previously tested machine learning algorithms and logistic regression (regularized by machine learning methods), in addition to testing and validating newer, more complex machine learning algorithms, for CVD prediction in cancer survivors. Methods This multicenter study used a database of 3835 multiracial cancer survivors with 89 clinical, laboratory, and echocardiographic features over 20 years. Models were trained using repeated random and time‐split samples and tested on a separate cohort of 329 patients. Model performance was assessed using the area under the receiver operating characteristic curve. Results Regularized logistic regression achieved an area under the receiver operating characteristic curve of 0.845 (heart failure), 0.783 (atrial fibrillation), 0.792 (coronary artery disease), and 0.806 (composite CVD). These are comparable to 0.837 and 0.848 for heart failure, using Bayesian additive regression tree and random forest as more advanced machine learning models, respectively. De novo composite CVD (post‐cancer diagnosis) was also predicted with an area under the receiver operating characteristic curve of 0.826 using regularized logistic regression, compared with 0.735 and 0.802 using decision tree and random forest, respectively. Conclusions Regularized logistic regression and advanced machine learning models demonstrated similar predictive performance, with institutional transferability. These tools may support risk stratification and prevention strategies in cardio‐oncology using longitudinal data. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT05377320.