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Considering the large demand for electricity in the era of artificial intelligence and big data, there is an urgent need to explore novel energy storage media with higher energy density and intelligent temperature self-check functions. High-entropy (HE) ceramic capacitors are of great significance because of their excellent energy storage efficiency and high power density (PD). However, the contradiction between configurational entropy and polarization in traditional HE systems greatly restrains the increase in energy storage density. Herein, the contradiction is effectively solved by regulating the octahedral tilt and cationic displacement in ABO3-type perovskite HE ceramics, i.e., (1-x)[0.6(Bi0.47Na0.47Yb0.03Tm0.01)TiO3-0.4(Ba0.5Sr0.5)TiO3]-xSr(Zr0.5Hf0.5)O3 (BNYTT-BST-xSZH). Combining the tape-casting process and cold isostatic pressing, the optimal BNYTT-BST-0.06SZH ceramic displays a large recoverable energy storage density (10.46 J cm-3) at 685 kV cm-1 and a high PD (332.88 MW cm-3). More importantly, due to Tm/Yb codoping, abnormal fluorescent negative thermal expansion and excellent real-time temperature sensing are developed, thus the application of fault detection and warning in high-voltage transmission line systems is conceptualized. This study provides an effective strategy for enhancing the polarization of energy-storing HE ceramics and offers a promising material for overcoming the problems of insufficient capacitor density and thermal runaway in terminal communication.
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Understanding the way cells communicate, co-locate, and interrelate is essential to understanding human physiology. Hematoxylin and eosin (H&E) staining is ubiquitously available both for clinical studies and research. The Colon Nucleus Identification and Classification (CoNIC) Challenge has recently innovated on robust artificial intelligence labeling of six cell types on H&E stains of the colon. However, this is a very small fraction of the number of potential cell classification types. Specifically, the CoNIC Challenge is unable to classify epithelial subtypes (progenitor, endocrine, goblet), lymphocyte subtypes (B, helper T, cytotoxic T), or connective subtypes (fibroblasts, stromal). In this paper, we propose to use inter-modality learning to label previously un-labelable cell types on virtual H&E. We leveraged multiplexed immunofluorescence (MxIF) histology imaging to identify 14 subclasses of cell types. We performed style transfer to synthesize virtual H&E from MxIF and transferred the higher density labels from MxIF to these virtual H&E images. We then evaluated the efficacy of learning in this approach. We identified helper T and progenitor nuclei with positive predictive values of 0.34 ± 0.15 (prevalence 0.03 ± 0.01) and 0.47 ± 0.1 (prevalence 0.07 ± 0.02) respectively on virtual H&E. This approach represents a promising step towards automating annotation in digital pathology.
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Background: Cancer antigen 125 (CA125) and human epididymis protein 4 (HE4) are the most commonly used tumor biomarkers for ovarian cancer (OC) screening and diagnosis. The risk of ovarian malignancy algorithm (ROMA) score uses these markers, as detected by the Roche system, to predict the risk of OC. This study sought to assess the performance of the Mindray system in detecting CA125 and HE4 for ROMA score calculation in clinical settings. Methods: Consecutive OC patients and patients with benign pelvic masses were screened and enrolled in this study. The CA125 and HE4 levels of these patients were measured using both the Mindray and Roche systems. The ROMA score for each patient was calculated. Diagnostic performance was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Results: The HE4 and CA125 levels were significantly higher in the patients with OC than the patients with benign ovarian masses. Both detection systems showed high efficiency in detecting ovarian cancer. For the premenopausal OC patients, the AUC values for the ROMA score, HE4, and CA125 were 0.866, 0.852, and 0.879, respectively, using the Roche system, and 0.911, 0.902, and 0.883, respectively, using the Mindray system. For the postmenopausal OC patients, the AUC values for the ROMA score, HE4, and CA125 were 0.962, 0.920, and 0.953, respectively, using Roche system, and 0.966, 0.924, and 0.959, respectively, using the Mindray system. The correlation analysis showed strong agreement between the two systems. Among the patients who experienced recurrence, we observed a significant increase in both HE4 and CA125 levels compared to baseline using the Mindray system. Conclusions: The Mindray and Roche systems provide consistent results. The Mindray system can be used to detect HE4 and CA125 for ROMA score calculation.
