Prognostic significance of postoperative serological incomplete conversion of AFP and PIVKA-II after hepatic resection for hepatocellular carcinoma: a multicenter analysis of 1755 patients.

BACKGROUND: The value of serum biomarkers, particularly alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II), gains increasing attention in prognostic evaluation and recurrence monitoring for patients with hepatocellular carcinoma (HCC). This study investigated the implications of serological incomplete conversion (SIC) of these 2 biomarkers as prognostic indicators for long-term outcomes after HCC resection. METHODS: A multicenter observational study was conducted on a cohort of HCC patients presenting with AFP (>20 ng/mL) or PIVKA-II (>40 mAU/mL) positivity who underwent curative-intent resection. Based on their postoperative AFP and PIVKA-II levels at first postoperative follow-up (4~8 weeks after surgery), these patients were stratified into the serological incomplete conversion (SIC) and serological complete conversion (SCC) groups. The study endpoints were recurrence and overall survival (OS). RESULTS: Among 1755 patients, 379 and 1376 were categorized as having SIC and SCC, respectively. The SIC group exhibited 1- and 5-year OS rates of 67.5% and 26.3%, with the corresponding recurrence rates of 53.2% and 79.0%, respectively; while the SCC group displayed 1- and 5-year OS rates of 95.8% and 62.5%, with the corresponding recurrence rates of 16.8% and 48.8%, respectively (both P < .001). Multivariate Cox regression analysis demonstrated that postoperative SIC was an independent risk factor for both increased recurrence (HR: 2.40, 95% CI, 2.04-2.81, P < .001) and decreased OS (HR: 2.69, 95% CI, 2.24-3.24, P < .001). CONCLUSION: The results emphasize that postoperative incomplete conversion of either AFP or PIVKA-II is a significant prognostic marker, indicating a higher risk for adverse oncologic outcomes following HCC resection. This revelation has crucial implications for refining postoperative adjuvant therapy and surveillance strategies for HCC patients.

Analysis of Breast Cancer Mortality in the US-1975 to 2019.

Importance: Breast cancer mortality in the US declined between 1975 and 2019. The association of changes in metastatic breast cancer treatment with improved breast cancer mortality is unclear. Objective: To simulate the relative associations of breast cancer screening, treatment of stage I to III breast cancer, and treatment of metastatic breast cancer with improved breast cancer mortality. Design, Setting, and Participants: Using aggregated observational and clinical trial data on the dissemination and effects of screening and treatment, 4 Cancer Intervention and Surveillance Modeling Network (CISNET) models simulated US breast cancer mortality rates. Death due to breast cancer, overall and by estrogen receptor and ERBB2 (formerly HER2) status, among women aged 30 to 79 years in the US from 1975 to 2019 was simulated. Exposures: Screening mammography, treatment of stage I to III breast cancer, and treatment of metastatic breast cancer. Main Outcomes and Measures: Model-estimated age-adjusted breast cancer mortality rate associated with screening, stage I to III treatment, and metastatic treatment relative to the absence of these exposures was assessed, as was model-estimated median survival after breast cancer metastatic recurrence. Results: The breast cancer mortality rate in the US (age adjusted) was 48/100 000 women in 1975 and 27/100 000 women in 2019. In 2019, the combination of screening, stage I to III treatment, and metastatic treatment was associated with a 58% reduction (model range, 55%-61%) in breast cancer mortality. Of this reduction, 29% (model range, 19%-33%) was associated with treatment of metastatic breast cancer, 47% (model range, 35%-60%) with treatment of stage I to III breast cancer, and 25% (model range, 21%-33%) with mammography screening. Based on simulations, the greatest change in survival after metastatic recurrence occurred between 2000 and 2019, from 1.9 years (model range, 1.0-2.7 years) to 3.2 years (model range, 2.0-4.9 years). Median survival for estrogen receptor (ER)-positive/ERBB2-positive breast cancer improved by 2.5 years (model range, 2.0-3.4 years), whereas median survival for ER-/ERBB2- breast cancer improved by 0.5 years (model range, 0.3-0.8 years). Conclusions and Relevance: According to 4 simulation models, breast cancer screening and treatment in 2019 were associated with a 58% reduction in US breast cancer mortality compared with interventions in 1975. Simulations suggested that treatment for stage I to III breast cancer was associated with approximately 47% of the mortality reduction, whereas treatment for metastatic breast cancer was associated with 29% of the reduction and screening with 25% of the reduction.

