Citations

: Cerebral Edema (CE) is the final common pathway of brain death. In severe neurological disease, neuronal cell damage first contributes to tissue edema, and then Increased Intracranial Pressure (ICP) occurs, which results in diminishing cerebral perfusion pressure. In turn, anoxic brain injury brought on by decreased cerebral perfusion pressure eventually results in neuronal cell impairment, creating a vicious cycle. Traditionally, CE is understood to be tightly linked to elevated ICP, which ultimately generates cerebral hernia and is therefore regarded as a risk factor for mortality. Intracranial hypertension and brain edema are two serious neurological disorders that are commonly treated with mannitol. However, mannitol usage should be monitored since inappropriate utilization of the substance could conversely have negative effects on CE patients. CE is thought to be related to bloodbrain barrier dysfunction. Nonetheless, a fluid clearance mechanism called the glial-lymphatic or glymphatic system was updated. This pathway facilitates the transport of cerebrospinal fluid (CSF) into the brain along arterial perivascular spaces and later into the brain interstitium. After removing solutes from the neuropil into meningeal and cervical lymphatic drainage arteries, the route then directs flows into the venous perivascular and perineuronal regions. Remarkably, the dual function of the glymphatic system was observed to protect the brain from further exacerbated damage. From our point of view, future studies ought to concentrate on the management of CE based on numerous targets of the updated glymphatic system. Further clinical trials are encouraged to apply these agents to the clinic as soon as possible.

Abstract Background: In breast cancer, the spatial relationship between immune and tumor cells is increasingly recognized as critical in determining the efficacy of neoadjuvant therapy (NAT). This study investigated how the distribution of immune cells, particularly CD8+ T cells, relative to tumor cells affects treatment outcomes. Methods: Biopsies from 104 breast cancer patients were examined, both pre- and post-NAT, using multiplex immunohistochemistry (mIHC). This study focused on the density and distribution of CD8+ T cells, CD68+ macrophages, FoxP3+ regulatory T cells, and other immune markers. Results: The spatial proximity of CD8+ T cells within 20 µm of cancer cells (N20-CD8+T) was strongly correlated with improved clinical outcomes across diverse tumor subtypes and NAT regimens. A significant post-NAT decrease in CD4+, CD68+, and FoxP3+ cells highlights notable shifts in the tumor immune landscape. A noteworthy finding was the positive correlation between CXCL9 expression and N20-CD8+T cells, suggesting a mechanism for immune cell recruitment and interaction within the tumor microenvironment. These results highlight the complex interplay among NAT, immune cell modifications, and patient outcomes. Conclusions: This study revealed that the proximity of N20-CD8+ T cells to tumor cells is consistently associated with favorable NAT outcomes, transcending tumor subtypes, and treatment differences. This highlights the potential of immune cell dynamics, especially CD8+ T cells, as predictive biomarkers for therapeutic responses in breast cancer, underscoring their vital role in tumor immunity.

Abstract Aims Doppler mean gradient (MG) can underestimate aortic stenosis (AS) severity in patients with atrial fibrillation (AF) compared with patients with sinus rhythm (SR), potentially delaying intervention in AF. This study compared outcomes in patients with AF and SR following transcatheter aortic valve replacement (TAVR) and investigated delay in TAVR based on computed tomography aortic valve calcium score (AVCS). Methods and results Patients who underwent TAVR from 2013 to 2017 for native valve severe AS were identified from an institutional database. Baseline characteristics and overall survival were compared between those with SR and AF. There were 820 patients (mean age 81 years; 41.6% females) included in this study. AF was present in 356 patients. Patients with AF were older (82.2 vs. 80.5, P = 0.003) and had a lower MG compared with patients with SR (42.0 vs. 44.9, P = 0.002) with similar indexed aortic valve area (0.4 vs. 0.4, P = 0.17). Median AVCS was higher in AF (males: AF 2850.0 vs. SR 2561.0, P = 0.044; females: AF 1942.0 vs. SR 1610.5, P = 0.025). Projected AVCS, assuming the same age of diagnosis, was similar between AF and SR. Median survival post-TAVR was worse in AF compared with SR (3.2 vs. 5.4 years, log rank P < 0.001). AF, lower MG, higher right ventricular systolic pressure, dialysis, diabetes, and significant tricuspid regurgitation were associated with higher mortality (P < 0.05 for all). Conclusion Older age and higher AVCS in patients with AF compared with those with SR suggest that AS was both underestimated and more advanced at TAVR referral.

