MiR-339-5p Inhibits Ferroptosis by Promoting Autophagic Degradation of FTH1 Through Targeting ATG7 in Liver Cancer Cells.

Background: Liver cancer has a high incidence and mortality rate worldwide, and there is an urgent need to identify new therapeutic strategies and predictive targets to improve the clinical outcomes of advanced liver cancer. Ferroptosis holds promise as a novel strategy for cancer therapy. Epigenetic dysregulation is a hallmark of cancer, and noncoding RNAs are tightly involved in cell fate determination. Therefore, we aimed to identify a novel ferroptosis regulator from aberrantly expressed microRNAs that may serve as a novel biomarker and therapeutic target for liver cancer. Methods: The expression signature and prognostic value of miR-339 was assessed using TCGA data set. The role of miR-339/ATG7/FTH1 axis in liver cancer cells were evaluated through growth curve, colony formation, 7-AAD staining. The role of miR-339 in regulation of ferroptosis was determined by immunofluorescence staining, flow cytometry, and Elisa kits. Results: Here, we showed that miR-339 is aberrantly overexpressed in patients with liver cancer. In addition, miR-339 inhibition dramatically suppresses liver cancer progression. Furthermore, miR-339 silencing drives cell death and inhibits liver cancer progression, indicating that miR-339 may serve as a novel ferroptosis suppressor. Mechanistically, we demonstrated that miR-339 targets ATG7 to facilitate the autophagic degradation of FTH1 and prevent ferroptosis in liver cancer cells. Conclusions: We provide important evidence that the miR-339 inhibition activates of the autophagy pathway to promote ferroptosis by degrading FTH1 in liver cancer cells. We found that miR-339 regulates the balance between ferroptosis and autophagy in liver cancer cells.

The prognostic role of diet quality in patients with MAFLD and physical activity: data from NHANES.

BACKGROUND AND OBJECTIVES: Dietary control and increased physical activity (PA) are recommended for patients with metabolic (dysfunction-) associated fatty liver disease (MAFLD). However, not all patients can sustain both exercise and a healthy diet. This study explored the interaction between dietary quality, PA levels, and mortality in MAFLD patients. METHODS: The Third National Health and Nutrition Examination Survey and linked mortality data were used in this study. Diet quality was assessed with the Healthy Eating Index (HEI). PA level was calculated by multiply self-reported exercise frequency and its Metabolic Equivalent A high-quality diet was associated. A Cox proportional hazard model was used to explore risk factors for mortality in MAFLD patients. RESULTS: In total, 3709 participants with MAFLD were included in the final analysis. The median follow-up time was 26.2 (interquartile range 19.3-28.1) years and 1549 (41.8%) deaths were recorded over follow-up. Cox multivariate regression was used to adjust for potential confounders of mortality. The results showed both HEI score and PA level were inversely correlated with all-cause mortality (P < 0.05). In the subgroup analysis stratified by PA level, higher diet quality decreased all-cause mortality, cardiovascular-related mortality and cancer-related mortality in PA inactive of MAFLD patients (P < 0.05), but these correlations were not present in active PA groups. CONCLUSION: Healthy diet and physical activity may have different impact as lifestyle interventions for MAFLD. A high-quality diet is associated less mortality in inactive individuals with MAFLD but not in those with active PA levels. Sedentary individuals require healthier diet.

C-reactive protein and cognitive impairment: A bidirectional Mendelian randomization study.

OBJECTIVES: While C-reactive protein (CRP) has been solidly linked as a risk factor for cognitive impairment, observational research alone cannot definitively demonstrate a causal relationship. This study therefore sought to determine whether there was an association between CRP and the development of cognitive impairment. METHODS: This study employed bidirectional Mendelian randomization (MR) to investigate the genetic association between CRP and cognitive impairment. genome-wide association studies (GWAS) summary statistics for both were sourced from IEU Open GWAS or prior reports. Cognitive GWAS's used were on tests designed to assess cognitive performance, fluid intelligence, prospective memory, and reaction time. The MR analysis applied several methods, including inverse variance-weighted (IVW), MR Egger, weighted median, simple mode, and weighted mode approaches, then use of MR sensitivity analyses to interrogate findings. RESULTS: Forward MR analysis showed that genetically proxied CRP was associated with prospective memory (P = 0.009), whereas there is little evidence to support an association between CRP and other cognitive tests. Reverse MR analysis indicated a potential association between genetic proxy cognitive performance (P = 0.002) and fluid intelligence score (P = 0.019) with CRP levels. For genetically proxied CRP on prospective memory, the level of pleiotropy (P > 0.05) and no genetic variant heterogeneity (P > 0.05) made bias unlikely, and leave-one-out tests also confirmed robust associations. CONCLUSIONS: The effect of genetically proxied CRP on prospective memory, with little evidence on other cognitive tests. The reverse MR shows some evidence of genetically proxied cognition (cognitive performance and fluid intelligence) on CRP levels.

