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Background Hepatocellular carcinoma (HCC) is the fifth most common malignant tumor and the third leading cause of cancer-related death worldwide. Despite the significance of multifocality in HCC (M-HCC), most studies have predominantly treated it as a prognostic factor, lacking in-depth investigation into its prognostic implications. This retrospective study aims to integrate clinical and laboratory examinations to construct a predictive model that more accurately forecasts the prognosis of patients with M-HCC. This aims to guide personalized treatment strategies and improve overall survival rates. Methods We applied the Lasso and cross-validated Lasso (CV-Lasso) combined with Random Forest analysis to explore the prognostic factors influencing M-HCC. Simultaneously, we utilized the identified prognostic factors to construct a Nomogram. This Nomogram assigns scores based on the magnitude of the impact of each factor on prognosis, enabling the prediction of postoperative survival rates for patients. Subsequently, the model-derived risk scores categorized patients into low-risk and high-risk groups, and Kaplan–Meier curves were generated. Results The patients, who were enrolled, were divided into training and validation sets. Factors influencing the prognosis of M-HCC were identified through Lasso, cross-validated Lasso, and Random Forest analyses, revealing seven key factors: Age, Antiviral, Child–Pugh, Cirrhosis, White Blood Cell (WBC), Platelets (PLT), and Thrombin Time (TT). Nomograms were constructed based on these factors to predict 3-year, 5-year, and 8-year survival rates. ROC curves confirmed the predictive capability of various factors, with larger areas under the curve at 5 (AUC = 0.653) and 8 years (AUC = 0.733). Kaplan–Meier curves stratified patients into low-risk and high-risk groups, showing significantly higher survival times in the low-risk group (p < 0.0001). Conclusions Postoperative antiviral treatment for patients with M-HCC, aimed at enhancing immune function and protecting liver function, has been shown to extend patient survival. Simultaneously, factors such as Child–Pugh, age, and Cirrhosis in patients with M-HCC have been associated with a decrease in postoperative survival time.

The understanding of how the host immune response differs in T-cell phenotype and memory formation during SARS-CoV-2 infection in liver transplant recipients (LTRs) remains limited. LTRs who recovered from COVID-19 infection without prior vaccination represent a unique population for studying immune responses to SARS-CoV-2. Six LTRs with positive neutralizing antibodies (nAb+) and six LTRs with negative nAb (nAb-) were included at 6 months following COVID-19 infection. It was found that nAb+ LTRs had higher anti-RBD IgG titers and greater neutralizing percent inhibition compared to nAb- LTRs. Fifteen T-cell subsets were identified in COVID-19 convalescent LTRs, and it was shown that only terminal effector CD8+ - 3 decreased in the nAb+ group, while elevated IL-10 expression levels were found in the nAb- group. After stimulation with the SARS-CoV-2 XBB spike peptide pool in vitro , it was observed that the nAb+ group exhibited an increase in effector memory CD4+ cells with lower PD-1 expression, a reduction in effector memory CD4+ - 2 cells, and terminal effector CD8+ - 3 cells, while the nAb- group showed high expression of CTLA-4 and IL-10 in terminal effector CD8+ - 3 cells. Four SARS-CoV-2-specific T-cell subsets were identified, with high expression of TNF-α and IFN-γ in terminal effector CD8+ - 1 and terminal effector CD8+ - 2 cells in both groups. Perforin was mainly detected in terminal effector CD8+ - 2 cells in nAb+ LTRs. In addition to these proportional differences, stem cell memory CD4+ cells with higher IL-17A expression and stem cell memory CD8+ cells with higher CTLA-4 expression were also found in nAb- LTRs. These findings suggest that LTRs who developed nAb+ following SARS-CoV-2 infection exhibit stronger T-cell responses, with more robust immune activation and memory recall, compared to nAb- LTRs. This study underscores the importance of understanding T-cell responses during SARS-CoV-2 recovery for guiding vaccination strategies and managing immunity in LTRs.

Background Laennec’s capsule has been found for about 200 years. However, laparoscopic anatomical right and left hemihepatectomy (LARH and LALH) using Laennec’s approach are rarely reported. Methods We retrospectively analyzed the technical details and the surgical outcomes of 15 patients who underwent LAH via Laennec’s approach between May 2017 and July 2020. The operation time, intraoperative blood loss, postoperative complications, and hospital stay were recorded and analyzed. Results Four of 15 patients were diagnosed with hepatic hemangioma, 2 had hepatolithiasis, and 9 patients had primary liver cancer. During the surgery, Laennec’s approach was used for LAH without conversion to open surgery. Four patients were treated with LARH, and 11 patients were cured with LALH. The mean age of the patients was 62.1 ± 6.5 years, and four were male. The mean operative time, blood loss, and length of the postoperative hospital stay were 193 ± 49 min, 247 ± 120 mL, and 8.7 ± 2.0 days, respectively. There was no incidence of postoperative bile leakage and bleeding. No mortality occurred. We also demonstrated that Laennec’s capsule does exist around the peripheral hepatic veins with histological confirmation. Conclusions Laennec’s approach is safe and feasible for LAH. Precise isolation of Laennec’s approach based on Laennec’s capsule helps to standardize the surgical techniques for laparoscopic anatomical hepatectomy.