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OBJECTIVE: Nv Zhen Er Xian He Ji (NZEXHJ) is used to treat perimenopausal syndrome (PS), but its effect on perimenopausal coronary heart disease is unclear. Furthermore, the aim of this research is to study the effect of NZEXHJ on perimenopausal coronary heart disease (PMCHD) in a rat model based on a network pharmacology approach. MATERIALS AND METHODS: Based on network pharmacological analysis combined with molecular docking, we predicted the potential therapeutic target and pharmacological mechanism of NZEXHJ in the treatment of PMCHD. We used an ovariectomized rat (OVR) model to understand the effect of NZEXHJ on myocardial injury and further verified the target of NZEXHJ in the intervention of PMCHD. RESULTS: We selected 52 active components of NZEXHJ against PMCHD and an intersection of their targets on network pharmacology, to which SCN5A, SER1, AR, and PGR were significantly correlated. The protein- protein interaction network revealed CASP3, CXCL8, IL6, MAPK1, TNF, TP53, and VEGFA in the treatment of PMCHD with NZEXHJ. Kaempferol, luteolin, and mistletoe presented good affinity towards the aforementioned targets by Molecular docking NZEXHJ exerted protecting cardiomyocytes for OVR. The mechanism was related to a reduction in the expression levels of the CXCL8, TNF, and regulating PI3K-AKT signaling pathways. CONCLUSION: This study reveals the potential multi-component, multi-target, and multi-pathway pharmacological effects of NZEXHJ and predicts its protection against myocardial infarction in ovariectomized rats through the PI3K Akt pathway, providing a theoretical basis for the treatment of PMCHD.
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INTRODUCTION: Nasopharyngeal carcinoma (NPC), arising from nasopharyngeal epithelium is caused by Epstein-Barr virus (EBV). It is common in South China, South East Asia and North East India. The aim and objectives of this study were to determine the prevalence of EBV in formalin-fixed paraffin-embedded (FFPE) tissue sections of clinically suspected NPC patients, correlate the results of polymerase chain reaction (PCR) with histopathology findings, and to determine the utility of tissue EBV DNA as a diagnostic bio-marker. MATERIALS AND METHODS: 31 FFPE tissue samples were collected from clinically suspected NPC patients from April 2018-December 2019. Histopathological diagnosis was done by examination of Hematoxylin and Eosin stained slides. Presence of EBV was detected by EBNA-1 PCR. IHC was performed using EBV Latent Membrane Protein 1. RESULTS: Of the 31 clinically suspected NPC cases, 15 (48.4 %) were histopathological confirmed NPC. Of these15, 13 (86.6 %) were non-keratinising undifferentiated NPC, and one each were keratinising NPC and non-keratinising differentiated NPC respectively. EBV EBNA1 PCR was positive in 35.5 % (11/31) of clinically suspected NPC cases. Of the 11 PCR positive cases, 9 (81.8 %) were histopathological confirmed NPC. Of the 31 clinically suspected NPC cases, IHC was indicated in 23 biopsies. Of which, 12 (52.2 %) were positive for LMP1 in the abnormal cells. Of the 12 IHC positive samples, 10 were NPC cases. CONCLUSION: EBV DNA as an indicator towards NPC among clinically suspected cases had a sensitivity of 60 % and specificity of 87.5 %. In this study, addition of EBV DNA detection by PCR from FFPE tissue sections could confirm EBV association in 20 % of cases where it was not detected by EBV LMP1 IHC, thus helped in increasing the detection of EBV positivity in NPC cases. Early diagnosis of NPC will improve the cure rate and hence reduce the morbidity and mortality rates.