A Transformer-Based microvascular invasion classifier enhances prognostic stratification in HCC following radiofrequency ablation.

BACKGROUND & AIMS: We aimed to develop a Transformer-based deep learning (DL) network for prognostic stratification in hepatocellular carcinoma (HCC) patients undergoing RFA. METHODS: A Swin Transformer DL network was trained to establish associations between magnetic resonance imaging (MRI) datasets and the ground truth of microvascular invasion (MVI) based on 696 surgical resection (SR) patients with solitary HCC ≤3 cm, and was validated in an external cohort (n = 180). The multiphase MRI-based DL risk outputs using an optimal threshold of .5 was employed as a MVI classifier for prognosis stratification in the RFA cohort (n = 180). RESULTS: Over 90% of all enrolled patients exhibited hepatitis B virus infection. Liver cirrhosis was significantly more prevalent in the RFA cohort compared to the SR cohort (72.2% vs. 44.1%, p < .001). The MVI risk outputs exhibited good performance (area under the curve values = .938 and .883) for predicting MVI in the training and validation cohort, respectively. The RFA patients at high risk of MVI classified by the MVI classifier demonstrated significantly lower recurrence-free survival (RFS) and overall survival rates at 1, 3 and 5 years compared to those classified as low risk (p < .001). Multivariate cox regression modelling of a-fetoprotein > 20 ng/mL [hazard ratio (HR) = 1.53; 95% confidence interval (95% CI): 1.02-2.33, p = .047], high risk of MVI (HR = 3.76; 95% CI: 2.40-5.88, p < .001) and unfavourable tumour location (HR = 2.15; 95% CI: 1.40-3.29, p = .001) yielded a c-index of .731 (bootstrapped 95% CI: .667-.778) for evaluating RFS after RFA. Among the three risk factors, MVI was the most powerful predictor for intrahepatic distance recurrence. CONCLUSIONS: The proposed MVI classifier can serve as a valuable imaging biomarker for prognostic stratification in early-stage HCC patients undergoing RFA.

Metformin-Cimetidine Drug Interaction and Risk of Lactic Acidosis in Renal Failure: A Pharmacovigilance-Pharmacokinetic Appraisal.

OBJECTIVE: This study aimed to evaluate lactic acidosis (LA) risk when using metformin combined with histamine H2 receptor inhibitors (H2RI) in patients with renal failure (RF). RESEARCH DESIGN AND METHODS: This study analyzed FDA Adverse Event Reporting System data (2012Q4 to 2022Q4) to characterize reports of LA associated with metformin alone or combined with H2RI. Using a disproportionality approach, LA risk signal in the overall population and in patients with RF was assessed. A physiologically based pharmacokinetic (PBPK) model was developed to predict metformin and cimetidine pharmacokinetic changes following conventional doses of the combinations in patients with various degrees of RF. To explore its correlation with LA risk, a peak plasma metformin concentration of 3 mg/L was considered the threshold. RESULTS: Following the 2016 U.S. Food and Drug Administration metformin approval for mild-to-moderate RF, the percentage of patients with RF reporting LA associated with metformin combined with H2RI increased. Disproportionality analysis showed reported LA risk signal associated with metformin and cimetidine in the overall population within the study timeframe only. Furthermore, with PBPK simulations, for metformin (1,000 mg b.i.d.) with cimetidine (300 mg q.i.d. or 400 mg b.i.d.) in stage 1 of chronic kidney disease, metformin (1,000 mg b.i.d.) with cimetidine (300 mg q.i.d. or 400 mg b.i.d. or 800 mg q.d.) in stage 2, and most combinations in stage 3, the peak plasma metformin concentrations exceeded the 3 mg/L threshold. CONCLUSIONS: Metformin combined with cimetidine at conventional doses may cause LA in patients with mild-to-moderate RF.