Abstract Objective To develop a natural language processing (NLP) algorithm that can accurately extract headache frequency from free‐text clinical notes. Background Headache frequency, defined as the number of days with any headache in a month (or 4 weeks), remains a key parameter in the evaluation of treatment response to migraine preventive medications. However, due to the variations and inconsistencies in documentation by clinicians, significant challenges exist to accurately extract headache frequency from the electronic health record (EHR) by traditional NLP algorithms. Methods This was a retrospective cross‐sectional study with patients identified from two tertiary headache referral centers, Mayo Clinic Arizona and Mayo Clinic Rochester. All neurology consultation notes written by 15 specialized clinicians (11 headache specialists and 4 nurse practitioners) between 2012 and 2022 were extracted and 1915 notes were used for model fine‐tuning (90%) and testing (10%). We employed four different NLP frameworks: (1) ClinicalBERT (Bidirectional Encoder Representations from Transformers) regression model, (2) Generative Pre‐Trained Transformer‐2 (GPT‐2) Question Answering (QA) model zero‐shot, (3) GPT‐2 QA model few‐shot training fine‐tuned on clinical notes, and (4) GPT‐2 generative model few‐shot training fine‐tuned on clinical notes to generate the answer by considering the context of included text. Results The mean (standard deviation) headache frequency of our training and testing datasets were 13.4 (10.9) and 14.4 (11.2), respectively. The GPT‐2 generative model was the best‐performing model with an accuracy of 0.92 (0.91, 0.93, 95% confidence interval [CI]) and R 2 score of 0.89 (0.87, 0.90, 95% CI), and all GPT‐2–based models outperformed the ClinicalBERT model in terms of exact matching accuracy. Although the ClinicalBERT regression model had the lowest accuracy of 0.27 (0.26, 0.28), it demonstrated a high R 2 score of 0.88 (0.85, 0.89), suggesting the ClinicalBERT model can reasonably predict the headache frequency within a range of ≤ ± 3 days, and the R 2 score was higher than the GPT‐2 QA zero‐shot model or GPT‐2 QA model few‐shot training fine‐tuned model. Conclusion We developed a robust information extraction model based on a state‐of‐the‐art large language model, a GPT‐2 generative model that can extract headache frequency from EHR free‐text clinical notes with high accuracy and R 2 score. It overcame several challenges related to different ways clinicians document headache frequency that were not easily achieved by traditional NLP models. We also showed that GPT‐2–based frameworks outperformed ClinicalBERT in terms of accuracy in extracting headache frequency from clinical notes. To facilitate research in the field, we released the GPT‐2 generative model and inference code with open‐source license of community use in GitHub. Additional fine‐tuning of the algorithm might be required when applied to different health‐care systems for various clinical use cases.

