PD-1/CD80+ small extracellular vesicles from immunocytes induce cold tumours featured with enhanced adaptive immunosuppression.

Only a minority of cancer patients benefit from immune checkpoint blockade therapy. Sophisticated cross-talk among different immune checkpoint pathways as well as interaction pattern of immune checkpoint molecules carried on circulating small extracellular vesicles (sEV) might contribute to the low response rate. Here we demonstrate that PD-1 and CD80 carried on immunocyte-derived sEVs (I-sEV) induce an adaptive redistribution of PD-L1 in tumour cells. The resulting decreased cell membrane PD-L1 expression and increased sEV PD-L1 secretion into the circulation contribute to systemic immunosuppression. PD-1/CD80+ I-sEVs also induce downregulation of adhesion- and antigen presentation-related molecules on tumour cells and impaired immune cell infiltration, thereby converting tumours to an immunologically cold phenotype. Moreover, synchronous analysis of multiple checkpoint molecules, including PD-1, CD80 and PD-L1, on circulating sEVs distinguishes clinical responders from those patients who poorly respond to anti-PD-1 treatment. Altogether, our study shows that sEVs carry multiple inhibitory immune checkpoints proteins, which form a potentially targetable adaptive loop to suppress antitumour immunity.

A combined model using pre-treatment CT radiomics and clinicopathological features of non-small cell lung cancer to predict major pathological responses after neoadjuvant chemoimmunotherapy.

OBJECTIVE: To investigate the relationship between clinical pathological characteristics, pretreatment CT radiomics, and major pathologic response (MPR) of non-small cell lung cancer (NSCLC) after neoadjuvant chemoimmunotherapy, and to establish a combined model to predict the major pathologic response of neoadjuvant chemoimmunotherapy. METHODS: A retrospective study of 211 patients with NSCLC who underwent neoadjuvant chemoimmunotherapy and surgical treatment from January 2019 to April 2021 was conducted. The patients were divided into two groups: the MPR group and the non-MPR group. Pre-treatment CT images were segmented using ITK SNAP software to extract radiomics features using Python software. Then a radiomics model, a clinical model, and a combined model were constructed and validated using a receiver operating characteristic (ROC) curve. Finally, Delong's test was used to compare the three models. RESULTS: The radiomics model achieved an AUC of 0.70 (95 % CI: 0.62-0.78) in the training group and 0.60 (95 % CI: 0.45-0.76) in the validation group. RECIST assessment results were screened from all clinical characteristics as independent factors for MPR with multivariate logistic regression analysis. The AUC of the clinical model for predicting MPR was 0.66 (95 % CI: 0.59-0.73) in the training group and 0.77 (95 % CI: 0.66-0.87) in the validation group. The combined model with combined radiomics and clinicopathological characteristics achieved an AUC was 0.76 (95 % CI: 0.68-0.84) in the training group, and 0.80 (95 % CI: 0.67-0.92) in the validation group. Delong's test showed that the AUC of the combined model was significantly higher than that of the radiomics model alone in both the training group (P = 0.0067) and the validation group (P = 0.0009).The calibration curve showed good agreement between predicted and actual MPR. Clinical decision curve analysis showed that the combined model was superior to radiomics alone. CONCLUSIONS: Radiomics model can predict MPR in NSCLC after neoadjuvant chemoimmunotherapy with similar accuracy to RECIST assessment criteria. The combined model based on pretreatment CT radiomics and clinicopathological features showed better predictive power than independent radiomics model or independent clinicopathological features, suggesting that it may be more useful for guiding personalized neoadjuvant chemoimmunotherapy treatment strategies.

High-resolution detection of copy number alterations in single cells with HiScanner.

Improvements in single-cell whole-genome sequencing (scWGS) assays have enabled detailed characterization of somatic copy number alterations (CNAs) at the single-cell level. Yet, current computational methods are mostly designed for detecting chromosome-scale changes in cancer samples with low sequencing coverage. Here, we introduce HiScanner (High-resolution Single-Cell Allelic copy Number callER), which combines read depth, B-allele frequency, and haplotype phasing to identify CNAs with high resolution. In simulated data, HiScanner consistently outperforms state-of-the-art methods across various CNA types and sizes. When applied to high-coverage scWGS data from human brain cells, HiScanner shows a superior ability to detect smaller CNAs, uncovering distinct CNA patterns between neurons and oligodendrocytes. For 179 cells we sequenced from longitudinal meningioma samples, integration of CNAs with point mutations revealed evolutionary trajectories of tumor cells. These findings show that HiScanner enables accurate characterization of frequency, clonality, and distribution of CNAs at the single-cell level in both non-neoplastic and neoplastic cells.

