Serum hepatitis B virus RNA level is associated with biochemical relapse in patients with chronic hepatitis B infection who discontinue nucleos(t)ide analogue treatment.

BACKGROUND: Nucleos(t)ide analogue (NA) discontinuation may be attempted in carefully selected patients with chronic hepatitis B (CHB) infection. AIM: To investigate whether a novel serum marker of quantitative hepatitis B virus (HBV) RNA levels could predict biochemical relapse after NA discontinuation. METHODS: We prospepctively followed non-cirrhotic Asian patients with CHB who stopped NA according to pre-specified stopping criteria. The primary endpoint was biochemical relapse (HBV DNA >2000 IU/mL and alanine transaminase >2x upper limit of normal), which were also the re-treatment criteria. RESULTS: Biochemical relapse occurred in 50 patients (48.3% at year 6). Multivariable analysis showed that higher HBV RNA levels (HR 1.34; P < 0.001) at the time of NA discontinuation were associated with increased biochemical relapse risk. The area under the curve of HBV RNA at the time of NA discontinuation for the incidence of biochemical relapse was 0.760 at 6 years. Six years after treatment discontinuation, all patients with HBV RNA levels ≥20 000 copies/mL at the end of treatment developed a biochemical relapse compared with 23.8% of patients with HBV RNA levels<1000 copies/mL (P < 0.001). More patients with HBV RNA levels <1000 copies/mL at end of treatment achieved loss of hepatitis B surface antigen than patients with higher levels (30.9% vs 1.6%; P = 0.027). CONCLUSIONS: The HBV RNA level at end of treatment predicted biochemical relapse after treatment discontinuation and may be used to guide decisions on treatment discontinuation.

Methodology-dependent performance of serum HBV RNA in predicting treatment outcomes in chronic hepatitis B patients.

BACKGROUND: Whether different serum HBV RNA detection assays can consistently predict treatment outcomes in patients with chronic hepatitis B remains controversial. METHODS: We enrolled 188 patients who had stopped nucleos(t)ide analogues (NAs) (STOP cohort-1, -2) and 78 receiving entecavir (ETV) therapy (ETV cohort) and used double-target (targeting both 5' and 3' ends of the HBV pregenome RNA [DT-RNA]) and three single-target (targeting the S-region [S-RNA], X-region [X-RNA], and poly-A tail of HBV RNA [PolyA-RNA]) assays to predict treatment outcomes. RESULTS: In STOP cohorts, DT-RNA, S-RNA and X-RNA at NAs cessation showed higher predictive powers for clinical relapse (time-dependent areas under the curve [AUCs] for years 1, 2, 3, and 4 ranged between 0.724 and 0.772 in cohort-1, and between 0.741 and 0.824 in cohort-2) than the PolyA-RNA (AUCs between 0.604 and 0.611 in cohort-1; and between 0.530 and 0.584 in cohort-2). The predictive power for 2-year HBeAg loss of the four targeted RNAs in the ETV cohort at 6 months were similar (AUCs, 0.848, 0.838, 0.825, and 0.801), and superior to that of the HBV DNA level at 6 months (AUC, 0.721). CONCLUSION: The outcome prediction performance of serum HBV RNAs is methodology-dependent. PolyA-RNA detection was not recommended to predict off-treatment relapses.

Rapid Turnover of Hepatitis B Virus Covalently Closed Circular DNA Indicated by Monitoring Emergence and Reversion of Signature-Mutation in Treated Chronic Hepatitis B Patients.

