Metabolic disorders across hepatocellular carcinoma in Italy.

BACKGROUND: Metabolic disorders are well-known risk factors for HCC. Conversely, their impact on the natural history of HCC is not established. This study aimed at evaluating the impact of metabolic disorders on clinical features, treatment and survival of HCC patients regardless of its aetiology. METHODS: We analysed the ITA.LI.CA database regarding 839 HCC patients prospectively collected. The following metabolic features were analysed: BMI, diabetes, arterial hypertension, hypercholesterolaemia and hypertriglyceridaemia. According to these features, patients were divided into 3 groups: 0-1, 2 and 3-5 metabolic features. RESULTS: As compared with patients with 0-1 metabolic features, patients with 3-5 features showed lower percentage of HCC diagnosis on surveillance (P = .021), larger tumours (P = .038), better liver function (higher percentage of Child-Pugh class A [P = .007] and MELD < 10 [P = .003]), higher percentage of metastasis (P = .024) and lower percentage of portal vein thrombosis (P = .010). The BCLC stage and treatment options were similar among the 3 groups, with the exception of a less frequent access to loco-regional therapies for BCLC stage B patients with 3-5 features (P = .012). Overall survival and survival according to BCLC stage and/or treatment did not significantly differ among the 3 groups. Only using a probabilistic sensitivity analysis, diabetic patients showed a lower survival (P = .046). MELD score, HCC morphology, nodule size, BCLC stage, portal vein thrombosis and metastasis were independent predictors of lead-time adjusted survival. CONCLUSIONS: Our "real world" study suggests that metabolic disorders shape the clinical presentation of HCC but do not seem to play a major role in setting patient survival.

Variation in genes encoding for interferon λ-3 and λ-4 in the prediction of HCV-1 treatment-induced viral clearance.

BACKGROUND & AIMS: In patients with chronic HCV-1 infection, recent evidences indicate that determination of a dinucleotide polymorphism (ss469415590, ΔG/TT) of a new gene, designated IFN λ-4, might be more accurate than the 12979860CC type of the IL28B locus in predicting sustained virological response (SVR) following peg-interferon and ribavirin. In addition, combined genotyping of different SNPs of the IL28B locus was shown to help dissect patients most prone to SVR among those with rs12979860CT. We examined whether single or combined genotyping of two IL28B SNPs, rs12979860 and rs8099917, and ss469415590 variation might improve the prediction of SVR. RESULTS: In the study cohort of 539 patients, 38% had SVR. The SNPs 12979860CC, rs8099917TT, and rs469415590TT/TT correlated significantly with SVR (68%, 50%, and 67%). Carriers of either the triplotype rs12979860CC_ss469415590TT/TT_rs8099917TT or the diplotype rs12979860CC_ss469415590TT/TT had the highest SVR rate (72%). In carriers of the rs12979860 T allele, neither the rs8099917 nor the ss469415590 improved the response prediction. After pooling this finding with data from previous studies, in rs12979860 T heterozygous individuals the co-presence of the rs8099917TT SNP was associated with improved response prediction. CONCLUSION: In HCV-1 patients, the rs12979860 polymorphism appeared as the hit SNP better predicting response following peg-interferon and ribavirin treatment. Additional ss469415590 or rs8099917 genotyping had no added benefit for response prediction. In the subset of carriers of the rs12979860 T allele, genotyping of the rs8099917 SNP was unhelpful in the present investigation, but may inform clinical prediction of treatment response when our data were pooled with previous investigations.

Neoadjuvant/preoperative gemcitabine for patients with localized pancreatic cancer: a meta-analysis of prospective studies.

BACKGROUND: Long-term prognosis for localized pancreatic cancer remains poor. We sought to assess the benefit of neoadjuvant/preoperative chemotherapy with or without radiotherapy. METHODS: Prospective studies where gemcitabine with or without radiotherapy was provided before surgery in patients with initially resectable or unresectable disease were reviewed by meta-analysis. Primary outcome was survival, and secondary outcomes were tumor response after therapy, toxicity, surgical exploration, and resection rates. RESULTS: Twenty independent studies with 707 participants were included, 366 with resectable lesions and 341 with unresectable lesions. Seven studies were phase I/II trials, 10 phase II, and 3 prospective cohort studies. Estimated 1- and 2-year survival probabilities after resection were 91.7% (95% confidence interval [CI] 75-100) and 67.2% (95% CI 38-87) for initially resectable patients, and 86.3% (95% CI 78-100) and 54.2% (95% CI 25-100) for initially unresectable patients. The complete/partial response rate was 12% (95% CI 4-23) and 27% (95% CI 18-38) in resectable and unresectable lesions, respectively. The rate of treatment-related grade 3-4 toxicity was 31% (95% CI 21-42). Of resectable patients evaluable after restaging, 91% (95% CI 83-97) underwent surgery, and 82% (95% CI 65-95) of explored patients underwent resection. R0 resections amounted to 89% (95% CI 83-94). Of unresectable patients evaluable after restaging, 39% (95% CI 28-50) underwent surgery, and 68% (95% CI 53-82) of explored patients were resected, with 60% (95% CI 50-71) R0 resections. CONCLUSIONS: Current analysis provides marginal support to the assumed benefits of neoadjuvant therapies for patients with resectable cancer, and indicates a potential advantage only for a minority of those with unresectable lesions.

Droplet digital PCR quantification of miR-1290 as a circulating biomarker for pancreatic cancer.

Droplet digital PCR was used to validate miR-1290 as circulating biomarker for pancreatic cancer (PC). The diagnostic performance of miR-1290 was evaluate in 167 PC patients and 267 healthy subjects at clinical risk of developing the disease (HS). MiR-1290 plasma levels were compared to CA 19-9 determinations, and the combination of the two biomarkers was also taken into account. Plasma levels of miR-1290 were higher in PC patients compared to HS (p = 2.55 × 10-16). A similar trend was observed for CA 19-9 determinations (p = 1.03 × 10-47). ROC curve analysis revealed that miR-1290 in combination with CA 19-9 was effective for discriminating between PC patients and HS (AUC = 0.956, 95% CI = 0.933-0.979) than the two biomarkers tested alone (miR-1290: AUC = 0.734, 0.678-0.789; CA 19-9: AUC = 0.914, 0.877-0.951). The discriminating ability was higher when only PC patients with low or slightly increased CA 19-9 levels were compared with HS. MiR-1290 concentrations were not able to differentiate between PC patients with single or multiple risk factors for developing PC. Our data suggest that the absolute quantification of circulating miR-1290 levels does not allow to select patients at clinical risk of PC for entry into a surveillance program, and underline the methodological challenges still existing in utilizing circulating miRNAs as new promising biomarkers for PC.