A combined model based on radiomics features of Sonazoid contrast-enhanced ultrasound in the Kupffer phase for the diagnosis of well-differentiated hepatocellular carcinoma and atypical focal liver lesions: a prospective, multicenter study.

OBJECTIVE: The objective of this study was to develop a combined model based on radiomics features of Sonazoid contrast-enhanced ultrasound (CEUS) during the Kupffer phase and to evaluate its value in differentiating well-differentiated hepatocellular carcinoma (w-HCC) from atypical benign focal liver lesions (FLLs). METHODS: A total of 116 patients with preoperatively Sonazoid-CEUS confirmed w-HCC or benign FLL were selected from a prospective multiple study on the clinical application of Sonazoid in FLLs conducted from August 2020 to March 2021. According to the randomization principle, the patients were divided into a training cohort and a test cohort in a 7:3 ratio. Seventy-nine patients were used for establishing and training the radiomics model and combined model. In comparison, 37 patients were used for validating and comparing the performance of the models. The diagnostic efficacy of the models for w-HCC and atypical benign FLLs was evaluated using ROCs curves and decision curves. A combined model nomogram was created to assess its value in reducing unnecessary biopsies. RESULTS: Among the patients, there were 55 cases of w-HCC and 61 cases of atypical benign FLLs, including 28 cases of early liver abscess, 16 cases of atypical hepatic hemangioma, 8 cases of hepatocellular dysplastic nodules (DN), and 9 cases of focal nodular hyperplasia (FNH). The radiomics model and combined model we established had AUCs of 0.905 and 0.951, respectively, in the training cohort, and the AUCs of the two models in the test cohort were 0.826 and 0.912, respectively. The combined model outperformed the radiomics feature model significantly. Decision curve analysis demonstrated that the combined model achieved a higher net benefit within a specific threshold probability range (0.25 to 1.00). A nomogram of the combined model was developed. CONCLUSION: The combined model based on the radiomics features of Sonazoid-CEUS in the Kupffer phase showed satisfactory performance in diagnosing w-HCC and atypical benign FLLs. It can assist clinicians in timely detecting malignant FLLs and reducing unnecessary biopsies for benign diseases.

PESSA: A web tool for pathway enrichment score-based survival analysis in cancer.

The activation levels of biologically significant gene sets are emerging tumor molecular markers and play an irreplaceable role in the tumor research field; however, web-based tools for prognostic analyses using it as a tumor molecular marker remain scarce. We developed a web-based tool PESSA for survival analysis using gene set activation levels. All data analyses were implemented via R. Activation levels of The Molecular Signatures Database (MSigDB) gene sets were assessed using the single sample gene set enrichment analysis (ssGSEA) method based on data from the Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), The European Genome-phenome Archive (EGA) and supplementary tables of articles. PESSA was used to perform median and optimal cut-off dichotomous grouping of ssGSEA scores for each dataset, relying on the survival and survminer packages for survival analysis and visualisation. PESSA is an open-access web tool for visualizing the results of tumor prognostic analyses using gene set activation levels. A total of 238 datasets from the GEO, TCGA, EGA, and supplementary tables of articles; covering 51 cancer types and 13 survival outcome types; and 13,434 tumor-related gene sets are obtained from MSigDB for pre-grouping. Users can obtain the results, including Kaplan-Meier analyses based on the median and optimal cut-off values and accompanying visualization plots and the Cox regression analyses of dichotomous and continuous variables, by selecting the gene set markers of interest. PESSA (https://smuonco.shinyapps.io/PESSA/ OR http://robinl-lab.com/PESSA) is a large-scale web-based tumor survival analysis tool covering a large amount of data that creatively uses predefined gene set activation levels as molecular markers of tumors.

Risk Prediction Model for Radiation-Induced Dermatitis in Patients with Cervical Carcinoma undergoing Chemoradiotherapy.

