Objective:To explore the cardioprotective effects of icariin (ICA) against radiation-induced cardiac disease (RICD) in C57BL/6 mice.Methods:A total of 48 female C57BL/6J mice aged 6-8 weeks were randomly divided into three groups: the control group (CON), the irradiation group (IR), and the irradiation combined with icariin group (IR+ ICA), with 16 mice in each group. The IR and IR+ ICA groups received a single cardiac irradiation at a dose of 30 Gy, while the CON group received no radiation treatment. The IR+ ICA group was treated with ICA (70 mg·kg -1·d -1) two weeks before irradiation until the end of the experiment through intragastric administration. In contrast, the CON and IR groups were treated with an equal volume of vehicle solution (0.5% sodium carboxymethyl cellulose, NaCMC) via intragastric administration. The mice′s mental status, food intake, body weight, and survival rates were monitored during the experiment. At two weeks post-irradiation, the venous blood of the mice was collected and serum was separated for the enzyme-linked immunosorbent assays (ELISA) of creatine kinase MB isoenzyme (CK-MB) and cardiac troponin T (cTnT/TNNT2). At 12 weeks post-irradiation, the cardiac function of the mice was assessed using echocardiography. After the mice were euthanized under anesthesia, the histopathological changes and fibrosis degree of their myocardial tissues were assessed using hematoxylin and eosin (HE) and Masson′s trichrome staining, followed by the calculation of collagen volume fraction (CVF). The differential gene expression of brain natriuretic peptide (BNP), transforming growth factor-β (TGF-β), and interleukin-6 (IL-6) in the cardiac tissues of the mice was detected using real-time reverse transcription-polymerase chain reaction (RT-PCR). Apoptosis-related proteins and proteins associated with the phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathway were determined using Western blotting. The survival curves of the mice were plotted using Kaplan-Meier, and the survival differences of the mice among various groups were compared using the log-rank test. Results:After irradiation, the mice in the IR group showed lethargy, as well as decreased food intake and activity, while these symptoms in the IR+ ICA group were significantly alleviated. At two weeks post-irradiation, the CK-MB and cTnT levels of the IR group were significantly elevated compared with the CON group ( t = 5.28, 8.89, P < 0.01). At 12 weeks post-irradiation, the mice in the IR group exhibited significantly decreased body weight ( t = 2.47, P < 0.05) and decreased survival rates ( HR = 8.25, 95% CI: 1.157-58.770, P < 0.05) compared with the CON group. Echocardiography revealed that the IR group featured decreased left ventricular ejection fraction (EF), decreased fractional shortening (FS), and increased left ventricular end-diastolic diameter (LVDD) compared with the CON group ( t = 7.02, 4.45, P < 0.05). Histopathological examination revealed that the IR group suffered from cardiomyocyte edema, disordered arrangement, and increased fibrosis, with an elevated CVF. The IR group exhibited significantly upregulated gene expression of BNP, TGF-β, and IL-6 in cardiac tissues compared with the CON group ( t = 4.23, 6.39, 4.61, P < 0.05). After-irradiation, the IR group exhibited upregulated apoptosis-related proteins Cleaved Caspase-3 and Bax ( t = 6.29, 9.54, P < 0.05), decreased Bcl-2 expression ( t = 8.20, P < 0.001), and decreased phosphorylation levels of PI3K and Akt ( t = 6.47, 3.42, P < 0.001). The symptoms of the mice were partially ameliorated after treatment with ICA. Specifically, the mice in the IR+ ICA group exhibited higher body weight ( t = 5.13, P < 0.001) and significantly higher survival rates ( HR = 0.121, 95% CI: 0.017-0.864, P < 0.05) than the IR group. Compared to the IR group, the IR+ ICA group showed elevated cardiac function indicators EF and FS( t = 3.23, 3.05, P < 0.05), and reduced LVDD ( t = 3.02, P < 0.05). The histopathological analysis revealed mitigated edema and disordered arrangement of cardiomyocytes in the IR+ ICA group. Furthermore, the IR+ ICA group exhibited significantly lower BNP, TGF-β, and IL-6 expression levels than the IR group ( t = 2.83, 4.15, 2.96, P < 0.05). The expression of apoptosis-related proteins Cleaved Caspase-3 and Bax was lower ( t = 3.23, 3.24, P < 0.05), Bcl-2 expression was higher ( t = 5.92, P < 0.001), and restored phosphorylation levels of PI3K and Akt ( t = 2.89, 8.35, P < 0.001). Conclusions:Icariin has protective effects against the RICD. It alleviates cardiomyocyte apoptosis possibly by upregulating the phosphorylation levels of PI3K and Akt.