Postmarketing safety profile of brexanolone: a pharmacovigilance analysis based on FDA Adverse Event Reporting System (FAERS).

OBJECTIVE: Brexanolone (Zulresso®) that was approved for the USA in March 2019 is indicated for the treatment of postpartum depression (PPD), but information on adverse drug reactions (ADRs) associated with its use is limited. The main aim of this study was to explore the postmarketing safety profile of brexanolone. METHODS: In our case/non-case pharmacovigilance study based on the FDA Adverse Event Reporting System (FAERS), the reporting odds ratio and information component with 95% confidence intervals were estimated as measures of disproportionate reporting. Primary disproportionality analyses were performed by comparing brexanolone with all other drugs or selective serotonin reuptake inhibitors (SSRIs). Sensitivity analyses were performed on a subset of perinatal depression. RESULTS: We identified 267 cases using brexanolone. Brexanolone was reported as a primary or secondary suspect drug in most cases (n = 260, 97.38%). Of the total brexanolone cases, positive dechallenge and discontinuation accounted for 12.36% (n = 33) and 26.22% (n = 70), respectively. Serious outcomes were reported in 11.61% (n = 31) patients. Compared to all the other drugs or SSRIs within the same time window, the reporting risks of brexanolone were mainly from psychiatric and nervous systems. Sensitivity analyses indicated that these significant disproportionalities were mostly retained. CONCLUSION: Our pharmacovigilance analysis showed a high reporting frequency of psychiatric and nervous system ADRs associated with the use of brexanolone. In additional prospective research, these signals urgently need to be clarified.

Biomechanics of brain tissue damage caused by fiber endoscope penetration in third ventriculostomy surgery.

Third ventriculostomy is the preferred treatment for obstructive hydrocephalus, but the biomechanics of brain tissue damage caused by fiber endoscopes remains unclear. In this study, brain tissue material parameters were tested based on the Ogden model to simulate needle puncture mechanics, and replicated the entire fiber endoscope advancement process during third ventriculostomy. It was found that a smaller diameter fiber endoscope, a perpendicular puncture angle, and a faster puncture speed would decrease the damage of brain tissue caused by the fiber endoscope. This study provides valuable insights for optimizing the instrumentation and surgical process of third ventriculostomy.

Improved clinical outcomes in advanced hepatocellular carcinoma treated with transarterial chemoembolization plus atezolizumab and bevacizumab: a bicentric retrospective study.

PURPOSE: The aim of the present study was to assess the efficacy and safety of transarterial chemoembolization (TACE) combined with atezolizumab and bevacizumab (hereafter, TACE-Atez/Bev) in the treatment of advanced hepatocellular carcinoma (HCC) patients. MATERIALS AND METHODS: Clinical information was collected from consecutive patients with advanced HCC who received treatment with TACE-Atez/Bev or Atez/Bev from April 2021 and October 2022. Treatment response, overall survival (OS), and progression-free survival (PFS) were the primary outcomes of this study. Adverse events (AEs) were the secondary outcomes. Propensity score matching (PSM) analysis was applied to reduce bias between two groups. RESULTS: This study included 62 patients in the TACE-Atez/Bev group and 77 patients in the Atez/Bev group. The objective response rate (ORR) of the TACE-Atez/Bev group and the Atez/Bev group were 38.7% and 16.9% (P=0.004). However, there was no statistical difference in disease control rate between the two groups (69.4% vs 63.6%, P=0.479). Before PSM, the median OS was 14 months in the TACE-Atez/Bev group and 10 months in the Atez/Bev group (P=0.014). The median PFS in the TACE-Atez/Bev and Atez/Bev groups was 10 months and 6 months, respectively (P=0.001). After PSM, the median OS in the two groups was 14 months and 9 months, respectively (P=0.01). The median PFS was 7 months and 6 months, respectively (P=0.036). Multivariable analysis showed that treatment method was independent prognostic factors affecting OS. CONCLUSIONS: Compared with Atez/Bev treatment, TACE-Atez/Bev showed better OS, PFS, and ORR for Chinese patients with advanced HCC, with an acceptable safety profile.