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A high level of EpCAM overexpression in lung cancer makes this protein a promising target for targeted therapy. Radionuclide visualization of EpCAM expression would facilitate the selection of patients potentially benefiting from such treatment. Single-photon computed tomography (SPECT) using 99mTc-labeled engineered scaffold protein DARPin Ec1 has shown its effectiveness in imaging tumors with overexpression of EpCAM in preclinical studies, providing high contrast just a few hours after injection. This first-in-human study aimed to evaluate the safety and distribution of [99mTc]Tc(CO)3-(HE)3-Ec1 in patients with primary lung cancer. Twelve lung cancer patients were injected with 300.7 ± 103.2 MBq of [99mTc]Tc(CO)3-(HE)3-Ec1. Whole-body planar imaging (at 2, 4, 6 and 24 h after injection) and SPECT/CT of the lung (at 2, 4, and 6 h) were performed. The patients' vital signs and possible side effects were monitored up to 7 days after injection. The patients tolerated the injection of [99mTc]Tc(CO)3-(HE)3-Ec1 well, and their somatic condition remained normal during the entire follow-up period. There were no abnormalities in blood and urine tests after injection of [99mTc]Tc(CO)3-(HE)3-Ec1. The highest absorbed doses were in the kidneys, liver, pancreas, thyroid, gallbladder wall, and adrenals. There was also a relatively high accumulation of [99mTc]Tc(CO)3-(HE)3-Ec1 in the small and large intestines, pancreas and thyroid. According to the SPECT/CT, accumulation of [99mTc]Tc(CO)3-(HE)3-Ec1 in the lung tumor was found in all patients included in the study. Intensive accumulation of [99mTc]Tc(CO)3-(HE)3-Ec1 was also noted in regional metastases. [99mTc]Tc(CO)3-(HE)3-Ec1 can potentially be considered a diagnostic tracer for imaging EpCAM expression in lung cancer patients and other tumors with overexpression of EpCAM.
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OBJECTIVES: To investigate the effect of Chinese medicine He's Yangchao recipe on premature ovarian insufficiency (POI) and its relationship with mitochondrial function of ovarian granulose cells in an animal model. METHODS: Thirty-six female C57BL/6J mice were randomly divided into blank control group, model group, low-, medium- and high-dose He's Yangchao recipe treatment group and coenzyme Q10 (Q10) treatment group (positive control). The POI model was induced by a single intraperitoneal injection of cyclophosphamide (90 mg/kg). The animals were sacrificed after 21 days. Primary granulose cells were obtained from POI mice and treated with He's Yangchao recipe, ERß inhibitor PHTPP, and He's Yangchao recipe+PHTPP in vitro for 24 h, respectively. Ovarian histopathological changes were observed by hematoxylin-eosin (HE) staining, ATP levels were detected by luciferase assay, mtDNA copy numbers were detected by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR), mitochondrial structure changes were observed by transmission electron microscopy, protein and mRNA expression levels of estrogen receptor ß (ERß), peroxisome proliferator-activated receptor γ coactivator 1α (PGC1α), mitochondrial transcription factor A (TFAM), and superoxide dismutase 2 (SOD2) were detected by Western blotting and qRT-PCR. RESULTS: The ovarian tissue in model group exhibited few secondary and tertiary follicles, whereas the He's Yangchao recipe groups and Q10 group had abundant secondary and tertiary follicles. Compared with the blank control group, ATP and mtDNA levels in model group decreased (P<0.01), mitochondrial crista disappeared or abnormal vacuolated structure increased; the protein and mRNA levels of ERß, PGC1α, TFAM, and SOD2 decreased (all P<0.01). ATP production increased in granulose cells of high-dose He's Yangchao recipe group and Q10 group; mtDNA copy numbers increased (P<0.05 or P<0.01); abnormal mitochondrial structure was reduced; the protein and mRNA expressions of ERß, PGC1α, TFAM, and SOD2 increased (P<0.05 or P<0.01). Compared with the PHTPP intervention group, the proportion of normal mitochondrial structure in the granulose cells of He's Yangchao recipe + PHTPP group was higher; ATP content increased (P<0.05 or P<0.01); mtDNA copy numbers increased (P<0.05 or P<0.01); the protein and mRNA expression of ERß, PGC1α, TFAM and SOD2 increased (P<0.05 or P<0.01). CONCLUSIONS: He's Yangchao recipe can regulate mitochondrial biogenesis through ERß/PGC1α/TFAM pathway to improve ovarian function in POI mice.
