Hepatic resection is the most curative treatment option for early‐stage hepatocellular carcinoma, but is associated with a high recurrence rate, which exceeds 50% at 5 years after surgery. Understanding the genetic basis of hepatocellular carcinoma at surgically curable stages may enable the identification of new molecular biomarkers that accurately identify patients in need of additional early therapeutic interventions. Whole exome sequencing and copy number analysis was performed on 231 hepatocellular carcinomas (72% with hepatitis B viral infection) that were classified as early‐stage hepatocellular carcinomas, candidates for surgical resection. Recurrent mutations were validated by Sanger sequencing. Unsupervised genomic analyses identified an association between specific genetic aberrations and postoperative clinical outcomes. Recurrent somatic mutations were identified in nine genes, including TP53, CTNNB1, AXIN1, RPS6KA3, and RB1. Recurrent homozygous deletions in FAM123A, RB1, and CDKN2A, and high‐copy amplifications in MYC, RSPO2, CCND1, and FGF19 were detected. Pathway analyses of these genes revealed aberrations in the p53, Wnt, PIK3/Ras, cell cycle, and chromatin remodeling pathways. RB1 mutations were significantly associated with cancer‐specific and recurrence‐free survival after resection (multivariate P = 0.038 and P = 0.012, respectively). FGF19 amplifications, known to activate Wnt signaling, were mutually exclusive with CTNNB1 and AXIN1 mutations, and significantly associated with cirrhosis (P = 0.017). Conclusion: RB1 mutations can be used as a prognostic molecular biomarker for resectable hepatocellular carcinoma. Further study is required to investigate the potential role of FGF19 amplification in driving hepatocarcinogenesis in patients with liver cirrhosis and to investigate the potential of anti‐FGF19 treatment in these patients. (Hepatology 2014;60:1971–1981)

Objective High serum HBV DNA levels are associated with high risks of hepatocellular carcinoma (HCC) and cirrhosis in patients with chronic hepatitis B (CHB). Although the immune-tolerant (IT) phase is characterised by high circulating HBV DNA levels, it remains unknown whether antiviral treatment reduces risks of HCC and mortality. Design This historical cohort study included HBeAg-positive patients with CHB with high HBV DNA levels (≥20 000 IU/mL) and no evidence of cirrhosis at a tertiary referral hospital in Korea from 2000 to 2013. The clinical outcomes of 413 untreated IT-phase patients with normal alanine aminotransferase (ALT) levels (females, <19 IU/mL; males, <30 IU/mL) were compared with those of 1497 immune-active (IA)-phase patients (ALT ≥80 IU/mL) treated with nucleos(t)ide analogues. Results The IT group was significantly younger than the IA group (mean age, 38 vs 40 years at baseline, p=0.04). The 10-year estimated cumulative incidences of HCC (12.7% vs 6.1%; p=0.001) and death/transplantation (9.7% vs 3.4%; p<0.001) were significantly higher in the IT group than the IA group. In multivariable analyses, the IT group showed a significantly higher risk of HCC (HR 2.54; 95% CI 1.54 to 4.18) and death/transplantation (HR 3.38; 95% CI 1.85 to 6.16) than the IA group, which was consistently identified through inverse probability treatment weighting, propensity score-matched and competing risks analyses. Conclusions Untreated IT-phase patients with CHB had higher risks of HCC and death/transplantation than treated IA-phase patients. Unnecessary deaths could be prevented through earlier antiviral intervention in select IT-phase patients.

Objective: To develop clinical predictive nomograms generating per-patient numerical probabilities of postoperative recurrence-free and overall survival at specific times. Background: The prognosis after surgical resection is diverse in patients with early-stage hepatocellular carcinoma (HCC). Methods: In a retrospective review, we evaluated data from 1085 mostly early-stage patients newly diagnosed with HCC who were subsequently treated by curative resection. We randomly divided the subjects into derivation (n = 760) and validation (n = 325) samples. Multivariate Cox proportional hazards models were developed and separately validated on the basis of pre- and postoperative clinical and pathological covariates assessed for association with 2-year recurrence and 5-year HCC-specific death. The discriminatory accuracy of the models was compared with traditional tools by analyzing receiver operating characteristic curves. Results: The statistical nomograms built on the basis of sex, serum albumin, platelet count, microvascular invasion, and calculated tumor volume had good calibration and discriminatory abilities, with c-indices of 0.69 (2-year recurrence) and 0.66 (5-year survival), respectively. These models showed satisfactory goodness-of-fit and discrimination abilities in the independent validation cohort (c-index, 0.66 for 2-year recurrence; and 0.67 for 5-year survival). The areas under the receiver operating characteristic curve using our methods were greater than those of conventional staging systems in the validation patients, indicating better discriminatory capability (corresponding c-indices, 0.55–0.56; and 0.55–0.61, respectively). Conclusions: Our simple user-friendly calculators, which present graphically postsurgical prognostic models for recurrence and survival outcomes in patients with curatively resectable HCC, offer useful guidance to clinicians and patients for individually planning recurrence surveillance and adjuvant therapy.

Purpose: Microvascular invasion (MVI) is an important prognostic factor in patients with hepatocellular carcinoma (HCC). However, the reported results of magnetic resonance imaging (MRI) features for predicting MVI of HCC are variable and conflicting. Therefore, this meta-analysis aimed to identify the significant MRI features for MVI of HCC and to determine their diagnostic value. Methods: Original studies reporting the diagnostic performance of MRI for predicting MVI of HCC were identified in MEDLINE and EMBASE up until January 15, 2020. Study quality was assessed using QUADAS-2. A bivariate random-effects model was used to calculate the meta-analytic pooled diagnostic odds ratio (DOR) and 95% confidence interval (CI) for each MRI feature for diagnosing MVI in HCC. The meta-analytic pooled sensitivity and specificity were calculated for the significant MRI features. Results: Among 235 screened articles, we found 36 studies including 4,274 HCCs. Of the 15 available MRI features, 7 were significantly associated with MVI: larger tumor size (>5 cm) (DOR = 5.2, 95% CI [3.0–9.0]), rim arterial enhancement (4.2, 95% CI [1.7–10.6]), arterial peritumoral enhancement (4.4, 95% CI [2.8–6.9]), peritumoral hypointensity on hepatobiliary phase imaging (HBP) (8.2, 95% CI [4.4–15.2]), nonsmooth tumor margin (3.2, 95% CI [2.2–4.4]), multifocality (7.1, 95% CI [2.6–19.5]), and hypointensity on T1-weighted imaging (T1WI) (4.9, 95% CI [2.5–9.6]). Both peritumoral hypointensity on HBP and multifocality showed very high meta-analytic pooled specificities for diagnosing MVI (91.1% [85.4–94.8%] and 93.3% [74.5–98.5%], respectively). Conclusions: Seven MRI features including larger tumor size, rim arterial enhancement, arterial peritumoral enhancement, peritumoral hypointensity on HBP, nonsmooth margin, multifocality, and hypointensity on T1WI were significant predictors for MVI of HCC. These MRI features predictive of MVI can be useful in the management of HCC.