PURPOSE: Radiation-induced dermatitis (RD) is a common side effect of therapeutic ionizing radiation that can severely affect patient quality of life. This study aimed to develop a risk prediction model for the occurrence of RD in patients with cervical carcinoma undergoing chemoradiotherapy using electronic medical records (EMRs). METHODS: Using electronic medical records, the clinical data of patients who underwent simultaneous radiotherapy and chemotherapy at a tertiary cancer hospital between 2017 and 2022 were retrospectively collected, and the patients were divided into two groups: a training group and a validation group. A predictive model was constructed to predict the development of RD in patients who underwent concurrent radiotherapy and chemotherapy for cervical cancer. Finally, the model's efficacy was validated using a receiver operating characteristic (ROC) curve. RESULTS: The incidence of radiation dermatitis was 89.5% (560/626) in the entire cohort, 88.6% (388/438) in the training group, and 91.5% (172/188) in the experimental group. The nomogram was established based on the following factors: age, the days between the beginning and conclusion of radiotherapy, the serum albumin (ALB) after chemoradiotherapy, the use of single or multiple drugs for concurrent chemotherapy, and the total dose of afterloading radiotherapy. Internal and external verification indicated that the model had good discriminatory ability. Overall, the model achieved an AUC of .66. CONCLUSIONS: The risk of RD in patients with cervical carcinoma undergoing chemoradiotherapy is high. A risk prediction model can be developed for RD in cervical carcinoma patients undergoing chemoradiotherapy, based on over 5 years of EMR data from a tertiary cancer hospital.

Integrated molybdenum single atom array sensors with multichannels for nitrite detection in foods.

Nitrite (NO2-) is present in a variety of foods, but the excessive intake of NO2- can indirectly lead to carcinogenic, teratogenic, mutagenicity and other risks to the human body. Therefore, the detection of NO2- is crucial for maintaining human health. In this study, an integrated array sensor for NO2- detection is developed based on molybdenum single atom material (IMSMo-SAC) using high-resolution electrohydrodynamic (EHD) printing technology. The sensor comprises three components: a printed electrode array, multichannels designed on polydimethylsiloxane (PDMS) and an electronic signal process device with bluetooth. By utilizing Mo-SAC to facilitate electron transfer during the redox reaction, rapid and efficient detection of NO2- can be achieved. The sensor has a wide linear range of 0.1 µM-107.8 mM, a low detection limit of 33 nM and a high sensitivity of 0.637 mA-1mM-1 cm-2. Furthermore, employing this portable array sensor allows simultaneously measurements of NO2- concentrations in six different foods samples with acceptable recovery rates. This array sensor holds great potential for detecting of small molecules in various fields.

A Hexanuclear Gadolinium(III)-Based Nanoprobe for Magnetic Resonance Imaging of Tumor Apoptosis.

Magnetic resonance imaging (MRI) is instrumental in the noninvasive evaluation of tumor tissues in patients subjected to chemotherapy, thereby yielding essential diagnostic data crucial for the prognosis of tumors and the formulation of therapeutic strategies. Currently, commercially available MRI contrast agents (CAs) predominantly consist of mononuclear gadolinium(III) complexes. Because there is only one Gd(III) atom per molecule, these CAs often require administration in high doses to achieve the desired contrast quality, which inevitably leads to some adverse events. Herein, we develop a six-nuclei, apoptosis-targeting T1 CA, Gd6-ZnDPA nanoprobe, which consists of a hexanuclear gadolinium nanocluster (Gd6) with an apoptosis-targeting group (ZnDPA). The amplification of Gd(III) by the hexanuclear structure generates its high longitudinal relaxivity (44.67 mM-1 s-1, 1T) and low r1/r2 ratio (0.68, 1T). Based on the Solomon-Bloembergen-Morgan (SBM) theory, this notable improvement is primarily ascribed to a long correlation tumbling time (τR). More importantly, the Gd6-ZnDPA nanoprobe shows excellent tumor apoptosis properties with an enhanced MR signal ratio (∼74%) and a long MRI imaging acquisition time window (∼48 h) in 4T1 tumor-bearing mice. This study introduces an experimental gadolinium-based CA for the potential imaging of tumor apoptosis in the context of MRI.

Tracheobronchopathia osteochondroplastica concurrent with peripheral lung cancer: a case report and perioperative considerations.