BACKGROUND AND AIMS: Hepatitis B virus (HBV) covalently closed circular DNA (cccDNA) plays a pivotal role in the establishment and persistence of HBV infection. Understanding the turnover time of preexisting cccDNA pools would be helpful in designing strategies to clear HBV by fully blocking the de novo generation of cccDNA. APPROACH AND RESULTS: In this study, we retrospectively monitored the emergence and reversion of the rtM204I/V mutant, a signature lamivudine resistance (LAMR ) mutation serving as a biomarker of cccDNA turnover in liver biopsies and longitudinal serum samples from two clinical trials. Methodologies were optimized to differentially isolate and sequence HBV virion DNA, cccDNA, and HBV RNA from clinical samples. A strong correlation was observed between LAMR composition of cccDNA with that of serum and intrahepatic HBV RNA in paired liver and serum samples (r = 0.96 and 0.90, respectively), suggesting that serum HBV RNA can serve as a surrogate marker of cccDNA genetic composition when liver biopsies are unavailable. LAMR mutations emerged and increased from undetectable to 40%-90% within 16-28 weeks in serum HBV RNA from telbivudine-treated patients experiencing virological breakthrough. Similarly, in lamivudine-resistant patients who switched to interferon therapy, serum HBV-RNA population bearing 100% LAMR mutations fully reversed back to wild type within 24-48 weeks. CONCLUSIONS: The genetic composition dynamics of serum HBV RNA and biopsy cccDNA in treated HBV patients indicates that cccDNA turnover occurs relatively rapidly (several months), offering a possibility of HBV cure with finite therapy through completely blocking cccDNA replenishment.

Combining Hepatitis B Virus RNA and Hepatitis B Core-Related Antigen: Guidance for Safely Stopping Nucleos(t)ide Analogues in Hepatitis B e Antigen-Positive Patients With Chronic Hepatitis B.

BACKGROUND: Safe nucleos(t)ide analogue discontinuation in chronic hepatitis B (CHB) is an unmet need. We aimed to investigate whether combining hepatitis B virus (HBV) RNA and hepatitis B core-related antigen (HBcrAg) could perform satisfactorily in predicting off-treatment outcomes. METHODS: The evaluation cohort included 127 hepatitis B e antigen (HBeAg)-positive patients from a multicenter prospective trial who stopped telbivudine-based therapy after achieving HBeAg seroconversion and HBV DNA < 50 IU/mL for > 48 weeks. As validation, 59 patients treated with entecavir or tenofovir before discontinuation were analyzed. RESULTS: At the end of treatment (EOT), HBV RNA and HBcrAg were significant independent predictors of the clinical relapse risk. In the evaluation cohort, no clinical relapse occurred among patients with negative HBV RNA and HBcrAg < 4 log10 U/mL at EOT (low-risk group), whereas 46.8% patients with positive HBV RNA and HBcrAg ≥ 4 log10 U/mL (high-risk group) experienced clinical relapse during 4-year posttreatment follow-up (P < .001); the corresponding incidences in the validation cohort were 0% and 69.4% (P < .001), respectively. More patients in the low-risk group achieved HBsAg loss than the other patients after treatment cessation (16.1% vs 1.3%, P = .002). CONCLUSIONS: Combining HBV RNA and HBcrAg performed satisfactorily in predicting clinical relapse and HBsAg loss after treatment cessation in HBeAg-positive patients with CHB.The combination of hepatitis B virus RNA and hepatitis B core-related antigen performed satisfactorily in predicting clinical relapse and hepatitis B surface antigen loss after stopping nucleos(t)ide analogue treatment among noncirrhotic hepatitis B e antigen-positive patients with chronic hepatitis B and could be used to guide safe discontinuation.

Development and validation of a model for hepatitis B e antigen seroconversion in entecavir-treated patients with chronic hepatitis B.