Collaborative Modeling to Compare Different Breast Cancer Screening Strategies: A Decision Analysis for the US Preventive Services Task Force.

Importance: The effects of breast cancer incidence changes and advances in screening and treatment on outcomes of different screening strategies are not well known. Objective: To estimate outcomes of various mammography screening strategies. Design, Setting, and Population: Comparison of outcomes using 6 Cancer Intervention and Surveillance Modeling Network (CISNET) models and national data on breast cancer incidence, mammography performance, treatment effects, and other-cause mortality in US women without previous cancer diagnoses. Exposures: Thirty-six screening strategies with varying start ages (40, 45, 50 years) and stop ages (74, 79 years) with digital mammography or digital breast tomosynthesis (DBT) annually, biennially, or a combination of intervals. Strategies were evaluated for all women and for Black women, assuming 100% screening adherence and "real-world" treatment. Main Outcomes and Measures: Estimated lifetime benefits (breast cancer deaths averted, percent reduction in breast cancer mortality, life-years gained), harms (false-positive recalls, benign biopsies, overdiagnosis), and number of mammograms per 1000 women. Results: Biennial screening with DBT starting at age 40, 45, or 50 years until age 74 years averted a median of 8.2, 7.5, or 6.7 breast cancer deaths per 1000 women screened, respectively, vs no screening. Biennial DBT screening at age 40 to 74 years (vs no screening) was associated with a 30.0% breast cancer mortality reduction, 1376 false-positive recalls, and 14 overdiagnosed cases per 1000 women screened. Digital mammography screening benefits were similar to those for DBT but had more false-positive recalls. Annual screening increased benefits but resulted in more false-positive recalls and overdiagnosed cases. Benefit-to-harm ratios of continuing screening until age 79 years were similar or superior to stopping at age 74. In all strategies, women with higher-than-average breast cancer risk, higher breast density, and lower comorbidity level experienced greater screening benefits than other groups. Annual screening of Black women from age 40 to 49 years with biennial screening thereafter reduced breast cancer mortality disparities while maintaining similar benefit-to-harm trade-offs as for all women. Conclusions: This modeling analysis suggests that biennial mammography screening starting at age 40 years reduces breast cancer mortality and increases life-years gained per mammogram. More intensive screening for women with greater risk of breast cancer diagnosis or death can maintain similar benefit-to-harm trade-offs and reduce mortality disparities.

Development and validation of robust metabolism-related gene signature in the prognostic prediction of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common malignant tumours worldwide. Given metabolic reprogramming in tumours was a crucial hallmark, several studies have demonstrated its value in the diagnostics and surveillance of malignant tumours. The present study aimed to identify a cluster of metabolism-related genes to construct a prediction model for the prognosis of HCC. Multiple cohorts of HCC cases (466 cases) from public datasets were included in the present analysis. (GEO cohort) After identifying a list of metabolism-related genes associated with prognosis, a risk score based on metabolism-related genes was formulated via the LASSO-Cox and LASSO-pcvl algorithms. According to the risk score, patients were stratified into low- and high-risk groups, and further analysis and validation were accordingly conducted. The results revealed that high-risk patients had a significantly worse 5-year overall survival (OS) than low-risk patients in the GEO cohort. (30.0% vs. 57.8%; hazard ratio [HR], 0.411; 95% confidence interval [95% CI], 0.302-0.651; p < 0.001) This observation was confirmed in the external TCGA-LIHC cohort. (34.5% vs. 54.4%; HR 0.452; 95% CI, 0.299-0.681; p < 0.001) To promote the predictive ability of the model, risk score, age, gender and tumour stage were integrated into a nomogram. According to the results of receiver operating characteristic curves and decision curves analysis, the nomogram score possessed a superior predictive ability than conventional factors, which indicate that the risk score combined with clinicopathological features was able to achieve a robust prediction for OS and improve the individualized clinical decision making of HCC patients. In conclusion, the metabolic genes related to OS were identified and developed a metabolism-based predictive model for HCC. Through a series of bioinformatics and statistical analyses, the predictive ability of the model was approved.

