Citations

Introduction: Among patients with cardiogenic shock (CS), high right atrial pressure (RAP) and low mean arterial pressure (MAP) are associated with in-hospital mortality. Pressure-adjusted heart rate (PAHR), defined as heart rate * RAP-to-MAP ratio (HR * [RAP/MAP]), integrates these parameters and has been used to identify cardiovascular dysfunction in critical illness. Higher PAHR values associate with higher surgical ICU mortality, but the prognostic significance of PAHR has not been assessed in cardiac intensive care unit (CICU) patients with CS. Hypothesis: We hypothesized that higher PAHR values are associated with higher risk of in-hospital mortality in patients with CS. Methods: The Critical Care Cardiology Trials Network (CCCTN) is a multinational registry of CICUs coordinated by the TIMI Study Group. Among CS admissions (2018-2023) undergoing invasive hemodynamic assessment within 24h of CICU admission, we calculated PAHR (in bpm) and assessed its relationship with in-hospital mortality. Patients on temporary mechanical circulatory support were excluded. Odds ratios were adjusted for age, sex, vasoactive-inotropic score (VIS), SCAI stage, and preceding cardiac arrest. Subgroup analyses stratifying by CS subtype were performed. Results: Among the 1411 CS admissions in the analysis cohort (mean age 61 years, 31% women), 18% had AMI-CS, 75% had HF-CS, and 7% had secondary CS. At the time of assessment (median 1.4h after CICU admission), 75% were on vasoactive support (median VIS 3.8). Median HR was 92 (Q1-Q3 77-109) bpm, RAP 15 (Q1-Q3 10-19) mmHg, MAP 75 (Q1-Q3 67-87) mmHg, and PAHR 17 (Q1-Q3 11-24) bpm. A stepwise gradient of higher in-hospital mortality with increasing PAHR values (p-trend <0.001; Fig ) was observed. In adjusted models, a higher PAHR was associated with higher in-hospital mortality (aOR per 10-bpm, 1.35 [95% CI, 1.15-1.58]), and had stronger prognostic associations with mortality than its individual hemodynamic components (Fig) . Conclusion: Higher PAHR is strongly associated with in-hospital mortality in CS patients. PAHR, a simple parameter which is readily calculable without needing a pulmonary artery catheter, may aid in identifying CS patients at higher risk of death.

Objectives: The aims of the study are to develop a prostate cancer risk prediction model that combines clinical and magnetic resonance imaging (MRI)–related findings and to assess the impact of adding Prostate Imaging-Reporting and Data System (PI-RADS) ≥3 lesions-level findings on its diagnostic performance. Methods: This 3-center retrospective study included prostate MRI examinations performed with clinical suspicion of clinically significant prostate cancer (csPCa) between 2018 and 2022. Pathological diagnosis within 1 year after the MRI was used to diagnose csPCa. Seven clinical, 3 patient-level MRI-related, and 4 lesion-level MRI-related findings were extracted. After feature selection, 2 logistic regression models with and without lesions-level findings were created using data from facility I and II (development cohort). The area under the receiver operating characteristic curve (AUC) between the 2 models was compared in the PI-RADS ≥3 population in the development cohort and Facility III (validation cohort) using the Delong test. Interfacility differences of the selected predictive variables were evaluated using the Kruskal-Wallis test or chi-squared test. Results: Selected lesion-level features included the peripheral zone involvement and apparent diffusion coefficient (ADC) values. The model with lesions-level findings had significantly higher AUC than the model without in 655 examinations in the development cohort (0.81 vs 0.79, respectively, P = 0.005), but not in 553 examinations in the validation cohort (0.77 vs 0.76, respectively). Large interfacility differences were seen in the ADC distribution (P < 0.001) and csPCa proportion in PI-RADS 3–5 (P < 0.001). Conclusions: Adding lesions-level findings improved the csPCa discrimination in the development but not the validation cohort. Interfacility differences impeded model generalization, including the distribution of reported ADC values and PI-RADS score-level csPCa proportion.

