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POEMS syndrome, characterized as a rare multisystem paraneoplastic syndrome, arises from plasma cell abnormalities. Coined by Bardwick in 1980, the acronym POEMS delineates the distinctive features of the syndrome: Peripheral nerve Lesions, Organomegaly, Endocrinopathy, Monoclonal gammopathy, and Skin changes. The prevalence of POEMS syndrome stands at approximately 0.3 per 100,000 individuals. Owing to its low prevalence and the paucity of prospective studies, current treatment approaches largely hinge on retrospective studies and revolve around the use of plasma cell-directed therapy typically used in multiple myeloma treatments. This article presents the pioneering case of utilizing a four-drug combination regimen of DKRd (daratumumab, carfilzomib, lenalidomide, and dexamethasone) as a first-line treatment. This is succeeded by induction therapy and subsequently, autologous hematopoietic stem cell transplantation. A comprehensive review of related literature is conducted.
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Background: Gastric cancer is a highly heterogeneous disease, presenting a major obstacle to personalized treatment. Effective markers of the immune checkpoint blockade response are needed for precise patient classification. We, therefore, divided patients with gastric cancer according to collagen gene expression to indicate their prognosis and treatment response. Methods: We collected data for 1250 patients with gastric cancer from four cohorts. For the TCGA-STAD cohort, we used consensus clustering to stratify patients based on expression levels of 44 collagen genes and compared the prognosis and clinical characteristics between collagen subtypes. We then identified distinct transcriptomic and genetic alteration signatures for the subtypes. We analyzed the associations of collagen subtypes with the responses to chemotherapy, immunotherapy, and targeted therapy. We also established a platform-independent collagen-subtype predictor. We verified the findings in three validation cohorts (GSE84433, GSE62254, and GSE15459) and compared the collagen subtyping method with other molecular subtyping methods. Results: We identified two subtypes of gastric adenocarcinoma: a high-expression collagen subtype (CS-H) and a low-expression collagen subtype (CS-L). Collagen subtype was an independent prognostic factor, with better overall survival in the CS-L subgroup. The inflammatory response, angiogenesis, and phosphoinositide 3-kinase (PI3K)/Akt pathways were transcriptionally active in the CS-H subtype, while DNA repair activity was significantly greater in the CS-L subtype. PIK3CA was frequently amplified in the CS-H subtype, while PIK3C2A, PIK3C2G, and PIK3R1 were frequently deleted in the CS-L subtype. CS-H subtype tumors were more sensitive to fluorouracil, while CS-L subtype tumors were more sensitive to immune checkpoint blockade. CS-L subtype was predicted to be more sensitive to HER2-targeted drugs, and CS-H subtype was predicted to be more sensitive to vascular endothelial growth factor and PI3K pathway-targeting drugs. Collagen subtyping also has the potential to be combined with existing molecular subtyping methods for better patient classification. Conclusions: We classified gastric cancers into two subtypes based on collagen gene expression and validated these subtypes in three validation cohorts. The collagen subgroups differed in terms of prognosis, clinical characteristics, transcriptome, and genetic alterations. The subtypes were closely related to patient responses to chemotherapy, immunotherapy, and targeted therapy.
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To enable rapid and accurate point-of-care DNA detection, we have developed a single-step, amplification-free nucleic acid detection platform, a DNA substrate-mediated autocatalysis of CRISPR/Cas12a (DSAC). DSAC makes use of the trans-cleavage activity of Cas12a and target template-activated DNA substrate for dual signal amplifications. DSAC employs two distinct DNA substrate types: one that enhances signal amplification and the other that negatively modulates fluorescent signals. The positive inducer utilizes nicked- or loop-based DNA substrates to activate CRISPR/Cas12a, initiating trans-cleavage activity in a positive feedback loop, ultimately amplifying the fluorescent signals. The negative modulator, which involves competitor-based DNA substrates, competes with the probes for trans-cleaving, resulting in a signal decline in the presence of target DNA. These DNA substrate-based DSAC systems were adapted to fluorescence-based and paper-based lateral flow strip detection platforms. Our DSAC system accurately detected African swine fever virus (ASFV) in swine's blood samples at femtomolar sensitivity within 20 min. In contrast to the existing amplification-free CRISPR/Dx platforms, DSAC offers a cost-effective and straightforward detection method, requiring only the addition of a rationally designed DNA oligonucleotide. Notably, a common ASFV sequence-encoded DNA substrate can be directly applied to detect human nucleic acids through a dual crRNA targeting system. Consequently, our single-step DSAC system presents an alternative point-of-care diagnostic tool for the sensitive, accurate, and timely diagnosis of viral infections with potential applicability to human disease detection.