Abstract Despite the current binary clinical classification of variants (pathogenic versus benign), it is widely recognized that risk is a continuum. Prior studies have suggested the existence of reduced penetrance pathogenic variants (RPPVs), which pose challenges for identification, reporting, patient counseling and care. Through the current study, we sought to establish RPPVs as a new category of variants, with efforts focused specifically on BRCA1 and BRCA2 (BRCA). We compiled, compared, and assessed data for BRCA RPPVs from two large clinical diagnostic laboratories to establish an initial set of reduced penetrance pathogenic variants. Specifically, candidate BRCA RPPVs provided by clinical diagnostic laboratories were compiled to identify those with the highest prior likelihood of being a RPPV, based on concordant interpretations. Evidence of reduced penetrance included: 1) the identification of biallelic Fanconi Anemia-affected carriers; 2) splicing, missense, and nonsense-mediated RNA decay (NMD)-escaping variants; 3) laboratory-validated cancer history weighting models; 4) published variant-specific risk estimation data; 5) extrapolation of a reduced-risk interpretation onto close match variants that are expected to have the same effect; and 6) functional data. Sixteen candidate BRCA RPPV present in both lists from both laboratories were systematically assessed. For BRCA1, variants included c.5096G>A p.(Arg1699Gln) and variants impacting the canonical c.671 splice acceptor site. For BRCA2, variants included three frameshift (c.658_658delGT, c.9672dupA, c.9699_9702delTATG), two spliceogenic (c.8488-1G>A and c.8488-1G>T), and three missense (c.7878G>C, T, p.(Trp2626Cys); and c.9302T>G p.(Leu3101Arg)) variants. Our study is the first to clearly evaluate and establish BRCA RPPVs as a new class of variants, based on consistency in results across 16 variants using different interpretation strategies between laboratories. These variants impart a moderately increased risk of breast cancer, often considered to be between 2-4 fold, which should be considered when determining risk-informed cancer prevention strategies. Furthermore, our study establishes a framework to harmonize interpretation and standardize reporting of BRCA RPPV, by providing evidence to support this new classification for 16 variants. Further work to define clinically meaningful risk thresholds and categories for reporting BRCA RPPV are needed to personalize cancer risks in conjunction with other risk factors. Citation Format: Tuya Pal, Erin Mundt, Marcy Richardson, Elizabeth Chao, Tina Pesaran, Thomas P. Slavin, Fergus Couch, Alvaro N. Monteiro. Reduced penetrance BRCA1 and BRCA2 pathogenic variants in clinical germline genetic testing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6615.

Abstract Background: Assessing treatment response in gliomas with high fidelity remains challenging. Cell-free DNA (cfDNA) is increasingly recognized as a liquid biomarker in plasma and cerebrospinal fluid (CSF), showing promise in optimizing therapeutic regimens for various cancers. While CSF has been explored as a source of cfDNA for gliomas, understanding the dynamics of cfDNA abundance and sequencing changes during treatment and recurrence is essential. Leveraging our biobank of longitudinal CSF specimens obtained through CSF access devices, we aimed to determine the potential utility of CSF cfDNA as a monitoring tool for treatment response in glioma patients. Materials and methods: Longitudinal CSF specimens were collected through Ommaya reservoirs (NCT04692337) or ventriculoperitoneal shunts (NCT04692324) from patients with brain tumors, including gliomas. cfDNA was extracted from 1-5 mL of CSF based on available sample volumes and quantified using Qubit. Next-Generation sequencing using PredicineCARE or PredicineSCORE low-pass whole genome sequencing (LPWGS) was performed based on the available cfDNA. Results: CSF collected before versus after resection showed an increase in quantified cfDNA (2.97x, range: 1.58-5.26x), indicating the impact of increased parenchymal disruption and closer contact with CSF. Subsequently, CSF cfDNA decreased during chemoradiation and adjuvant treatment and increased at recurrence, even in patients co-enrolled in immunotherapy trials for IL-7 agonists and pembrolizumab. Notably, copy number burden (CNB) increased at recurrence in three patients with known disease progression and decreased throughout immunotherapy treatment in one patient despite concerns of pseudoprogression. In a patient with a hypermutated glioblastoma, CSF cfDNA revealed over 59 genomic alterations, including MAP2K1, KIT, and PDGFRA. Another patient with a progressing EGFR-amplified GBM showed over 200 new variants in the final sample, with EGFR copy number increasing from 2 to over 30. Conclusion: Analysis of cfDNA throughout a patient’s disease course, encompassing resection and treatment with standard-of-care and experimental therapies, may aid in disease monitoring and treatment response. Further evaluation in a larger patient cohort is needed to determine the sensitivity of changes in mutations, CNB, and cfDNA quantity for glioma disease burden. Citation Format: Riviere-Cazaux Cecile, Xiaoxi Dong, Chao Dai, Wei Mo, Pan Du, Shidong Jia, Terence Burns. Monitoring glioma treatment response through longitudinal analysis of cell-free DNA in cerebrospinal fluid: Insights from a comprehensive study using next-generation sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2294.