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Proteínas de Unión al ADN , Receptor beta de Estrógeno , Ratones Endogámicos C57BL , Mitocondrias , Biogénesis de Organelos , Coactivador 1-alfa del Receptor Activado por Proliferadores de Peroxisomas gamma , Insuficiencia Ovárica Primaria , Factores de Transcripción , Femenino , Animales , Receptor beta de Estrógeno/metabolismo , Receptor beta de Estrógeno/genética , Ratones , Insuficiencia Ovárica Primaria/metabolismo , Coactivador 1-alfa del Receptor Activado por Proliferadores de Peroxisomas gamma/metabolismo , Mitocondrias/metabolismo , Factores de Transcripción/metabolismo , Factores de Transcripción/genética , Proteínas de Unión al ADN/metabolismo , Proteínas de Unión al ADN/genética , Medicamentos Herbarios Chinos/farmacología , Proteínas Mitocondriales/metabolismo , Proteínas Mitocondriales/genética , Superóxido Dismutasa/metabolismo , Proteínas del Grupo de Alta MovilidadRESUMEN
Large amounts of digitized histopathological data display a promising future for developing pathological foundation models via self-supervised learning methods. Foundation models pretrained with these methods serve as a good basis for downstream tasks. However, the gap between natural and histopathological images hinders the direct application of existing methods. In this work, we present PathoDuet, a series of pretrained models on histopathological images, and a new self-supervised learning framework in histopathology. The framework is featured by a newly-introduced pretext token and later task raisers to explicitly utilize certain relations between images, like multiple magnifications and multiple stains. Based on this, two pretext tasks, cross-scale positioning and cross-stain transferring, are designed to pretrain the model on Hematoxylin and Eosin (H&E) images and transfer the model to immunohistochemistry (IHC) images, respectively. To validate the efficacy of our models, we evaluate the performance over a wide variety of downstream tasks, including patch-level colorectal cancer subtyping and whole slide image (WSI)-level classification in H&E field, together with expression level prediction of IHC marker, tumor identification and slide-level qualitative analysis in IHC field. The experimental results show the superiority of our models over most tasks and the efficacy of proposed pretext tasks. The codes and models are available at https://github.com/openmedlab/PathoDuet.
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Eosina Amarillenta-(YS) , Inmunohistoquímica , Humanos , Neoplasias Colorrectales/patología , Neoplasias Colorrectales/diagnóstico por imagen , Hematoxilina , Interpretación de Imagen Asistida por Computador/métodos , Coloración y Etiquetado , Aprendizaje Automático Supervisado , AlgoritmosRESUMEN
Background and aims: General guideline recommendations in patients with intracerebral hemorrhage (ICH) include blood pressure-, temperature- and glucose management. The therapeutic effect of such a "care bundle" (blood pressure lowering, glycemic control, and treatment of pyrexia) on clinical outcomes becomes increasingly established. For the present study, we aimed to investigate associations of strict bundled care treatment (BCT) with clinical outcomes and characterize associations with key outcome effectors such as hematoma enlargement (HE) and peak perihemorrhagic edema (PHE). Methods: We screened consecutive ICH patients (n = 1,322) from the prospective UKER-ICH cohort study. BCT was defined as achieving and maintaining therapeutic ranges for systolic blood pressure (110-160 mmHg), glucose (80-180 mg/dL), and body temperature (35.5-37.5°C) over the first 72 h. The primary outcome was the functional outcome at 12 months (modified Rankin Scale (mRS) 0-3). Secondary outcomes included mortality at 12 months, the occurrence of hematoma enlargement, and the development of peak perihemorrhagic edema. Confounding was addressed by a doubly robust methodology to calculate the absolute treatment effect (ATE) and by calculating e-values. Results: A total of 681 patients remained for analysis, and 182 patients fulfilled all three BCT criteria and were compared to 499 controls. The ATE of BCT to achieve the primary outcome was 9.3%, 95% CI (1.7 to 16.9), p < 0.001; e-value: 3.1, CI (1.8). Mortality at 12 months was significantly reduced by BCT [ATE: -12.8%, 95% CI (-19.8 to -5.7), p < 0.001; e-value: 3.8, CI (2.2)], and no association was observed for HE or peak PHE. Significant drivers of BCT effect on the primary outcome were systolic blood pressure control (ATE: 15.9%) and maintenance of normothermia (ATE: 10.9%). Conclusion: Strict adherence to this "care bundle" over the first 72 h during acute hospital care in patients with ICH was independently associated with improved functional long-term outcome, driven by systolic blood pressure control and maintenance of normothermia. Our findings strongly warrant prospective validation to determine the generalizability especially in Western countries.Clinical trial registration:ClinicalTrials.gov, identifier [ID: NCT03183167].