Abstract Background: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignancy globally, and the vast majority of cases are treated with primary surgical resection and adjuvant therapy. Our group has pioneered the use of HNSCC circulating tumor DNA (ctDNA) in surgical effluent collected postoperatively from surgical drains (surgical drain fluid, SDF) as a novel proximal bioanalyte for measuring minimal residual disease after surgery. We now profile the immune cell composition of SDF compared to paired peripheral blood mononuclear cells (PBMCs), and correlate SDF immune cell profiles with clinical variables and oncologic outcomes in HNSCC. Method: SDF and peripheral venous blood were collected 24 hours postoperatively from 58 HNSCC patients, including 11 HPV (+) and 47 HPV (-) patients undergoing standard of care surgical resection, lymph node dissection, and adjuvant therapy. Freshly collected SDF cells and PBMCs were cryopreserved until profiling by multicolor flow cytometry for respective leukocyte compositions. Analyses were used to define the following viable CD45+ leukocyte subsets: total T cells, CD4 T-cells CD8 T-cells, Treg cells, B-cells, non- classical monocytes, classical monocytes, natural killer (NK) cells, classical dendritic cells (cDC), plasmacytoid DC (pDC), macrophages, and monocytic myeloid-derived suppressive cells (MDSCs). Immune cell percentages were correlated with clinical characteristics and cancer recurrence. Results: CD45+ leukocytes comprised &gt;99.5% of SDF cells, with very few EPCAM+ tumor cells (&lt; 10^-4). HPV status did not significantly affect SDF immune cell composition, and no significant differences were noted by tumor site (larynx, oral cavity, oropharynx), or extracapsular lymph node extension. Among 13 HPV (-) HNSCC patients with paired peripheral blood drawn concurrently, SDF had a higher proportion of B-cells(16.8% vs. 9%, p=0.044), NK cells(56% vs. 12%, P&lt;0.001), monocytes(14% vs. 1%, P&lt;0.001), and macrophages(3.1% vs. 0.46%, P&lt;0.001) compared to PBMCs, and a lower proportion of CD4+ T cells(1% vs. 24%, P&lt;0.001), CD8+ T cells(0.6% vs. 18%, P&lt;0.001), MDSCs(2.1% vs. 3.4%, P=0.029), and pDCs(0.1% vs. 0.2%, P=0.014). HPV (-) HNSCC patients that went on to recur (n=9) had a significantly higher proportions of SDF monocytes (total, classical, and non- classical) and CD56dimCD16+ NK cells (all P&lt;0.001) compared to non-recurrent patients (n=38). Patients who went on to recur also had a significantly lower proportion of SDF B-cells (P&lt;0.001), CD56bright NK cells(P=0.01), and macrophages (P=0.018) compared to non- recurrent cases. No significant differences were noted with respect to proportions of CD3+, CD4+, CD8+ T-cells, DC, and MDSC cells. Conclusion: SDF from HNSCC patients contains unique immune cell populations and may provide new insights into postoperative tumor immunity. Differences in SDF immune cell composition by oncologic outcome in patients that go on to recur, highlighting potential prognostic and predictive applications of SDF immune cell profiling for adjuvant therapy decision-making. Citation Format: Zhongping Xu, Noah Earland, Lucien Khalil, Lazar Vujanovic, Danny Azmi Elias, Riyue Bao, Jason J. Luke, Aadel A. Chaudhuri, Jose P. Zevallos. Immune cell composition in surgical drain fluid as a novel prognostic marker in head and neck squamous cell carcinoma [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 B031.

Background: Pulsed field ablation (PFA) is an innovative modality for treating arrhythmias that is mostly non-thermal and renders myocardial tissue non-viable by creating pores in cardiac cell membranes. The impact of contact force (CF) on PFA efficacy is not well characterized. Hypothesis: We hypothesize that, while contact is necessary for PFA, increasing CF will not have a significant effect on in vivo ablation lesion size. Aim: We seek to investigate the effects of CF on acute PFA lesions in a beating porcine heart model. Methods: The ventricles of 7 porcine animals were ablated in vivo with PFA (500V, at 20μs for 50 pulses separated by 200ms) using a focal bipolar irrigated ablation catheter and BTX 830 electroporation generator (Harvard Apparatus). CF was measured before and after each PFA application using CARTO 3. Lesions were divided into standard CF (5-15g), high CF (16-30g), and very high CF (>31g). Results: A total of 46 lesions were analyzed. Gross pathology showed no significant difference in maximum width, lesion depth, and lesion volume between the three groups ( Figure 1A-B ). Linear regression showed a decrease of 0.003 mm in depth (depth = -0.003 × CF + 1.8, R = 0.05), an increase of 0.01 mm in width (width = 0.01 × CF + 5.7, R = 0.09), and a decrease of 0.05 mm 3 in volume (volume = -0.05 × CF + 26.8, R = 0.03) for each additional gram of CF ( Figure 1C ). Conclusion: While contact is necessary, increasing CF did not have a significant effect on in-vivo PFA lesion dimensions in a beating porcine heart model.