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Background Enhancing the sense of honor and belonging among medical staff is a key component of establishing a modern hospital management system. Compared to medical staff at general hospitals, medical staff at oncology hospitals are more prone to job burnout, yet few studies in China have focused on job burnout among employees in oncology hospitals. Objective To propose a hypothetical model in which job well-being moderates the relationship between stressors and occupational burnout, to explore how stressors influence burnout and potential moderating role of job well-being, and to provide better understanding of job burnout and motivate employees based on the double-edge sword effect of stressors. Methods A cross-sectional survey was conducted in May 2022 at a tertiary oncology specialty hospital in Chongqing, China. A total of 1 898 medical staff were recruited. Data were collectedthrough four scales including a general information questionnaire, Maslach Burnout Inventory-Human Service Survey, Work Stressor Scale, and Occupational Well-being Scale for Medical Staff. Independent sample t-tests and one-way ANOVA were used for univariate comparisons of job burnout. Pearson correlation analysis was employed to examine the relationships between job burnout, stressors, and job well-being. Hierarchical linear regression was conducted to identify factors influencing job burnout and to examine potential moderating role of job well-being in the relationship between stressors and job burnout. Results A total of 2 123 questionnaires were distributed, with 1 898 valid responses, yielding an effective response rate of 89.4%. The prevalence of job burnout was 60.1%. The correlation coefficient was 0.717 (P<0.001) between stressors and burnout, −0.784 (P<0.05) between job well-being and burnout, and −0.744 (P<0.001) between stressors and job well-being. The quadratic stressors showed a statistically significant effect on burnout (β=0.404, P<0.01). Job well-being positively moderated the relationship between the linear stressors and burnout (β=1.289, P<0.001) and negatively moderated the relationship between the quadratic stressors and job burnout (β=−0.571, P<0.01), explaining 7.1% of the variance. Conclusion Job burnout prevalence is relatively high among employees in oncology hospitals. There is a curvilinear relationship between stressors and job burnout, with job well-being moderating this relationship. From a practical perspective, it is recommended to establish a tiered stress alert system to monitor employees’ stress levels and prevent prolonged exposure to high-pressure conditions. Additionally, improving employees’ job well-being through institutional incentives and developmental support can enhance its moderating role in mitigating the adverse effects of stressors on job burnout. Meanwhile, fostering coordinated responses between organizations and individuals is crucial for strengthening mental health management systems, thereby supporting a healthy, stable, and sustainable development of the healthcare workforce.

Objective To establish an optimized diagnostic model for hepatocellular carcinoma(HCC),designated as G-GADA,in chronic hepatitis B(CHB)patients based on the parameters of age,sex,alpha-fetoprotein(AFP),des-γ-carboxy prothrombin(DCP),and Golgi protein 73(GP73),to address the problems of low sensitivity and specificity in the early diagnosis of hepatitis B virus(HBV)-related liver cancer,and to assess the value of this model in the diagnosis of HCC.Methods A retrospective analysis was performed for 201 CHB patients(CHB group),137 patients with HBV-related liver cirrhosis(LC group),and 111 treatment-na?ve patients with newly diagnosed HCC(HCC group)who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from June 2015 to June 2020.Serological markers(AFP,DCP,alpha-fetoprotein L3%[AFP-L3%],and GP73)were compared between groups and were analyzed in terms of their differences from the clinical and tumor characteristics of HCC patients,and the Spearman correlation analysis was used to assess the correlation between different markers.A Logistic regression analysis was used to establish a diagnostic model for liver cancer,and the receiver operating characteristic(ROC)curve was used to assess the diagnostic performance of each marker.Results Comparison of clinical features between CHB,LC,and HCC patients showed that HCC patients had significantly higher age,proportion of male patients,and serum levels of DCP,AFP,GP73,and AFP-L3%(all P<0.05).In HCC patients,DCP levels are associated with tumor size and microvascular invasion;AFP levels are related to patient age,tumor size,tumor number,distant metastasis,and