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Objective: Hashimoto's encephalopathy (HE), a rare immune-mediated disorder, manifests as altered mental state, cognitive and psychological dysfunction, seizures, and myoclonus. Little is known, however, about the neuropsychological profiles of individuals with HE due to the sparse amount of research. This report overviews HE, summarizes findings from available published neuropsychological evaluations, and details neuropsychological examinations of a 57-year-old White woman with a confirmed HE diagnosis evidencing persistent neuropsychological impairment at two discrete timepoints. Method: An extensive literature search was conducted on PubMed and Google Scholar for studies including neuropsychological evaluations of HE cases. Our neuropsychological evaluation included chart review, diagnostic clinical interview, performance-based neurocognitive assessment, and measures of personality and psychopathology. Results: Our assessment revealed a largely subcortical pattern of neurocognitive impairment and impactful neuropsychiatric symptoms that, together, significantly impacted the patient's quality of life and functional status. The patient's performance improved during a six-month re-evaluation within the domains of cognition, psychological functioning, and functional independence. Conclusions: This article highlights the complexity and possible long-term sequela of HE. Complex medical history (including autoimmune disorders) and psychiatric presentation at onset may be factors related to longer-term cognitive dysfunction. Neuropsychology and psychology can serve important and unique roles in assessing long-term functioning and response to treatment in such cases.
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BACKGROUND: HE4 and CA 125 are identified as a potential biomarker for the detection of some diseases with fibrosis. OBJECTIVES: The purpose of this pilot study was to evaluate the value of human epididymis protein 4 (HE4) and cancer antigen-125 (CA-125) in otosclerosis patients. MATERIAL AND METHODS: The study population consisted of 60 people (30 otosclerosis patients, 30 control group). We collected blood samples for HE4 and CA-125 levels. Serum HE4 and CA-125 levels were measured by enzyme-linked immunosorbent assay (ELISA). We compared the results between otosclerosis patients and the normal subject. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was performed to evaluate the diagnostic value. RESULTS: There was no differences in CA-125 level between the otosclerosis (20.3 U/mL [10.4-42.1] and control group (19.3 U/mL [15.3-49.8]) (p > 0.05). HE4 level was significantly higher in the otosclerosis group (60.9 pmol/L [32.1-101.8])] than the control group (25.3 pmol/L [12.4-91.9]) (p < 0.001). The AUC in ROC analysis of HE4 was 0.768 (p < 0.001). CONCLUSIONS AND SIGNIFICANCE: Serum HE4 level may be a useful biomarker in otosclerosis. Further studies with a larger number of patients are required to confirm our pilot results.
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BACKGROUND: In light of prolonged hypoxia, children with cyanotic heart disase (CHD) are at a high risk of developing iron deficiency iron deficiency (ID) and iron deficiency anemia (IDA). Reticulocyte hemoglobin equivalent (Ret-He) is a novel and dependable indicator for assessing iron status. However, there has been no previous study regarding cut-off value in pediatric CHD group. The purpose of this study is to assess the role of Ret-He and to establish cut-off points in the diagnosis of iron deficiency and IDA in pediatric cyanotic heart disease. METHOD: This study was conducted in two tertiary hospitals in Jakarta, Indonesia. 59 children with CHD, aged 3 months to 18 years, were enrolled consecutively. To determine iron status, hematological parameters (hemoglobin, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin) and biochemical parameters for iron status (serum ferritin, transferrin saturation) were analysed and compared to Ret-He levels. The receiver operating characteristic (ROC) analysis was performed for the Ret-He cut-off points for ID and IDA. Sensitivity, specificity, positive and negative predictive value were calculated for each cut-off point. RESULT: Normal iron status was identified in 27 (45.8%) subjects, ID in 8 (13.5%) subjects, and IDA 24 (40.7%) subjects. The ID cut-off value for Ret-He is 28.8 pg (sensitivity 75%, specificity 85.2%, PPV 60%, NPV 92%, and AUC 0.828) and the Ret-He cut-off point for IDA is 28.15 pg (sensitivity 75%, specificity 88.9%, PPV 85.7%, NPV 80%, and AUC 0.824). Hemoglobin should be used in conjunction with Ret-He. ID might be detected in this cohort with Ret-He 28.8 pg and hemoglobin > 16,5 g/dL. While Ret-He 28.15 pg or Ret-He 28.15-28.8 pg with hemoglobin 16.5 g/dL could be used to diagnose IDA. CONCLUSION: The reticulocyte hemolgobin equivalent could be utilised as an iron status parameter in pediatric CHD, with a cut-off value of 28.8 pg for ID and 28.15 pg for IDA.