Radioactive 125I Seed Inhibits Cell Migration and Invasion and Promotes Apoptosis by Inactivating the VEGFR2 Signaling Pathway in Cholangiocarcinoma.

Objectives: To investigate the potential mechanisms of 125I seed implantation therapeutic treatment on inactivating the VEGFR2/PI3K/AKT pathway in cholangiocarcinoma. Methods: The human cholangiocarcinoma cell lines HCCC-9810 and HuCCT1 were purchased for in vitro studies. The BALB/c nude mice were obtained for in vivo studies. The proliferation of cells was detected by CCK-8, colony formation, and BrdU staining. The migration and invasion of cells were determined by wound healing assay and Transwell assay, respectively. Hematoxylin and eosin staining was utilized for histological evaluation. Protein expression was determined by western blotting and immunohistochemistry. Results: Compared with the control group, .6 mCi group and .8 mCi group inhibited cholangiocarcinoma cells proliferation, invasion, migration, and promoted apoptosis, the protein expression of p-VEGFR2, VEGFR2, PI3K, p-AKT/AKT, cyclin B1, cyclin A, CDK1, and Bcl-2 was decreased. Similar results were obtained from in vitro experiments. However, when VEGF is overexpressed, the inhibitory effect of .8 mCi was partially significantly reversed on cholangiocarcinoma cells. The in vivo studies further confirmed the inhibitory effects of .6 mCi group and .8 mCi group on cholangiocarcinoma. Conclusion: 125I seed irradiation could inhibit cholangiocarcinoma cells proliferation, migration, and invasion and promote apoptosis through inactivation of the VEGFR2/PI3K/AKT signaling pathway.

Relationship between caffeine intake and thyroid function: results from NHANES 2007-2012.

BACKGROUND: Moderate caffeine intake decreases the risk of metabolic disorders and all-cause mortality, and the mechanism may be related to its ergogenic actions. Thyroid hormones are vital in metabolic homeostasis; however, their association with caffeine intake has rarely been explored. OBJECTIVE: To investigate the association between caffeine intake and thyroid function. METHODS: We collected data on demographic background, medical conditions, dietary intake, and thyroid function from the National Health and Nutrition Examination Survey (NHANES) 2007-2012. Subgroups were classified using two-step cluster analysis, with sex, age, body mass index (BMI), hyperglycemia, hypertension, and cardio-cerebral vascular disease (CVD) being used for clustering. Restrictive cubic spline analysis was employed to investigate potential nonlinear correlations, and multivariable linear regression was used to evaluate the association between caffeine consumption and thyroid function. RESULTS: A total of 2,582 participants were included, and three subgroups with different metabolic features were clustered. In the most metabolically unhealthy group, with the oldest age, highest BMI, and more cases of hypertension, hyperglycemia, and CVD, there was a nonlinear relationship between caffeine intake and serum thyroid stimulating hormone (TSH) level. After adjusting for age, sex, race, drinking, smoking, medical conditions, and micronutrient and macronutrient intake, caffeine intake of less than 9.97 mg/d was positively associated with serum TSH (p = 0.035, standardized ß = 0.155); however, moderate caffeine consumption (9.97-264.97 mg/d) indicated a negative association (p = 0.001, standardized ß = - 0.152). CONCLUSIONS: Caffeine consumption had a nonlinear relationship with serum TSH in people with metabolic disorders, and moderate caffeine intake (9.97 ~ 264.97 mg/d) was positively associated with serum TSH.

Data-Driven Assisted Decision Making for Surgical Procedure of Hepatocellular Carcinoma Resection and Prognostic Prediction: Development and Validation of Machine Learning Models.