Background: Tracheobronchopathia osteochondroplastica (TPO) is a rare, benign, chronic disorder of unknown etiology. It is characterized by submucosal nodules, often calcified, which predominantly affect the anterolateral aspects of the trachea and main bronchi, while sparing the posterior bronchial wall. The co-occurrence of TPO and lung cancer is exceedingly rare. This report presents a case of TPO association with early-stage lung cancer, which was managed through surgical intervention. No active treatment was undertaken for the TPO. Case Description: A patient presented with a nodule in the right upper lobe, which was identified during a computed tomography (CT) scan of the chest, suggestive of early-stage lung cancer. Concurrently, multiple calcifications in the cartilaginous rings of the trachea were noted. Bronchoscopy revealed distinctive "pebblestone" nodules along the anterior and lateral tracheal walls, indicative of extensive TPO. The patient underwent bronchofiberscopy, which showed patency in the bronchial lumen of the right lung's upper lobe. A biopsy was not undertaken during this procedure. Comprehensive preoperative tests, including a blood biochemical examination, tumor-marker tests, lung-function tests, head-enhanced magnetic resonance imaging, abdominal ultrasound, and whole-body bone emission CT revealed no significant abnormalities. Despite this, the patient declined a whole-body positron emission tomography (PET)-CT scan. Given the potential malignancy of nodules in the right lung's upper lobe, the lobectomy for lung cancer was carried out, a procedure that would have proceeded irrespective of the presence or absence of TPO. Preoperative planning for potential tracheal intubation difficulties involved consultation with the anesthesiologist, resulting in a smooth intraoperative process. The pathology confirmed invasive adenocarcinoma. Post-surgery, the patient developed an infection in the right lung's lower lobe, identified as pseudomonas aeruginosa and Klebsiella pneumoniae through sputum culture and bronchoscopic lavage. Treatment with meropenem for 2 weeks, as guided by drug sensitivity results and respiratory advice, led to an improvement, allowing for discharge. A follow-up lung CT four months post-operation showed inflammation absorption in the right lower lobe. Conclusions: Surgical resection in cases of TPO association with lung cancer may have an increased risk of postoperative pulmonary infection. Proactive intraoperative sputum aspiration by anesthesiologists and the postoperative reinforcement of anti-infection measures, guided by drug sensitivity results, are recommended.

Important role and underlying mechanism of non­SMC condensin I complex subunit G in tumours (Review).

At present, the incidence of tumours is increasing on a yearly basis, and tumourigenesis is usually associated with chromosomal instability and cell cycle dysregulation. Moreover, abnormalities in the chromosomal structure often lead to DNA damage, further exacerbating gene mutations and chromosomal rearrangements. However, the non­SMC condensin I complex subunit G (NCAPG) of the structural maintenance of chromosomes family is known to exert a key role in tumour development. It has been shown that high expression of NCAPG is closely associated with tumour development and progression. Overexpression of NCAPG variously affects chromosome condensation and segregation during cell mitosis, influences cell cycle regulation, promotes tumour cell proliferation and invasion, and inhibits apoptosis. In addition, NCAPG has been associated with tumour cell stemness, tumour resistance and recurrence. The aim of the present review was to explore the underlying mechanisms of NCAPG during tumour development, with a view towards providing novel targets and strategies for tumour therapy, and through the elucidation of the mechanisms involved, to lay the foundation for future developments in health.

Molecular Modeling of Shockwave-Mediated Blood-Brain Barrier Opening for Targeted Drug Delivery.

Bubble-enhanced shock waves induce the transient opening of the blood-brain barrier (BBB) providing unique advantages for targeted drug delivery of brain tumor therapy, but little is known about the molecular details of this process. Based on our BBB model including 28 000 lipids and 280 tight junction proteins and coarse-grained dynamics simulations, we provided the molecular-level delivery mechanism of three typical drugs for the first time, including the lipophilic paclitaxel, hydrophilic gemcitabine, and siRNA encapsulated in liposome, across the BBB. The results show that the BBB is more difficult to be perforated by shock-induced jets than the human brain plasma membrane (PM), requiring higher shock wave speeds. For the pores formed, the BBB exhibits a greater ability to self-heal than PM. Hydrophobic paclitaxel can cross the BBB and be successfully absorbed, but the amount is only one-third of that of PM; however, the absorption of hydrophilic gemcitabine was almost negligible. Liposome-loaded siRNAs only stayed in the first layer of the BBB. The mechanism analysis shows that increasing the bubble size can promote drug absorption while reducing the risk of higher shock wave overpressure. An exponential function was proposed to describe the relation between bubble and overpressure, which can be extended to the experimental microbubble scale. The calculated overpressure is consistent with the experimental result. These molecular-scale details on shock-assisted BBB opening for targeted drug delivery would guide and assist experimental attempts to promote the application of this strategy in the clinical treatment of brain tumors.