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Anemia Ferropénica , Cardiopatías Congénitas , Hemoglobinas , Deficiencias de Hierro , Reticulocitos , Humanos , Anemia Ferropénica/diagnóstico , Anemia Ferropénica/sangre , Anemia Ferropénica/etiología , Preescolar , Masculino , Indonesia , Femenino , Lactante , Niño , Hemoglobinas/análisis , Reticulocitos/metabolismo , Cardiopatías Congénitas/complicaciones , Cardiopatías Congénitas/sangre , Cardiopatías Congénitas/diagnóstico , Adolescente , Cianosis/sangre , Cianosis/etiología , Cianosis/diagnóstico , Curva ROC , Sensibilidad y Especificidad , Biomarcadores/sangre , Hierro/sangre , Ferritinas/sangreRESUMEN
Pigeons' unexpected competence in learning to categorize unseen histopathological images has remained an unexplained discovery for almost a decade (Levensonet al2015PLoS One10e0141357). Could it be that knowledge transferred from their bird's-eye views of the earth's surface gleaned during flight contributes to this ability? Employing a simulation-based verification strategy, we recapitulate this biological phenomenon with a machine-learning analog. We model pigeons' visual experience during flight with the self-supervised pre-training of a deep neural network on BirdsEyeViewNet; our large-scale aerial imagery dataset. As an analog of the differential food reinforcement performed in Levensonet al's study 2015PLoS One10e0141357), we apply transfer learning from this pre-trained model to the same Hematoxylin and Eosin (H&E) histopathology and radiology images and tasks that the pigeons were trained and tested on. The study demonstrates that pre-training neural networks with bird's-eye view data results in close agreement with pigeons' performance. These results support transfer learning as a reasonable computational model of pigeon representation learning. This is further validated with six large-scale downstream classification tasks using H&E stained whole slide image datasets representing diverse cancer types.
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Columbidae , Neoplasias , Redes Neurales de la Computación , Animales , Columbidae/fisiología , Neoplasias/patología , Neoplasias/diagnóstico por imagen , Aprendizaje Automático , Vuelo Animal/fisiologíaRESUMEN
The exploration of potential variations in fundamental physical constants is crucial for testing of Grand Unification Theories (GUTs), which aim to unify the fundamental forces of nature. This study utilizes direct observational tests to explore these variations, offering a deep-look into the universe's distant past. By analyzing high-resolution quasar spectra of HE 0515-4414* and comparing them with laboratory-calibrated Ritz wavelengths, we establish an upper limit on the possible cosmological deviation of the gravitational constant: G Ë / G = ( 0.918 ± 2.830 ) × 10 - 15 yr - 1 over cosmic timescales. Our findings provide a novel tool for probing the physical implications of GUTs, contributing to our understanding of fundamental physics.
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Hepatitis E (Hepatitis E, HE) is an acute and chronic infectious hepatitis caused by hepatitis E virus (Hepatitis E Virus, HEV) infection, which is responsible for most acute hepatitis in the world and is a significant public health problem. The pathogen, HEV, has three Open Reading Frames (ORFs) ORF1, ORF2, and ORF3, each of which has a different function. Most of the current research is focused on ORF1 and ORF2, while the research on ORF3 is still relatively small. To provide more ideas for the study of HEV pathogenesis and the prevention and treatment of HE, this paper reviews the effects of ORF3 on the ERK pathway, growth factors, immune response, and virus release.