Background: Pulsed field ablation (PFA) has emerged as an innovative technology for treating cardiac arrhythmias. PFA increases cell permeability, which can lead to apoptosis. Greater PFA energy may be necessary to ablate ventricular myocardium for ventricular tachycardia circuits, but this carries risks of side effects such as gaseous formation (microbubbles) and hemolysis. Ethanol (EtOH) infusion has been used to ablate pathologic myocardial tissues in hypertrophic cardiomyopathy and for refractory arrhythmias. Hypothesis: We hypothesize that PFA in the ventricle can increase EtOH uptake through PFA-generated pores, thereby enhancing ablation efficacy, even at low powers, by utilizing the cell permeability effects of PFA. Aim: The aim of this study is to investigate the effect of local EtOH infusion after PFA on lesion size in porcine ventricles. Methods: The ventricles of five porcine subjects were ablated in vivo with a PFA low power setting (750 V, at 20 μs for 50 pulses separated by 200 ms) using a focal bipolar irrigated ablation catheter and BTX 830 electroporation generator (Harvard Apparatus). After PFA was performed, 2 ml of 90 % EtOH vs. saline (control) was infused through the catheter tip to the site of ablation. We compared the electrograms voltage amplitude reduction before and after PFA, and the ablation lesion characteristics. Results: A total of 10 lesions in the control group and 9 lesions in the EtOH group were analyzed. For the controls, the voltage after PFA was not reduced. In contrast, for the EtOH group, the voltage after PFA was significantly reduced ( Figure 1A ). On gross pathology, there were significant differences in ablation lesion depths and volumes between the 2 lesion sets ( Figure 1A-B ). Conclusion: Local EtOH infusion after ventricular PFA enhanced acute efficacy of electroporation. Concurrent PFA with local EtOH infusion has the potential to improve efficacy without requiring higher energy parameters, thereby reducing PFA risks. Future studies on chronic efficacy are warranted.

The NCCN Guidelines for the Management of Immunotherapy-Related Toxicities are intended to provide oncology practitioners with guidance on how to manage the wide-ranging and potentially fatal toxicities that may occur with cancer immunotherapy. The guidelines address immune-related adverse events related to immune checkpoint inhibitors, CAR T-cell therapies, and lymphocyte engagers (which include T-cell–engaging bispecific antibodies). These NCCN Guidelines Insights highlight recent guideline updates pertaining to the management of emerging toxicities related to cancer immunotherapy.

Abstract Glioblastoma, the most common malignant primary adult brain tumor, poses significant diagnostic and treatment challenges due to its heterogeneous molecular and micro-environmental profiles. To this end, we organize the BraTS-Path challenge to provide a public benchmarking environment and a comprehensive dataset to develop and validate AI models for identifying distinct histopathologic glioblastoma sub-regions in H&E-stained digitized tissue sections. We identified 188 multi-institutional diagnostic slides of glioblastoma (IDH-wt, Gr.4) cases, from the TCGA-GBM and TCGA-LGG data collections, following their reclassification according to the 2021 WHO classification criteria. Sub-regions were selected according to distinctive morphology of histopathologic features and included aggressive tumor biology and areas consistent with potential treatment effect. Selected sub-region annotations included cellular tumor, geographic necrosis, cortical infiltration, pseudopalisading necrosis, microvascular proliferation, white matter penetration, regions dense with macrophages, leptomeningeal infiltration, and presence of lymphocytes. We obtained 107,340 patches of size 512x512 from the 9 sub-regions. A global network of board-certified expert neuropathologists defined and followed a systematic annotation protocol based on clinical definitions and only delineated sub-regions with high confidence, thus ensuring high-quality standardized data. Each tissue section was assigned to an annotator-approver pair, with the annotator delineating sub-regions and the approver ensuring the consistency of the annotations. By crowdsourcing annotations, the BraTS-Path challenge harnesses the collective expertise of clinical neuropathologists and fosters a collaborative environment to advance the neuro-oncology field. The anticipated developed algorithms are expected to integrate state-of-the-art computational methods, achieving high accuracy in identifying diverse histopathologic features and advancing clinical decision-making processes. The BraTS-Path challenge aims to bridge the gap between research and clinical practice by promoting the development of AI-driven tools for precise tumor characterization. This collaborative effort can significantly enhance our understanding of glioblastoma, improve diagnostic accuracy, and inform treatment strategies, thereby contributing to better patient outcomes.

