Single biomarker could not meet the clinical diagnostic and therapeutic needs in primary liver cancer (PLC) now. Based on the relevant researches and consensus from clinical guidelines, present review addresses the progress, application, and future prospects of multidimensional biomarkers, including models such as GALAD, GALAD-like algorithms (C-GALAD, C-GALADII, GALAD-C), microRNAs, glycoprotein glycome, and the hepatitis B virus genome in the clinical diagnostic and therapeutic applications. This review aims to illustrate the important practical significance of multidimensional application of biomarkers for high-risk prediction, disease diagnosis, therapeutic monitoring, and prognosis evaluation in the clinical management of PLC.

Objective:To explore the value and related mechanism of preoperative serum sialic acid (SA) on evaluating microvascular invasion (MVI) in patients with intrahepatic cholangiocarcinoma (ICC).Methods:A total of 91 patients who underwent surgical resection and were pathologically diagnosed with ICC from December 2020 to September 2024 at the Oriental Hepatobiliary Surgery Hospital affiliated to the Naval Medical University were included in this retrospective analysis. The patients were divided into non-MVI (41 cases) and MVI groups (50 cases). The general data and laboratory examination indexes were collected and analyzed. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for predicting MVI. The predictive value of serum indicators for MVI was evaluated by receiver operating characteristic curves. The correlation between MVI and SA was analyzed by point-biserial correlation. ICC cells stably overexpressing β-galactoside α2, 6-sialyltransferase 1 (ST6GAL1) were generated through lentiviral transfection. ST6GAL1 protein expression and mRNA expression were detected by Western blot and quantitative real-time polymerase chain reaction, respectively. Sambucus nigra (SNA) lectin fluorescence staining was used to detect α2, 6-sialylation levels on cells. Cell migration ability was assessed by wound healing and Transwell assays, and cell proliferation was evaluated by colony formation assays.Results:Compared with the non-MVI group, patients in the MVI group exhibited significantly higher levels of fibrinogen, aspartate aminotransferase, gamma-glutamyl transferase, alkaline phosphatase, SA and 5′-nucleotidase (5′-NT) (all P<0.05). Multivariate logistic regression analysis revealed that SA ( OR=1.01,95% CI 1.01-1.02, P=0.023) was the only independent predictor for MVI. The area under curve of SA in predicting MVI was 0.757 (95% CI 0.640-0.870), sensitivity 67.65%, specificity 77.78%. SA was positively correlated with MVI ( r=0.443, P<0.001). ICC cells overexpressing ST6GAL1 were featured with increased mean fluorescence intensity of SNA lectin, and increased level of α2, 6-sialylation on the cell surface (both P<0.05). The number of colonies formed by hypersialylated ICC cells was also increased ( P<0.05), and both the migration rate and the number of migrating cells were significantly higher ( P<0.05). Conclusions:Serum SA is an independent predictor for MVI in ICC patients. Hypersialylation in ICC cells is associated with higher malignancy.

Single biomarker could not meet the clinical diagnostic and therapeutic needs in primary liver cancer (PLC) now. Based on the relevant researches and consensus from clinical guidelines, present review addresses the progress, application, and future prospects of multidimensional biomarkers, including models such as GALAD, GALAD-like algorithms (C-GALAD, C-GALADII, GALAD-C), microRNAs, glycoprotein glycome, and the hepatitis B virus genome in the clinical diagnostic and therapeutic applications. This review aims to illustrate the important practical significance of multidimensional application of biomarkers for high-risk prediction, disease diagnosis, therapeutic monitoring, and prognosis evaluation in the clinical management of PLC.

Objective:To explore the value and related mechanism of preoperative serum sialic acid (SA) on evaluating microvascular invasion (MVI) in patients with intrahepatic cholangiocarcinoma (ICC).Methods:A total of 91 patients who underwent surgical resection and were pathologically diagnosed with ICC from December 2020 to September 2024 at the Oriental Hepatobiliary Surgery Hospital affiliated to the Naval Medical University were included in this retrospective analysis. The patients were divided into non-MVI (41 cases) and MVI groups (50 cases). The general data and laboratory examination indexes were collected and analyzed. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for predicting MVI. The predictive value of serum indicators for MVI was evaluated by receiver operating characteristic curves. The correlation between MVI and SA was analyzed by point-biserial correlation. ICC cells stably overexpressing β-galactoside α2, 6-sialyltransferase 1 (ST6GAL1) were generated through lentiviral transfection. ST6GAL1 protein expression and mRNA expression were detected by Western blot and quantitative real-time polymerase chain reaction, respectively. Sambucus nigra (SNA) lectin fluorescence staining was used to detect α2, 6-sialylation levels on cells. Cell migration ability was assessed by wound healing and Transwell assays, and cell proliferation was evaluated by colony formation assays.Results:Compared with the non-MVI group, patients in the MVI group exhibited significantly higher levels of fibrinogen, aspartate aminotransferase, gamma-glutamyl transferase, alkaline phosphatase, SA and 5′-nucleotidase (5′-NT) (all P<0.05). Multivariate logistic regression analysis revealed that SA ( OR=1.01,95% CI 1.01-1.02, P=0.023) was the only independent predictor for MVI. The area under curve of SA in predicting MVI was 0.757 (95% CI 0.640-0.870), sensitivity 67.65%, specificity 77.78%. SA was positively correlated with MVI ( r=0.443, P<0.001). ICC cells overexpressing ST6GAL1 were featured with increased mean fluorescence intensity of SNA lectin, and increased level of α2, 6-sialylation on the cell surface (both P<0.05). The number of colonies formed by hypersialylated ICC cells was also increased ( P<0.05), and both the migration rate and the number of migrating cells were significantly higher ( P<0.05). Conclusions:Serum SA is an independent predictor for MVI in ICC patients. Hypersialylation in ICC cells is associated with higher malignancy.