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Objectives: We have recently described a predictive/prognostic model for ovarian cancer, exploiting commonly available clinico-pathological parameters and the ovarian serum biomarkers mesothelin (MSL), human epididymis protein 4 (HE4) and cancer-antigen 125 (CA125). Considering urine as a prototype non-invasive sample, we investigated whether serum levels of these biomarkers are mirrored in urine and compared their clinical relevance in matched serum vs. urine samples. Methods: MSL, HE4 and CA125 were quantified in urinary (n=172) and matched serum samples (n=188) from ovarian cancer patients (n=192) using the Lumipulse® G chemiluminescent enzyme immunoassay (Fujirebio). Results: While absolute concentrations of MSL or CA125 were higher in serum than in matched urine samples, HE4 concentrations were considerably higher in urine than in serum. Nonetheless, the levels of all three biomarkers strongly correlated between matched serum vs. urine samples and were unrelated to BRCA1/2 mutational status. Consequently, prediction of surgical outcome or relapse/death by MSL, HE4 or CA125 was similarly efficient among urinary- vs. serum-based detection. HE4 provided the highest capacity to predict surgical outcome or relapse/death among both body fluids (urine: AUC=0.854; serum: AUC=0.750, respectively). All clinically relevant findings regarding the investigated urinary biomarkers were equally reproducible among raw vs. creatinine-normalized datasets, suggesting that normalization may have subordinate priority for urine-based analysis of these biomarkers. Conclusion: We report that the capacity of MSL, HE4 and CA125 to predict surgical outcome and relapse/death is equivalent between serum vs. urine-based detection. Urinary biomarkers, in particular HE4, may provide an additional dimension for prognostic modeling in ovarian cancer.
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Introduction: Deep learning (DL) models predicting biomarker expression in images of hematoxylin and eosin (H&E)-stained tissues can improve access to multi-marker immunophenotyping, crucial for therapeutic monitoring, biomarker discovery, and personalized treatment development. Conventionally, these models are trained on ground truth cell labels derived from IHC-stained tissue sections adjacent to H&E-stained ones, which might be less accurate than labels from the same section. Although many such DL models have been developed, the impact of ground truth cell label derivation methods on their performance has not been studied. Methodology: In this study, we assess the impact of cell label derivation on H&E model performance, with CD3+ T-cells in lung cancer tissues as a proof-of-concept. We compare two Pix2Pix generative adversarial network (P2P-GAN)-based virtual staining models: one trained with cell labels obtained from the same tissue section as the H&E-stained section (the 'same-section' model) and one trained on cell labels from an adjacent tissue section (the 'serial-section' model). Results: We show that the same-section model exhibited significantly improved prediction performance compared to the 'serial-section' model. Furthermore, the same-section model outperformed the serial-section model in stratifying lung cancer patients within a public lung cancer cohort based on survival outcomes, demonstrating its potential clinical utility. Discussion: Collectively, our findings suggest that employing ground truth cell labels obtained through the same-section approach boosts immunophenotyping DL solutions.
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Aprendizaje Profundo , Inmunofenotipificación , Neoplasias Pulmonares , Coloración y Etiquetado , Humanos , Neoplasias Pulmonares/inmunología , Neoplasias Pulmonares/patología , Coloración y Etiquetado/métodos , Biomarcadores de Tumor/metabolismo , Masculino , Linfocitos T/inmunología , FemeninoRESUMEN
BACKGROUND: To provide patients the chance of accepting curative transjugular intrahepatic portosystemic shunt (TIPS) rather than palliative treatments for portal hypertension-related variceal bleeding and ascites, we aimed to assess hepatic-associated vascular morphological change to improve the predictive accuracy of overt hepatic encephalopathy (HE) risks. METHODS: In this multicenter study, 621 patients undergoing TIPS were subdivided into training (413 cases from 3 hospitals) and external validation datasets (208 cases from another 3 hospitals). In addition to traditional clinical factors, we assessed hepatic-associated vascular morphological changes using maximum diameter (including absolute and ratio values). Three predictive models (clinical, hepatic-associated vascular, and combined) were constructed using logistic regression. Their discrimination and calibration were compared to test the necessity of hepatic-associated vascular assessment and identify the optimal model. Furthermore, to verify the improved performance of ModelC-V, we compared it with four previous models, both in discrimination and calibration. RESULTS: The combined model outperformed the clinical and hepatic-associated vascular models (training: 0.814, 0.754, 0.727; validation: 0.781, 0.679, 0.776; p < 0.050) and had the best calibration. Compared to previous models, ModelC-V showed superior performance in discrimination. The high-, middle-, and low-risk populations displayed significantly different overt HE incidence (p < 0.001). Despite the limited ability of pre-TIPS ammonia to predict overt HE risks, the combined model displayed a satisfactory ability to predict overt HE risks, both in the low- and high-ammonia subgroups. CONCLUSION: Hepatic-associated vascular assessment improved the predictive accuracy of overt HE, ensuring curative chances by TIPS for suitable patients and providing insights for cirrhosis-related studies.
