Citations

AbstractPredicting who will benefit from treatment with immune checkpoint inhibition (ICI) in patients with advanced melanoma is challenging. We developed a multivariable prediction model for response to ICI, using routinely available clinical data including primary melanoma characteristics. We used a population‐based cohort of 3525 patients with advanced cutaneous melanoma treated with anti‐PD‐1‐based therapy. Our prediction model for predicting response within 6 months after ICI initiation was internally validated with bootstrap resampling. Performance evaluation included calibration, discrimination and internal–external cross‐validation. Included patients received anti‐PD‐1 monotherapy (n = 2366) or ipilimumab plus nivolumab (n = 1159) in any treatment line. The model included serum lactate dehydrogenase, World Health Organization performance score, type and line of ICI, disease stage and time to first distant recurrence—all at start of ICI—, and location and type of primary melanoma, the presence of satellites and/or in‐transit metastases at primary diagnosis and sex. The over‐optimism adjusted area under the receiver operating characteristic was 0.66 (95% CI: 0.64–0.66). The range of predicted response probabilities was 7%–81%. Based on these probabilities, patients were categorized into quartiles. Compared to the lowest response quartile, patients in the highest quartile had a significantly longer median progression‐free survival (20.0 vs 2.8 months; P < .001) and median overall survival (62.0 vs 8.0 months; P < .001). Our prediction model, based on routinely available clinical variables and primary melanoma characteristics, predicts response to ICI in patients with advanced melanoma and discriminates well between treated patients with a very good and very poor prognosis.

Abstract Background DEVELOP is a multi-center, global, prospective, observational, longitudinal registry of long-term safety of infliximab (and other treatments) in paediatric patients (pts) with inflammatory bowel disease (IBD) &lt;18 years (yrs) at diagnosis. Over the course of follow-up, many pts required changes in therapy. Ustekinumab (UST) is approved for treatment of Crohn’s disease (CD) in adults and is currently being evaluated for safety/efficacy in paediatric pts. This report focuses on assessment of safety of UST in paediatric pts with CD from DEVELOP. Methods Data included paediatric pts treated with UST from 31 May 2007 through 30 June 2022; data are collected every 6 months. The analyzed population included: all paediatric pts (all pts), pts weighing &lt;40kg (&lt;40kg group), and pts weighing ≥40kg (≥40kg group). Assessments included medical and treatment history, UST exposure, adverse events (AEs), serious AEs (SAEs), CD-related SAEs leading to hospitalization, IBD surgeries, serious and opportunistic infections, malignancies, and deaths. Results A total of 150 pts received UST (49.3% females); 31 in the &lt;40kg group and 119 in the ≥40kg group (Table 1). Most treated pts (92.0%) were 12-17yrs. The majority (91%) of pts were initially dosed with UST every 8 weeks (q8w); at the last known dose, 64% received UST q8w and 22% q4w. Mean (SD) age of initial UST exposure was 15yrs (2.19). Prior IBD surgery was reported in 65.3% pts. The majority of pts (98%) had prior biologic therapy and 72% received ≥2 biologics prior to UST. Overall, 37/150 (24.7%) of pts discontinued UST during follow-up, with a mean (SD) time to discontinuation of 16.7 (17.00) months; 84/150 (56.0%) were exposed to UST for ≥24 months. Rates (events/100 pt-yrs) of AEs were higher in the ≥40kg group (177.62) than in the &lt;40kg group (101.27). Rates of SAEs were slightly lower among the ≥40kg group (25.42) vs &lt;40kg (32.67). There were no SAEs related to infusion or injection site reactions. Rates of serious infections and CD-related hospitalizations were low and similar between groups, and rates of IBD-related surgeries were similar between groups (Figure 1). One malignancy (malignant carcinoid tumor) was reported in a female (18yrs) in the ≥40kg group with a history of prior therapy with vedolizumab, methotrexate, and 6-MP. No deaths or opportunistic infections were reported. Conclusion The safety profile observed for this off-label use of UST in paediatric CD pts in DEVELOP was similar to that of the treated adult population, despite most paediatric pts having prior biologic exposure. No new safety signals are identified in this paediatric population.

