Citations

The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Pediatric Central Nervous System Cancers provide multidisciplinary diagnostic workup, staging, and treatment recommendations for diffuse high-grade gliomas and medulloblastomas in children and adolescents. This article summarizes the studies and panel discussion that serve as the rationale for comprehensive care recommendations included in the NCCN Guidelines for Pediatric Central Nervous System Cancers.

Objective: This study evaluated the feasibility and satisfaction of using a wearable brain activity sensing device for stress reduction among patients experiencing Long COVID (LC). Patients and Methods: Patients with LC (N = 45) were invited to participate in an open-label pilot study. Participants were asked to use a brain-sensing electroencephalogram (S-EEG) wearable device (Muse-S™) daily for 90 days and followed for an additional 90 days (180 days total participation). Study enrollment began June 28, 2022, and ended July 28, 2023. Results: Patients were predominantly female (82%), white (96%), and with an average age of 47.6 (±12.5) years. At the end of treatment (90 days), cognition, sleep, self-efficacy, and quality-of-life quality of life improved ( P < .001 to P = .04). In addition, stress and anxiety were significantly reduced ( P < .001). These significant changes persisted by end-of-study (180 days). For stress ( P = .023) and anxiety ( P = .033), a change from the baseline during follow-up was significantly associated with the amount of S-EEG usage. The end-of-study satisfaction survey indicated that patients were very satisfied with the S-EEG device, and 97% planned to continue using it. Conclusion: Results suggest that the S-EEG device improved cognition in LC, which is one of the main severe symptoms we see in our LC clinic. In addition, it helped reduce stress and anxiety. These findings have important clinical implications for LC patients using S-EEG as an adjunct to concurrent LC clinical care which includes pharmacotherapies.

ABSTRACT Background Several hematological and biochemical parameters have been related to the COVID‐19 infection severity and outcomes. However, less is known about clinical indicators reflecting lung involvement of COVID‐19 patients at hospital admission. Computed tomography (CT) represents an established imaging tool for the detection of lung injury, and the quantitative analysis software CALIPER has been used to assess lung involvement in COVID‐19 patients. Herein, the relationship between the lung involvement expressed by CALIPER interstitial lung disease (ILD) percentage and a set of blood parameters related to tissue oxygenation and damage in COVID‐19 patients at hospital admission was evaluated. Methods We performed a retrospective and a prospective study involving 321 and 75, respectively, COVID‐19‐positive patients recruited from Pisa University Hospital. The association between CALIPER ILD percentages and selected blood parameters was investigated by a regression tree approach, after multiple imputations of the dataset missing values. Results High serum lactate dehydrogenase (LDH) values appeared to be predictive of high CALIPER ILD percentages at hospital admission in both retrospective and prospective datasets, even if the predictive performance of the algorithm was not optimal. Conclusions LDH levels could be evaluated as a tool for early identification of COVID‐19 patients at risk of extensive lung injury, as well as in fast screening procedures before hospitalization.

AbstractHeightened muscle sympathetic nerve activity (MSNA) contributes to impaired vasodilatory capacity and vascular dysfunction associated with aging and cardiovascular disease. The contribution of elevated MSNA to the vasodilatory response during passive leg movement (PLM) is not fully understood. This study tested the hypothesis that elevated MSNA diminishes the vasodilatory response to PLM in healthy young males (n = 11, 25 ± 2 yr). Post exercise circulatory occlusion (PECO) following 2 min of isometric handgrip (HG) exercise performed at 25% (ExPECO 25%) and 40% (ExPECO 40%) maximum voluntary contraction was used to incrementally engage the metaboreceptors and augment MSNA. Control trials were performed without PECO (ExCON 25% and ExCON 40%) to account for changes due to HG exercise. PLM was performed 2 min after exercise and hemodynamics were assessed. MSNA was recorded by microneurography in the peroneal nerve (n = 8). Measures of MSNA (i.e., burst incidences) increased during ExPECO 25% (+15 ± 5 burst/100 bpm) and ExPECO 40% (+22 ± 4 burst/100 bpm) and returned to pre‐HG levels during ExCON trials. Leg vascular conductance (vasodilation) during PLM was reduced by 16% and 44% during ExPECO 25% and ExPECO 40%, respectively. These findings indicate elevated MSNA attenuates the vasodilatory response to PLM and the magnitude of reduction in vasodilation during PLM is graded with the degree of sympathoexcitation.