[Mechanism of Fushen Granules treat peritoneal dialysis-related peritonitis by regulating TLR4/NF-κB pathway:based on network pharmacology and animal experiments].

Network pharmacology was employed to probe into the mechanism of Fushen Granules in treating peritoneal dialysis-rela-ted peritonitis(PDRP) in rats. The main active components of Fushen Granules were searched against the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and their targets were predicted. PDRP-related targets were retrieved from DisGeNET and other databases. The common targets shared by the drug and the disease were identified by the online tool, and protein-protein interaction(PPI) network of the common targets. The obtained 276 common targets were imported into DAVID for GO function enrichment and KEGG pathway enrichment. The main signaling pathway of Fushen Granules in the treatment of PDRP was predicted as Toll-like receptor 4(TLR4)/nuclear factor(NF)-κB. The rat model of uremia was induced by 5/6 nephrectomy. From two weeks after operation, the rat model of peritoneal dialysis(PD) was established by intraperitoneal injection of 20 mL dialysate with 1.25% glucose every day. The sham operation group and model group received 2 mL normal saline by gavage every day. The rats in Fushen Gra-nules groups were administrated with 2 mL solutions of low-(0.54 g·kg~(-1)), medium-(1.08 g·kg~(-1)) and high-dose(2.16 g·kg~(-1)) Fushen Granules every day. The bifico group received 2 mL(113.4 mg·kg~(-1)) of bifico solution every day. At the end of the 8th week, the levels of serum creatinine(Scr) and blood urea nitrogen(BUN) in each group were measured. The serum levels of hypersensitive C reactive protein(hs-CRP), tumor necrosis factor(TNF)-α, and interleukin(IL)-6 were measured, and the pathological changes in the colon tissue were observed by hematoxylin-eosin(HE) staining. The serum levels of lipopolysaccharide(LPS) and lipopolysaccharide-binding protein(LBP) of rats were measured, and the expression levels of LBP, TLR4, NF-κB p65, inhibitor of κB kinase α(IκBα), TNF-α, and IL-1ß in the colon tissue were determined. Compared with sham operation group, the model group had abnormal structure of all layers of colon tissue, sparse and shorter intestinal villi, visible edema in mucosal layer, wider gap, obvious local inflammatory cell infiltration, significantly decreased body weight(P<0.01), and significantly increased kidney function index(Scr, BUN) content(P<0.01). Serum levels of inflammatory cytokines(hs-CRP, TNF-α, IL-6), LPS and LBP were significantly increased(P<0.01), protein expressions of LBP, TLR4, NF-κB p65, TNF-α and IL-1ß were significantly increased(P<0.01), and protein expressions of IκBα were significantly decreased(P<0.01). Compared with model group, intestinal villi damage in colonic tissue of rats in low-, medium-and high-dose Fushen Granules groups and bifico group were alleviated to different degrees, edema in submucosa was alleviated, space was narrowed, and inflammatory cell infiltration in lamina propria was reduced. The contents of renal function index(Scr, BUN) and serum inflammatory factors(hs-CRP, TNF-α, IL-6) were significantly decreased(P<0.05 or P<0.01) in medium-and high-dose Fushen Granules groups and bifico group(P<0.05 or P<0.01). Serum LPS and LBP contents in Fushen Granules group and bifico group were significantly decreased(P<0.01), protein expressions of LBP, TLR4, NF-κB p65, TNF-α and IL-1ß in Fushen Granules group were significantly decreased(P<0.05 or P<0.01), and protein expressions of IκBα were significantly increased(P<0.01). The expression of LBP protein in bifico group was significantly decreased(P<0.01). The results suggest that Fushen Granules can protect the residual renal function of PD rats, reduce the inflammatory response, and protect the colon tissue. Based on network pharmacology, TLR4/NF-κB pathway may be the main signaling pathway of Fushen granule in the treatment of PDRP. The results showed that Fushen Granules could improve intestinal inflammation and protect intestinal barrier to prevent PDRP by regulating the expression of key factors in TLR4/NF-κB pathway in colon of PD rats.

MARCH5 promotes aerobic glycolysis to facilitate ovarian cancer progression via ubiquitinating MPC1.