Background: Currently, surgical decisions for hepatocellular carcinoma (HCC) resection are difficult and not sufficiently personalized. We aimed to develop and validate data driven prediction models to assist surgeons in selecting the optimal surgical procedure for patients. Methods: Retrospective data from 361 HCC patients who underwent radical resection in two institutions were included. End-to-end deep learning models were built to automatically segment lesions from the arterial phase (AP) of preoperative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). Clinical baseline characteristics and radiomic features were rigorously screened. The effectiveness of radiomic features and radiomic-clinical features was also compared. Three ensemble learning models were proposed to perform the surgical procedure decision and the overall survival (OS) and recurrence-free survival (RFS) predictions after taking different solutions, respectively. Results: SegFormer performed best in terms of automatic segmentation, achieving a Mean Intersection over Union (mIoU) of 0.8860. The five-fold cross-validation results showed that inputting radiomic-clinical features outperformed using only radiomic features. The proposed models all outperformed the other mainstream ensemble models. On the external test set, the area under the receiver operating characteristic curve (AUC) of the proposed decision model was 0.7731, and the performance of the prognostic prediction models was also relatively excellent. The application web server based on automatic lesion segmentation was deployed and is available online. Conclusions: In this study, we developed and externally validated the surgical decision-making procedures and prognostic prediction models for HCC for the first time, and the results demonstrated relatively accurate predictions and strong generalizations, which are expected to help clinicians optimize surgical procedures.

Integrated Analysis of N1-Methyladenosine Methylation Regulators-Related lncRNAs in Hepatocellular Carcinoma.

N1-methyladenosine (m1A) and long non-coding RNAs (lncRNAs) play significant roles in tumor progression in hepatocellular carcinoma (HCC). However, their association with HCC is still unclear. In this study, lncRNAs related to m1A were extracted from the mRNA expression matrix in The Cancer Genome Atlas (TCGA) database. Five m1A-related lncRNAs (AL031985.3, NRAV, WAC-AS1, AC026412.3, and AC099850.4) were identified based on lasso Cox regression and they generated a prognostic signature of HCC. The prognostic signature was identified as an independent prognosis factor in HCC patients. Moreover, the prognostic signature achieved better performance than TP53 mutation status or tumor mutational burden (TMB) scores in the stratification of patient survival. The immune landscape indicated that most immune checkpoint genes and immune cells were distributed differently between both risk groups. A higher IC50 of chemotherapeutics (sorafenib, nilotinib, sunitinib, and gefitinib) was observed in the high-risk group, and a lower IC50 of gemcitabine in the low-risk group, suggesting the potential of the prognostic signature in chemosensitivity. In addition, fifty-five potential small molecular drugs were found based on drug sensitivity and NRAV expression. Together, five m1A-related lncRNAs generated a prognostic signature that could be a promising prognostic prediction approach and therapeutic response assessment tool for HCC patients.

The efficacy and safety of biliary stenting alone versus stenting combined with iodine-125 seed strand implantation for the treatment of cholangiocarcinoma with malignant obstructive jaundice: a prospective, nonrandomized, controlled clinical study.

BACKGROUND: Many patients with cholangiocarcinoma also present with malignant obstructive jaundice (MOJ), which requires biliary drainage and stent placement. Recently, clinicians have tried to implant iodine-125 seeds into the biliary tract. However, we know very little about this treatment. This study aimed to compare biliary stenting alone and stenting combined with iodine-125 seed strand implantation to evaluate the safety and efficacy of this technique. METHODS: Sixty patients of cholangiocarcinoma with MOJ were enrolled into the study. According to voluntary choices, 30 received biliary stenting combined with iodine-125 seed strand implantation (study group), and 30 received biliary stent implantation alone (control group). Various biochemical indicators and the manifestation of computed tomography (CT) or magnetic resonance imaging (MRI) were compared before and after operation. We evaluated the safety and efficacy of these treatments by observing patients' symptoms, biochemical indicators and imaging data. Individualized antitumor therapy and regular follow-up were given according to the patients' condition. RESULTS: All 60 patients successfully completed operation. There were no statistically significant differences in baseline data between two groups (P>0.05). Before and 4 weeks after operation, the average total bilirubin levels decreased from 268.14±114.97 to 54.00±80.78 µmol/L in study group, and decreased from 228.89±162.04 to 58.80±61.14 µmol/L in control group. The difference between two groups was not statistically significant (P=0.796). Before and 4 weeks after operation, the average Child-Pugh scores decreased from 7.83±0.59 to 6.20±1.03 points in study group, and decreased from 7.93±1.08 to 7.07±1.39 points in control group, with a statistically significant difference between two groups (P=0.008). The median patency time of stents was 41.71±3.46 weeks in study group and 29.00±5.81 weeks in control group, with a statistically significant difference between the two groups (P=0.037). A statistically significant difference in disease control rate (DCR) was observed between the two groups (P=0.045). CONCLUSIONS: This study demonstrated biliary stenting combined with iodine-125 seed strand implantation may be consider as a safe treatment option for the patients of cholangiocarcinoma with MOJ, and this treatment may improve liver function, reduce the incidence of in-stent restenosis, and improve DCR.