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Encefalopatía Hepática , Derivación Portosistémica Intrahepática Transyugular , Humanos , Encefalopatía Hepática/etiología , Masculino , Femenino , Persona de Mediana Edad , Cirrosis Hepática/complicaciones , Hipertensión Portal , Estudios Retrospectivos , Anciano , Valor Predictivo de las Pruebas , Hígado/patología , Hígado/irrigación sanguíneaRESUMEN
OBJECTIVE: Breast cancer is one of the most widespread tumors among women worldwide, which is difficult to treat due to the presence of chemoresistance and the risk of tumor recurrence and metastasis. There is a pressing necessity to develop efficient treatments to improve response for treatment and increase prolong survival of breast cancer patients. Photodynamic therapy (PDT) has attracted interest for its features as a noninvasive and relatively selective cancer treatment. This method relies on light-activated photosensitizers that, upon absorbing light, generate reactive oxygen species (ROS) with powerful cell-killing outcomes. Nuclear factor kappa B (NF-κB), a transcription factor, plays a key role in cancer development by regulating cell proliferation, differentiation, and survival. Inhibiting NF-κB can sensitize tumor cells to chemotherapeutic agents. Dimethyl fumarate (DMF), an NF-κB inhibitor approved by the FDA for multiple sclerosis treatment, has further shown promise in suppressing breast cancer cell growth in vitro. We hypothesized that combining PDT with Dimethyl fumarate (DMF) could further enhance therapeutic efficacy for both treatment modalities. METHODS: In the current study, we explored the PDT effect of 1 and 2 mM aminolaevulinic acid (ALA) and low-power He-Ne laser irradiation combined with different concentrations of DMF (2.5, 1.25, or 0.652 µg/ml) against hormone nonresponsive AMJ13 breast cancer cell line that is derived from Iraqi patient. RESULTS: Our results demonstrated that co-administration with all tested DMF concentrations significantly enhanced the cytotoxicity of PDT antitumor effect. The combination index analysis showed presence of synergism in combining PDT with DMF. CONCLUSION: This finding suggests that the combination of PDT with DMF could be a promising novel strategy against triple negative breast cancer that could be applied clinically due to the fact that both of these treatments are already clinically approved therapies.
Asunto(s)
Ácido Aminolevulínico , Neoplasias de la Mama , Proliferación Celular , Dimetilfumarato , FN-kappa B , Fotoquimioterapia , Fármacos Fotosensibilizantes , Humanos , Fotoquimioterapia/métodos , FN-kappa B/metabolismo , Fármacos Fotosensibilizantes/farmacología , Ácido Aminolevulínico/farmacología , Femenino , Proliferación Celular/efectos de los fármacos , Neoplasias de la Mama/tratamiento farmacológico , Neoplasias de la Mama/patología , Dimetilfumarato/farmacología , Apoptosis/efectos de los fármacos , Especies Reactivas de Oxígeno/metabolismo , Células Tumorales Cultivadas , Línea Celular TumoralRESUMEN
Ovarian cancer (OC) has an unfavorable prognosis. Due to the lack of effective screening tests, new diagnostic methods are being sought to detect OC earlier. The aim of this study was to evaluate the concentration and diagnostic utility of selected matrix metalloproteinases (MMPs) as OC markers in comparison with HE4, CA125 and the ROMA algorithm. The study group consisted of 120 patients with OC; the comparison group consisted of 70 patients with benign lesions and 50 healthy women. MMPs were determined via the ELISA method, HE4 and CA125 by CMIA. Patients with OC had elevated levels of MMP-3 and MMP-11, similar to HE4, CA125 and ROMA values. The highest SE, SP, NPV and PPV values were found for MMP-26, CA125 and ROMA in OC patients. Performing combined analyses of ROMA with selected MMPs increased the values of diagnostic parameters. The topmost diagnostic power of the test was obtained for MMP-26, CA125, HE4 and ROMA and performing combined analyses of MMPs and ROMA enhanced the diagnostic power of the test. The obtained results indicate that the tested MMPs do not show potential as stand-alone OC biomarkers, but can be considered as additional tests to raise the diagnostic utility of the ROMA algorithm.