MARCH5 is a ring-finger E3 ubiquitin ligase located in the outer membrane of mitochondria. A previous study has reported that MARCH5 was up-regulated and contributed to the migration and invasion of OC cells by serving as a competing endogenous RNA. However, as a mitochondrial localized E3 ubiquitin ligase, the function of MARCH5 in mitochondrial-associated metabolism reprogramming in human cancers remains largely unexplored, including OC. We first assessed the glycolysis effect of MARCH5 in OC both in vitro and in vivo. Then we analyzed the effect of MARCH5 knockdown or overexpression on respiratory activity by evaluating oxygen consumption rate, activities of OXPHOS complexes and production of ATP in OC cells with MARCH5. Co-immunoprecipitation, western-blot, and in vitro and vivo experiments were performed to investigate the molecular mechanisms underlying MARCH5-enhanced aerobic glycolysis s in OC. In this study, we demonstrate that the abnormal upregulation of MARCH5 is accompanied by significantly increased aerobic glycolysis in OC. Mechanistically, MARCH5 promotes aerobic glycolysis via ubiquitinating and degrading mitochondrial pyruvate carrier 1 (MPC1), which mediates the transport of cytosolic pyruvate into mitochondria by localizing on mitochondria outer membrane. In line with this, MPC1 expression is significantly decreased and its downregulation is closely correlated with unfavorable survival. Furthermore, in vitro and in vivo assays revealed that MARCH5 upregulation-enhanced aerobic glycolysis played a critical role in the proliferation and metastasis of OC cells. Taken together, we identify a MARCH5-regulated aerobic glycolysis mechanism by degradation of MPC1, and provide a rationale for therapeutic targeting of aerobic glycolysis via MARCH5-MPC1 axis inhibition.

Combined Metabolic Activators with Different NAD+ Precursors Improve Metabolic Functions in the Animal Models of Neurodegenerative Diseases.

BACKGROUND: Mitochondrial dysfunction and metabolic abnormalities are acknowledged as significant factors in the onset of neurodegenerative disorders such as Parkinson's disease (PD) and Alzheimer's disease (AD). Our research has demonstrated that the use of combined metabolic activators (CMA) may alleviate metabolic dysfunctions and stimulate mitochondrial metabolism. Therefore, the use of CMA could potentially be an effective therapeutic strategy to slow down or halt the progression of PD and AD. CMAs include substances such as the glutathione precursors (L-serine and N-acetyl cysteine), the NAD+ precursor (nicotinamide riboside), and L-carnitine tartrate. METHODS: Here, we tested the effect of two different formulations, including CMA1 (nicotinamide riboside, L-serine, N-acetyl cysteine, L-carnitine tartrate), and CMA2 (nicotinamide, L-serine, N-acetyl cysteine, L-carnitine tartrate), as well as their individual components, on the animal models of AD and PD. We assessed the brain and liver tissues for pathological changes and immunohistochemical markers. Additionally, in the case of PD, we performed behavioral tests and measured responses to apomorphine-induced rotations. FINDINGS: Histological analysis showed that the administration of both CMA1 and CMA2 formulations led to improvements in hyperemia, degeneration, and necrosis in neurons for both AD and PD models. Moreover, the administration of CMA2 showed a superior effect compared to CMA1. This was further corroborated by immunohistochemical data, which indicated a reduction in immunoreactivity in the neurons. Additionally, notable metabolic enhancements in liver tissues were observed using both formulations. In PD rat models, the administration of both formulations positively influenced the behavioral functions of the animals. INTERPRETATION: Our findings suggest that the administration of both CMA1 and CMA2 markedly enhanced metabolic and behavioral outcomes, aligning with neuro-histological observations. These findings underscore the promise of CMA2 administration as an effective therapeutic strategy for enhancing metabolic parameters and cognitive function in AD and PD patients.

US-based Sequential Algorithm Integrating an AI Model for Advanced Liver Fibrosis Screening.