microvascular invasion;AFP-L3%levels are associated with patient age,tumor size,tumor number,distant metastasis,Milan staging,and microvascular invasion;GP73 levels are linked to tumor number,distant metastasis,and microvascular invasion(all P<0.05).The correlation analysis of the serum markers showed a strong positive correlation between AFP and AFP-L3%(r=0.71,P<0.05)and a moderate positive correlation between AFP and GP73(r=0.33,P<0.05)and between AFP-L3%and GP73(r=0.41,P<0.05).Based on the features of age,sex,DCP,AFP,and GP73,the multivariate Logistic regression analysis was used to establish a G-GADA diagnostic model for HCC,and for all patients,the G-GADA model had an area under the ROC curve(AUC)of 0.915(95%confidence interval[CI]:0.875-0.945)in the derivation cohort and 0.913(95%CI:0.862-0.950)in the validation cohort for the diagnosis of HCC.In the AFP-negative patients,the G-GADA model achieved an AUC of 0.884(95%CI:0.833-0.924)in the derivation cohort and 0.851(95%CI:0.779-0.907)in the validation cohort,and in the patients with liver cirrhosis,the G-GADA model achieved an AUC of 0.901(95%CI:0.841-0.944)in the derivation cohort and 0.885(95%CI:0.806-0.940)in the validation cohort.Conclusion The G-GADA diagnostic model based on multiple variables significantly improves the detection rate of HCC,and demonstrates superior diagnostic performance in patients with low AFP expression and those with liver cirrhosis.The G-GADA model has a better clinical application value in the noninvasive diagnosis of HCC.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Objective:To explore the cardioprotective effects of icariin (ICA) against radiation-induced cardiac disease (RICD) in C57BL/6 mice.Methods:A total of 48 female C57BL/6J mice aged 6-8 weeks were randomly divided into three groups: the control group (CON), the irradiation group (IR), and the irradiation combined with icariin group (IR+ ICA), with 16 mice in each group. The IR and IR+ ICA groups received a single cardiac irradiation at a dose of 30 Gy, while the CON group received no radiation treatment. The IR+ ICA group was treated with ICA (70 mg·kg -1·d -1) two weeks before irradiation until the end of the experiment through intragastric administration. In contrast, the CON and IR groups were treated with an equal volume of vehicle solution (0.5% sodium carboxymethyl cellulose, NaCMC) via intragastric administration. The mice′s mental status, food intake, body weight, and survival rates were monitored during the experiment. At two weeks post-irradiation, the venous blood of the mice was collected and serum was separated for the enzyme-linked immunosorbent assays (ELISA) of creatine kinase MB isoenzyme (CK-MB) and cardiac troponin T (cTnT/TNNT2). At 12 weeks post-irradiation, the cardiac function of the mice was assessed using echocardiography. After the mice were euthanized under anesthesia, the histopathological changes and fibrosis degree of their myocardial tissues were assessed using hematoxylin and eosin (HE) and Masson′s trichrome staining, followed by the calculation of collagen volume fraction (CVF). The differential gene expression of brain natriuretic peptide (BNP), transforming growth factor-β (TGF-β), and interleukin-6 (IL-6) in the cardiac tissues of the mice was detected using real-time reverse transcription-polymerase chain reaction (RT-PCR). Apoptosis-related proteins and proteins associated with the phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathway were determined using Western blotting. The survival curves of the mice were plotted using Kaplan-Meier, and the survival differences of the mice among various groups were compared using the log-rank test. Results:After irradiation, the mice in the IR group showed lethargy, as well as decreased food intake and activity, while these symptoms in the IR+ ICA group were significantly alleviated. At two weeks post-irradiation, the CK-MB and cTnT levels of the IR group were significantly elevated compared with the CON group ( t = 5.28, 8.89, P < 0.01). At 12 weeks post-irradiation, the mice in the IR group exhibited significantly decreased body weight ( t = 2.47, P < 0.05) and decreased survival rates ( HR = 8.25, 95% CI: 1.157-58.770, P < 0.05) compared with the CON group. Echocardiography revealed that the IR group featured decreased left ventricular ejection fraction (EF), decreased fractional shortening (FS), and increased left ventricular end-diastolic diameter (LVDD) compared with the CON group ( t = 7.02, 4.45, P < 0.05). Histopathological examination revealed that the IR group suffered from cardiomyocyte edema, disordered arrangement, and increased fibrosis, with an elevated CVF. The IR group