Association of Concurrent Metabolic Syndrome with Long-term Oncological Prognosis Following Liver Resection for Hepatocellular Carcinoma Among Patients with Chronic Hepatitis B Virus Infection: A Multicenter Study of 1753 Patients.

BACKGROUND: Although hepatitis B virus (HBV) infection remains the main cause of hepatocellular carcinoma (HCC) worldwide, metabolic syndrome, with its increase in prevalence, has become an important and significant risk factor for HCC. This study was designed to investigate the association of concurrent metabolic syndrome with long-term prognosis following liver resection for patients with HBV-related HCC. METHODS: From a Chinese, multicenter database, HBV-infected patients who underwent curative resection for HCC between 2010 and 2020 were identified. Long-term oncological prognosis, including overall survival (OS), recurrence-free survival (RFS), and early (≤2 years of surgery) and late (>2 years) recurrences were compared between patients with versus those without concurrent metabolic syndrome. RESULTS: Of 1753 patients, 163 (9.3%) patients had concurrent metabolic syndrome. Compared with patients without metabolic syndrome, patients with metabolic syndrome had poorer 5-year OS (47.5% vs. 61.0%; P = 0.010) and RFS (28.3% vs. 44.2%; P = 0.003) rates and a higher 5-year overall recurrence rate (67.3% vs. 53.3%; P = 0.024). Multivariate analysis revealed that concurrent metabolic syndrome was independently associated with poorer OS (hazard ratio: 1.300; 95% confidence interval: 1.018-1.660; P = 0.036) and RFS (1.314; 1.062-1.627; P = 0.012) rates, and increased rates of late recurrence (hazard ratio: 1.470; 95% confidence interval: 1.004-2.151; P = 0.047). CONCLUSIONS: In HBV-infected patients with HCC, concurrent metabolic syndrome was associated with poorer postoperative long-term oncologic survival outcomes. These results suggested that patients with metabolic syndrome should undergo enhanced surveillance for tumor recurrence even after 2 years of surgery to early detect late HCC recurrence. Whether improving metabolic syndrome can reduce postoperative recurrence of HCC deserves further exploration.

Do not ignore the effects of phosphorus and potassium addition on microbial carbon use efficiency.

P or PK addition significantly affected microbial CUE. No significant linear correlation between respiration rates and microbial CUE under N addition when NP and NPK addition were excluded.

Comparison between models for detecting hepatocellular carcinoma in patients with chronic liver diseases of various etiologies: ASAP score versus GALAD score.

BACKGROUND: Diagnostic panels based on multiple biomarkers and clinical characteristics are considered more favorable than individual biomarker to diagnose hepatocellular carcinoma (HCC). Based on age, sex, alpha-fetoprotein (AFP), and protein induced by vitamin K absence II (PIVKA-II) with/without AFP-L3, ASAP and GALAD models are potential diagnostic panels. The diagnostic performances of these two panels were compared relative to HCC detection among patients with various etiologies of chronic liver diseases (CLDs). METHODS: A multicenter case-control study recruited CLDs patients with and without HCC from 14 Chinese hospitals. The etiologies of CLDs included hepatitis B virus (HBV), hepatitis C virus (HCV), alcoholic liver disease (ALD), and nonalcoholic fatty liver disease (NAFLD). Using area under the receiver operating characteristic curve (AUC) values, the diagnostic performances of ASAP and GALAD models were compared to detect HCC among patients with various etiologies of CLDs. RESULTS: Among 248 HCC patients and 722 CLD controls, the ASAP model demonstrated the highest AUC (0.886) to detect HCC at any stage, outperforming the GALAD model (0.853, P = 0.001), as well as any individual biomarker (0.687-0.799, all P < 0.001). In the subgroup analysis of various CLDs etiologies, the ASAP model outperformed the GALAD model to HCC independent of CLDs etiology. In addition, the ASAP model performed better in detecting early-stage (BCLC stage 0/A) HCC versus the GALAD model. CONCLUSIONS: Despite using one less laboratory variable (AFP-L3), the ASAP model demonstrated better diagnostic performance than the GALAD model to detect all-stage HCC among patients with various etiologies of CLDs-related HCC.