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Pathological examination of nasopharyngeal carcinoma (NPC) is an indispensable factor for diagnosis, guiding clinical treatment and judging prognosis. Traditional and fully supervised NPC diagnosis algorithms require manual delineation of regions of interest on the gigapixel of whole slide images (WSIs), which however is laborious and often biased. In this paper, we propose a weakly supervised framework based on Tokens-to-Token Vision Transformer (WS-T2T-ViT) for accurate NPC classification with only a slide-level label. The label of tile images is inherited from their slide-level label. Specifically, WS-T2T-ViT is composed of the multi-resolution pyramid, T2T-ViT and multi-scale attention module. The multi-resolution pyramid is designed for imitating the coarse-to-fine process of manual pathological analysis to learn features from different magnification levels. The T2T module captures the local and global features to overcome the lack of global information. The multi-scale attention module improves classification performance by weighting the contributions of different granularity levels. Extensive experiments are performed on the 802-patient NPC and CAMELYON16 dataset. WS-T2T-ViT achieves an area under the receiver operating characteristic curve (AUC) of 0.989 for NPC classification on the NPC dataset. The experiment results of CAMELYON16 dataset demonstrate the robustness and generalizability of WS-T2T-ViT in WSI-level classification.
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BACKGROUND: Esophageal variceal diameter (EVD) is one of the most important predictors of variceal bleeding, as well as an important predictor of the effectiveness of endoscopic esophageal varices (EV) treatments. EVD is currently determined using visual inspection by endoscopic operators, meaning that results can vary widely between operators. This approach also means that cases unsuitable for endoscopic variceal ligation (EVL) can be complicated by postoperative hemorrhage. Thus, the purpose of this study was to explore the value of a virtual ruler (VR) in predicting rebleeding after the endoscopic treatment of EV in patients with cirrhosis. METHODS: We enrolled 588 patients with cirrhosis and EV (with and without gastric varices), who were treated with EVL or endoscopic injection sclerotherapy across 3 hospitals. We categorized participants into 2 groups, a nonbleeding group and a rebleeding group, according to whether they bled again after surgery. We compared basic demographic and clinical data, laboratory tests, EVD, and treatment modalities between the 2 groups. Potential risk factors for rebleeding after EV operations were analyzed using univariate and multivariable regression analyses. Correlations between esophageal variceal rebleeding and EVD were also analyzed, as was the consistency between visual EVD estimates and EVD measured using a VR. RESULTS: Child-Pugh class, albumin (ALB) levels, prothrombin time (PT), EVD (visual value), EVD (VR value), red sign, and the number of laps used for EVL showed statistically significant differences between the rebleeding and nonbleeding groups. Univariate regression analysis showed that Child-Pugh classification, ALB levels, PT, EVD (VR value), and red sign were strongly associated with rebleeding after endoscopic treatment of EV, whereas multivariable regression analysis showed that Child-Pugh classification, ALB levels, and EVD (VR value) were predictive factors for rebleeding after endoscopic treatment of EV. Differences between visual EVD estimates and VR EVD measurements were large. (Kappa value: 0.391, P < .001). However, the 2 methods showed high agreement for EVD >1 cm (87/95) CONCLUSION: EVD (VR value) can more accurately predict rebleeding rates. It can also provide a basis for selecting appropriate endoscopic treatment modalities for EV and effectively circumvent postoperative EV rebleeding.
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AIM: To investigate the correlation of serum changes and markers of brain injury (BI) in cerebrospinal fluid (CSF) with postoperative cognitive dysfunction (POCD) in patients with cerebral aneurysmal subarachnoid haemorrhage (aSAH). METHODS: 120 patients diagnosed with aSAH were included. 3 months after surgery, these patients were divided into a normal cognition group and a cognitive dysfunction (CD) group relying on the Montreal Cognitive Assessment (MoCA) Scale. RESULTS: The correlations were analysed between the serological changes and the levels of BI markers, such as neurofilament-light (NF-L) protein, Ubisquitin C-terminal hydrolase L1(UCH-L1), Glial Fibrillary Acidic Protein (GFAP), and neuron specific enolase (NSE) in patients after surgery. Hunt-Hess grading standard was employed to determine the severity of aSAH in patients. The mean values of NF-L, UCH-L1, GFAP, and NSE were (8.2 ± 4.3) pg/mL, (0.7 ± 0.3) ng/mL, (2.2 ± 0.4) ng/mL, and (48.5 ± 10.9) ng/mL in patients with severe aSAH, which were remarkably higher than those in patients with mild aSAH [(3.5 ± 0.7) pg/mL, (0.5 ± 0.2) ng/mL, (1.3 ± 0.7) ng/mL, (30.7 ± 8.2) ng/mL]. The sensitivity, specificity, and accuracy of the combined prediction of four detections for POCD were 90.80%, 84.20%, and 82.80%, respectively, which were greatly higher than those of four independent predictions (p < 0.05). The combined prediction effect of the four items, with the area under the curve (AUC) of 0.938 and the 95% confidence interval (CI) of 0.851-0.926. CONCLUSIONS: BI markers NF-L, UCH-L1, GFAP, and NSE could be utilized as predictors of POCD in patients with aSAH, deserving a reference value.