LBA588 Background: Currently, there is no universally accepted first line (1L) therapy for higher grade, well-differentiated gastroenteropancreatic neuroendocrine tumors (GEP-NETs) and an unmet medical need remains in these patients (pts). Radioligand therapy (RLT) is an innovative cancer treatment that crosses the traditional domains of systemic, radiation or surgical therapies. The Phase 3 NETTER-2 study (NCT03972488) evaluated [177Lu]Lu-DOTA-TATE (hereafter 177Lu-DOTATATE) as 1L treatment in pts with Grade (G) 2 and G3 advanced GEP-NETs. This is the first trial to assess 1L RLT in any solid tumor. Methods: Eligible pts were newly diagnosed with somatostatin receptor-positive high G2 or G3 (Ki-67 ≥10% and ≤55%) advanced GEP-NETs within the last 6 months prior to enrollment. Pts were randomized (2:1) to receive 4 cycles of 177Lu-DOTATATE (4 × 7.4 GBq) plus 30 mg octreotide long-acting release (LAR) at 8-weekly intervals during 177Lu-DOTATATE treatment then every 4 weeks (177Lu-DOTATATE arm), or 60 mg octreotide LAR every 4 weeks (control arm), stratified by grade (G2 vs G3) and tumor origin (pancreas vs other). The primary endpoint was progression-free survival (PFS), centrally assessed using RECIST 1.1. Objective response rate (ORR), a key secondary endpoint, was tested hierarchically after PFS. Results: Overall, 226 pts were randomized to the 177Lu-DOTATATE (n = 151) or control (n = 75) arms. Most tumors originated in the pancreas (54.4%) or small intestine (29.2%); G3 tumors were reported in 35.0% of pts. Median cumulative dose of 177Lu-DOTATATE was 29.2 GBq, with 87.8% of pts receiving all 4 doses. Median PFS (95% confidence interval [CI]) was significantly prolonged by ~14.3 months from 8.5 months (7.7, 13.8) in the control arm to 22.8 months (19.4, not estimable) in the 177Lu-DOTATATE arm; stratified hazard ratio 0.276 (95% CI: 0.182, 0.418; p < 0.0001). The ORR was significantly higher in the 177Lu-DOTATATE arm (43.0%) vs the control arm (9.3%); stratified odds ratio 7.81 (95% CI: 3.32, 18.4; p < 0.0001). PFS and ORR results were consistent across all pre-specified demographic and prognostic subgroups. Among adverse events of special interest to RLT, G3/4 leukopenia, anemia and thrombocytopenia occurred in ≤3 pts each in the 177Lu-DOTATATE arm. One case of myelodysplastic syndrome was reported (177Lu-DOTATATE arm). Conclusion: 177Lu-DOTATATE significantly prolonged PFS and demonstrated a clinically meaningful ORR, compared with high-dose octreotide LAR, in pts with newly diagnosed advanced G2 and G3 GEP-NETs. Safety was in line with the established profile of 177Lu-DOTATATE. This is the first randomized study to demonstrate efficacy of RLT as 1L treatment in any malignancy and will change clinical practice. Further investigations of RLT as a therapeutic option in other settings is warranted. Clinical trial information: NCT03972488 .

Background We aimed to identify patients with subphenotypes of postacute coronary syndrome (ACS) using repeated measurements of high‐sensitivity cardiac troponin T, N‐terminal pro‐B‐type natriuretic peptide, high‐sensitivity C‐reactive protein, and growth differentiation factor 15 in the year after the index admission, and to investigate their association with long‐term mortality risk. Methods and Results BIOMArCS (BIOMarker Study to Identify the Acute Risk of a Coronary Syndrome) was an observational study of patients with ACS, who underwent high‐frequency blood sampling for 1 year. Biomarkers were measured in a median of 16 repeated samples per individual. Cluster analysis was performed to identify biomarker‐based subphenotypes in 723 patients without a repeat ACS in the first year. Patients with a repeat ACS (N=36) were considered a separate cluster. Differences in all‐cause death were evaluated using accelerated failure time models (median follow‐up, 9.1 years; 141 deaths). Three biomarker‐based clusters were identified: cluster 1 showed low and stable biomarker concentrations, cluster 2 had elevated concentrations that subsequently decreased, and cluster 3 showed persistently elevated concentrations. The temporal biomarker patterns of patients in cluster 3 were similar to those with a repeat ACS during the first year. Clusters 1 and 2 had a similar and favorable long‐term mortality risk. Cluster 3 had the highest mortality risk. The adjusted survival time ratio was 0.64 (95% CI, 0.44–0.93; P =0.018) compared with cluster 1, and 0.71 (95% CI, 0.39–1.32; P =0.281) compared with patients with a repeat ACS. Conclusions Patients with subphenotypes of post‐ACS with different all‐cause mortality risks during long‐term follow‐up can be identified on the basis of repeatedly measured cardiovascular biomarkers. Patients with persistently elevated biomarkers have the worst outcomes, regardless of whether they experienced a repeat ACS in the first year.

AbstractPurpose has often been proposed as a quantitative imaging biomarker for diagnosis, prognosis, and treatment response assessment for various tumors. None of the many software tools for quantification are standardized. The ISMRM Open Science Initiative for Perfusion Imaging–Dynamic Contrast‐Enhanced (OSIPI‐DCE) challenge was designed to benchmark methods to better help the efforts to standardize measurement.MethodsA framework was created to evaluate values produced by DCE‐MRI analysis pipelines to enable benchmarking. The perfusion MRI community was invited to apply their pipelines for quantification in glioblastoma from clinical and synthetic patients. Submissions were required to include the entrants' values, the applied software, and a standard operating procedure. These were evaluated using the proposed score defined with accuracy, repeatability, and reproducibility components.ResultsAcross the 10 received submissions, the score ranged from 28% to 78% with a 59% median. The accuracy, repeatability, and reproducibility scores ranged from 0.54 to 0.92, 0.64 to 0.86, and 0.65 to 1.00, respectively (0–1 = lowest–highest). Manual arterial input function selection markedly affected the reproducibility and showed greater variability in analysis than automated methods. Furthermore, provision of a detailed standard operating procedure was critical for higher reproducibility.ConclusionsThis study reports results from the OSIPI‐DCE challenge and highlights the high inter‐software variability within estimation, providing a framework for ongoing benchmarking against the scores presented. Through this challenge, the participating teams were ranked based on the performance of their software tools in the particular setting of this challenge. In a real‐world clinical setting, many of these tools may perform differently with different benchmarking methodology.