Development and Application of Three Steps Training Mode for Endoscopic Transnasal Transsphenoidal Approach.

OBJECTIVE: The model of endoscopic transnasal transsphenoidal approach (METTA) were made and the application of the 3-steps training mode in the endoscopic transnasal transsphenoidal approach (ETTA) training was discussed. METHODS: The plastic skull model was used to make a simple METTA model; the multicolor and multi-material 3D printing technology was used to make a METTA simulation model and the perfusion cadaver head specimen was used as the gold standard training model. Then 3 neurosurgeons evaluated the 3 types of models. Level 1 training group only received perfusion cadaveric head specimen training; level 2 training group with 3D printing METTA model plus cadaver head specimen training, and level 3 training group with simple model, 3D printing model and cadaver head specimen training group. The authenticity of the model and the training effect were evaluated according to the operation time and the damage degree to the surrounding structures. RESULTS: The results showed that perfusion cadaveric head specimens scored the highest in each item. The simplified model was superior to the 3D printing METTA in simulating the shape and elasticity of pituitary tumor tissue. The score of surgical skill training was the same as that of 3D printing METTA. In terms of the training effect, the doctors who had received 3 steps training had the highest score, which was better than the other 2 groups. CONCLUSIONS: The application of 3 steps training mode with simple training model, 3D printing model and perfusion cadaver head specimen can improve the effect of ETTA operation training.

Safety and Feasibility of Microwave Ablation for Hepatocellular Carcinomas in the Elderly: A Systematic Review.

Background: Microwave ablation (MWA) for hepatocellular carcinomas (HCCs) in the elderly has been the subject of new research in recent years. However, there are currently no strong lines of evidence for the prognosis following MWA treatment for HCC in the elderly. Therefore, we conducted a systematic review to assess the safety and feasibility of MWA for HCC in elderly patients. Methods: Up until August 15, 2021, a comprehensive literature search was undertaken in PubMed, Scopus, CENTRAL (Cochrane Central Register of Controlled Trials), and Google Scholar databases for all published articles. Observational studies reporting the safety and feasibility of MWA for HCC in elderly patients were included. The Newcastle-Ottawa Scale (NOS) was used to measure the quality assessment. Results: Our review, composed of 7 observational studies, including a total of 7,683 HCC patients, looked at the safety and feasibility of MWA for HCC in the elderly. Current lines of evidence on the risks and outcomes of MWA of HCC treatments in elderly patients are discussed. Conclusions: According to our findings, elderly patients, even those with a high comorbidity index, benefited from MWA of HCC similar to younger patients. More clinical data are needed to determine selection criteria for elderly HCC patients to increase the possibility of receiving MWA as a potential lifesaving option. As such, further studies evaluating the outcomes of MWA for HCC treatment modalities in elderly patients are warranted. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42021273091.

An N6-methyladenosine-associated lncRNA signature for predicting clinical outcome and therapeutic responses in hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is the leading cause of tumor-related mortality worldwide. N6-methyladenosine (m6A) and long noncoding RNAs (lncRNAs) have been reported to play significant roles in prognosis assessment and decision-making strategies for HCC. This study aimed to investigate the significance of prognosis and treatment response assessment of m6A-related lncRNAs in HCC. Methods: We used Pearson's correlation coefficient (r) to identify m6A-associated lncRNAs. We then performed univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses on the screened m6A-related lncRNAs to build a prognostic risk model for patients with HCC. The prognostic values and predictive performance of the model were then analyzed through Kaplan-Meier curve, receiver operating characteristic (ROC) curve, and nomogram. In addition, the potential value of this model for assessing sorafenib or immunotherapeutic responses was investigated based on the R package "pRRophetic" and immunophenoscore (IPS), respectively. Results: Fourteen m6A-related lncRNAs were identified to construct the predictive model (P<0.05). Patients with high risk showed poorer survival than those with low risk. The risk score may serve as an independent predictor for the prognosis of patients with HCC even in the subgroup analysis. Moreover, our predictive model outperformed TP53 mutation status or tumor mutation burden (TMB) scores in the stratification of patient survival. Notably, high- and low-risk patients were shown to have different estimated responses for sorafenib and immunotherapies. Conclusions: This study identified that a novel 14-m6A-related lncRNA signature could be a promising predictor for patient survival, and it might provide a vista for treatment response assessment of chemotherapy and immunotherapy.