Abstract Background: Plant-based diet is recommended by multiple cancer survivorship guidelines and was reported to be associated with better survival among patients with non-metastatic colorectal cancer. However, the association between plant-based diet and survival in metastatic colorectal cancer is unknown. Methods: Using an NCI-sponsored systemic therapy trial conducted from 2005 to 2015 (CALGB/SWOG 80405), we included 1,279 patients who completed validated food frequency questionnaires at the initiation of treatment for metastatic colorectal cancer. To emphasize different impact of healthful plant foods, less healthful plant foods, and animal foods, we used 18 food groups to calculate three plant-based indexes (ranges: 18-90 points): overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI). The primary outcome was overall survival, and the secondary outcome was progression-free survival. We estimated the associations of three indexes (quintiles) with survival using multivariable Cox proportional hazards regression. Results: Of 1,279 patients (median follow-up: 6.1 years), mean (SD) age at diagnosis was 58.8 (11.7) years, 57.4% were men, 85.6% were White, and 1,096 deaths and 1,201 events of progression occurred. The mean (SD) points of three indexes were 51.2 (6.3) for PDI, 51.1 (6.7) for hPDI, and 51.2 (8.1) for uPDI. Compared to the lowest quintile (Q1), the highest quintile (Q5) of PDI was significantly associated with better overall survival (HR: 0.80 [0.65-0.99]) and progression-free survival (HR: 0.80 [0.65-0.98]). Similar findings were observed for hPDI, but uPDI was not significantly associated with worse survival. Conclusions: Our findings suggest that plant-based diet is associated with better survival among patients with metastatic colorectal cancer, and plant-based dietary interventions should be considered for future trials in metastatic colorectal cancer. Table. Adjusted Associations of Plant-Based Diet with Survival in Metastatic Colorectal Cancer Q1 Q2 Q3 Q4 Q5 P for trend Overall Survival PDI 1.00 0.96 (0.80-1.16) 0.93 (0.77-1.14) 0.82 (0.67-0.99) 0.80 (0.65-0.99) 0.01 hPDI 1.00 0.95 (0.78-1.14) 0.94 (0.77-1.15) 0.86 (0.70-1.04) 0.84 (0.68-1.03) 0.07 uPDI 1.00 1.14 (0.95-1.39) 1.07 (0.87-1.31) 1.18 (0.97-1.45) 1.17 (0.95-1.45) 0.15 Progression-free Survival PDI 1.00 0.84 (0.70-1.01) 0.94 (0.78-1.14) 0.93 (0.77-1.12) 0.80 (0.65-0.98) 0.10 hPDI 1.00 0.86 (0.72-1.03) 0.83 (0.69-1.01) 0.80 (0.67-0.97) 0.80 (0.66-0.97) 0.03 uPDI 1.00 1.12 (0.94-1.34) 1.11 (0.91-1.34) 1.10 (0.91-1.34) 1.15 (0.94-1.41) 0.23 Citation Format: En Cheng, Fang-Shu Ou, Chao Ma, Alan P. Venook, Heinz-Josef Lenz, Eileen M. O’Reilly, Peter T. Campbell, Chaoyuan Kuang, Bette J. Caan, Kimmie Ng, Jeffrey A. Meyerhardt. Plant-based diet and survival among patients with metastatic colorectal cancer: Findings from CALGB/SWOG 80405 (Alliance) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2200.

Cardiac allograft vasculopathy (CAV) is a distinct form of coronary artery disease that represents a major cause of death beyond the first year after heart transplantation. The pathophysiology of CAV is still not completely elucidated; it involves progressive circumferential wall thickening of both the epicardial and intramyocardial coronary arteries. Coronary angiography is still considered the gold-standard test for the diagnosis of CAV, and intravascular ultrasound (IVUS) can detect early intimal thickening with improved sensitivity. However, these tests are invasive and are unable to visualize and evaluate coronary microcirculation. Increasing evidence for non-invasive surveillance techniques assessing both epicardial and microvascular components of CAV may help improve early detection. These include computed tomography coronary angiography (CTCA), single-photon emission computed tomography (SPECT), positron emission tomography (PET), and vasodilator stress myocardial contrast echocardiography perfusion imaging. This review summarizes the current state of diagnostic modalities and their utility and prognostic value for CAV and also evaluates emerging tools that may improve the early detection of this complex disease.