Achieving hepatitis B e antigen (HBeAg) seroconversion is a satisfactory endpoint during antiviral treatment for chronic hepatitis B (CHB). This study aimed to develop and validate a novel scoring system to predict HBeAg seroconversion during entecavir (ETV) treatment. A total of 526 patients with HBeAg-positive CHB treated with ETV for at least 1 year were randomly assigned to the training and validation cohorts. Baseline parameters including hepatitis B virus DNA, hepatitis B surface antigen (HBsAg), hepatitis B core antibody (HBcAb), and alanine aminotransferase level were quantified. Patients who achieved HBeAg seroconversion were compared with those without HBeAg seroconversion. A prediction model was established to predict HBeAg seroconversion during ETV treatment. After a median follow up of 2.67 years, 93 (36.0%) and 87 (32.5%) patients in the training and validation cohorts developed HBeAg seroconversion. A prediction score composed of age, HBsAg and HBcAb quantification was derived. Areas under receiver operating characteristic curve at 5 years of this prediction score were 0.70 and 0.72 in the training and validation cohorts. By using the dual cutoff values of 0.28 and 0.58, the model was endowed with high sensitivity and specificity to exclude or identify patients developing HBeAg seroconversion (90.3% sensitivity and 90.2% specificity in the training cohort as well as 92.8% sensitivity and 84.4% specificity in the validation cohort, respectively). A novel prediction score that uses baseline clinical variables was developed and validated. The score accurately estimates the probabilities of developing HBeAg seroconversion at 5-years ETV therapy in patients with CHB.

Combining Plasma miRNAs and Computed Tomography Features to Differentiate the Nature of Pulmonary Nodules.

Objective: The purpose of this study was to evaluate the diagnostic efficiency of combining plasma microRNAs (miRNAs) and computed tomography (CT) features in the diagnosis of pulmonary nodules. Methods: Ninety-two pulmonary nodule patients who had undergone surgery were enrolled in our study from July 2016 to March 2018 at the Sun Yat-sen University Cancer Center. A prediction model was established by combining 3 miRNAs (miRNA-146a, -200b, and -7) and CT features to identify the pulmonary nodules of these patients. We evaluated the diagnostic performance of this prediction model for pulmonary nodules using the Receiver Operating Characteristic (ROC) curve. Results: The expression levels of miRNA-146a, -200b, and -7 in early-stage non-small cell lung cancer (NSCLC) patients are significantly higher than those in benign nodule patients. We used these three miRNAs and CT features (pleural indentation and speculation) to establish a prediction model for early-stage NSCLC, with a sensitivity and specificity of 92.9%, 83.3% in the training set, respectively. For the validation process, with the sensitivity of 71.8% and the specificity of 69.2%. For ROC curve analyses, area under the curve (AUC) for tumor identification in the training stage and validation stage were 0.929 and 0.781, respectively. Conclusion: Plasma miRNA-146a, miRNA-200b, and miRNA-7 may be potential biomarkers for the early diagnosis of lung cancer. Our prediction model can help to identify the nature of pulmonary nodules with a relatively high diagnostic efficiency.

Longitudinal Change of Body Mass Index Is Associated With Alanine Aminotransferase Elevation After Complete Viral Suppression in Chronic Hepatitis B Patients.

BACKGROUND: Little is known about cause and intervention for alanine aminotransferase (ALT) elevation after complete viral suppression in patients with chronic hepatitis B (CHB). METHODS: In this prospective cohort study, patients with CHB who were treated with nucleos(t)ide analogs and maintained undetectable levels of hepatitis B virus (HBV) deoxyribonucleic acid (DNA) for at least 6 months were enrolled. Patients were followed up at 6-month intervals, and anthropometric, biochemical, and virological assessments were performed. RESULTS: Of 1965 patients with median follow-up of 18.36 months, one third of patients experienced ALT elevation. Baseline high body mass index ([BMI] defined as ≥25 kg/m2), younger age, and liver cirrhosis independently increased the risk of longitudinal ALT elevation. At the end of follow-up, 89 (4.8%) patients reverted to low BMI, and 92 (5.0%) developed to high BMI. Compared with persistent high BMI, reversion to low BMI reduced the risk of ALT elevation (adjusted odds ratio [aOR], 0.38; 95% confidence interval [CI], 0.19-0.77); compared with persistent low BMI, onset of high BMI increased the risk of ALT elevation (aOR, 1.78; 95% CI, 1.02-3.11). CONCLUSIONS: High BMI is an independent predictor for ALT elevation after complete HBV DNA suppression. Improvement of BMI may have a beneficial effect on ALT normalization and even long-term outcomes.