Prospective validation of the Eastern Staging in predicting survival after surgical resection for patients with hepatocellular carcinoma: a multicenter study from China.

BACKGROUND: The Eastern Staging System, which was specially developed for patients undergoing surgical resection for hepatocellular carcinoma (HCC), has been proposed for more than ten years. To prospectively validate the predictive accuracy of the Eastern staging on long-term survival after HCC resection. METHODS: Patients who underwent hepatectomy for HCC from 2011 to 2020 at 10 Chinese hospitals were identified from a prospectively collected database. The survival predictive accuracy was evaluated and compared between the Eastern Staging with six other staging systems, including the JIS, BCLC, Okuda, CLIP, 8th AJCC TNM, and HKLC staging. RESULTS: Among 2365 patients, the 1-, 3-, and 5-year overall survival rates were 84.2%, 64.5%, and 52.6%, respectively. Among these seven staging systems, the Eastern staging was associated with the best monotonicity of gradients (linear trend χ2: 408.5) and homogeneity (likelihood ratio χ2: 447.3), and the highest discriminatory ability (the areas under curves for 1-, 3-, and 5-year mortality: 0.776, 0.787, and 0.768, respectively). In addition, the Eastern staging was the most informative staging system in predicting survival (Akaike information criterion: 2982.33). CONCLUSION: Using a large multicenter prospectively collected database, the Eastern Staging was found to show the best predictive accuracy on long-term overall survival in patients with resectable HCC than the other 6 commonly-used staging systems.

Alpha-fetoprotein, protein induced by vitamin K absence or antagonist-II, lens culinaris agglutinin-reactive fraction of alpha-fetoprotein alone and in combination for early detection of hepatocellular carcinoma from nonalcoholic fatty liver disease: A multicenter analysis.

BACKGROUND: Current surveillance strategies for hepatocellular carcinoma (HCC) among patients with nonalcoholic fatty liver disease (NAFLD) are insufficient. This study aimed to investigate the diagnostic performance of alpha-fetoprotein (AFP), protein induced by vitamin K absence or antagonist-II (PIVKA-II), lens culinaris agglutinin-reactive fraction of AFP (AFP-L3), and their combinations in HCC underlying NAFLD patients. METHODS: Serologic AFP, AFP-L3, and PIVKA-II levels in NAFLD patients with and without HCC were measured. By receiver operating characteristic (ROC) analyses, the area under the curve (AUC), sensitivity, and specificity were obtained to evaluate the diagnostic accuracy of each biomarker and their combinations. RESULTS: This study was conducted on 139 patients with NAFLD-HCC and 345 NAFLD controls. The elevation of these three biomarkers was observed in patients with NAFLD-HCC compared to those in NAFLD controls (all P < 0.001). When they were analyzed individually, PIVKA-II showed the best performance in diagnosing any-stage HCC with an AUC of 0.869, followed by AFP (0.763; vs. PIVKA-II, P < 0.001) and AFP-L3 (0.689; vs. PIVKA-II, P < 0.001). When they were analyzed in combination, AFP + PIVKA-II yielded the highest AUC (0.906), followed by AFP + PIVKA-II + AFP-L3 (0.904; vs. AFP + PIVKA-II, P = 0.086), PIVKA-II + AFP-L3 (0.881; vs. AFP + PIVKA-II, P < 0.001), and AFP + AFP-L3 (0.759; vs. AFP + PIVKA-II, P < 0.001). Similar findings were obtained in the subgroup with early-stage NAFLD-HCC, as well as the non-cirrhotic subgroup. CONCLUSIONS: These data validated the better diagnostic ability of PIVKA-II than AFP or AFP-L3 alone for diagnosing any-stage HCC among patients with NAFLD, and the combination of AFP + PIVKA-II significantly improved the diagnostic accuracy of NAFLD-HCC.

Early and Late Recurrence of Hepatitis B Virus-Associated Hepatocellular Carcinoma.

