Metabolomics coupled with bioinformatics may identify relevant biomolecules such as putative biomarkers of specific metabolic pathways related to colorectal diagnosis, classification and prognosis. This study performed an integrated metabolomic profiling of blood serum from 25 colorectal cancer (CRC) cases previously classified (Stage I to IV) compared with 16 controls (disease-free, non-CRC patients), using high-performance liquid chromatography and mass spectrometry (UPLC-QTOF-ESI⁺ MS). More than 400 metabolites were separated and identified, then all data were processed by the advanced Metaboanalyst 5.0 online software, using multi- and univariate analysis, including specificity/sensitivity relationships (area under the curve (AUC) values), enrichment and pathway analysis, identifying the specific pathways affected by cancer progression in the different stages. Several sub-classes of lipids including phosphatidylglycerols (phosphatidylcholines (PCs), phosphatidylethanolamines (PEs) and PAs), fatty acids and sterol esters as well as ceramides confirmed the “lipogenic phenotype” specific to CRC development, namely the upregulated lipogenesis associated with tumor progression. Both multivariate and univariate bioinformatics confirmed the relevance of some putative lipid biomarkers to be responsible for the altered metabolic pathways in colorectal cancer.

Hepatocellular carcinoma is the most common liver malignancy and is among the top five most common cancers. Despite the progress of surgery and chemotherapy, the results are often disappointing, in part due to chemoresistance. This type of tumor has special characteristics that allow the improvement of diagnostic and treatment techniques used in clinical practice, by combining nanotechnology. This article presents a brief review of the literature focused on nano-conditioned diagnostic methods, targeted therapy, and therapeutic implications for the pathology of hepatocellular carcinoma. Within each subdomain, several modern technologies with significant impact were highlighted: serological, imaging, or histopathological diagnosis; intraoperative detection; carrier-type nano-conditioned therapy, thermal ablation, and gene therapy. The prospects offered by nanomedicine will strengthen the hope of more efficient diagnoses and therapies in the future.

The evaluation of patients with early hepatocellular carcinoma (HCC) referred for liver resection is still a matter of debate. Aims: 1) to compare liver stiffness measurement (LSM) by transient elastography with hepatic venous pressure gradient (HVPG) in the prediction of decompensation after liver resection in patients with cirrhosis and early HCC; 2) to identify which definition for posthepatectomy liver failure is better associated with survival.Material and methods: Fifty-one patients (MELD score of 10±3) were included. In this group, 34 patients underwent HVPG measurement, of which 13 (38%) had clinically significant portal hypertension (CSPH) and 35 patients underwent LSM (21.8±17.9 kPa). The study’s end-points were: posthepatectomy liver failure (PHLF) defined according to International Study Group of Liver Surgery criteria and 3-month decompensation defined as de novo ascites, variceal bleeding, jaundice, hepatic encephalopathy and acute kidney injury. The performance of LSM compared to HVPG in predicting the end-points were assessed by AUROC curves and accuracy.Results: Twenty (39%) patients developed PHLF and 15 (29%) developed decompensationat 3 months. Three-month decompensation tended to be better correlated with survival. LSM performed well in predicting decompensation at 3 months (AUROC=0.78, 95%CI: 0.63-0.94; p=0.01), comparable with HVPG (AUROC=0.89, 95%CI: 0.79-1.00; p<0.01) (DeLong test p=0.21). LSM was not sufficiently accurate to predict PHLF.Conclusion: LSM has a similar performance to HVPG in predicting decompensation at 3 months in patients with early HCC submitted to liver resection. Three-month decompensation is better associated with survival.

It has been a long time since tumor ablation was first tested in patients with liver cancer, especially hepatocellular carcinoma. Since than it has become a first line treatment modality for hepatocellular carcinoma. Over the years, the indications of thermal ablation have expanded to colorectal cancer liver metastases and intrahepatic cholangiocarcinoma as well. Together with the new indication for ablation, new ablation devices have been developed as well. Among them microwave ablation shows potential in replacing radiofrequency ablation as the preferred method of thermal ablation in liver cancer. The debate whether radiofrequency or microwave ablation should be the preferred method of treatment in patients with liver cancer remains open. The main purpose of this review is to offer some answers to the question: Microwave ablation in liver tumors: a better tool or simply more power? Various clinical scenarios will be analyzed including small, medium, and intermediate size hepatocellular carcinoma, colorectal cancer liver metastases and intrahepatic cholangiocarcinoma. Furthermore, the advantages, limitations, and technical considerations of MWA treatment will be provided also.

Background & Aims: Hepatocellular carcinoma (HCC) has a growing incidence and studies regarding the risk factors or pathogenesis for this type of carcinoma benefit special interest. This study evaluates the correlations between p53 protein expression and clinical and laboratory factors in patients withHCC. Methods: The study group included 76 patients diagnosed with HCC, either by biopsy or after surgical resection (with curative intent). Immunohistochemistry for p53 protein assessment was performed in all patients. Correlations between the protein 53 expression and age, tumour size, viral infection, liver cirrhosis were performed using the chi-square test (Pearson‘s chi-square) together with the contingency coefficient Kendall‘s coefficient in the tau-b form. Results: In the study group, 51 patients were male (67%) and 25 female (33%). Cirrhosis due to hepatitis virus B or C infection (in a proportion of 63% of the study group) was not significantly associated with the presence of HCC. Altered expression of p53 protein was observed in 69 patients (91%). The relationship between p53 protein expression and patient sex (p=0.067), age (p=0.531), tumour size (p=0.270), presence of hepatitis B and C viral infections (p=0.7), and of liver cirrhosis (p=0.511) was not statistically significant. Conclusion: The p53 protein expression was not significantly associated with the demographic characteristics of the patients, tumour size, presence of viral B and C infections or liver cirrhosis. Abbreviations: HBV: hepatitis B virus; HCV: hepatitis C virus; HCC: hepatocellular carcinoma; TP53: tumour protein p53; MDR: multi-drug resistance gene.