Acute Kidney Injury and Drugs Prescribed for COVID-19 in Diabetes Patients: A Real-World Disproportionality Analysis.

Background: The information is relatively scarce regarding the occurrence of drug-induced acute kidney injury (AKI) when anti-coronavirus disease 2019 (COVID-19) drugs are prescribed for patients with diabetes mellitus (DM). Objective: The objective of this study was to evaluate a pharmacovigilance signal for AKI upon the use of common drugs prescribed for COVID-19 treatment, especially in patients with DM. Methods: The FDA Adverse Event Reporting System (FAERS) database were used, and data from the first quarter of 2020 to the third quarter of 2021 were retrieved. A disproportionality analysis was performed to determine whether AKI was more frequently reported with anti-COVID-19 drugs compared to that with other drugs in different populations. Further, reporting odds ratios (RORs) and their 95% confidence intervals (CIs) were used to calculate disproportionality. Results: We identified 33,488 COVID-19 patients and 2397 COVID-19 patients with DM. AKI was the most frequent adverse drug reaction (ADR) reported in this patient population. The primary suspected drugs related to AKI in more than half of the reports (75.60%, 127/168) were four common anti-COVID-19 drugs (remdesivir, tocilizumab, hydroxychloroquine, and lopinavir/ritonavir). Compared with other drugs in the same time window, remdesivir and lopinavir/ritonavir were associated with an increased risk of AKI in all COVID-19 patients (ROR: 3.97, 95% CI: 3.51-4.50; ROR: 4.02, 95% CI: 3.11-5.19, respectively). In COVID-19 patients with DM, remdesivir was significantly associated with AKI (ROR: 5.65, 95% CI: 4.06-7.87); meanwhile, there was a new AKI signal associated with tocilizumab (ROR: 2.37, 95% CI: 1.19-4.72). After sensitivity analyses in COVID-19 patients with DM, consistent results for remdesivir were observed; however, the AKI signals for tocilizumab were unstable. Conclusion: Our study confirmed the association of AKI with the usage of common anti-COVID-19 drugs (especially remdesivir and tocilizumab) in DM patients. These safety signals suggested more individualized treatments for COVID-19 patients with comorbidities. Cross-disciplinary collaborative is needed to improve current strategy of clinical treatment and develop new approaches to management.

A Multiparametric Fusion Deep Learning Model Based on DCE-MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma.

BACKGROUND: Assessment of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) by using a noninvasive method is an unresolved issue. Deep learning (DL) methods based on multiparametric fusion of MR images have the potential of preoperative assessment of MVI. PURPOSE: To investigate whether a multiparametric fusion DL model based on MR images can be used for preoperative assessment of MVI in ICC. STUDY TYPE: Retrospective. POPULATION: A total of 519 patients (200 females and 319 males) with a single ICC were categorized as a training (n = 361), validation (n = 90), and an external test cohort (n = 68). FIELD STRENGTH/SEQUENCE: A 1.5 T and 3.0 T; axial T2-weighted turbo spin-echo sequence, diffusion-weighted imaging with a single-shot spin-echo planar sequence, and dynamic contrast-enhanced (DCE) imaging with T1-weighted three-dimensional quick spoiled gradient echo sequence. ASSESSMENT: DL models of multiparametric fusion convolutional neural network (CNN) and late fusion CNN were both constructed for evaluating MVI in ICC. Gradient-weighted class activation mapping was used for visual interpretation of MVI status in ICC. STATISTICAL TESTS: The DL model performance was assessed through the receiver operating characteristic curve (ROC) analysis, and the area under the ROC curve (AUC) with the accuracy, sensitivity, and specificity were measured. P value < 0.05 was considered as statistical significance. RESULTS: In the external test cohort, the proposed multiparametric fusion DL model achieved an AUC of 0.888 with an accuracy of 86.8%, sensitivity of 85.7%, and specificity of 87.0% for evaluating MVI in ICC, and the positive predictive value and negative predictive value were 63.2% and 95.9%, respectively. The late fusion DL model achieved a lower AUC of 0.866, with an accuracy of 83.8%, sensitivity of 78.6%, specificity of 85.2% for evaluating MVI in ICC. DATA CONCLUSION: Our DL model based on multiparametric fusion of MRI achieved a good diagnostic performance in the evaluation of MVI in ICC. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.

