Background: 24-hour urine (24HRU) assessments are a key component of International Myeloma Working Group (IMWG) response criteria for multiple myeloma (MM) and are requested longitudinally in clinical trials even if not routinely used in real-world practice. Several analyses have suggested a limited role for 24HRU if serum immunofixation or free light chain (LC) testing is abnormal (Dejoie Blood 2016, Lahuerta Blood 2023). Adopting urine-free response criteria (with 24HRU removal from every level of IMWG response) may change responses in <5% of patients (Natsuhara et al, Leuk Lymph 2023) but not have been studied in terms of progression-free survival (PFS) in a larger population. Methods: This was a secondary analysis of data from the Phase 3 BMT CTN 0702 (STaMINA) trial (Stadtmauer et al, JCO 2019) studying post-autologous stem cell transplantation (ASCT) strategies. Only patients evaluable for Day +56 response following ASCT were included, and patients with progressive disease (PD, n=8) at this timepoint were excluded. Post-ASCT responses relative to diagnosis were calculated by two sets of criteria. First, traditional responses were calculated per IMWG criteria (Kumar et al, Lancet Onc 2016) as stable disease (SD), partial response (PR), very good PR (VGPR), or complete response (CR, including stringent CR). Second, urine-free response assessments were calculated as follows: negative 24HRU immunofixation no longer required for CR, 24HRU M-protein < 100 milligrams (mg) per day no longer required for VGPR, and no 24HRU M-protein thresholds (e.g., < 200 mg per day or > 90% reduction) required for PR. PFS was estimated (using PD by traditional IMWG criteria or death as events) using proportional hazard models. Results: Of 636 evaluable patients (84% of all BMT CTN 0702 participants), LC-only disease was noted in 18.9% (n=120). Pre-enrollment 24HRU testing at diagnosis was done in 28.9% of patients (n=184). IMWG responses were as follows: CR, 29.4% (n=187) traditional vs 29.7% (n=189) urine-free; VGPR, 37.0% (n=235) traditional vs 36.6% (n=233) urine-free; PR, 30.7% (n=195) for both; SD, 3.0% (n=19) for both. A total of 4 responses (0.6%) changed with urine-free criteria. Three patients were ‘upgraded’ (VGPR to CR, n=2, PR to VGPR, n=1) because 24HRU requirements for CR/VGPR were no longer required. One patient without a measurable serum paraprotein was ‘downgraded’ from a traditional VGPR (with negative 24HRU immunofixation) to a urine-free PR based on LC-only criteria. Among the subset of 184 patients with 24HRU electrophoresis results at diagnosis, there were no differences between traditional and urine-free IMWG responses. Median PFS and 95% confidence intervals (CI) were the same at each depth of both traditional and urine-free criteria: 63.0 months (50.8 - 71.4 months) for CR, 49.6 months (42.6 - 55.1 months) for VGPR, 44.9 months (37.2-54.8 months) for PR, and 34.4 months (14.0-51.5 months) for SD. Urine-free IMWG criteria were highly prognostic for PFS (p = 0.006, 95% CI 1.05-1.36). The achievement of urine-free CR vs urine-free ≤CR was also prognostic (p = 0.005, 95% CI 0.54 - 0.89). Urine-free VGPR vs urine-free ≤VGPR was of borderline significance (p = 0.102, 95% CI 0.66 - 1.04), with median PFS 53.8 months (48.0 - 57.6 months) vs 44.6 months (36.3 - 54.7 months) respectively. Discussion: In this secondary analysis of a Phase 3 trial, omitting 24HRU assessments from IMWG criteria changed <1% of responses and had no impact on PFS prediction at any response depth. 24HRU assessments had been performed for less than a third of patients as standard of care prior to study entry, underscoring its infrequent use outside of trials. Urine-free IMWG assessments would reduce time toxicity and discomfort for patients, particularly for those with limited dexterity. If implemented in trials, they would also simplify study logistics and lower operational costs. Outside of situations such as AL amyloidosis where 24HRU assessments remain critical or for patients with urine as their only measurable MM biomarker, our results support the removal of 24HRU assessments from future iterations of IMWG response criteria. Funding: Grants #U10HL069294 and #U24HL138660 to the BMT CTN from the NHLBI and the NCI; contributions by Celgene Corporation and Millennium Pharmaceuticals, Inc.; funding by The Alliance for Clinical Trials in Oncology, the ECOG-ACRIN Cancer Research Group and SWOG.
636 A phase 1 trial of CUE-102, a novel WT1-pHLA-IL2-Fc T cell engager in HLA-A*0201 positive patients with WT1-positive recurrent/metastatic cancers
Abstract Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality worldwide including sub-Saharan Africa. The GALAD score, derived from Gender, Age, Lens culinaris agglutinin-reactive fraction of alpha fetoprotein, Alpha fetoprotein, and Des-carboxy-prothrombin, has high accuracy in diagnosing HCC in Asia, Europe, and North America; however, it has not been validated in an African cohort. The aim of this study was to assess the performance of the GALAD score in the diagnosis of HCC in sub-Saharan Africa. Clinical data from patients with cirrhosis (n = 93) or HCC (n = 78) from outpatient hepatology clinics at three teaching hospitals in Ghana were abstracted, and serum samples were analyzed. A logistic regression model predicting HCC status based on the GALAD score was constructed to obtain the ROC curve for GALAD. The AUC with 95% confidence interval (CI) was calculated. The median GALAD score was higher among patients with HCC versus cirrhosis controls (8.0 vs. −4.1, P < 0.01). The AUC of the GALAD score for HCC detection was 0.86 (95% CI, 0.79–0.92). At a cut-off value of −0.37, the GALAD score had a sensitivity of 0.81 and a specificity of 0.86. The AUC (95% CI) was 0.87 (0.80–0.95) and 0.81 (0.67–0.94) in hepatitis B virus–positive and hepatitis B virus–negative patients, respectively. The GALAD score has a high accuracy for HCC detection. It has great potential to improve HCC surveillance in sub-Saharan Africa where imaging resources are limited. Significance: The GALAD score or its relevant modifications have the potential to aid in improving HCC surveillance efforts in low-resource settings in sub-Saharan Africa. This could enhance early detection rates of HCC and potentially improve survival rates in resource-limited settings.