Abstract Effective immune synapses are a prerequisite for desirable immune surveillance and control of tumour growth. Cell-to-cell interactions form the basis of immune synapses, resulting in either immunoprotected or immunosuppressed manifestations in the tumour brain that could explain glioblastoma (GBM) recurrence. Using state-of-the-art multiplex imaging, spatial statistics, and spatially aware deep learning tools in 14 patient-matching tissues from primary and recurrent GBM, we detected spatial immune networks (SINets). SINets across 105 regions of interest comprising 2.3 million cells show stronger spatial engagement between myeloid and lymphoid lineages at recurrence. SINets’ architecture in primary tumours is associated with relapse timing. Patients, where the SINets are more modular, recur sooner than patients with denser SiNets. In addition, this association presents sexual dimorphism in our cohort (N=3 females, and N=4 males). Phenotype-to-phenotype spatial coexistence also contributes to enhancing phenotype prediction. A spatial-aware deep learning model trained with single-cell data from primary tumours reaches an average balanced accuracy of 0.76 in primary tumour cellular communities unseen during training, compared to a spatial-agnostic model that reached an average balanced accuracy of 0.69. In summary, we detected a distinct spatial engagement in glioblastoma undergoing chemo-radiation treatment. The spatial patterns of coexistence represent ecological niches that contribute to defining cell occurrence and may underpin effective immune synapses. Overall, the spatiotemporal elements provide a newer approach for dissecting glioblastoma’s complexity and discovering opportunities for stratifying patients by harnessing spatial information encoded in multicellular niches.

Abstract Brain tumors constitute significant morbidity and mortality in sub-Saharan Africa (SSA). There is no previous large-scale effort focusing on brain tumor genetics in SSA. This project aims to map out the current neuro-oncology capacity in terms of workforce and available services in SSA. This is an ongoing online survey among a cross section of neuro-oncology practitioners spread across SSA countries to capture information on the distribution, number of available neuro-oncology care practitioners, capacity for neuropathology and molecular diagnosis, management of brain tumors, cancer registration, and tumor biobanking. The survey was disseminated by the Society for Neuro-oncology in SSA (SNOSSA). There were 83 respondents representing 15 countries and 52 health institutions: 46 tertiary, 4 secondary, 1 private and 1 other. Here, we present data on the 52 institutions. The prevalence of specialties was 87% neurosurgery, 75% anatomic pathology, 69% medical oncology, 64% neurology, 60% radiation oncology, and 39% neuropathology. For radiologic evaluation, 81% of institutions were reported to have both CT and MRI, 17% CT only, and one institution neither. For molecular testing, 46% have access to IHC or NGS testing, whereas 52% were reported to have neither. A neuro-oncology tumor board was reported at 58% of institutions. A general cancer registry is available in 64% of institutions, 31% have a brain tumor specific registry and 10% have a brain tumor biorepository. This study shows that SSA has substantial potential in neuro-oncology care practice capacity and facilities. Most significant gaps remain in areas such as neuropathology and molecular testing, which makes widespread implementation of the WHO 2021 diagnosis challenging. Understanding the prevalence of CNS tumor subtypes is also difficult due to low number of brain tumor registries and biobanks in SSA. The present findings reveal strategic opportunities, especially in neuropathology, tumor registries, biobanks, and infrastructure for IHC and NGS in SSA.