ABSTRACTBackground and AimsOne strategy to minimize the risk of posttransplant lymphoproliferative disorder (PTLD) is to avoid an Epstein–Barr Virus (EBV) mismatch through kidney paired donation. We aimed to estimate the incidence of PTLD in EBV‐negative kidney transplant recipients with EBV‐positive donors (D+/R−) and evaluate the excess risk of death following the occurrence of PTLD.MethodsWe included adult patients in OPTN database who underwent kidney transplants between 2012 and 2022. Cox regression analysis was employed to evaluate the impact of EBV serostatus on the development of PTLD, and to assess mortality following PTLD diagnosis in D+/R− individuals.ResultsA total of 179 068 patients were included, with 92.8% in the R+, 6.4% in the D+/R−, and 0.8% in the D−/R− group. D+/R− exhibited a significantly higher risk of PTLD compared to R+ and D−/R− groups. D+/R− had a greater risk of PTLD when compared to D−/R− recipients (aHR: 3.82; p < 0.001). Among D+/R− recipients, those who developed PTLD had a significantly higher risk of mortality (aHR: 2.28; p < 0.001 in deceased donor kidney transplant [DDKT] and aHR: 5.22; p < 0.001 in living donor kidney transplant [LDKT]).ConclusionsD+/R− recipients have nearly a fourfold higher risk of PTLD compared to D−/R− recipients, suggesting that choosing an EBV D−/R− transplant could reduce the PTLD risk by about 73%. This data is crucial for counseling EBV‐negative patients considering kidney paired donation to avoid an EBV serostatus mismatch.

Abstract Solid tumors develop within a complex environment called the tumor microenvironment (TME), which is sculpted by the presence of other cells, such as cancer‐associated fibroblasts (CAFs) and immune cells like macrophages (Mφs). Despite the presence of immune cells, tumor cells orchestrate a tumor‐supportive environment through intricate interaction with the components of the TME. However, the specific mechanism by which this intercellular dialogue is regulated is not fully understood. To that end, the development of an organotypic 3D breast TME‐on‐a‐chip (TMEC) model, integrated with single‐cell RNA sequencing analysis, is reported to mechanistically evaluate the progression of triple‐negative breast cancer (TNBC) cells in the presence of patient‐derived CAFs and Mφs. Extensive functional assays, including invasion and morphometric characterization, reveal the synergistic influence of CAFs and Mφs on tumor cells. Furthermore, gene expression and pathway enrichment analyses identify the involvement of the KYNU gene, suggesting a potential immune evasion mechanism through the kynurenine pathway. Lastly, the pharmacological targeting of the identified pathway is investigated.

AbstractBreast cancer affects millions globally, necessitating precise biomarker testing for effective treatment. HER2 testing is crucial for guiding therapy, particularly with novel antibody‐drug conjugates (ADCs) like trastuzumab deruxtecan, which shows promise for breast cancers with low HER2 expression. Current HER2 testing methods, including immunohistochemistry (IHC) and in situ hybridization (ISH), have limitations. IHC, a semi‐quantitative assay, is prone to interobserver variability. While ISH provides higher precision than IHC, it remains more resource‐intensive in terms of cost and workflow. However, turnaround time is typically faster than that of other advanced molecular methods such as next‐generation sequencing. We adapted the clustering‐constrained‐attention multiple‐instance deep learning model to improve IHC testing and reduce dependence on reflex fluorescence ISH (FISH) tests. Using 5,731 HER2 IHC images, including 592 cases with FISH testing, we trained two models: one for predicting HER2 scores from IHC images and another for predicting FISH scores from equivocal cases. The HER2 IHC score prediction model achieved 91% ± 0.01 overall accuracy and a receiver operating characteristic (ROC) area under the curve (AUC) of 0.98 ± 0.01. The FISH score prediction model had an ROC AUC of 0.84 ± 0.07, with sensitivity at 0.37 ± 0.13 and specificity at 0.96 ± 0.03. External validation on cases from 203 institutions showed similar performance. The HER2 IHC model maintained a 91% ± 0.01 accuracy and an ROC AUC of 0.98 ± 0.01, while the FISH model had an ROC AUC of 0.75 ± 0.03, with sensitivity at 0.28 ± 0.04 and specificity at 0.93 ± 0.01. Our model advances HER2 scoring by reducing subjectivity and variability in current scoring methods. Despite lower accuracy and sensitivity in the FISH prediction model, it may be a beneficial option for settings where reflex FISH testing is unavailable or prohibitive. With high specificity, our model can serve as an effective screening tool, enhancing breast cancer diagnosis and treatment selection.