The Right Heart in Patients with Cancer. A Scientific Statement of the Heart Failure Association (HFA) of the ESC and the ESC Council of Cardio-Oncology
ImportanceExposure to repetitive head impacts (RHI) is associated with increased risk for neurodegeneration. Accumulation of toxic proteins due to impaired brain clearance is suspected to play a role.ObjectiveTo investigate whether perivascular space (PVS) volume is associated with lifetime exposure to RHI in individuals at risk for RHI-associated neurodegeneration.Design, Setting, and ParticipantsThis cross-sectional study was part of the Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of Chronic Traumatic Encephalopathy (DIAGNOSE CTE) Research Project, a 7-year multicenter study consisting of 4 US study sites. Data were collected from September 2016 to February 2020 and analyses were performed between May 2021 and October 2023. After controlling for magnetic resonance image (MRI) and processing quality, former American football players and unexposed asymptomatic control participants were included in analyses.ExposurePrior exposure to RHI while participating in American football was estimated using the 3 cumulative head impact indices (CHII-G, linear acceleration; CHII-R, rotational acceleration; and CHII, number of head impacts).Main Outcomes and MeasuresIndividual PVS volume was calculated in the white matter of structural MRI. Cognitive impairment was based on neuropsychological assessment. Linear regression models were used to assess associations of PVS volume with neuropsychological assessments in former American football players. All analyses were adjusted for confounders associated with PVS volume.ResultsAnalyses included 224 participants (median [IQR] age, 57 [51-65] years), with 170 male former football players (114 former professional athletes, 56 former collegiate athletes) and 54 male unexposed control participants. Former football players had larger PVS volume compared with the unexposed group (mean difference, 0.28 [95% CI, 0.00-0.56]; P = .05). Within the football group, PVS volume was associated with higher CHII-R (β = 2.71 × 10−8 [95% CI, 0.50 × 10−8 to 4.93 × 10−8]; P = .03) and CHII-G (β = 2.24 × 10−6 [95% CI, 0.35 × 10−6 to 4.13 × 10−6]; P = .03). Larger PVS volume was also associated with worse performance on cognitive functioning in former American football players (β = −0.74 [95% CI, −1.35 to −0.13]; P = .04).Conclusions and RelevanceThese findings suggest that impaired perivascular brain clearance, as indicated by larger PVS volume, may contribute to the association observed between RHI exposure and neurodegeneration.
Cardiovascular Toxicities of Immune Therapies for Cancer – A Scientific Statement of the Heart Failure Association (HFA) of the ESC and the ESC Council of Cardio-Oncology
ABSTRACT The advent of immunological therapies has revolutionized the treatment of solid and haematological cancers over the last decade. Licensed therapies which activate the immune system to target cancer cells can be broadly divided into two classes. The first class are antibodies that inhibit immune checkpoint signalling, known as immune checkpoint inhibitors (ICIs). The second class are cell-based immune therapies including chimeric antigen receptor T lymphocyte (CAR-T) cell therapies, natural killer (NK) cell therapies, and tumour infiltrating lymphocyte (TIL) therapies. The clinical efficacy of all these treatments generally outweighs the risks, but there is a high rate of immune-related adverse events (irAEs), which are often unpredictable in timing with clinical sequalae ranging from mild (e.g. rash) to severe or even fatal (e.g. myocarditis, cytokine release syndrome) and reversible to permanent (e.g. endocrinopathies).The mechanisms underpinning irAE pathology vary across different irAE complications and syndromes, reflecting the broad clinical phenotypes observed and the variability of different individual immune responses, and are poorly understood overall. Immune-related cardiovascular toxicities have emerged, and our understanding has evolved from focussing initially on rare but fatal ICI-related myocarditis with cardiogenic shock to more common complications including less severe ICI-related myocarditis, pericarditis, arrhythmias, including conduction system disease and heart block, non-inflammatory heart failure, takotsubo syndrome and coronary artery disease. In this scientific statement on the cardiovascular toxicities of immune therapies for cancer, we summarize the pathophysiology, epidemiology, diagnosis, and management of ICI, CAR-T, NK, and TIL therapies. We also highlight gaps in the literature and where future research should focus.
Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report
Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for improving the diagnosis and management of hypertension. AI technologies, including machine learning tools, could alter the way we diagnose and manage hypertension, with potential impacts for improving individual and population health. The development of successful AI tools in public health and health care systems requires diverse types of expertise with collaborative relationships between clinicians, engineers, and data scientists. Unbiased data sources, management, and analyses remain a foundational challenge. From a diagnostic standpoint, machine learning tools may improve the measurement of blood pressure and be useful in the prediction of incident hypertension. To advance the management of hypertension, machine learning tools may be useful to find personalized treatments for patients using analytics to predict response to antihypertension medications and the risk for hypertension-related complications. However, there are real-world implementation challenges to using AI tools in hypertension. Herein, we summarize key findings from a diverse group of stakeholders who participated in a workshop held by the National Heart, Lung, and Blood Institute in March 2023. Workshop participants presented information on communication gaps between clinical medicine, data science, and engineering in health care; novel approaches to estimating BP, hypertension risk, and BP control; and real-world implementation challenges and issues.