Lung adenocarcinoma (LUAD), a common type of lung cancer, has become a popularly aggressive cancer. Long noncoding RNAs (lncRNAs) play a critical role in the pathogenesis of human cancers, while the function of double homeobox A pseudogene 8 (DUXAP8) in LUAD remains to be fully inquired. Therefore, our study was conducted to elucidate the DUXAP8 expression in LUAD and its mechanism on the biological features of LUAD cells. Loss-of-function experiments were performed to assess the function of DUXAP8 proliferation and apoptosis of H1975 and A549 cells. Functionally, silencing DUXAP8 inhibited proliferation and induced apoptosis of LUAD cells. Mechanistically, further correlation assay indicated a negative association between miR-26b-5p and DUXAP8 expression. Subsequently, we testified that DUXAP8 exerted its role in the progression and development of LUAD through targeting miR-26b-5p. In summary, our results elucidated that that DUXAP8 promoted tumor progression in LUAD by targeting miR-26b-5p, which provide a novel therapeutic target for diagnosis and therapy of LUAD.

The principal aim of the present study was to develop and validate a nomogram predicting overall survival (OS) in patients with α-fetoprotein (AFP)-negative hepatocellular carcinoma (AFP-NHCC) who experience dynamic changes in AFP level after hepatectomy. A cohort of 870 patients were enrolled and randomly assigned into a training cohort (n=600) and a validation cohort (n=270) at a 7:3 ratio. The key variables contributing to the nomogram were determined through random survival forest analysis and multivariate Cox regression. The discriminative ability of the nomogram was evaluated using time-dependent receiver operating characteristic curves and the area under the curves. Furthermore, the nomogram was comprehensively assessed using the concordance index (C-index), calibration curves and clinical decision curve analysis (DCA). Kaplan-Meier (KM) curves analysis was employed to discern survival rates across diverse risk strata of patients. Ultimately, the nomogram incorporated critical factors including sex, tumor size, globulin levels, gamma-glutamyl transferase and fibrinogen levels. In the training and validation cohorts, the C-indexes were 0.72 [95% confidence interval (CI): 0.685-0.755) and 0.664 (95% CI: 0.611-0.717], respectively, attesting to its predictive validity. The nomogram demonstrated excellent calibration and DCA further confirmed its clinical usefulness. Additionally, KM curve analysis unveiled statistically significant differences in OS among three distinct risk groups. In conclusion, the present study successfully formulated a nomogram predicting 3-, 5- and 8-year OS in patients with AFP-NHCC with dynamic changes in AFP level post-local resection. This model serves as a valuable tool for clinicians to promptly identify high-risk patients, thereby facilitating timely interventions and potentially enhancing patient survival outcomes.

The principal aim of the present study was to develop and validate a nomogram predicting overall survival (OS) in patients with [alpha]-fetoprotein (AFP)-negative hepatocellular carcinoma (AFP-NHCC) who experience dynamic changes in AFP level after hepatectomy. A cohort of 870 patients were enrolled and randomly assigned into a training cohort (n=600) and a validation cohort (n=270) at a 7:3 ratio. The key variables contributing to the nomogram were determined through random survival forest analysis and multivariate Cox regression. The discriminative ability of the nomogram was evaluated using time-dependent receiver operating characteristic curves and the area under the curves. Furthermore, the nomogram was comprehensively assessed using the concordance index (C-index), calibration curves and clinical decision curve analysis (DCA). Kaplan-Meier (KM) curves analysis was employed to discern survival rates across diverse risk strata of patients. Ultimately, the nomogram incorporated critical factors including sex, tumor size, globulin levels, gamma-glutamyl transferase and fibrinogen levels. In the training and validation cohorts, the C-indexes were 0.72 [95% confidence interval (CI): 0.685-0.755) and 0.664 (95% CI: 0.611-0.717], respectively, attesting to its predictive validity. The nomogram demonstrated excellent calibration and DCA further confirmed its clinical usefulness. Additionally, KM curve analysis unveiled statistically significant differences in OS among three distinct risk groups. In conclusion, the present study successfully formulated a nomogram predicting 3-,5- and 8-year OS in patients with AFP-NHCC with dynamic changes in AFP level post-local resection. This model serves as a valuable tool for clinicians to promptly identify high-risk patients, thereby facilitating timely interventions and potentially enhancing patient survival outcomes. Key words: nomogram, [alpha]-fetoprotein-negative hepatocellular carcinoma, hepatectomy, overall survival, dynamic [alpha]-fetoprotein level changes