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In recent decades, the presence of perfluoroalkyl acids (PFAAs) in municipal solid waste leachate has emerged as a growing concern. Research has focused on PFAA release and occurrence characteristics in landfill and waste-to-energy leachate, highlighting their significant impact when released into wastewater treatment plants. Given the extremely high loading rate faced by current on-site leachate treatment plants (LTPs), the objective of this study is to assess whether the current "anaerobic/aerobic (A/O) + membrane bioreactor (MBR) + nanofiltration (NF) + reverse osmosis (RO)" configuration is effective in PFAAs removal. Concentrations of raw and treated leachate in 10 on-site LTPs with same treatment configuration and varying landfill ages were measured, and a comprehensive mass flow analysis of each treatment process was conducted. The results indicate that A/O treatment has limited capacity for PFAA removal, while NF and RO processes reached 77.44 % and 94.30 % removal rates of ∑PFAAs concentration, respectively. Short-chain PFAAs (> 80 % detected frequency) primarily influenced the distribution and variations of PFAAs in leachate and tend to disperse in the water phase. Correlation analysis revealed the current on-site LTPs exhibit a more efficient removal capacity for long-chain PFAAs.
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Fluorocarburos , Instalaciones de Eliminación de Residuos , Eliminación de Residuos Líquidos , Contaminantes Químicos del Agua , Contaminantes Químicos del Agua/análisis , Fluorocarburos/análisis , Eliminación de Residuos Líquidos/métodos , Aguas Residuales/química , Reactores BiológicosRESUMEN
BACKGROUND: High-flow nasal cannula (HFNC) and conventional oxygen therapy (COT) are important respiratory support strategies for acute hypoxemic respiratory failure (AHRF) in coronavirus disease 2019 (COVID-19) patients. However, the results are conflicting for the risk of intubation with HFNC as compared to COT. OBJECTIVES: We systematically synthesized the outcomes of HFNC relative to COT in COVID-19 patients with AHRF and evaluated these outcomes in relevant subpopulations. DESIGN: This study was designed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES AND METHODS: We searched PubMed, EMBASE, Web of Science, Scopus, ClinicalTrials.gov, medRxiv, BioRxiv, and the Cochrane Central Register of Controlled Trials for randomized controlled trials and observational studies that compared the efficacy of HFNC with COT in patients with COVID-19-related AHRF. Primary outcomes were intubation rate and mortality rate. Secondary outcomes were the ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2), respiratory rate, hospital length of stay, intensive care unit (ICU) length of stay, and days free from invasive mechanical ventilation. RESULTS: In total, 20 studies with 5732 patients were included. We found a decreased risk of requiring intubation in HFNC compared to COT [odds ratio (OR) = 0.61, 95% confidence interval (CI): 0.46-0.82, p = 0.0009, I2 = 75%]. Similarly, we found HFNC was associated with lower risk of intubation rate compared to COT in the subgroup of patients with baseline PaO2/FiO2 < 200 mmHg (OR = 0.69, 95% CI: 0.55-0.86, p = 0.0007, I2 = 45%), and who were in ICU settings at enrollment (OR = 0.57, 95% CI: 0.38-0.85, p = 0.005, I2 = 80%). HFNC was associated with an improvement of PaO2/FiO2 and respiratory rate compared to COT. The use of HFNC compared to COT did not reduce the mortality rate, days free from invasive mechanical ventilation, hospital length of stay, or ICU length of stay. CONCLUSION: Compared to COT, HFNC may decrease the need for tracheal intubation in patients with COVID-19-related AHRF, particularly among patients with baseline PaO2/FiO2 < 200 mmHg and those in ICU settings. TRIAL REGISTRATION: This systematic review and meta-analysis protocol was prospectively registered with PROSPERO (no. CRD42022339072).
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COVID-19 , Ventilación no Invasiva , Insuficiencia Respiratoria , Humanos , Cánula , COVID-19/terapia , Ventilación no Invasiva/efectos adversos , Ventilación no Invasiva/métodos , Oxígeno , Terapia por Inhalación de Oxígeno/efectos adversos , Insuficiencia Respiratoria/terapia , Insuficiencia Respiratoria/etiologíaRESUMEN
This study explored the possibility that the components in melanoma cytoplasm induce murine BMSCs transformation and expression of Melan-A by morphologically observing the changes of BMSCs and immunocytochemically detecting Melan-A in the cells after culturing BMSCs in medium containing melanoma cytoplasm components (MCC).MCC of B16 melanoma cells was prepared and BMSCs were cultured and induced by adding the MCC into culture medium.The cells were morphologically observed and Melan-A was immunohistochemically detected to confirm BMSCs transformation.MCC-induced BMSCs underwent morphological changes.A number of melanin granules appeared in the cytoplasm of the cells and some were released into surrounding areas.Several cells that might come from one cell formed a cluster,and their granules,together with those secreted by other induced BMSCs,formed a so-called “sphere-formed structure”.The induced BMSCs expressed Melan-A.We are led to conclude that there might be some factors in the cytoplasm of melanoma cells that might induce BMSCs transformation toward melanogenic cell,or even melanoma.