exhibited significantly upregulated gene expression of BNP, TGF-β, and IL-6 in cardiac tissues compared with the CON group ( t = 4.23, 6.39, 4.61, P < 0.05). After-irradiation, the IR group exhibited upregulated apoptosis-related proteins Cleaved Caspase-3 and Bax ( t = 6.29, 9.54, P < 0.05), decreased Bcl-2 expression ( t = 8.20, P < 0.001), and decreased phosphorylation levels of PI3K and Akt ( t = 6.47, 3.42, P < 0.001). The symptoms of the mice were partially ameliorated after treatment with ICA. Specifically, the mice in the IR+ ICA group exhibited higher body weight ( t = 5.13, P < 0.001) and significantly higher survival rates ( HR = 0.121, 95% CI: 0.017-0.864, P < 0.05) than the IR group. Compared to the IR group, the IR+ ICA group showed elevated cardiac function indicators EF and FS( t = 3.23, 3.05, P < 0.05), and reduced LVDD ( t = 3.02, P < 0.05). The histopathological analysis revealed mitigated edema and disordered arrangement of cardiomyocytes in the IR+ ICA group. Furthermore, the IR+ ICA group exhibited significantly lower BNP, TGF-β, and IL-6 expression levels than the IR group ( t = 2.83, 4.15, 2.96, P < 0.05). The expression of apoptosis-related proteins Cleaved Caspase-3 and Bax was lower ( t = 3.23, 3.24, P < 0.05), Bcl-2 expression was higher ( t = 5.92, P < 0.001), and restored phosphorylation levels of PI3K and Akt ( t = 2.89, 8.35, P < 0.001). Conclusions:Icariin has protective effects against the RICD. It alleviates cardiomyocyte apoptosis possibly by upregulating the phosphorylation levels of PI3K and Akt.

Objective To establish an optimized diagnostic model for hepatocellular carcinoma(HCC),designated as G-GADA,in chronic hepatitis B(CHB)patients based on the parameters of age,sex,alpha-fetoprotein(AFP),des-γ-carboxy prothrombin(DCP),and Golgi protein 73(GP73),to address the problems of low sensitivity and specificity in the early diagnosis of hepatitis B virus(HBV)-related liver cancer,and to assess the value of this model in the diagnosis of HCC.Methods A retrospective analysis was performed for 201 CHB patients(CHB group),137 patients with HBV-related liver cirrhosis(LC group),and 111 treatment-na?ve patients with newly diagnosed HCC(HCC group)who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from June 2015 to June 2020.Serological markers(AFP,DCP,alpha-fetoprotein L3%[AFP-L3%],and GP73)were compared between groups and were analyzed in terms of their differences from the clinical and tumor characteristics of HCC patients,and the Spearman correlation analysis was used to assess the correlation between different markers.A Logistic regression analysis was used to establish a diagnostic model for liver cancer,and the receiver operating characteristic(ROC)curve was used to assess the diagnostic performance of each marker.Results Comparison of clinical features between CHB,LC,and HCC patients showed that HCC patients had significantly higher age,proportion of male patients,and serum levels of DCP,AFP,GP73,and AFP-L3%(all P<0.05).In HCC patients,DCP levels are associated with tumor size and microvascular invasion;AFP levels are related to patient age,tumor size,tumor number,distant metastasis,and microvascular invasion;AFP-L3%levels are associated with patient age,tumor size,tumor number,distant metastasis,Milan staging,and microvascular invasion;GP73 levels are linked to tumor number,distant metastasis,and microvascular invasion(all P<0.05).The correlation analysis of the serum markers showed a strong positive correlation between AFP and AFP-L3%(r=0.71,P<0.05)and a moderate positive correlation between AFP and GP73(r=0.33,P<0.05)and between AFP-L3%and GP73(r=0.41,P<0.05).Based on the features of age,sex,DCP,AFP,and GP73,the multivariate Logistic regression analysis was used to establish a G-GADA diagnostic model for HCC,and for all patients,the G-GADA model had an area under the ROC curve(AUC)of 0.915(95%confidence interval[CI]:0.875-0.945)in the derivation cohort and 0.913(95%CI:0.862-0.950)in the validation cohort for the diagnosis of HCC.In the AFP-negative patients,the G-GADA model achieved an AUC of 0.884(95%CI:0.833-0.924)in the derivation cohort and 0.851(95%CI:0.779-0.907)in the validation cohort,and in the patients with liver cirrhosis,the G-GADA model achieved an AUC of 0.901(95%CI:0.841-0.944)in the derivation cohort and 0.885(95%CI:0.806-0.940)in the validation cohort.Conclusion The G-GADA diagnostic model based on multiple variables significantly improves the detection rate of HCC,and demonstrates superior diagnostic performance in patients with low AFP expression and those with liver cirrhosis.The G-GADA model has a better clinical application value in the noninvasive diagnosis of HCC.