Recent studies have shown that STIP1 is associated with proliferation and migration in numerous types of tumors; however, the role of STIP1 in lung adenocarcinoma is still poorly understood. Therefore, the aim of this study was to evaluate the role of STIP1 in lung adenocarcinoma, in vitro and in vivo. The expression of STIP1 in lung adenocarcinoma was assessed by immunohistochemistry, RT-qPCR, and Western blot. The effects of STIP1 on the proliferation of lung adenocarcinoma cells were detected by the cell counting kit-8 assay; the effect of STIP1 on adhesion of lung adenocarcinoma cells was detected by Giemsa staining, while the cell scratch and Transwell assays were employed to examine the effect of STIP1 on the migratory ability of lung adenocarcinoma cells. Finally, apoptosis was evaluated by Hoechst staining and flow cytometry. The expression level of STIP1 in lung adenocarcinoma tissue was significantly higher than that in adjacent normal tissue ( <0.05). Compared with that in nontransfected controls, cell proliferation, adhesion, and migration, as well as vimentin protein expression and levels of phosphorylated JAK2/STAT3, were significantly decreased ( <0.05) in A549 lung adenocarcinoma cells transfected with STIP1 shRNA, whereas E-cadherin protein expression and rates of apoptosis were significantly increased in these cells ( < 0.05). Elevated expression of STIP1 in lung adenocarcinoma may enhance the proliferative, adhesive, and migratory ability, and reduce the apoptosis of lung adenocarcinoma cells through the JAK2/STAT3 signaling pathway and epithelial-mesenchymal transition (EMT), thereby promoting the recurrence and metastatic potential of this cancer. The results indicate that STIP1 may be an effective therapeutic target for the treatment of lung adenocarcinoma.

The ISAF reconstruction algorithm is a new method for reconstructing icosahedral molecules from their projections. This algorithm works in spherical coordinate system and can achieve higher resolution than the traditional Fourier-Bessel algorithm in cylindrical coordinate system; however this method needs huge computations, which limits its application in reality. The main bottleneck lies in the calculation of density function as it occupies 90% running time of the whole algorithm. A fast calculation strategy of density function is proposed to solve this problem. This strategy is composed of three components： the fast calculation method of density function of mesh point in spherical coordinate system, the transformation method of density function of mesh point from spherical coordinate system to Cartesian coordinate system and the fast two-phase mapping method. The time complexity of calculating density function is decreased from O[（LM）8] to O[（LM）7] in our strategy. The experimental results on Psv-F simulated data indicate that the speed of calculating density function is increased almost two orders of magnitude and the speedup of the whole algorithm could reach 30 times. In addition, the speedup could go up with the increase in the number of images and the requirement of accuracy.

Novel CdSe quantum dot （QD）-sensitized Au/TiO2 hybrid mesoporous films have been designed, fabricated, and evaluated for photoelectrochemical （PEC） applications. The Au/TiO2 hybrid structures were made by assembly of Au and TiO2 nanoparticles （NPs）. A chemical bath deposition method was applied to deposit CdSe QDs on TiO2 NP films with and without Au NPs embedded. We observed significant enhancements in photocurrent for the film with Au NPs, in the entire spectral region we studied （350-600 nm）. Incident-photon-to-current efficiency （IPCE） data revealed an average enhancement of 50%, and the enhancement was more significant at short wavelength. This substantially improved PEC performance is tentatively attributed to the increased light absorption of CdSe QDs due to light scattering by Au NPs. Interestingly, without QD sensitization, the Au NPs quenched the photocurrent of TiO2 films, due to the dominance of electron trapping over light scattering by Au NPs. The results suggest that metal NPs are potentially useful for improving the photoresponse in PEC cells and possibly in other devices such as solar cells based on QD-sensitized metal oxide nanostructured films. This work demonstrates that metal NPs can serve as light scattering centers, besides functioning as photo-sensitizers and electron traps. The function of metal NPs in a particular nanocomposite film is strongly dependent on their structure and morphology.

Hydrogen evolution reaction (HER) is more sluggish in alkaline than in acidic media because of the additional energy required for water dissociation. Numerous catalysts, including NiO, that offer active sites for water dissociation have been extensively investigated. Yet, the overall HER performance of NiO is still limited by lacking favorable H adsorption sites. Here we show a strategy to activate NiO through carbon doping, which creates under-coordinated Ni sites favorable for H adsorption. DFT calculations reveal that carbon dopant decreases the energy barrier of Heyrovsky step from 1.17 eV to 0.81 eV, suggesting the carbon also serves as a hot-spot for the dissociation of water molecules in water-alkali HER. As a result, the carbon doped NiO catalyst achieves an ultralow overpotential of 27 mV at 10 mA cm −2 , and a low Tafel slope of 36 mV dec −1 , representing the best performance among the state-of-the-art NiO catalysts. While H 2 evolution from water may serve as a renewable source of fuel, there are a limited number of catalysts that are stable and active in alkaline media. Here, authors find carbon doping of NiO to increase the number of favorable sites for H 2 evolution and boost electrocatalytic performances.