BACKGROUND: Survival after liver resection of hepatocellular carcinoma (HCC) remains poor because of a high incidence of recurrence. We sought to investigate risk factors, patterns, and long-term prognosis among patients with early and late recurrence after liver resection for hepatitis B virus (HBV)-associated HCC. METHODS: Data of consecutive patients undergoing curative resection for HBV-associated HCC were analyzed. According to the time to recurrence after surgery, recurrence was divided into early (≤2 years) and late recurrence (>2 years). Characteristics, patterns of initial recurrence, and postrecurrence survival (PRS) were compared between patients with early and late recurrence. Risk factors of early and late recurrence and predictors of PRS were identified by univariable and multivariable Cox regression analyses. RESULTS: Among 894 patients, 322 (36.0%) and 282 (31.5%) developed early and late recurrence, respectively. On multivariable analyses, preoperative HBV-DNA >104 copies/mL was associated with both early and late recurrence, whereas postoperative no/irregular antiviral therapy was associated with late recurrence. Compared with patients with late recurrence, patients with early recurrence had a lower proportion of intrahepatic-only recurrence (72.0% vs. 91.1%, p < .001), as well as a lower chance of receiving potentially curative treatments for recurrence (33.9% vs. 50.7%, p < .001) and a worse median PRS (19.1 vs. 37.5 months, p < .001). Multivariable analysis demonstrated that early recurrence was independently associated with worse PRS (hazard ratio, 1.361; 95% confidence interval, 1.094-1.692; p = .006). CONCLUSION: Although risk factors associated with early recurrence and late recurrence were different, a high preoperative HBV-DNA load was an independent hepatitis-related risk for both early and late recurrence. Early recurrence was associated with worse postrecurrence survival among patients with recurrence. IMPLICATIONS FOR PRACTICE: Liver resection is the main curative treatment for hepatocellular carcinoma (HCC), but postoperative survival remains poor because of high recurrence rates. This study investigated the risk factors and patterns of early and late recurrence and found that a high preoperative hepatitis B virus (HBV) DNA load was an independent hepatitis-related risk factor for both. Early recurrence was also independently associated with worse postrecurrence survival. These data may provide insights into different biological origin and behavior of early versus late recurrence after resection for HBV-associated HCC, which could be helpful to make individualized treatment decision for recurrent HCC, as well as strategies for surveillance recurrence after resection.

Trehalose targets Nrf2 signal to alleviate d-galactose induced aging and improve behavioral ability.

As an important factor leading to aging and chronic diseases, oxidative stress has become a hot research topic. Trehalose is a natural sugar widely found in many edible plants, animals and natural microorganisms, and recent studies have suggested that trehalose is an antioxidant, although its underlying molecular mechanism is unclear. Therefore, we evaluated the protective mechanism of trehalose against oxidative stress-induced senescence. In the mouse model of d-galactose (D-gal) induced aging, we found that trehalose significantly reversed the learning and memory impairment caused by D-gal and improved the ability to explore unknown things, which was associated with a significant reduction in brain tissue damage. Further studies have shown that trehalose activates the expressions of downstream target genes HO-1, NQO1, SOD, GSH and CAT by promoting the nuclear translocation of Nrf2 in the liver. The detoxification ability of organs is increased, antioxidant enzyme activity is enhanced, lipid peroxidation is reduced, and the secretion of inflammatory factors TNF-α, IL-1ß, il-6 is decreased. In conclusion, trehalose play an anti-aging role by activating genes related to Nrf2 pathway.

A novel role of Krüppel-like factor 8 as an apoptosis repressor in hepatocellular carcinoma.