Background Noninvasive tests can be used to screen patients with chronic liver disease for advanced liver fibrosis; however, the use of single tests may not be adequate. Purpose To construct sequential clinical algorithms that include a US deep learning (DL) model and compare their ability to predict advanced liver fibrosis with that of other noninvasive tests. Materials and Methods This retrospective study included adult patients with a history of chronic liver disease or unexplained abnormal liver function test results who underwent B-mode US of the liver between January 2014 and September 2022 at three health care facilities. A US-based DL network (FIB-Net) was trained on US images to predict whether the shear-wave elastography (SWE) value was 8.7 kPa or higher, indicative of advanced fibrosis. In the internal and external test sets, a two-step algorithm (Two-step#1) using the Fibrosis-4 Index (FIB-4) followed by FIB-Net and a three-step algorithm (Three-step#1) using FIB-4 followed by FIB-Net and SWE were used to simulate screening scenarios where liver stiffness measurements were not or were available, respectively. Measures of diagnostic accuracy were calculated using liver biopsy as the reference standard and compared between FIB-4, SWE, FIB-Net, and European Association for the Study of the Liver guidelines (ie, FIB-4 followed by SWE), along with sequential algorithms. Results The training, validation, and test data sets included 3067 (median age, 42 years [IQR, 33-53 years]; 2083 male), 1599 (median age, 41 years [IQR, 33-51 years]; 1124 male), and 1228 (median age, 44 years [IQR, 33-55 years]; 741 male) patients, respectively. FIB-Net obtained a noninferior specificity with a margin of 5% (P < .001) compared with SWE (80% vs 82%). The Two-step#1 algorithm showed higher specificity and positive predictive value (PPV) than FIB-4 (specificity, 79% vs 57%; PPV, 44% vs 32%) while reducing unnecessary referrals by 42%. The Three-step#1 algorithm had higher specificity and PPV compared with European Association for the Study of the Liver guidelines (specificity, 94% vs 88%; PPV, 73% vs 64%) while reducing unnecessary referrals by 35%. Conclusion A sequential algorithm combining FIB-4 and a US DL model showed higher diagnostic accuracy and improved referral management for all-cause advanced liver fibrosis compared with FIB-4 or the DL model alone. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Ghosh in this issue.

Pain Intensity and Satisfaction of Pain Relief in Discharged Cancer Patients: A Large Sample Study in China.

BACKGROUND: Many studies have focused on the quality of pain management in hospitalized patients with cancer pain, while what happens after discharge remains unclear. AIM: The purpose of this study was to investigate the pain intensity and satisfaction of pain relief among a large sample of Chinese patients with cancer pain after discharge. DESIGN: Cross-sectional, descriptive, correlational research. SETTINGS AND SAMPLE: ABOUT: 1,013 patients were recruited in a tertiary cancer hospital, and their residence addresses were distributed in 6 geographical regions, including 26 provinces, municipalities, and autonomous regions. METHODS: The 1,013 patients with cancer pain were discharged from the wards of a national cancer hospital in China from July 2020 to October 2021. A nurse in the pain clinic followed the patients based on a whole-process information system and collected the data after the cancer pain patients were discharged. The study methods followed the STROBE guidelines. RESULTS: The average age of 1,013 discharged patients was 61.30 (±12.56) years. Moderate and severe background pain (BGP) was reported in 749 patients (73.94%), and more than 3 instances of breakthrough pain (BTP) in the past 24 hours were reported in 541 patients (53.41%). More severe BGP was associated with more frequent BTP (p < .01). In addition, there were 572 patients (56.47%) whose satisfaction with pain relief was lower than 70%. More severe BGP was associated with a lower satisfaction degree (r = -0.796, p < .01). CONCLUSIONS: Pain among discharged Chinese patients with cancer is poorly managed, and there is a low degree of satisfaction with pain relief. Nurses can do more work to assist cancer patients in managing pain more effectively by ensuring they have a plan to report and manage pain after discharge.

Miscibility Characteristics of CO2-Oil in Tight Sandstone Reservoirs: Insights from Molecular Dynamics Simulations.

Identifying the microscopic mechanism of CO2-oil miscibility is significant for the CO2 enhanced oil recovery (CO2-EOR) in tight sandstone reservoirs. In this work, the effects of oil composition, formation pressure, temperature, and methane content on the characteristics of the CO2-oil miscibility were systematically studied by molecular simulation methods. According to the change of oil-gas centroid displacement, the CO2-oil miscibility behavior was divided into four stages: rapid diffusion, CO2 dissolution and oil swelling, competitive adsorption and oil film detachment, and complete miscibility or dynamic equilibrium stability. The results showed that light or medium component oil is more easily miscible with CO2 under reservoir conditions. The changes in temperature and pressure will greatly influence the oil-gas miscibility. Increasing the temperature is conducive to reducing the adsorption energy between oil and quartz, thus improving the miscibility of CO2 and heavy component oil. However, the static swelling effects of CO2 alone cannot effectively displace the heavy component oil on quartz. The CO2 diffusion coefficient perpendicular to the quartz surface does not increase continuously with the temperature increase due to the adsorption of oil and quartz. There is a critical temperature range of 320-340 K, which makes the miscibility effects the best. A small amount of CH4 can enhance the interaction energy between the two phases of oil and gas, thus promoting the miscibility of CO2 and oil at the interface. However, it is not conducive to oil film detachment, with the CH4 content increasing.