Objective To investigate the risk factors for pediatric acute perforation appendicitis,and to construct a nomogram predictive model and conduct the verification.Methods A total of 426 children patients with appendectomy in this hospital from June 30,2020 to June 30,2022 were selected as the study subjects 340 children with acute appendicitis admitted to the hospital from 30 June 2020 to 28 February 2022 were the training set and 86 children patients with appendicitis hospitalized in this hospital from March 1,2022 to June 30,2022 conducted the external validation(verification set).The univariate and multivariate logistic regression models were employed to analyze the independent risk factors of pediatric acute perforation appendicitis.The nomograms predictive model was constructed.The receiver operating characteristic(ROC)curve and calibra-tion curve were used to evaluate the predictive efficiency of the model.The decision curve analysis(DCA)was used to evaluate the application value of the model.Results Of the 426 children,198 were perforated and 228 were not perforated.The univariate and multivariate logistic regression analyses revealed that elevated C-reac-tive protein(CRP),presence of stercorolith in appendiceal cavity,time of onset to visiting hospital ≥2 d and body temperature ≥37.3 ℃ were the independent risk factors for pediatric acute perforation appendicitis(P＜0.05).The Hosmer-Lemeshow test demonstrated that the nomogram predictive model had good fitting(P=0.869),and the area under the curve(AUC)for the training and validation sets were 0.808 and 0.860 respectively,showing the good predictive ability of the model.The calibration curve closely approach the ideal diagonal.The model showed good discrimination,consistency and accuracy.The DC A revealed that the curve was far away from oblique and horizontal lines,and the model had good clinical practicability.Conclusion The constructed nomogram model of pediatric acute perforation appendicitis has good predictive ability and may help clinic to identify as early as possible.

PI3K/AKT/mTOR signaling pathway plays a crucial role in cell proliferation, survival, differentiation, motility and intracellular transport. PI3Kδ, an isoform of PI3K, is highly expressed in B lymphocytes and is involved in the malignant progression of B-cell lymphoma. Thus, PI3Kδ has emerged as an attractive target for the development of anti-B-cell lymphoma drugs. Currently, there are several PI3Kδ inhibitors approved by the FDA for the treatment of B-cell lymphoma, each with its own characteristics, but also with varying degrees of adverse effects in clinical practice. Due to the complexity and diversity of the pathogenesis of B-cell lymphoma, single-target PI3Kδ inhibitors often have limited efficacy and are prone to drug resistance, and need to be combined with chemotherapy or other targeted drugs to enhance their efficacy. The future trend is to design novel inhibitors with higher efficacy and lower toxicity or to develop novel combination regimens with other chemotherapy, radiotherapy, and target drugs to acquire better anti-tumor effects with reduced adverse effects. This review summarizes the PI3Kδ inhibitors that have been approved for the treatment of B-cell lymphoma or are still in clinical trials, mainly focusing on their characteristics, adverse effects and combination regimens.