Chronic hepatitis B virus(HBV)infection is the major cause of chronic hepatitis B(CHB),liver cirrhosis,and primary hepatocellular carcinoma(HCC)and brings huge health and economic burdens to the society.The disease progression of CHB is driven by the interaction between the virus,host immune response,and infected hepatocytes.Staging of the natural history of chronic HBV infection will help to understand disease progression,assess the stage of disease progression,and provide guidance for determining the time and regimen of antiviral therapy.Due to the controversy over the existence of a true immune tolerance phase,Guidelines for the prevention and treatment of chronic hepatitis B(2022 edition)in China weakens the association between disease state and host immune status and provides an updated description of the natural history of chronic HBV infection based on the four disease stages from the 2017 European Association for the Study of the Liver(EASL)guidelines,i.e.,HBeAg-positive chronic HBV infection,HBeAg-positive CHB,HBeAg-negative chronic HBV infection,and HBeAg-negative CHB.Moreover,it fails to fully resolve the issue of the"indeterminate phase".With the growing trend of expanding antiviral treatment strategies in clinical practice,the current staging system based on natural history can hardly meet clinical needs,and thus it is necessary to make updates.This article elaborates on the discovery of the natural history of chronic HBV infection,the problems of the existing staging system of natural history,and related recommendations,in order to simplify the staging system of natural history,align with current antiviral treatment regimens,and facilitate clinical decision-making by clinicians.

Chronic hepatitis B virus (HBV) infection is one of the major public health issues of ongoing global concern. Due to inadequate understanding of the HBV life cycle, there is a lack of effective drugs to cure chronic hepatitis B. During HBV replication, covalently closed circular DNA (cccDNA) serves as the template for viral replication and can be transcribed to produce five viral RNAs of 3.5, 2.4, 2.1 kb and 0.7 kb in length, which are translated to produce HBeAg, core protein, polymerase (P) protein, HBsAg and HBx proteins, respectively. Among them, the 3.5 kb pregenomic RNA (pgRNA) is also the template for viral reverse transcription. Polymerase protein recognizes and binds to the capsid assembly signal on the pgRNA to initiate capsid assembly and reverse transcription. Recent studies have revealed that the processes of splicing, nuclear export, stability, translation, and pgRNA encapsidation of HBV RNAs are regulated by a post-transcriptional regulatory network within the host cell and depend on unique post-transcriptional regulatory elements in the HBV RNA structure. The aim of this review is to overview the post-transcriptional regulatory mechanisms of HBV RNA and their applications in the study of HBV antiviral therapeutics, with the aim of providing new ideas for the development of new drugs targeting HBV RNA.

Chronic hepatitis B virus (HBV) infection is the main etiology of viral hepatitis, cirrhosis, and primary hepatocellular carcinoma and is also a major public health problem worldwide. With the progression of chronic infection, HBV DNA continuously integrates into host DNA and brings about integration and insertion mutations within host genes. In the process of repeated chronic inflammatory necrosis and compensatory regeneration, hepatocytes carrying HBV DNA integration have an advantage in proliferation and frequent clonal expansion formation that causes the accumulation of mutations over time and ultimately malignant transformation of hepatocytes. Although nucleos(t)ide analogs (NAs), currently the most widely used, can effectively inhibit viral replication, delay disease progression in patients with chronic hepatitis B, and significantly reduce the occurrence of end-stage liver disease, many patients still progress to liver cancer. Furthermore, even among clinically cured patients with hepatitis B surface antigen clearance, NAs have not significantly reduced the long-term occurrence of liver cancer, suggesting that their impact under previous treatment strategies for reducing the risk of liver cancer is limited. This could be due to antiviral treatment initiation at a time when patients already have numerous integrated cell proliferation colonies. Hence, NAs have not had any therapeutic impact on the expression of integrated HBV DNA fragments and viral proteins, such as hepatitis B surface antigen. In light of this, we suggest initiating antiviral treatment as early as possible to pursue clinical cure and ultimately reduce the risk of liver cancer in patients with chronic HBV infection.