Thermal ablation with and without adjuvant systemic therapy: a nationwide multicenter observational cohort study of solitary colorectal liver metastases.

BACKGROUND: Thermal ablation is routinely used for solitary colorectal liver metastases (SCLM), but the added value of adjuvant systemic therapy in SCLM remains unclear. This study aimed to compare the long-term outcomes for SCLM treated by ablation alone (AB) versus ablation plus systemic therapy (AS). METHODS: This multicenter retrospective study using nationwide data from fourteen institutions between October 2010 and May 2023, 369 patients with initial SCLM smaller than 5 cm, no extrahepatic metastases, and colorectal cancer R0 resection treated by thermal ablation were included. The crude analysis was used to analyze eligible cases between the two groups. The propensity score matching (PSM) to control for potential confounders in each matched group. Subgroup analyses were performed to identify specific survival benefits. RESULTS: 61.2% (226/369) of eligible patients were treated with AS and 38.8% (143/369) with AB. During the median follow-up period of 8.8 years, 1-/3-/5-year DFS/OS rates did not differ between the two groups, when analyzed via PSM (P=0.52/0.08). Subgroup analysis revealed that AS was significantly associated with better OS than AB in patients with plasma CEA >5 ug/L (P=0.036), T (III-IV) category of primary cancer (P=0.034), or clinical risk score (1-2) (P=0.041). In each matched group, we did find a significant difference in drug-related adverse events (P<0.001) between AS group (24.1%, 28/116) and AB group (0.0%, 0/116). CONCLUSIONS: For patients with plasma CEA >5 ug/L, T (III-IV) category of primary cancer, or clinical risk score (1-2), thermal ablation plus systemic therapy appeared to be associated with improved overall survival. Thermal ablation was equally effective in disease-free survival for treating solitary colorectal liver metastasis, whether with or without adjuvant systemic therapy.

Intra-individual comparison of Sonazoid contrast-enhanced ultrasound and SonoVue contrast-enhanced ultrasound in diagnosing hepatocellular carcinoma.

PURPOSE: To assess whether the diagnostic performance of Sonazoid contrast-enhanced ultrasound (SZUS) is non-inferior to that of SonoVue contrast-enhanced ultrasound (SVUS) in diagnosing hepatocellular carcinoma (HCC) in individuals with high risk. MATERIALS AND METHODS: This prospective study was conducted from October 2020 to May 2022 and included participants with a high risk of HCC who underwent SZUS and SVUS. All lesions were confirmed by clinical or pathological diagnosis. Each nodule was classified according to the Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System version 2017 (CEUS LI-RADS v2017) for SVUS and SZUS and the modified CEUS LI-RADS (using Kupffer phase defect instead of late and mild washout) for SZUS. The diagnostic performance of both two modalities for all observations was compared. Analysis of the vascular phase and Kupffer phase imaging characteristics of CEUS was performed. RESULTS: One hundred and fifteen focal liver lesions from 113 patients (94 HCCs, 12 non-HCC malignancies, and 9 benign lesions) were analysed. According to CEUS LI-RADS (v2017), SVUS and SZUS showed similar sensitivity (71.3% vs. 72.3%) and specificity (85.7% vs. 81.0%) in HCC diagnosis. However, the modified CEUS LI-RADS did not significantly improve the diagnostic efficacy of Sonazoid compared to CEUS LI-RADS v2017, having equivalent sensitivity (73.4% vs. 72.3%) and specificity (81.0% vs. 81.0%). The agreement between SVUS and SZUS for all observations was 0.610 (95% CI 0.475, 0.745), while for HCCs it was 0.452 (95% CI 0.257, 0.647). CONCLUSION: Using LI-RADS v2017, SZUS and SVUS showed non-inferior efficacy in evaluating HCC lesions. In addition, adding Kupffer phase defects to SZUS does not notably improve its diagnostic efficacy.