Objective:To establish a lectin enzyme-linked immunosorbent assay (lectin-ELISA) for the dection of sialylated fetuin-A and to explore the clinical diagnostic value of sialylated fetuin-A in hepatocellular carcinoma (HCC).Methods:From January 2017 to December 2020, 300 HCC patients and 160 disease controls, including 36 liver cirrhosis subgroups and 124 chronic hepatitis B subgroups, were collected from Shanghai Eastern Hepatobiliary Surgery Hospital. At the same time, 100 healthy subjects were collected as healthy controls. Lectin-ELISA method for detecting sialylated fetuin A was established based on the principle that Sambucus nigra lectin (SNA) can recognize the structure of α-2, 6-linked sialic acid residues. Differences between groups were compared using t-test or analysis of variance. Logistic regression method was used to establish the multi-index joint detection model, and receiver operating characteristic curve (ROC) was used to evaluate the efficacy of single index and joint detection model in the diagnosis of HCC.Results:A lectin-ELISA method for the detection of serum Sia-fetuin A was established. The linear regression coefficient of the system was 0.978 5, and the precision evaluation and interference experiments were in line with the clinical detection requirements. Using this method to detect serum Sia-fetuin A levels in each group, the levels of HCC group, disease control group and healthy control group were 1.362±0.310, 1.199±0.370, 1.086±0.420, respectively, and the three groups decreased in turn. The areas under the curve of Sia-fetuin A, α-fetoprotein, and their combined detection models for differential diagnosis of HCC were 0.790, 0.809, and 0.860, respectively. The diagnostic model had a sensitivity of 79.3% (238/300) and a specificity of 95.0% (247/260). Among the 300 patients in the HCC group, 138 (46%) patients were negative for serum AFP (<20 μg/L), and their serum Sia-fetuin A level was 1.364±0.305. Combining the disease control group and the healthy control group into the non-Cancer group, the serum Sia-fetuin A level was 1.146±0.381. The serum level of Sia-fetuin A in AFP-negative HCC patients was higher than that in non-HCC group ( t=6.134, P<0.001). The areas under the curve of Sia-fetuin A and the combined diagnostic model for the diagnosis of AFP-negative HCC were 0.776 and 0.919, respectively. The combined diagnostic model had a sensitivity of 93.4% (129/138) and a specificity of 77.3% (201/260). Conclusion:Serum Sia-fetuin A and combined determination model can provide a new auxiliary diagnostic index for AFP-negative HCC.

Objective To investigate the expression of multi-glycan in serum of patients with dual-phenotype hepatocellular (DPHCC) and its clinical significance. Methods Serum samples were collected from 65 patients with DPHCC, 80 patients with primary hepatocellular carcinoma (HCC), and 120 patients with liver cirrhosis (LC) who were treated in Mengchao Hepatobiliary Hospital of Fujian Medical University from June 2019 to December 2020. DNA sequencer-aided fluorophore-assisted carbohydrate electrophoresis was used to measure the expression of N-glycan in serum, The measurement data of normal distribution were compared by t -test between the two groups and analysis of variance between multiple groups; The measurement data with non normal distribution were compared by Mann-Whitney U test between the two groups and Kruskal-Wallis H test between multiple groups, the chi-square test was used for comparison of categorical data between groups.The logistic regression method was used to establish the common index model. The efficacy of AFP, PIVKA - Ⅱ, CEA, CA19-9 and multi glycan in the diagnosis of DPHCC was evaluated by receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was compared by Z test. Results There was a significant difference in multi-glycan between the DPHCC group and the HCC group ( P < 0.001), while there were no significant differences in AFP, PIVKA-Ⅱ, CEA, CA19-9, and SUM between the two groups ( P =0.924, 0.084, 0.442, 0.924, and 0.206). Multi-glycan had an area under the ROC curve (AUC) of 0.775, which was significantly higher than that of AFP (0.507), PIVKA-Ⅱ (0.584), CEA (0.537), CA19-9 (0.505), and SUM (0.561), and multi-glycan had a sensitivity of 69.23%, which was increased compared with the other 5 items. There were significant differences in multi-glycan, AFP, PIVKA-Ⅱ, CA19-9, and SUM between the DPHCC group and the LC group (all P < 0.001), but there was no significant difference in CEA between the two groups ( P =0.14). Multi-glycan had an AUC of 0.780, which was also higher than that of AFP (0.767), PIVKA-Ⅱ (0.743), CEA (0.566), CA19-9 (0.689), and SUM (0.713), and multi-glycan had a sensitivity of 89.23%, which was increased compared with the other five items. Conclusion Multi-glycan can be used as one of the indicators for the auxiliary diagnosis of DPHCC.

Circulation biomarker detection is one of the most feasible options for disease screening and monitoring. Focusing on the biomarkers of end stage liver diseases (liver cirrhosis and hepatocellular carcinoma), this article summarized the classification of biomarkers, the exploration and translation of new biomarkers, as well as the applications of the algorithms of the biomarkers. The key points involved in both new biomarker exploration and algorithm construction were addressed. The comprehensive application of available markers, using algorithms, is strongly recommended and should be strengthened in the future for precise clinical management and high-risk predictions in diseases such as hepatocellular carcinoma.

Several immune checkpoint inhibitors (ICIs) have been approved for use in patients with advanced non-small cell lung cancer (NSCLC) based on the results of randomized controlled trials (RCTs), bringing new hope to patients with such disease. However, the applicability of the RCT results is limited due to their strict inclusion criteria and specific clinical settings. Real-world studies (RWS) can integrate data from real-life practice with long-term clinical observations and follow-up, therefore building up the real-world evidence to complement that provided by conventional clinical trials. ICIs have been used in clinical practice in multiple countries and areas for several years. Here, we aim to provide an overview of the efficacy and safety of ICIs in patients with NSCLC included in the large expanded access program and multicenter retrospective observational studies and review the impact of different populations to provide a reference for ICIs use in China.