ABSTRACTObjectiveThis scoping review explores the multifaceted experience of cancer survivorship in Sub‐Saharan Africa (SSA), with a focus on the post‐treatment phase. The primary objective is to examine the psychosocial, cultural, and economic factors that influence post‐treatment survivorship care and outcomes.MethodsA comprehensive literature review was conducted using databases such as Web of Science Core Collection to identify studies published between 2000 and 2023. Eligible studies focused on post‐treatment cancer survivorship in SSA. Data were extracted, analyzed, and synthesized to identify key themes and research gaps.ResultsThe review identified substantial psychological distress among survivors, including depression, anxiety, and insomnia, often exacerbated by financial toxicity and limited access to psychosocial support services. Cultural factors, such as spiritual beliefs, reliance on traditional healers, and cancer‐related stigma, influenced healthcare‐seeking behaviors and overall well‐being. Despite these challenges, social support networks, religiosity, and targeted psychosocial interventions improved emotional resilience and quality of life. However, major gaps remain, including insufficient integration of cultural beliefs into survivorship care, inadequate long‐term follow‐up (LTFU) programs, limited oncofertility support, and a lack of regionally diverse and longitudinal data.ConclusionsCancer survivorship in SSA is shaped by intricate psychosocial, cultural, and economic dynamics that extend beyond clinical care. Addressing these challenges requires culturally sensitive, evidence‐based interventions, including financial counseling, spiritual care integration, and the establishment of structured LTFU programs. Additionally, expanding access to oncofertility support and integrating culturally relevant psychosocial services can further enhance survivorship outcomes. Strengthening collaboration between policymakers, healthcare providers, and researchers—through interdisciplinary task forces, psycho‐oncology workforce development, and community‐driven initiatives—is essential for improving post‐treatment outcomes and advancing cancer survivorship care in SSA.

AbstractObjectiveStereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐guided RFTC) has been increasingly used as diagnostic and therapeutic approach for drug‐resistant focal epilepsies (DREs). We aimed to describe seizure outcomes of RFTC before and after further neurosurgical intervention.MethodsRetrospective single‐institution case series of patients who underwent SEEG‐RFTC. The primary outcome was Engel class I–IV classification ([responders Engel I–III and non‐responders Engel IV]) at last follow‐up after RFTC and prior to further neurosurgical intervention (open surgical resection, laser ablation, and neuromodulation).ResultsTwenty‐five patients (median age 18.9 years) with DRE were included. The median follow‐up time after RFTC was 7.2 months, including 20 patients who underwent further intervention (median follow‐up time of 7.3 months) and 5 without intervention (median of 3.5 months). From the patients who had further intervention, 17 (85%) underwent surgical procedure (laser ablation 53%, open surgical resection 47%) (median 4.4 months) and 3 (15%) had responsive neurostimulators placed (median 6.9 months). Prior to further intervention (median follow‐up 3.5 months after RFTC), 12 (48%) patients were classified as responders (12% Engel class I, 16% class II, and 20% class III) and 13 (52%) as non‐responders. Following neurosurgical intervention, 17 (68%) patients were followed for a median time of 2.7 months and 3 were lost to follow‐up. Of eight initial RFTC responders, 87.5% and 12.5% had Engel classes I and III, respectively. Of nine who were non‐responders, 33% had Engel class I, 22% II and III, and 44% IV outcomes following further intervention. No neurologic complications were reported.SignificanceSEEG‐guided RFTC is a well‐tolerated procedure and a beneficial diagnostic approach prior to further neurosurgical interventions in patients with DRE.Plain Language SummarySEEG‐guided RFTC is a well‐tolerated procedure and in the patients who experienced initial seizure reduction (n = 8), subsequent neurosurgical intervention (surgery or neuromodulation) led to favorable seizure outcomes (87.5% seizure freedom and 12.5% worthwhile seizure improvement).