A CT-Based Radiomics Nomogram to Predict Complete Ablation of Pulmonary Malignancy: A Multicenter Study.

OBJECTIVE: Thermal ablation is a minimally invasive procedure for the treatment of pulmonary malignancy, but the intraoperative measure of complete ablation of the tumor is mainly based on the subjective judgment of clinicians without quantitative criteria. This study aimed to develop and validate an intraoperative computed tomography (CT)-based radiomic nomogram to predict complete ablation of pulmonary malignancy. METHODS: This study enrolled 104 individual lesions from 92 patients with primary or metastatic pulmonary malignancies, which were randomly divided into training cohort (n=74) and verification cohort (n=30). Radiomics features were extracted from the original CT images when the study clinicians determined the completion of the ablation surgery. Minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) were adopted for the dimensionality reduction of high-dimensional data and feature selection. The prediction model was developed based on the radiomics signature combined with the independent clinical predictors by multiple logistic regression analysis. The area under the curve (AUC), accuracy, sensitivity, and specificity were calculated. Receiver operating characteristic (ROC) curves and calibration curves were used to evaluate the predictive performance of the model. Decision curve analysis (DCA) was applied to estimate the clinical usefulness and net benefit of the nomogram for decision making. RESULTS: Thirteen CT features were selected to construct radiomics prediction model, which exhibits good predictive performance for determination of complete ablation of pulmonary malignancy. The AUCs of a CT-based radiomics nomogram that integrated the radiomics signature and the clinical predictors were 0.88 (95% CI 0.80-0.96) in the training cohort and 0.87 (95% CI: 0.71-1.00) in the validation cohort, respectively. The radiomics nomogram was well calibrated in both the training and validation cohorts, and it was highly consistent with complete tumor ablation. DCA indicated that the nomogram was clinically useful. CONCLUSION: A CT-based radiomics nomogram has good predictive value for determination of complete ablation of pulmonary malignancy intraoperatively, which can assist in decision-making.

Treatment efficacy and safety of regorafenib plus drug-eluting beads-transarterial chemoembolization versus regorafenib monotherapy in colorectal cancer liver metastasis patients who fail standard treatment regimens.

OBJECTIVE: This study aimed to evaluate the efficacy and safety of regorafenib plus drug-eluting beads-transarterial chemoembolization (DEB-TACE) versus regorafenib monotherapy in colorectal cancer liver metastases (CRLM) patients who failed standard treatment regimens. METHODS: Totally, 76 eligible CRLM patients were analyzed, among which 42 patients received regorafenib monotherapy (as regorafenib group) and 34 patients received regorafenib plus DEB-TACE (as regorafenib plus DEB-TACE group). RESULTS: Objective response rate (35.3% versus 7.1%, P = 0.002) and disease control rate (76.5% versus 47.6%, P = 0.011) were both increased in regorafenib plus DEB-TACE group compared with regorafenib group; meanwhile, negative conversion rate of carcinoembryonic antigen (66.7% versus 28.6%, P = 0.008) after treatment was elevated in regorafenib plus DEB-TACE group compared with regorafenib group. Notably, progression-free survival (PFS) (median value: 7.6 versus 4.1 months, P < 0.001) and overall survival (OS) (median value: 15.7 versus 9.2 months, P < 0.001) were both higher in regorafenib plus DEB-TACE group compared with regorafenib group. Furthermore, liver function indexes (alanine transaminase, aspartate aminotransferase, and cholinesterase levels) after treatment were all similar between the two groups (all P > 0.05). In addition, the occurrences of upper abdominal distending pain (P < 0.001), nausea and vomiting (P = 0.002) and fever (P = 0.002) were higher in regorafenib plus DEB-TACE group compared with regorafenib group, while the majority of these adverse events were mild and tolerable. CONCLUSIONS: Regorafenib plus DEB-TACE is superior to regorafenib monotherapy regarding treatment response, PFS and OS, while induces tolerable post-embolization syndrome in CRLM patients who fail standard treatment regimens.