BACKGROUND: Krüppel-like factor 8 (KLF8), a cancer-promoting factor that regulates critical gene transcription and cellular cancer-related events, has been implicated in tumor development and progression. However, the functional role of KLF8 in the pathogenesis of hepatocellular carcinoma (HCC) remains largely unknown. METHODS: The gene expression patterns and genome-wide regulatory profiles of HCC cells after KLF8 knockout were analyzed by using RNA sequencing (RNA-seq) and chromatin immunoprecipitation sequencing (ChIP-seq) of histone H3 lysine 27 acetylation (H3K27ac) combined with bioinformatics analysis. Transcription factor-binding motifs that recognized by KLF8 were evaluated by motif analysis. For the predicted target genes, transcriptional changes were examined by ChIP, and loss of function experiments were conducted by siRNA transfection. RESULTS: KLF8 functioned as a transcription repressor in HCC and mainly regulated apoptotic-related genes directly. A total of 1,816 differentially expressed genes after KLF8 knockout were identified and significantly corresponded to global changes in H3K27ac status. Furthermore, two predicted target genes, high-mobility group AT-hook 2 (HMGA2) and matrix metalloproteinase 7 (MMP7), were identified as important participants in KLF8-mediated anti-apoptotic effect in HCC. Knockout of KLF8 enhanced cell apoptosis process and caused increase in the associated H3K27ac, whereas suppression HMGA2 or MMP7 attenuated these biological effects. CONCLUSIONS: Our work suggests a novel role and mechanism for KLF8 in the regulation of cell apoptosis in HCC and facilitates the discovery of potential therapeutic targets for HCC treatment.

The underlying roles and neurobiological mechanisms of music-based intervention in Alzheimer's disease: A comprehensive review.

Non-pharmacological therapy has gained popularity in the intervention of Alzheimer's disease (AD) due to its apparent therapeutic effectiveness and the limitation of biological drug. A wealth of research indicates that music interventions can enhance cognition, mood and behavior in individuals with AD. Nonetheless, the underlying mechanisms behind these improvements have yet to be fully and systematically delineated. This review aims to holistically review how music-based intervention (MBI) ameliorates abnormal emotion, cognition decline, and behavioral changes in AD patients. We cover several key dimensions: the regulation of MBIs on cerebral blood flow (CBF), their impact on neurotransmission (including GABAergic and monoaminergic transmissions), modulation of synaptic plasticity, and hormonal release. Additionally, we summarize the clinical applications and limitations of active music-based intervention (AMBI), passive music-based intervention (PMBI), and hybrid music-based intervention (HMBI). This thorough analysis enhances our understanding of the role of MBI in AD and supports the development of non-pharmacological therapeutic strategies.

The protective effect of Ergolide in osteoarthritis: In vitro and in vivo studies.

Osteoarthritis (OA), a prevalent degenerative condition, occurs due to the deterioration of joint tissues and cells. Consequently, safeguarding chondrocytes against damage caused by inflammation is an area of future research emphasis. There is growing evidence that Ergolide (ERG) has multiple biological functions. Nevertheless, it is still uncertain whether it can hinder the advancement of OA. In this study, we investigate the ERG's potential to reduce inflammation and protect cartilage. ERG treatment in vitro effectively inhibited the excessive production of pro-inflammatory substances, such as inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX2), and tumor necrosis factor-α (TNF-α), leading to their complete suppression. Furthermore, ERG suppressed the production of matrix-degrading enzymes (ADAMTS-5) and matrix metalloproteinase 13 (MMP13), consequently impeding the breakdown of extracellular matrix (ECM) and restraining the synthesis of collagenase II and Aggrecan. Through the P38/MAPK pathway, we discovered that ERG hinders the activation of NF-κB in chondrocytes induced by IL-1ß. The protective effect of ERG was enhanced by the p38 MAPK inhibitor SB203580. In vivo, ERG further demonstrated protective effects on cartilage in animal models of DMM. In conclusion, the study has discovered that ERG exhibits innovative therapeutic potential in the context of OA.

Enhanced microwave absorption performance of Fe3Al flakes by optimizing the carbon nanotube coatings.

Fe3Al is a good magnetic loss absorber for microwave absorption. However, due to the relatively high density and poor impedance matching ratio, the potential of Fe3Al cannot be fully released. Herein, a dielectric loss absorber of carbon nanotubes (CNTs) is coupled with Fe3Al to form Fe3Al/CNTs composite absorbers. CNTs are randomly tangled and coated on the surface of the Fe3Al flakes, forming a connecting conductive network. By carefully tuning the content of CNTs, the optimized Fe3Al/CNTs composite absorber with 1.5% of CNTs can combine both magnetic loss and dielectric loss mechanisms, thus achieving an impedance matching ratio close to 1 while keeping strong attenuation for enhanced microwave absorption. As a result, an effective absorption bandwidth (RL ≤ -10 dB) of 4.73 GHz at a thickness of 2 mm is achieved.